the disclosed innovations of the present application will be described with particular reference to presently preferred embodiments ( by way of example , and not of limitation ). herein this application , a fraction of the multiphase fluid refers to a numerical value for the weight or volume fraction of the fluid , such as 0 . 85 , for example . this value would correspond to 85 %, for example . herein this application , a phase of a multiphase fluid refers to a particular phase such as a liquid phase , gas phase , or solid phase . additionally herein this application , a phase of a multiphase fluid also refers to a particular liquid phase in a multiphase fluid of two or more liquid phases , with or without a gas phase or phases . additionally herein this application , a phase of a multiphase fluid also refers to a gas phase in a multiphase fluid of two or more liquid phases . fig3 shows a multiphase fluid characterization system 350 according to an illustrative , non - limiting example of a preferred embodiment consistent with the present application , for characterizing a multiphase fluid , such as crude petroleum oil . the crude petroleum oil can be a liquid stream comprising oil and an aqueous or water solution , with entrained non - condensed gas . a gas - liquid - liquid multiphase fluid flow stream 352 can enter the system . the flow rate of the total flow stream can be monitored at 354 . pressure of the flow stream can be monitored at 356 . as discussed below , many different combinations of mechanical devices and instruments can be used . multiphase flow stream 371 can enter gas - liquid separator 360 where a condensible and / or non - condensible gas fraction can be separated from the multiphase fluid to a degree consistent with the composition and physical properties of the multiphase fluid and its components , as well as the design and operating parameters of gas - liquid separator 360 as known to a person having ordinary skill in the design and operations of gas - liquid separators . the gas fraction flow stream 362 exits separator 360 and the flow rate , temperature , and pressure , if any , can be monitored at 364 . the flow ratio of flow stream 362 can be maintained by a suitable device at 366 . as described earlier , gas - liquid production separators are detailed in chapter 12 of the third printing of the petroleum engineering handbook . fig1 . 23 and 12 . 25 from the petroleum engineering handbook show schematics of typical production gas - liquid separators as can be used as separator 360 . a liquid fraction flow stream 376 can be electrically measured for water content using an electrical characterization system at 390 and can be monitored for density , flow rate , temperature , and pressure at 392 . flow ratio can be maintained on stream 376 by a suitable device at 394 . stream 376 and 362 can be combined in mixing or combining device 368 and then exit system 350 as stream 370 . measuring components 354 , 356 , 390 , 392 , and 364 can all or selectively be electrically coupled ( shown as dashed lines on fig3 ) to flow computer or microprocessor system 372 which in one embodiment , performs and outputs the calculations of , for example , the methods of fig1 and 4 . in another embodiment , flow computer or microprocessor system 372 can transmit or output and display collected measurements to external system 374 where the measurements can be stored or other calculations can be performed , including , for example , the methods of fig1 and 4 . a water cut electrical characterization system can perform the function of water content measurement in component 390 . u . s . pat . no . 4 , 996 , 490 describes some of the preferred embodiments of such a water cut electrical characterization system to be used in the present application . fig1 b is a reproduction of fig1 from u . s . pat . no . 4 , 996 , 490 as an example of one embodiment of a microwave analyzer that can be used with the present innovations . fig1 b shows illustrated a diagram of an apparatus for measuring the concentration of one substance or material such as water , in another substance or material such as crude petroleum oil , which is being transmitted as a liquid mixture flow stream through a pipeline . the apparatus is generally designated by the numeral 10 and is particularly adapted for interconnection with a fluid transmission pipeline 12 for sampling the pipeline flow stream . alternatively , the apparatus 10 might become part of the pipeline . the apparatus 10 includes a fluid flow conducting and measurement section 14 comprising an outer conduit section 16 , including spaced apart pipe tee sections 18 having conventional flange portions 20 formed thereon for connection to branch conduit portions of the pipeline 12 . the measurement 14 comprises a coaxial transmission line which includes a center conductor 22 preferably formed of a metal such as stainless steel which extends between opposed end support parts 24 and 26 which are described in detail in the above - referenced patent application . the center conductor 22 preferably comprises a generally cylindrical rod or tube member coaxially arranged in the conduit 16 and provided with an outer sheath 27 formed of a material having a relatively low dielectric loss tangent , preferably less than 0 . 1 at a frequency of 1 . 0 ghz . the sheath 27 preferably comprises a relatively easy - to - fabricate plastic such as polypropylene , a plastic sold under the trademark delrin or one of the fluorocarbon plastics . alternatively , certain ceramics or other materials may also be used as the outer sheath 27 as long as they are low loss tangent dielectric materials . the fit between the outer sheath 27 and the center conductor 22 is preferably a forced or line - to - line fit although some clearance may be permitted as long as fluid flow between the center conductor and the outer sheath is prohibited . in an apparatus where the center conductor has a diameter of 0 . 25 inches , the outer diameter of the sheath 27 is preferably at least about 0 . 50 inches or , alternatively , a ratio of the outer diameter of the sheath to the outer diameter of the center conductor is in the range of about two to one . it has been determined that with the provision of a sheath 27 formed of one of the above - mentioned materials and in the proportions described , that the electrical circuit for propagating microwave radiation through the apparatus 22 retains a high quality signal resolution characteristic in liquid mixtures of oil and water , for example , wherein the water content is relatively high , that is on the order of more than 5 % to 10 % by volume . with this type of center conductor arrangement , the circuit associated with the apparatus 10 and described herein below retains good field intensity or prevents short circuiting of the center conductor to the outer conductor in an unwanted location , the oscillator circuit retains its good load - pulling characteristics with good resolution of phase and the interface between the sheath 27 and the fluid in the conduit 16 is a new propagation medium which has desirable operating characteristics . when the apparatus 10 is operating with a liquid composition which is high in water content or a so - called water continuous phase , the conductivity of the composition is high compared to a