Method, system and apparatus for determining rock strength using sonic logging
A method is disclosed for determining a rock strength of an Earth formation, including: receiving a signal representing a measured variation of velocities or slownesses as function of radius from and azimuth around a borehole; generating predictions from a Mechanical Earth Model (MEM) representing predictions of a variation of stress and hence velocity as a function of distance from, and azimuth around, the borehole, the MEM including a rock strength model adapted for generating a further prediction representing a predicted variation of velocities or slowness; changing the rock strength in the rock strength model of the Mechanical Earth Model until the further prediction substantially matches the measured variation in velocity around and from the borehole; and generating a set of parameters, wherein the parameters are used to populate the MEM and are used in subsequent calculations.
1. A method for determining a rock strength of an Earth formation, comprising:
receiving a signal from a Sonic Scanner tool representing a measured variation of velocities or slownesses as function of radius from and azimuth around a borehole;
in response to said signal, generating predictions from a Mechanical Earth Model (MEM) representing predictions of a variation of stress and hence velocity as a function of distance from, and azimuth around, the borehole, the MEM including a rock strength model adapted for generating a further prediction representing a predicted variation of velocities or slowness;
changing the rock strength in the rock strength model of the Mechanical Earth Model until the further prediction substantially matches said measured variation in velocity around and from the borehole; and
on the condition that the further prediction substantially matches the measured variation in velocity around and from the borehole, generating a set of parameters, wherein said parameters are used to populate the MEM and are used in subsequent calculations.
2. The method of claim 1 , wherein said signal representing a measured variation of velocities or slownesses as a function of radius from and azimuth around a borehole is generated by a sonic scanner tool.
3. The method of claim 1 , wherein said set of parameters include unconfined compressive strength.
4. The method of claim 1 , wherein said set of parameters include friction angle.
5. The method of claim 1 , wherein said set of parameters include one or more geomechanical parameters.
6. The method of claim 1 , wherein the changing step, adapted for changing the rock strength in the rock strength model of the Mechanical Earth Model until the predictions substantially match said measured variation in velocity around and from the borehole, comprises:
determining a first estimate of unconfined compressive strength and friction angle and other geomechanical parameters using correlations between log measurements and geomechanical properties.
7. The method of claim 6 , wherein the changing step further comprises:
determining a second estimate of a far field stress and pore pressure using a geomechanical workflow.
8. The method of claim 7 , wherein the changing step further comprises:
providing the first estimate and the second estimate and a borehole geometry to a computational model that is capable of predicting rock yield and failure, and
calculating a stress distribution variation with radius and azimuth around the borehole.
9. The method of claim 8 , wherein the changing step further comprises:
in response to said stress distribution, computing a variation in compressional, fast and slow shear, and Stoneley velocities or slownesses around the borehole, said variation in compressional, fast and slow shear, and Stoneley velocities or slownesses around the borehole being said predictions representing a predicted variation of velocities or slownesses.
10. The method of claim 9 , wherein said signal representing a measured variation of velocities or slownesses as a function of radius from and azimuth around a borehole is generated by a sonic scanner tool.
11. The method of claim 10 , wherein said set of parameters include unconfined compressive strength.
12. The method of claim 11 , wherein said set of parameters include friction angle.
13. The method of claim 12 , wherein said set of parameters include one or more geomechanical parameters.
14. A computer readable medium for storing a computer program adapted to be executed by a processor, said computer program, when executed by the processor, conducting a process for determining a rock strength of an Earth formation, said process comprising:
receiving a signal representing a measured variation of velocities or slownesses as a function of radius from and azimuth around a borehole;
in response to said signal, generating predictions from a Mechanical Earth Model (MEM) representing predictions of a variation of stress and hence velocity as a function of distance from, and azimuth around, the borehole, the MEM including a rock strength model adapted for generating a further prediction representing a predicted variation of velocities or slowness;
changing the rock strength in the rock strength model of the Mechanical Earth Model until the further prediction substantially matches said measured variation in velocity around and from the borehole; and
on the condition that the further prediction substantially matches the measured variation in velocity around and from the borehole, generating a set of parameters, wherein said parameters are used to populate the MEM and are used in subsequent calculations.
