Methods for determining formation and borehole parameters using fresnel volume tomography

• US 7,027,927 B2
• Filed: 12/23/2002
• Issued: 04/11/2006
• Est. Priority Date: 12/23/2002
• Status: Expired due to Fees

• Current Assignee: Schlumberger Technology Corporation (SLB)
• Original Assignee: Schlumberger Technology Corporation (SLB)
• Inventors: Endo, Takeshi, Matsuoka, Toshifumi, Lee, Jongha, Banchet, Nicholas, Cao, Di
• Primary Examiner(s): MCELHENY JR, DONALD E
• Application Number:
  US10/328,309
• Publication Number:
  US 20040122594A1
• Time in Patent Office: 1,205 Days
• Field of Search: 702/6, 702/11, 702/14, 702/17
• US Class Current: 702/11
• CPC Class Codes: G01V 1/48 Processing data

Abstract

A method and apparatus for determining formation slowness around a borehole are provided. The Fresnel volume concept is applied for traveltime tomography. The Fresnel volume represents a sonic wave propagation path about the borehole. The application of Fresnel volume to sonic data provides for a stable inversion and makes practical 3-D tomography. Inversion is accomplished by an iterative back-projection method.

Claims

1. A method of determining formation slowness of segments traversed by a borehole comprising:

generating acoustic waves with a sonic tool having a source and at least one receiver; and

calculating a Fresnel volume wave path for the acoustic waves, wherein an initial model is assigned for the Fresnel volume wave path, the initial model being is non-homogeneous at least in the direction of the axis of the borehole.

2. The method of claim 1, wherein the initial model assigned to the Fresnel volume wave path is an initial layered model.

3. The method of claim 2, wherein said initial layered model is generated by slowness analysis and using caliper log data.

4. The method of claim 2, further comprising assigning corresponding coordinates of the initial layered model to sonic travel time data.

5. The method of claim 4, further comprising dividing the coordinates into interpretation blocks.

6. The method of claim 1, further comprising performing a forward computation of travel times to evaluate the Fresnel volume.

7. The method of claim 6, further comprising solving an eikonal equation by a finite difference approximation.

8. The method of claim 7, further comprising adopting a rectangular element for the forward computation of travel times.

9. The method of claim 7, further comprising adopting an eikonal solver for calculating travel times for 2-D tomography.

10. The method of claim 9, wherein the eikonal solver is performed by a fast-marching method or a liner travel time interpolation method.

11. The method of claim 7, further comprising solving an eikonal equation by a fast-marching method in cylindrical coordinates for 3-D tomography.

12. The method of claim 7, further comprising:

calculating travel times for a whole space;

adding travel times from the source and receiver positions to a considering point;

subtracting a smallest travel time from the source to the receiver, and

finding a zone where the addition of the travel times from the source and receiver positions to the considering point minus the smallest travel time from the source to the receiver is less than or equal to one-half of a wave period.

13. The method of claim 1, further comprising reconstructing the formation slowness by an optimization method.

14. The method of claim 13, wherein said optimization method comprises back-projection.

15. The method of claim 13, wherein Fresnel zone wave path is expressed by weight values on coordinates.

16. The method of claim 13, wherein the reconstructing comprises a simultaneous iterative reconstruction technique algorithm.

17. The method of claim 13, further comprising updating reconstructed tomograms of formation slowness.

18. The method of claim 17, further comprising dividing the reconstructed tomograms into a plurality of blocks.

19. The method of claim 18, further comprising adopting a cylindrical eikonal solver for reconstructing the tomogram in 3-D.

20. The method of claim 19, further comprising identifying source and receiver positions with tool orientation algorithms and combining the positions with the reconstructed tomograms.

21. A method of determining formation slowness of segments traversed by a borehole from data of a sonic tool having a sonic source and a plurality of receivers comprising:

a) assigning an initial slowness model for the formation and the bore hole the initial model being non-homogeneous at least in the direction of the axis of the borehole;

b) calculating Fresnel volume(s) representing wave propagation path(s);

c) calculating theoretical first arrival time(s) based an the Fresnel volume wave propagation path for each receiver;

d) calculating a function of a measured first arrival time and the theoretical first arrival time for each receiver, the measured first arrival time for each receiver being determined from data of the sonic tool;

e) back projecting the function along the Fresnel volume wave path of first arrival, thereby providing modifications to the initial slowness model for a plurality of formation segments; and

f) modifying the initial slowness model as a function of the provided modifications.

22. The method of claim 21, further comprising repeating steps b) through f) one or more times, wherein the slowness model used to calculate Fresnel volume(s) in step b) and in computing theoretical first arrival time(s) in step c) are modified slowness models based on results from step f) rather than initial slowness values;

and wherein the theoretical first arrival time(s) of step c) and the function of step d) are modified accordingly.

23. The method of claim 21, wherein the data of the sonic tool is collected at a plurality of tool positions in the borehole.

24. The method of claim 21, wherein the initial slowness model is based on semblance analysis and caliper log data.

25. The method of claim 21, wherein the calculating of the Fresnel volume(s) further comprises a forward computation of travel times.

26. The method of claim 25, further comprising adopting a rectangular element for the forward computation of travel times.

27. The method of claim 26, further comprising adopting an eikonal solver for calculating travel times.

28. The method of claim 27, wherein the eikonal solver is performed by a fast-marching method or a liner travel time interpolation method.

29. The method of claim 25, further comprising

calculating travel times for a whole space;

adding travel times from the source and receiver positions to a considering point;

subtracting a smallest travel time from the source to the receiver; and

finding a zone where the addition of the travel times from the source and receiver positions to the considering point minus the smallest travel time from the source to the receiver is less than or equal to one-half of a wave period.

30. A method of determining formation slowness about a borehole comprising applying Fresnel zone tomography to sonic data.

31. The method of claim 30, further comprising generating acoustic waves with a sonic source to produce the sonic data;

and

calculating a Fresnel volume wave path for the acoustic waves.

32. The method of claim 31, further comprising assigning an initial layered model for the Fresnel volume wave path.

33. The method of claim 32, further comprising assigning corresponding coordinates of the initial layered model to the sonic data.

34. The method of claim 33, further comprising dividing the coordinates into interpretation blocks.

35. The method of claim 34, further comprising performing a forward computation of sonic wave travel times to evaluate the Fresnel volume wave path.

36. The method of claim 35, further comprising adopting a rectangular element for the forward computation of travel times.

37. The method of claim 36, further comprising adopting a liner travel time interpolation method for calculating travel times.

38. The method of claim 34, further comprising

calculating travel times for a whole space;

adding travel times from the source and receiver positions to a considering point;

subtracting a smallest travel time from the source to the receiver; and

finding a zone where the addition of the travel times from the source and receiver positions to the considering point minus the smallest travel time from the source to the receiver is less than or equal to one-half of a wave period.

39. The method of claim 35, further comprising reconstructing the formation slowness by back-projection.

40. The method of claim 39, wherein Fresnel zone wave path is expressed by weight values on the coordinates.

41. The method of claim 39, further comprising assembling reconstructed tomograms of formation slowness.

42. A formation slowness determination apparatus comprising:

a sonic source;

a sonic receiver;

a processor coupled to said sonic source and sonic receiver and programmed to calculate and update a Fresnel zone for sonic waves generated by the sonic source and received by the sonic receiver in a borehole, wherein an initial model is assigned for a Fresnel volume wave path, the initial model being non-homogeneous at least in the direction of the axis of the borehole.