good dielectric but low compared to a good conductor and , of course , the liquid composition is in direct contact with the wall surfaces of the measurement section 14 including the center conductor . the insulating sheath 27 prevents the radio frequency ( rf ) energy from being shorted out immediately at the point where the rf energy enters the measurement section or where the fluid cross section begins . moreover , the sheath 27 now becomes the primary region where the rf field is propagated with the conductive fluid becoming a pseudo outer wall of the measurement section in place of the wall of the conduit 16 . the cross sectional measurement of the water - in - oil composition is still preserved due to the large skin depth of the microwave or rf energy at the operating frequency . this skin depth is large through the water as the conducting medium of the outer half of the coaxial transmission line formed by the measurement section . the dielectric structure is now the sheath 27 . the properties of the propagated rf energy still reflect the changing content of the oil in the water and this is related through pulling of the unisolated oscillator which is described herein below . the sheath 27 must be thick enough to maintain a reasonable coaxial impedance to be able to propagate the rf energy into the measurement section 14 and maintain a measurement capability . a very thin dielectric coating on the center conductor 22 will cause a very low impedance with a liquid composition having a high water content and therefore the rf energy would be reflected at the fluid interface . rf energy is not propagated in the interior of a good conductor . the conductor guides the electromagnetic waves . the energy travels in the region between the conductors in a coaxial transmission system with a good dielectric . the currents that are established at the conductor surfaces propagate into the conductor in a direction perpendicular to the direction of the current density . the current density or electric field intensity established at the surface of a good conductor decays rapidly looking into the conductor . when the conductor is resistive or , low conductivity , this depth into the conductor increases rapidly . this phenomenon is known in the art as skin depth . as shown in fig1 b , the center conductor 22 extends through opposed end block members 29 which are also preferably formed of a relatively high insulative material such as a fluorocarbon plastic and the end plug sections are configured in a way similar to the ones described in the above - referenced patent application . the measurement section 14 is operably connected to a source of radio frequency ( rf ) or so - called microwave energy comprising an unbuffered or unisolated , free - running oscillator , generally designated by the numeral 30 . the oscillator 30 includes an active circuit 32 operably connected to a tuning circuit 34 and to an impedance matching network circuit 36 . the circuit 32 is adapted to receive a constant dc voltage , v c , from a source not shown and by way of a filter circuit 38 . the tuning circuit 34 is also adapted to receive a controllable dc voltage , v t , from another source , not shown , by way of a second filter circuit 40 . the oscillator 30 has an appreciable load - pulling characteristic . the fundamental operating frequency of the oscillator is changed as the complex load is changed on the output circuit of the oscillator . the oscillator 30 is preferably of a type commercially available such as from avantek company , santa clara , calif . as their model vto 8030 voltage controlled oscillator . the exemplary oscillator 30 has a maximum load - pulling characteristic of about 35 mhz at a nominal 200 mhz operating frequency into all phases of a short circuit at the end of a 50 ohm line stretcher ( approximately 0 . 5 db return loss ). the oscillator 30 is operably connected to the apparatus measurement section 14 through a suitable connector 44 which is in electrically conductive engagement with the center conductor 22 at the end part 24 and at the opposite end of the center conductor 22 through a second connector 44 , a resistance 46 and with the outer conductor or conduit 16 as illustrated . the end part 26 is also adapted to connect the center conductor 22 with a 10 db directional coupler 48 a which is operable to sample the microwave energy or power transmitted through the coaxial measurement section 14 . the coupler 48 a is connected to a power splitter 49 which is connected to a power sensor 50 a . the directional coupler 48 a may be of a type manufactured by minicircuits company of brooklyn , n . y . as their model zed - 15 - 2b . the power splitter 49 may be of a type zfsc - 2 - 2 also manufactured by minicircuits . the power sensor 50 may be of a type 437b manufactured by hewlett packard of sunnyvale , calif . a second directional coupler 48 b is interposed in the circuit between the end part 24 and the oscillator 30 and is connected to a second power sensor 50 b . the directional couplers 48 a and 48 b may be of identical configuration . the coupler 48 a is connected to the power splitter 49 which provides an output signal which is amplified by an amplifier 56 . the output of the amplifier 56 is adapted to be input to a frequency counter 58 which is also adapted to be connected to a microprocessor 60 . a suitable digital display or readout device 62 is connected to the microprocessor 60 . the amplifier 56 may be of a type commercially available from the above - mentioned minicircuits company as their model zfl - 500 . the frequency counter 58 may be of a type manufactured by hewlett packard company as their model 5342a and the microprocessor 60 may be a hewlett packard type 9836 . the system illustrated in fig1 preferably includes a temperature compensation circuit including a thermocouple 63 operably connected to a conversion circuit 65 to provide a suitable digital signal to the microprocessor 60 . in operation , the changing dielectric constant presented by the material flowing through the measurement section 14 , such as caused by the presence in a liquid mixture , for example , of varying amounts of water in oil or oil in water , causes the oscillator 30 to change its operating frequency over a relatively narrow frequency band as compared with the nominal operating frequency of the oscillator . for example , the oscillator 30 , in a preferred form , can be pulled from its nominal operating frequency through a range of about 20 mhz by the changing dielectric constant of the medium flowing through the measurement section 14 . fig2 shows an exemplary petroleum production , processing , characterization , and storage system 223 according to an illustrative , non - limiting embodiment consistent with the present application in which the multiphase fluid characterization system 350 can be incorporated . a pipeline 229 leads from a set of petroleum - producing wells 227 or a given well 227 a which all or some may be located on land or under - sea . the pipeline 229 can lead to the multiphase fluid characterization system 350 , positioned at point 234 between wells 227 and oil - water production separator 228 . an auto - composite sampler 226 can be positioned either before or after system 350 at point 234 . the stream in pipe 230 represents the separated liquid