Three-dimensional mechanical earth modeling

1. A method comprising:

receiving a first dataset indicative of seismic data acquired by at least one sensor in a seismic survey of a field of wells;

receiving a second dataset indicative of wellbore data acquired by at least one sensor in a wellbore survey conducted in at least one of the wells, wherein the first and second datasets are stored in at least one memory;

determining a mechanical earth model for the field using a processor based at least in part on the seismic data and the wellbore data, including using the seismic data and the wellbore data to spatially distribute at least one rock property over a region of the field in the model where wellbore data is sparse or non-existent; and

predicting a stability of at least one of the wellbores based on the mechanical earth model.

2. The method of claim 1 , wherein the act of determining the mechanical earth model comprises:

determining a first set of rock properties based on the seismic data;

independently determining a second set of rock properties based on the wellbore data; and

determining a correlation between the first and second sets of rock properties.

3. The method of claim 2 , further comprising:

spatially distributing rock properties within the model based on the determined correlation such that a lateral rock property of the region in the model is derived from the seismic data and such that a vertical rock property of the region is derived from the wellbore data.

4. The method of claim 2 , wherein the act of determining the correlation comprises applying a pattern matching technique to determine the correlation.

5. The method of claim 4 , wherein the act of applying the pattern matching technique comprises performing neural networking.

6. The method of claim 2 , wherein the act of determining the correlation comprises determining a correlation between elastic rock properties determined from the seismic data and deformation properties determined from the wellbore data.

7. The method of claim 2 , wherein the act of determining the first set of rock properties comprises performing an inversion of the seismic data, and the act of determining the second set of rock properties comprises performing an inversion of the wellbore data.

8. The method of claim 2 , wherein the correlation comprises a nonlinear correlation.

9. The method of claim 1 , wherein the wellbore data is acquired by at least one wellbore logging tool.

10. The method of claim 1 , further comprising:

predicting a sanding potential for at least one of the wellbores based on the mechanical earth model.

11. A system comprising:

an interface to receive a first dataset indicative of a first set of rock properties derived from measurements acquired in a seismic survey of a field of wells and a second dataset indicative of a second set of rock properties of the field independently derived from measurements acquired in a wellbore survey conducted in at least one of the wells; and

a processor to determine a mechanical earth model for the field based at least in part on the first dataset and the second dataset, including using the first dataset and the second dataset to spatially distribute at least one rock property over a region of the field in the model where wellbore data is sparse or non-existent, wherein the processor is further adapted to predict a stability of at least one of the wellbores based on the mechanical earth model.

12. The system of claim 11 , wherein the processor is adapted to process the first dataset and the second data set to determine a correlation between the first and second sets of rock properties.

13. The system of claim 12 , wherein the processor is adapted to apply the determined correlation to spatially distribute rock properties within the model such that a lateral rock property of the region in the model is derived from the first dataset and such that a vertical rock property of the region is derived from the second dataset.

14. The system of claim 12 , wherein the processor is adapted to apply a neural networking technique to determine the correlation.

15. The system of claim 12 , wherein the correlation comprises a nonlinear correlation, and the measurements acquired in the wellbore survey comprise measurements acquired by at least one wellbore logging tool.

16. An article comprising a non-transitory computer readable storage medium to store instructions that when executed by a computer cause the computer to:

receive a first dataset indicative of a first set of rock properties derived from measurements acquired in a seismic survey of a field of wells;

receive a second dataset indicative of a second set of rock properties of the field independently derived from measurements acquired in a wellbore survey conducted in at least one of the wells;

process the first dataset and the second dataset to determine a mechanical earth model for the field based at least in part on the first dataset and the second dataset, including using the first dataset and the second dataset to spatially distribute at least one rock property over a region of the field in the model where wellbore data is sparse or non-existent; and

predict a stability of at least one of the wellbores based on the mechanical earth model.

17. The article of claim 16 , the storage medium storing instructions that when executed cause the computer to process the first dataset and the second dataset to determine a correlation between the first and second sets of rock properties.

18. The article of claim 17 , the storage medium storing instructions that when executed cause the computer to apply the determined correlation to spatially distribute rock properties within the model such that a lateral rock property of the region in the model is derived from the first dataset and such that a vertical rock property of the region is derived from the second dataset.

19. The article of claim 17 , the storage medium storing instructions that when executed cause the computer to apply a neural networking technique to determine the correlation.