15. The computer readable medium of claim 14 , wherein said signal representing a measured variation of velocities or slownesses as a function of radius from and azimuth around a borehole is generated by a sonic scanner tool.
16. The computer readable medium of claim 14 , wherein said set of parameters include unconfined compressive strength.
17. The computer readable medium of claim 14 , wherein said set of parameters include friction angle.
18. The computer readable medium of claim 14 , wherein said set of parameters include one or more geomechanical parameters.
19. The computer readable medium of claim 14 , wherein the changing step, adapted for changing the rock strength in the rock strength model of the Mechanical Earth Model until the predictions substantially match said measured variation in velocity around and from the borehole, comprises:
determining a first estimate of unconfined compressive strength and friction angle and other geomechanical parameters using correlations between log measurements and geomechanical properties.
20. The computer readable medium of claim 19 , wherein the changing step further comprises:
determining a second estimate of a far field stress and pore pressure using a geomechanical workflow.
21. The computer readable medium of claim 20 , wherein the changing step further comprises:
providing the first estimate and the second estimate and a borehole geometry to a computational model that is capable of predicting rock yield and failure, and
calculating a stress distribution variation with radius and azimuth around the borehole.
22. The computer readable medium of claim 21 , wherein the changing step further comprises:
in response to said stress distribution, computing a variation in compressional, fast and slow shear, and Stoneley velocities or slownesses around the borehole, said variation in compressional, fast and slow shear, and Stoneley velocities or slownesses around the borehole being said predictions representing a predicted variation of velocities or slownesses.
23. The computer readable medium of claim 22 , wherein said signal representing a measured variation of velocities or slownesses as a function of radius from and azimuth around a borehole is generated by a sonic scanner tool.
24. The computer readable medium of claim 23 , wherein said set of parameters include unconfined compressive strength.
25. The computer readable medium of claim 24 , wherein said set of parameters include friction angle.
26. The computer readable medium of claim 25 , wherein said set of parameters include one or more geomechanical parameters.
27. A program storage device readable by a machine, tangibly embodying a set of instructions executable by the machine, to perform method steps for determining a rock strength of an Earth formation, said method steps comprising:
receiving a signal representing a measured variation of velocities or slownesses as a function of radius from and azimuth around a borehole;
in response to said signal, generating predictions from a Mechanical Earth Model (MEM) representing predictions of a variation of stress and hence velocity as a function of distance from, and azimuth around, the borehole, the MEM including a rock strength model adapted for generating a further prediction representing a predicted variation of velocities or slowness;
changing the rock strength in the rock strength model of the Mechanical Earth Model until the further prediction substantially matches said measured variation in velocity around and from the borehole; and
on the condition that the further prediction substantially matches the measured variation in velocity around and from the borehole, generating a set of parameters, wherein said parameters are used to populate the MEM and are used in subsequent calculations.
28. The program storage device of claim 27 , wherein said signal representing a measured variation of velocities or slownesses as a function of radius from and azimuth around a borehole is generated by a sonic scanner tool.
29. The program storage device of claim 27 , wherein said set of parameters include unconfined compressive strength.
30. The program storage device of claim 27 , wherein said set of parameters include friction angle.
31. The program storage device of claim 27 , wherein said set of parameters include one or more geomechanical parameters.
32. The program storage device of claim 27 , wherein the changing step, adapted for changing the rock strength in the rock strength model of the Mechanical Earth Model until the predictions substantially match said measured variation in velocity around and from the borehole, comprises:
determining a first estimate of unconfined compressive strength and friction angle and other geomechanical parameters using correlations between log measurements and geomechanical properties.