phase leaving the liquid - gas separator 229 whereas stream 231 is the separated gas leaving the separator . the contents of storage tank or tanks 233 can then be transported . fig1 shows a method according to one embodiment of the disclosed innovations for determining the water cut , gas cut , and oil cut of crude petroleum oil production . in one embodiment , the method of fig1 collects a time series of fluid property data on a multiphase fluid flow stream ( step 158 ), such as can be flowing in pipeline 229 using the characterization system 350 . all of these measured values can then be stored in the memory of the computer or microprocessor system 372 and can then be used to implement the other method steps in fig1 . in one embodiment , the values can also be communicated to an external system 374 via link 396 for various operations such as storage , processing , data manipulation , transform development , and auto - calibration or correction of raw data via the transforms by implementing some or all of the steps of the method of fig1 on external system 374 . in various embodiments , the time series of measurements can include flow rate of the multiphase fluid discharging from the well , temperature of said multiphase fluid , pressure of said multiphase fluid , gas fraction of said multiphase fluid , density of the gas fraction after it is separated in a gas - liquid separator prior to its characterization , liquid level in gas - liquid separator 360 , liquid fraction of said multiphase fluid , flow rate of said liquid fraction , density of said liquid fraction , water cut of said multiphase fluid by both the density method and the electromagnetic characterization method , electromagnetic measurements corresponding to permittivity of said liquid fraction , flags of equipment or devices out - of - range in measurement capability , and electromagnetic power loss measurements through said liquid fraction using apparatus 390 . in one embodiment , step 160 filters the time series of data from step 158 , according to a set of filtering parameters . in various embodiments the filters can remove data points that are uncharacteristic of the performance of the well at that particular time in the operational history or cycle of the well . in one embodiment , step 160 removes start - up data in which the well is momentarily disturbed as it is switched into test mode . this is conventionally known as the “ delay before test begins ” ( dbtb ). in one embodiment , the dbtb value can be entered manually . in one embodiment , the value can be dynamically calculated by the method of fig1 . during the start - up , a large part of the variability in the measurements are caused by the switching action to direct a particular well to a test system , such as system 350 , and the variability during the start of the test is not characteristic of the well at steady state . in one embodiment of the use of the method of fig1 , a well is re - started after being held in a dormant or non - producing state . start - up of such a well can have a start - up period requiring a dbtb of tens of minutes to several hours . in some embodiments , wells which never reach steady state can be tested using the method of fig1 . in some embodiments , the filtering action of step 160 excludes data points from the time series . in one embodiment , step 160 includes auto - calibration routines to correct at least some of the measurements prior to filtering . in one embodiment , step 160 can derive and apply corrective transforms using the methods of u . s . patent applications 60 / 700 , 790 , 60 / 721 , 233 , 60 / 627 , 436 and ser . no . 11 / 273 , 613 . in one embodiment , the corrective transform can be applied to at least one of the plurality of measurements resulting from step 158 . in one embodiment , step 160 removes measurements in which the measurement is out of range of range for the particular device conducting the measurement . in various embodiments , the filtering parameters in step 160 can include upper and / or lower limits for the various measurements in the time series , or for statistical parameters calculated from those measurements . in some embodiments , these statistical parameters can be boxcar variances of measurements in the time series , a boxcar of the standard deviations of the measurements , a boxcar of the means of the measurements , a boxcar of the averages of the measurements , a boxcar of the derivatives of the of the measurements , a boxcar of the total number of excluded measurements from the time series , a boxcar of the maximums of measurements , a box car of minimums of measurements , and flow weighted averages of the measurements of the time series , or various combinations thereof . in some embodiments in step 160 , the boxcar represents a total of the data values within the boxcar . in some embodiments , the boxcar represents an average of the data values within the boxcar . in some embodiments , the boxcar represents the mean of the values within the boxcar . in some embodiments , the boxcar can contain as few as 2 data time points . in some embodiments , the boxcar can be a running statistic for the complete steady state history of the well . in some embodiments , the upper and / or lower limits of step 160 can be fixed , dynamically updated , or calculated . in other embodiments , step 160 can compare the time series of measurements to a model of the multiphase flow behavior , can calculate a deviation value for each time point to determine “ outlier ” data , if any , and then can perform the filtering action using statistics as previously described . in one embodiment , the model can be developed from past historical performance of the well . in one embodiment , step 162 assesses the data quality of a filtered subset of the time series of measurements from step 158 . in one embodiment , an overall data quality index is calculated . in a preferred embodiment of step 162 , the water cut by electromagnetic characterization and the water cut by density are assessed for agreement with each other as a measure of overall data quality for the test . in one embodiment , the difference is calculated between both water cut methods for each data time point . the average , the standard deviation , and the maximum difference is calculated and determined for all of the differences in the filtered time series . one skilled in the art of statistical calculations and comparisons for two devices making the same measurement has knowledge of many other statistical techniques to be applied to or used in step 162 . in one embodiment , this can be an average , weighted average , or normalized average of the variances or standard deviations for a particular selection of measurements . for example , this would be composed of calculations of a statistical parameters for all the values of a particular measurement , such as the variance or standard deviation of a particular measurement . in one embodiment , step 162 can use fixed , calculated , or dynamically calculated upper and lower limits for acceptable quality for a particular measurement . in step 162 , the method can then count or total the number of deviations above the upper and below the lower limits and use the total number of outliers as one embodiment of assessing the data quality . in one embodiment , step 162 