A system and method for analyzing and validating oil and gas well production data is disclosed. The system includes a network, a server connected to the network, and a set of wells connected to the network. In a preferred embodiment, the server is programmed to store and execute the method. The method includes the steps of collecting a set of data from the set of wells, performing an first RPI® evaluation on the set of data, creating a matched data set from the set of data, segregating the matched data set into a set of comparison groups, normalizing each comparison group of the set of comparison groups, calculating a set of performance metrics between a subset of the set of comparison groups, and calculating a probability for each performance metric of the set of performance metrics.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. In a system comprising a network, a server connected to the network, a set of wells connected to the network, the server programmed to store and execute instructions that cause the system to perform a method comprising the steps of: collecting a set of data from the set of wells; creating a matched data set from the set of data; generating a set of performance metrics from the matched data set; calculating a probability for each performance metric of the set of performance metrics; and, providing a first probability of a first performance metric that indicates whether the first performance metric for a first comparison group is different from the first performance metric for a second comparison group. 2. The method of claim 1, wherein the hourly data of measured rates of produced phases of each well further include: a surface wellhead flowing pressure, a surface wellhead flowing temperature, a working fluid volume for one of a gas lift and a jet pump, and a working fluid injection pressure. 3. The method of claim 1, further comprising the step of providing the performance metrics that comprise: a total proppant pumped, a reservoir conductivity, an initial effective fracture length, an effective fracture length change, an estimated gas recovery, and a net present volume. 4. The method of claim 1, further comprising the step of providing the first comparison group as a validation group from a first set of wells that use an organic nano-fluid interfacial tension modifier. 5. The method of claim 1, further comprising the step of providing the second comparison group as a baseline group from a second set of wells that do not use the organic nano-fluid interfacial tension modifier. 6. The method of claim 1, wherein the set of data further comprises a set of historical production data for each well of the set of wells, and wherein the step of creating a matched data set further comprises the steps of: generating a historical production curve from the set of historical production data for each well of the set of wells; generating a set of predicted production data from the historical production data for each well of the set of wells; generating a predicted production curve from the set of predicted production data for each well of the set of wells; matching the predicted production curve with the historical production curve for each well of the set of wells; and, recalculating the set of predicted production data. 7. The method of claim 6, further comprising the step of calculating a set of production sums from the matched data set for each well of the set of wells. 8. In a system comprising a network, a server connected to the network, a set of wells connected to the network, the server programmed to store and execute instructions that cause the system to perform a method comprising the steps of: collecting a set of data from the set of wells; creating a matched data set from the set of data; segregating the matched data set into a set of comparison groups; normalizing each comparison group of the set of comparison groups; calculating a set of performance metrics between a subset of the set of comparison groups; calculating a probability for each performance metric of the set of performance metrics; and, providing a first probability of a first performance metric that indicates whether the first performance metric for a first comparison group is different from the first performance metric for a second comparison group. 9. The method of claim 8, wherein the hourly data of measured rates of produced phases of each well further include: a surface wellhead flowing pressure, a surface wellhead flowing temperature, a working fluid volume for one of a gas lift and a jet pump, and a working fluid injection pressure. 10. The method of claim 8, further comprising the step of providing the performance metrics that comprise: a total proppant pumped, a reservoir conductivity, an initial effective fracture length, an effective fracture length change, an estimated gas recovery, and a net present volume. 11. The method of claim 8, further comprising the step of providing the first comparison group as a validation group from a first set of wells that use an organic nano-fluid interfacial tension modifier. 12. The method of claim 11, further comprising the step of providing the second comparison group as a baseline group from a second set of wells that do not use the organic nano-fluid interfacial tension modifier. 13. The method of claim 8, wherein the set of data further comprises a set of historical production data for each well of the set of wells, and wherein the step of creating a matched data set further comprises the steps of: generating a historical production curve from the set of historical production data for each well of the set of wells; generating a set of predicted production data from the historical production data for each well of the set of wells; generating a predicted production curve from the set of predicted production data for each well of the set of wells; matching the predicted production curve with the historical production curve for each well of the set of wells; and, recalculating the set of predicted production data. 14. The method of claim 13, further comprising the step of calculating a set of production sums from the matched data set for each well of the set of wells. 15. A system for verifying oil and gas production, comprising: a network; a server, connected to the network; a set of wells connected to the network; the server programmed to carry out the steps of: receiving a set of data from the set of wells; creating a matched data set from the set of data; generating a set of performance metrics from the matched data set; calculating a probability for each performance metric of the set of performance metrics; and, providing a first probability of a first performance metric that indicates whether the first performance metric for a first comparison group is different from the first performance metric for a second comparison group. 16. The system of claim 15, wherein the hourly data of measured rates of produced phases of each well further include: a surface wellhead flowing pressure, a surface wellhead flowing temperature, a working fluid volume for one of a gas lift and a jet pump, and a working fluid injection pressure. 17. The method of claim 15, wherein the server is further programmed to carry out the step of providing the performance metrics that comprise: a total proppant pumped, a reservoir conductivity, an initial effective fracture length, an effective fracture length change, an estimated gas recovery, and a net present volume. 18. The method of claim 15, further comprising the step of providing the first comparison group as a validation group from a first set of wells that use an organic nano-fluid interfacial tension modifier; and, providing the second comparison group as a baseline group from a second set of wells that do not use the organic nano-fluid interfacial tension modifier. 19. The method of claim 15, wherein the set of data further comprises a set of historical production data for each well of the set of wells, and wherein the step of creating a matched data set further comprises the steps of: generating a historical production curve from the set of historical production data for each well of the set of wells; generating a set of predicted production data from the historical production data for each well of the set of wells; generating a predicted production curve from the set of predicted production data for each well of the set of wells; matching the predicted production curve with the historical production curve for each well of the set of wells; and, recalculating the set of predicted production data. 20. The method of claim 19, further comprising the step of calculating a set of production sums from the matched data set for each well of the set of wells.