33. The program storage device of claim 32 , wherein the changing step further comprises:
determining a second estimate of a far field stress and pore pressure using a geomechanical workflow.
34. The program storage device of claim 33 , wherein the changing step further comprises:
providing the first estimate and the second estimate and a borehole geometry to a computational model that is capable of predicting rock yield and failure, and
calculating a stress distribution variation with radius and azimuth around the borehole.
35. The program storage device of claim 34 , wherein the changing step further comprises:
in response to said stress distribution, computing a variation in compressional, fast and slow shear, and Stoneley velocities or slownesses around the borehole, said variation in compressional, fast and slow shear, and Stoneley velocities or slownesses around the borehole being said predictions representing a predicted variation of velocities or slownesses.
36. The program storage device of claim 35 , wherein said signal representing a measured variation of velocities or slownesses as a function of radius from and azimuth around a borehole is generated by a sonic scanner tool.
37. The program storage device of claim 36 , wherein said set of parameters include unconfined compressive strength.
38. The program storage device of claim 37 , wherein said set of parameters include friction angle.
39. The program storage device of claim 38 , wherein said set of parameters include one or more geomechanical parameters.
40. A system adapted for determining a rock strength of an Earth formation, comprising:
apparatus adapted for receiving a signal representing a measured variation of velocities or slownesses as a function of radius from and azimuth around a borehole;
in response to said signal, apparatus adapted for generating predictions from a Mechanical Earth Model (MEM) representing predictions of a variation of stress and hence velocity as a function of distance from, and azimuth around, the borehole, the MEM including a rock strength model adapted for generating a further prediction representing a predicted variation of velocities or slowness;
apparatus adapted for changing the rock strength in the rock strength model of the Mechanical Earth Model until the further prediction substantially matches said measured variation in velocity around and from the borehole; and
on the condition that the further prediction substantially matches the measured variation in velocity around and from the borehole, apparatus adapted for generating a set of parameters, wherein said parameters are used to populate the MEM and are used in subsequent calculations.
41. The system of claim 40 , wherein the apparatus adapted for changing the rock strength in the rock strength model of the Mechanical Earth Model until the predictions substantially match said measured variation in velocity around and from the borehole, comprises:
apparatus adapted for determining a first estimate of unconfined compressive strength and friction angle and other geomechanical parameters using correlations between log measurements and geomechanical properties.
42. The system of claim 41 , wherein the apparatus adapted for changing the rock strength in the rock strength model of the Mechanical Earth Model until the predictions substantially match said measured variation in velocity around and from the borehole further comprises:
apparatus adapted for determining a second estimate of a far field stress and pore pressure using a geomechanical workflow.
43. The system of claim 42 , wherein the apparatus adapted for changing the rock strength in the rock strength model of the Mechanical Earth Model until the predictions substantially match said measured variation in velocity around and from the borehole further comprises:
apparatus adapted for providing the first estimate and the second estimate and a borehole geometry to a computational model that is capable of predicting rock yield and failure, and
apparatus adapted for calculating a stress distribution variation with radius and azimuth around the borehole.
44. The system of claim 43 , wherein the apparatus adapted for changing the rock strength in the rock strength model of the Mechanical Earth Model until the predictions substantially match said measured variation in velocity around and from the borehole further comprises:
in response to said stress distribution, apparatus adapted for computing a variation in compressional, fast and slow shear, and Stoneley velocities or slownesses around the borehole, said variation in compressional, fast and slow shear, and Stoneley velocities or slownesses around the borehole being said predictions representing a predicted variation of velocities or slownesses.
45. The system of claim 44 , wherein said signal representing a measured variation of velocities or slownesses as a function of radius from and azimuth around a borehole is generated by a sonic scanner tool.
46. The system of claim 45 , wherein said set of parameters include unconfined compressive strength.
47. The system of claim 46 , wherein said set of parameters include friction angle.
48. The system of claim 47 , wherein said set of parameters include one or more geomechanical parameters.