can calculate a mean , mode , or average value for the filtered measurements of a particular kind , and then use a plus / minus percentage band of acceptability about the mean or average , in order to determine the total number of data points outside the acceptable band . in step 164 , the data quality acceptability is assessed . in one embodiment , the mean , standard deviation , variance , and maximum difference between the two water cut method determinations across the filtered time series are compared against historical values for that particular well judged by experts as being acceptable for overall data quality . in step 164 , if the data quality is not acceptable , in one embodiment , extra data is collected and the method is repeated . in one embodiment , the test is repeated . in step 164 , if the data quality is acceptable , the method of fig1 outputs at least one characterization output , such as the water cut by electromagnetic characterization using step 168 . in one embodiment , flow weighted averages for the water cut , gas cut , and oil cut can be outputted by step 168 . in a preferred embodiment , flow weighted averages for the total amounts of water , gas , and oil can be outputted by step 168 , where the water cut by electromagnetic characterization is used to calculate the water and oil amounts . in a preferred embodiment , flow weighted averages for the production rates of water , gas , and oil can be outputted by step 168 , where the water cut by electromagnetic characterization is used to calculate the water and oil production rates . in step 166 , in one embodiment , the method of fig1 then selectively adjusts the filtering parameters . in a preferred embodiment , the method of fig1 has maintained historical average water , oil , and gas production rates from previous tests , along with the corresponding statistical parameters for the data quality assessment performed in steps 162 and 164 . in one embodiment , the history is considered since the last work - over of the well , if the well has been worked - over . in one embodiment , the average decline is calculated between each of the tests in step 166 . in one embodiment , the expected average daily production for the next test is calculated , along with upper and lower production limits and the expected statistical performance of each water cut determination method and between those methods as previously described . in one embodiment , these expected values are based on a model of how those values change over time and amount of water , oil , and gas produced from the well . fig4 shows a method according to one embodiment of the disclosed innovations for determining the oil cut , gas cut , and water cut of crude petroleum oil production , and more particularly , the estimated production output and production rate from the particular well being tested . in one embodiment , in step 402 , historical well performance , historical statistics such as filtering parameters , reference values , data sets , parameters , or equations or models which have been fitted to those values , or data sets , or lookup tables , can be maintained and / or inputted for use by the method of fig4 , such as in the calculations , comparisons , exclusions , derivations and applications of corrective transforms by computer or microprocessor system 372 , or various combinations thereof . in one embodiment , a multiphase crude oil flow stream 371 can be separated into a gas stream 362 and a liquid stream 376 as previously described , and shown in fig4 as step 406 as would be performed in separator 360 . in one embodiment , the method of fig4 in step 408 can make and collect electromagnetic characterization measurements of the water cut on stream 376 using electrical characterization apparatus 390 , densitometer measurements of the mixture density and the flow rates of stream 376 measured by the on - line densitometer 392 , and gas conditions and flow rates on stream 362 using gas flow meter 364 . the liquid level in separator 360 can also be measured and collected in the time series of data resulting from step 408 . in one embodiment , all of these measured values as test data set 409 from step 408 can then be stored in the memory of the computer or microprocessor system 372 and can then be used to implement the other method steps in fig4 . in one embodiment , the values can also be communicated to an external system 374 via link 396 for various operations such as storage , processing , data manipulation , transform development , and correction of raw data via the transforms by implementing some or all of the steps of the method of fig4 on external system 374 . in one embodiment , step 403 of method of fig4 can calculate the water cut by density for each time point , the water cut by electromagnetic characterization for each data point , and various characterizations and parameters , including adapting the time delay for exclusion of data based on historical data , using the time series of measurements from test data set 409 for water cut data and flow rate data , and optionally , information and values from input step 402 . in some embodiments , other electrical properties and physical or non - electrical properties can be read and collected in step 408 for other kinds of calculations and comparisons in step 403 . in one embodiment , the method of fig4 can conduct an auto - calibration and correction 470 , as steps 410 and 412 , by deriving and applying at least one corrective transform using the method or methods of u . s . patent applications 60 / 700 , 790 , 60 / 721 , 233 , 60 / 627 , 436 and / or ser . no . 11 / 273 , 613 . in one embodiment , the corrective transform or transforms can be applied to at least one of the plurality of measurements or calculated measurements resulting from steps 403 and / or 408 . in one embodiment , in step 414 , the method of fig4 can do an initialization check 480 , by comparing the corrected data set from step 412 to determine if the well is behaving within the adaptive time delay before test begins (“ atdbtb ”) constraints as inputted in step 402 and / or as calculated in steps 403 and 432 and / or fed back to the historical database of characteristic well behavior , or various combinations thereof . if the well has not “ settled down ” within the particular constraints , the initialization of the test can be delayed in step 415 , thus excluding data points until initialization is achieved . this test can be made sequentially against all data points in data set 409 . in one embodiment , an adaptive exclusion time window can be imposed on data set 409 as another embodiment of step 414 to exclude data if an upset occurs during the test , until steady state or characteristic operation is re - established . in one embodiment , in step 416 , the method of fig4 can perform a phase selection mistake correction check 485 by comparing the water cut by electromagnetic characterization to the water cut by density against an acceptance tolerance inputted in step 402 for each time point to insure that the microwave analyzer properly chose the correct phase under the method of u . s . pat . no . 