A method can include receiving data associated with a geologic environment; based on at least a portion of the data, estimating relationships for multiple properties of the geologic environment; and based at least in part on the relationships, performing simultaneous joint inversion for at least one property of the geologic environment.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method comprising: receiving data associated with a geologic environment; based on at least a portion of the data, estimating relationships for multiple properties of the geologic environment; and based at least in part on the relationships, performing simultaneous joint inversion for at least one property of the geologic environment. 2. The method of claim 1 wherein the estimating relationships comprises polynomial fitting of a cross-property pattern. 3. The method of claim 1 wherein the estimating relationships comprises training an artificial neural network (ANN). 4. The method of claim 1 wherein the estimating relationships comprises estimating an a priori joint probability density function (PDF) of a plurality of properties. 5. The method of claim 1 wherein the estimating relationships comprises estimating an a priori joint probability density function (PDF) of a plurality of properties by training an artificial neural network (ANN). 6. The method of claim 1 wherein the estimating relationships comprises estimating an a priori joint probability density function (PDF) of a plurality of properties by training a radial-basis function (RBF) artificial neural network (ANN). 7. The method of claim 1 wherein estimating relationships comprises imposing a law that applies to at least a portion of the multiple properties. 8. The method of claim 1 wherein estimating relationships comprises linking at least a portion of the multiple properties. 9. The method of claim 1 wherein estimating relationships comprises establishing at least one link that links at least a portion of the multiple properties. 10. The method of claim 1 wherein the estimating relationships comprises assigning geophysical property values to a hidden layer. 11. The method of claim 10 wherein the hidden layer comprises a hidden layer of a network. 12. The method of claim 10 wherein the hidden layer comprises a hidden layer of an artificial neural network. 13. The method of claim 1 wherein the estimating comprises estimating at least in part via a hidden layer governed by a tunable covariance matrix. 14. A system comprising: a processor; memory operatively coupled to the processor; and one or more modules that comprise processor-executable instructions stored in the memory to instruct the system to receive data associated with a geologic environment; based on at least a portion of the data, estimate relationships for multiple properties of the geologic environment; and based at least in part on the relationship, perform simultaneous joint inversion for at least one property of the geologic environment. 15. The system of claim 14 wherein the instructions to instruct the system to perform simultaneous joint inversion for at least one property of the geologic environment comprise SJI engine instructions. 16. The system of claim 14 wherein the instructions to instruct the system to estimate relationships for multiple properties of the geologic environment comprise artificial neural network instructions. 17. The system of claim 14 comprising artificial neural network circuitry wherein the instructions to instruct the system to estimate relationships for multiple properties of the geologic environment comprise instructions that instruct the artificial neural network circuitry. 18. One or more computer-readable storage media comprising computer-executable instructions to instruct a computer to: receive data associated with a geologic environment; based on at least a portion of the data, estimate relationships for multiple properties of the geologic environment; and based at least in part on the relationship, perform simultaneous joint inversion for at least one property of the geologic environment. 19. The one or more computer-readable storage media of claim 18 comprising computer-executable instructions to receive seismic data and nonseismic data. 20. The one or more computer-readable storage media of claim 18 comprising computer-executable instructions to train an artificial neural network.