4 , 996 , 490 as previously described . if the difference between both methods is not within the tolerance , the choice of phase by the microwave analyzer is changed and the water cut by electromagnetic characterization is recalculated in step 417 . in one embodiment , the difference between both methods is checked again in step 418 against the acceptance tolerance . in one embodiment , if the difference is still not within tolerance , the data point is excluded by step 418 . starting with step 419 , in one embodiment , the method of fig4 can perform a series of out of range checks and exclusions 490 for various operating parameters . as a non - limiting example , the method of fig4 performs such checks in steps 419 , 420 , 424 , and 426 . in one embodiment , in step 419 , the method of fig4 can examine the remaining data set from step 416 or step 418 to determine if the gas - liquid separator 360 has acceptable liquid level . if a particular time point is not within the liquid level constraints for the separator , it can be excluded from the data set from steps 416 or 418 , and an upset condition can be established in the data set . in other words , the data point represents a time point where the separator has unacceptably deviated from steady state or characteristic operation according to the inputted or calculated constraints . this test can be made against all data points in the data set from step 416 or step 418 . in a preferred embodiment , an adaptive exclusion time window can be imposed on the data set to exclude data until steady state or characteristic operation for liquid level in the separator is re - established . in one embodiment , in step 420 , the method of fig4 can examine the remaining data set from step 419 to determine if the well is behaving within the range of acceptable temperatures and / or pressures per limits inputted in step 402 and / or as calculated in steps 403 and 432 and / or fed back to the historical database of characteristic well behavior , or various combinations thereof . if a particular time point is not within the constraints , it can be excluded from the data set and an upset condition can be established in the data set . in other words , the data point represents a time point where the well has unacceptably deviated from steady state or characteristic operation according to the inputted or calculated constraints . this test can be made against all data points in the data set from step 419 . in a preferred embodiment , an adaptive exclusion time window can be imposed on the data set to exclude data until steady state or characteristic operation for temperature and pressure is re - established . in one embodiment , in step 424 , the method of fig4 can examine the data set from step 420 to determine if the gas - liquid separator is producing gas and liquid streams 362 and 376 with acceptable densities per limits inputted in step 402 and / or as calculated in steps 403 and 432 and / or fed back to the historical database of characteristic well behavior , or various combinations thereof . if it a particular time point is not within the constraints , it can be excluded from the data set and an upset condition can be established in the data set . in other words , the data point represents a time point where the gas - liquid separator 360 has unacceptably deviated from steady state or characteristic operation according to the inputted or calculated constraints . this test can be made against all data points in the data set from step 420 . in a preferred embodiment , an adaptive exclusion time window can be imposed on the data set from step 420 to exclude data until steady state or characteristic operation is re - established . for example , high densities in the gas phase might indicate that the gas - liquid separator 360 is not performing adequately because liquid phase carryover is being entrained in the gas phase . in the alternative , low densities in the liquid phase might indicate that the gas - liquid separator 360 is not performing adequately because gas phase carry - under is being entrained in the liquid phase . in one embodiment , in step 426 , the method of fig4 can examine the data set from step 424 to determine if the well is behaving within the range of acceptable flow rates or within the turn - down limits of all flow meters pre those inputted in step 402 and / or as calculated in steps 403 and 432 and / or fed back to the historical database of characteristic well behavior , or various combinations thereof . if it a particular time point is not within the constraints , it can be excluded from the data set from step 424 and an upset condition can be established in the data set . in other words , the data point represents a time point where the well has unacceptably deviated from steady state or characteristic operation according to the inputted or calculated constraints . this test can be made against all data points in the data set from step 424 . in a preferred embodiment , an adaptive exclusion time window can be imposed on the data set to exclude data until steady state or characteristic operation is re - established . in one embodiment , data subset 409 a results from step 426 . this data subset has now been corrected via steps 470 and 485 , and filtered via steps 480 and 490 . in one embodiment , in steps 427 and 428 , the method of fig4 performs a data quality assessment 495 on data subset 409 a . in one embodiment , an overall data quality index is calculated . in a preferred embodiment , the water cut by electromagnetic characterization and the water cut by density are assessed for agreement with each other as the measure of overall data quality for the test . in one embodiment , the difference is calculated between both water cut methods for each data time point . the average , the standard deviation , and the maximum difference is calculated for all of the differences in 409 a . one skilled in the art of statistical calculations and comparisons for two devices making the same measurement has knowledge of many other statistical techniques to be applied to steps 427 and 428 . in one embodiment , this can be an average , weighted average , or normalized average of the variances or standard deviations for a particular selection of measurements . for example , this would be composed of calculations of a statistical parameters for all the values of a particular measurement , such as the variance or standard deviation of a particular measurement . in one embodiment , steps 427 and 428 can use fixed , calculated , or dynamically calculated upper and lower limits for acceptable quality for a particular measurement . in steps 427 and 428 , the method can then count or total the number of deviations above the upper and below the lower limits and use the total number of outliers as one embodiment of assessing the data quality . in another embodiment , steps 427 and 428 can calculate a mean , mode , or average value for the filtered measurements of a particular kind , and then use a plus / minus percentage band of acceptability about the mean or average to determine the total number of data points outside the acceptable band . in steps 427 and 428 , in one embodiment , the mean , standard deviation , variance , and maximum difference between the two water cut method determinations across the filtered time series are compared against historical values for that particular well judged by experts as being acceptable for overall data quality . in step 428 , if the data quality is not acceptable , in one embodiment , extra data is collected per step 434 and the method is repeated by returning to step 408 . in one embodiment , the total test is repeated . in one embodiment , step 429 can check to determine if too many iterations of data collection are made and / or if too much data has been excluded from data set 409 . this checks , in one embodiment , can be made against expert determinations of iteration limits or percentage of data excluded limits . in step 428 , if the data quality is acceptable , the method of fig4 outputs at least one characterization output , such as the water cut by electromagnetic characterization using step 438 . in one embodiment , flow weighted averages for the water cut , gas cut , and oil cut can be calculated and outputted by steps 430 and 438 . in a preferred embodiment , flow weighted averages for the total amounts of water , gas , and oil can be calculated and outputted by steps 430 and 438 , where the water cut by electromagnetic characterization is used to calculate the water and oil amounts . in a preferred embodiment , flow weighted averages for the production rates of water , gas , and oil can be calculated and outputted by steps 430 and 438 where the water cut by electromagnetic characterization is used to calculate the water and oil production rates . in step 432 , in one embodiment , the method of fig4 then selectively adjusts the filtering parameters . in a preferred embodiment , the method of fig4 has maintained historical averages for water , oil , and gas production rates from previous tests , along with the corresponding statistical parameters for the data quality assessment performed in steps 427 and 428 . in one embodiment , the history is considered back to the last work - over of the well , if the well has been worked - over . in one embodiment , the average decline is calculated between each of the tests in step 432 . in one embodiment , the expected average daily production for the next test is calculated , along with upper and lower production limits and the expected statistical performance of each water cut determination method and between those methods as previously described . in one embodiment , these expected values are based on a model of how those values change over time and amount of water , oil , and gas produced from the well . in a preferred embodiment , data can be excluded from the data set to be processed by first excluding data using an adaptive delay before test begins (“ atdbtb ”) conditions not met per step 414 . then using a boxcar technique , data can be excluded using a two sigma window to flow rates out of range per step 426 , temperature and pressure out of range per step 420 , and optionally , densities out of range for both liquid and gas per step 424 . in one embodiment , if the exclusion conditions for any one or combinations of steps 414 , 419 , 420 , 424 , and 426 are never met or they exclude so much data as to not provide for a representative or required period of time for well production measurement , this event can be flagged via step 434 to an operator or sent via external communications link 396 to allow for a notification or manual corrective action . in a preferred embodiment , adaptive adjustment and learning of the exclusion conditions can be made . in a preferred embodiment , one or more of the steps of the method of fig4 can be done near - real time while the data and measurements are being read in step 408 and optionally adjusts , lengthens , or stops the data collection period to assure that enough representative data is gathered for an adequate well test . in a preferred embodiment , the method of fig4 can output the an quality overall index , as an indication of the goodness of the test . as an illustrative , non - limiting example , a preferred embodiment of the present invention can be applied to determine the water cut of a production well that had just been switched into service . fig5 shows a time series of water cut measurements ( 501 ) over a 73 minute period for a particular well 227 a and testing system 350 as shown in fig3 , 1 b , and 2 using some of the innovations of the methods of fig1 and 4 . the well had been tested before and a manual determination of the delay before test begins (“ dbtb ”) had been made at 30 minutes as shown on fig5 at 502 . note that the well actually behaved reasonably well during the first 18 minutes as would be judged by a person having ordinary skill in the art of statistics of time series when looking at the points within zone 504 relative to the rest of points of time series 501 . however , at minute 19 the well became erratic and did not settle down until about minute 30 , as shown by zone 506 points . in one embodiment of the innovations of the present application , the manual dbtb can be treated as the bare minimum for the atdbtb by the methods of fig1 and / or fig4 . fig5 a shows a set of running boxcar averages of statistical variance of 10 , 15 , and 20 minutes of data within the three exemplary boxcars 550 a . the 73 minute time period was divided by a person having ordinary skill in the art of time series statistics into four sub - periods as 552 a , 554 a , 556 a , and 558 a . such a person can clearly see that the variance generally decreases across the four periods . during period 558 a the well had settled down to a variance under 30 as shown on fig5 a for all boxcar variances . one of ordinary skill in the art of statistics of time series will also see that the variance of the boxcar tends to decrease as the boxcar duration gets longer , but that all three box cars peak at the roughly 26 to 32 minute time points . as the variances drop on fig5 a , the well is said to have been “ settling down .” in a preferred embodiment , an adaptively established maximum variance can be established for which a particular well , based on its historical performance , must fall below for the adtbtb constraints to be met , to allow initialization of data inclusion to determine an average property or properties of the crude petroleum oil flow stream . fig5 b shows the same data as fig5 a except that the data is smoothed and the maximums of the three 550 b box cars are shown as points 560 b , 562 b , and 564 b , corresponding to time points 28 , 33 , and 35 minutes , respectively . fig5 c shows a table of statistics for the four periods of fig5 a . fig5 c first shows that the average maximum between the three box car periods of 10 , 15 , and 20 minutes was 32 minutes . in this example , the methods of fig1 and fig4 can select this as the atdbtb , adapting the delay from 30 minutes , as set manually , to 32 minutes based on this particular strategy for determining atdbtb . in particular , the method of fig4 can calculate this value in steps 403 and test meeting the value on the data set at step 414 . fig5 c then shows how the average box car variance actually increases from period 552 a to period 554 a while the actual average water cut percentage difference between period 554 a and period 1b is only 0 . 104 % which is within the range of the two most accurate astm off - line measurement error rates . thus , the data within period 554 a is usable and would not need to be excluded . fig5 c also shows that the particular atdbtb strategy used in this example that arrived at using the last 41 data points arrived at a value of 62 . 451 % water cut with an average variance of 28 . 424 , which is only 0 . 016 % different that the value for the last period 556 b which has a water cut % of 62 . 525 , with a relatively low variance of 19 . 608 . this demonstrates that very accurate determinations of water cuts can be achieved while not waiting for the average variance to achieve a steady state value . as another illustrative , non - limiting example , a preferred embodiment of the present invention can be applied to determine the water cut of a production well that cycles as a steady state operation . fig6 shows a time series of water cut measurements ( 601 ) over a 73 minute period for a particular well 227 a and testing system 350 as shown in fig3 , 1 b , and 2 using some of the innovations of the methods of fig1 and 4 . fig6 shows a switch was made between testing well # 1 602 and well # 2 604 and shows a transition period 610 which can be subjected to the methods of fig1 and fig4 , or other embodiments , to determine the atdbtb value . note also that spurious water cut signal 606 in well test # 2 could be filtered out using any one of commonly known signal filtering techniques known to a person having ordinary skill in the art of signal filtering . of interest is well test # 1 which shows very cyclic behavior that obviously has a higher variance in percentage water cut than well # 2 , as would be judged by one having ordinary skill in time series statistics . yet , the regularity of the cycle suggests this is not un - steady state but is in - fact the characteristic behavior of that particular well . for example , a cycling intermittent gas lift might cause such behavior . the regularity of wave amplitude 612 and period 608 suggests steady - state wave behavior . step 402 could maintain , and periodically update , a historical model of the well behavior which fit a sinusoidal wave or wavelet equation to historical data . in one embodiment , step 403 could calculate additional waveform characterizations . as another illustrative , non - limiting example , a preferred embodiment of the present invention can be applied to determine the water cut of a production well that changes water and oil phase characteristics . fig7 shows actual data for a one year period of operation for a particular well where water cut generally dropped over time , but where the oil and water mixture inverted from water - continuous points 702 to oil - continuous at point 704 . the methods of fig1 or fig4 can optionally include testing for whether the continuous phase behavior of the well or phase inversion behavior was characteristic of the well . as another illustrative , non - limiting example , a preferred embodiment of the present invention can be applied to determine the water cut of a production well that experiences faults in the ability of the electrical characterization system 390 to properly choose the correct continuous phase . fig8 shows actual data for a particular well for water cut by density 802 and water cut by electromagnetic characterization 804 . it is obvious that the variance of water cut by density is less than the variance of water cut by electromagnetic characterization . in this case , if the assumption is made that the water cut by density lower variance indicates that the water cut by electromagnetic characterization is experiencing fault conditions , the methods of fig1 and fig4 can detect then exclude the fault condition , as shown in steps 416 , 417 , and 418 . according to a disclosed class of innovative embodiments , there is provided a method for characterizing fluid produced by a hydrocarbon well , comprising the actions of : ( a ) collecting a time series of data of property measurements of the fluid , ( b ) filtering said data to generate at least one time series subset , ( c ) assessing whether said subset provides acceptable data quality and providing at least one characterization measurement output if so , and ( d ) selectively adjusting at least one parameters for said filtering action , in dependence on said assessing action . according to a disclosed class of innovative embodiments , there is provided a multiphase fluid characterization system , comprising a gas - liquid separator to separate a multiphase fluid into a gas stream and a liquid stream , a characterization stage which makes one or more property measurements of said liquid and said gas streams , and a logic circuit which collects a time series of measurements from said characterization stage , filters said time series to generate at least one time series subset , assesses whether said subset provides acceptable data quality and providing at least one characterization measurement output if so , and selectively adjusts at least one parameters for said filtering action , in dependence on said assessing action . as will be recognized by those skilled in the art , the innovative concepts described in the present application can be modified and varied over a range of applications , and accordingly the scope of patented subject matter is not limited by any of the specific exemplary teachings given . it is intended to embrace all such alternatives , modifications and variations that fall within the spirit and broad scope of the appended claims . the methods and systems of the present application can operate across a wide range of processing situations and conditions . one of ordinary skill in the art , with the benefit of this disclosure , will recognize the appropriate use of the methods and systems for a chosen application of a given or dynamic set of operating parameters , including type of well , well pressure , well discharge temperature , discharge flow rate , multiphase fluid composition , aqueous phase composition , non - aqueous - phase composition , presence of condensible gases , presence of non - condensible gases , use of flow stream conditioning operations prior to characterization , flow stream pipe location , slip - stream installation versus full - stream installation versus insertion installation , characterization apparatus location , ambient temperature , or other conditions . optionally , the methods and systems of the present application can be configured or combined in various schemes . the combination or configuration depends partially on the required measuring precision and accuracy and the operational envelope of the process . one of ordinary skill in the art , with the benefit of this disclosure , will recognize the appropriate combination or configuration for a chosen application . optionally , the methods and systems of the present application can be used at the wellhead of ( or slightly downstream from ) a producing hydrocarbon well to improve the characterization of that well using at least some of the filtering parameters from another well sourcing hydrocarbon from the same reservoir , field , or subterranean formation as the well being tested . in this instance linkages 399 can used to communicate the filtering parameters inter - well . optionally , the methods and systems of the present application can be used at the wellhead of ( or slightly downstream from ) a producing hydrocarbon well to selectively adjust filtering parameters no more frequently than about once every two or three liquid phase hold - up periods for a particular well . optionally , multiphase fluid temperature compensation can be employed used to adjust for shifts in temperature using reference data sets relating temperature change to total fluid density change , or curves fitted to such reference data . optionally , because the thermal expansion of an oil continuous dispersion is generally different than the thermal expansion of a water - continuous dispersion , different reference data sets or curves fitted to such data sets may be employed . optionally , because the coefficient of thermal expansion for aqueous solutions and non - aqueous solutions differ , calculation routines can use the measured first phase fraction to better adjust for such temperature shifts . one of ordinary skill in the art , with the benefit of this disclosure , will recognize the appropriate systems to employ for such temperature compensation methods . optionally , methods such as the methods of fig1 or fig4 could include a subroutine incorporating the disclosure or teaching of scott &# 39 ; 613 to account for uncertainties in oil - continuous dispersions of less than about 5 % water - cut . optionally , methods such as the methods of fig1 or fig4 could include a subroutine incorporating the disclosure or teaching of scott &# 39 ; 613 to adjust for shifts in the actual dry oil density away from the calibration dry oil density . optionally , examples of suitable hardware which can be fully or partially modified to fully or partially embody the methods and systems of the present application include those that are commercially available from phase dynamics of richardson , texas , under the name known to the industry as compact cyclone multiphase meter (“ ccm ”). optionally , the systems of the present application may not include an on - board gas - liquid separator such as is present in the ccm , but where gases are essentially removed in a production separator , prior to conducting said time series of measurements . optionally , the systems of the present application may not include a densitometer such as is present in the ccm . optionally , the systems of the present application may not be located in a pipe or conduit . in one class of embodiments , the physical property measuring component and the electrical property measuring component may be located via an insertion installation in a vessel such as a storage tank , mixing tank , accumulator , separator , liquid - liquid contactor , or other processing device for which a multiphase fluid characterization is required . one of ordinary skill in the art , with the benefit of this disclosure , will recognize the appropriateness of the methods and systems of the present application for a chosen application . optionally , the systems of the present application can include a sampling port for comparison of the on - line determinations of first phase with an off - line determination . optionally , the pre - determined filtering parameters of the methods of the present application may not only be predetermined values of particular measurements or calculations to trigger filtering , but the parameters may be a sub - routine of equations , comparisons , noise reduction , or other data manipulation techniques . one of ordinary skill in the art of data manipulation , with the benefit of this disclosure , will recognize the appropriateness of such sub - routine options . optionally , the methods of the present application can also be embodied in a set of instructions that can be used on a general purpose desktop or laptop computer or microprocessor system , such as external system 374 . the set of instructions can comprise input instructions that receives data from flow computer or microprocessor system 372 . similarly , the input instructions can accept instructions from a user via one or more input devices , such as a keyboard , mouse , touchpad , or other input device . the instructions can also implement the methods of the present invention or any part thereof to generate , for example , an updated transform for the calculation of first phase fraction by either the density method or the electromagnetic characterization method . the instructions can cause the computer or microprocessor system to display information , such as the results of the methods of the present invention , to a user , through a display monitor , printer , generated electronic file , or other such device . the instructions can also cause the computer or microprocessor system to transmit the results to a distant user via modem , cable , satellite , cell link , or other such means . for such digital communications , rs - 422 or rs - 485 can optionally be used to allow links from flow computer or microprocessor system 372 or external system 374 to multiple external units . optionally , a 4 - 20 milliamp analog output signal can be used to allow external processing of the system measurements . optionally , the methods of the present invention can also be embodied in a computer readable medium . the present application frequently refers to “ microwave ” measurements for electromagnetic characterization which uses a baseline oscillator frequency in the vhf or uhf range . however , this term is used merely for convenience , and a variety of frequencies and methods can be used for electromagnetic characterization . the preferred embodiment uses frequency measurement of a load - pulled oscillator to achieve electromagnetic characterization of a fluid flow which has some electromagnetic coupling to the oscillator &# 39 ; s feedback path . this embodiment is particularly preferable , due to the sensitivity and rapid response of load - pulled measurement systems . however , it should be noted that many of the disclosed inventions can also ( alternatively and less preferably ) be applied to many other kinds of electromagnetic characterization systems . additional general background , which helps to show variations and implementations , may be found in the following publications , all of which are hereby incorporated by reference : bentley n . scott , larry baker , and dr . bjornar svingen , 16 th north sea flow measurement workshop 1998 , “ well testing issues and a new compact cyclone system ;” compact cyclone multiphase meter ( ccm ) specifications sheet , ccm literature 0205 , available on the web at http :// www . phasedynamics . com , ( as of the filing date of this application ); “ family of water cut analyzers , analyzer family 0306 ,” available on the web at http :// www . phasedynamics . com ( as of the filing date of this application ); and babak ghaempanah , parviz mehdizadeh , and stuart l . scott , “ improving the quality of production data and its effect on allocation factor and reserve estimation ,” society of petroleum engineers publication spe 103319 , 2006 . none of the description in the present application should be read as implying that any particular element , step , or function is an essential element which must be included in the claim scope : the scope of patented subject matter is defined only by the allowed claims . moreover , none of these claims are intended to invoke paragraph six of 35 usc section 112 unless the exact words “ means for ” are followed by a participle . the claims as filed are intended to be as comprehensive as possible , and no subject matter is intentionally relinquished , dedicated , or abandoned .