Acoustic logging systems and methods employing multi-mode inversion for anisotropy and shear slowness

Patent metadata

Field	Value
Publication number	US-9529105-B2
Application number	US-201214388197-A
Country	US
Kind code	B2
Filing date	Apr 2, 2012
Priority date	Apr 2, 2012
Publication date	Dec 27, 2016
Grant date	Dec 27, 2016

Abstract

Acoustic logging systems and methods are provided with multi-mode inversion for at least vertical shear slowness and shear anisotropy. At least some method embodiments acquire waveforms for multiple acoustic wave modes as a function of tool position in a borehole, derive position-dependent mode dispersion curves from the waveforms, match the derived dispersion curves with parameterized dispersion curves to determine a vertical shear slowness and a shear anisotropy as a function of position, and displaying a borehole log that represents at least one of the vertical shear slowness and the shear anisotropy as a function of position. The objective function employed for the inversion is evaluated across multiple wave propagation modes and mud slownesses and may employ an adaptive, frequency-dependent weighting based on distance between the derived dispersion curves and the parameterized dispersion curves.

First claim

What is claimed is:

1. An acoustic logging method that comprises:
acquiring waveforms for multiple acoustic wave modes as a function of tool position in a borehole;
deriving position-dependent mode dispersion curves from the waveforms;
matching each of the derived dispersion curves, including derived dispersion curves for at least two different-order wave modes, to one of a plurality of parameterized dispersion curves for each respective wave mode to determine a vertical shear slowness and a VTI (“vertical transverse isotropic”) shear wave anisotropy as a function of position; and
displaying a borehole log that represents at least one of the vertical shear wave slowness and the VTI shear wave anisotropy as a function of position.

2. The method of claim 1 , wherein the matching employs a frequency-dependent weighting of distance between at least one of the derived dispersion curves and respective parameterized dispersion curves.

3. The method of claim 2 , further comprising:
adjusting the frequency-dependent weighting based on localized variance of the derived dispersion curve from a dispersion curve approximation.

4. The method of claim 3 , wherein the dispersion curve approximation is an average of parameterized dispersion curves corresponding to vertices of a face corresponding to the determined vertical shear slowness and VTI shear wave anisotropy.

5. The method of claim 1 , further comprising:
estimating a reliability of the determined vertical shear wave slowness and VTI shear wave anisotropy; and
displaying the reliability as a function of position.

6. The method of claim 1 , wherein said matching is performed with an estimated mud slowness, and wherein the method further comprises:
repeating said matching with different estimated mud slownesses to optimize the estimated mud slowness.

7. The method of claim 1 , wherein the multiple acoustic wave modes include Stoneley and flexural wave modes.

8. The method of claim 1 , wherein the multiple acoustic wave modes include a quadrupole wave mode.

9. The method of claim 1 , wherein the parameterized dispersion curves depend on mud slowness, compressional wave slowness, vertical shear wave slowness, VTI shear wave anisotropy γ, borehole radius, formation density, and mud density.

10. An acoustic logging system that comprises:
an information storage medium having multiple acoustic mode waveforms acquired as a function of position in a borehole;
a memory having nonlinear inversion software; a display; and
at least one processor coupled to the memory to execute the nonlinear inversion software, wherein the software causes the processor to determine borehole logs of vertical shear wave slowness and a VTI shear wave anisotropy for presentation on the display by:
deriving position dependent mode dispersion curves from the waveforms; and
matching each of the derived dispersion curves, including derived dispersion curves for at least two different-order modes, to one of a plurality of parameterized dispersion curves for each respective wave mode, wherein each parameterized dispersion curve has at least vertical shear wave slowness and VTI shear wave anisotropy as parameters.

11. The system of claim 10 , wherein as part of performing said matching, the processor employs a frequency-dependent weighting of distance between at least one of the derived dispersion curves and respective parameterized dispersion curves.

12. The system of claim 11 , wherein the processor further adjusts the frequency-dependent weighting based on localized variance of the derived dispersion curve from a dispersion curve approximation.

13. The system of claim 12 , wherein the dispersion curve approximation is an average of parameterized dispersion curves corresponding to vertices of a face corresponding to the determined vertical shear wave slowness and VTI shear wave anisotropy.

14. The system of claim 10 , wherein the processor further estimates a reliability of the determined vertical shear wave slowness and VTI shear wave anisotropy, and displays the reliability as a function of position.

15. The system of claim 10 , wherein the processor performs said matching with an estimated mud slowness, and wherein the processor further repeats said matching with different estimated mud slownesses to optimize the estimated mud slowness.

16. The system of claim 10 , wherein the multiple acoustic wave modes include Stoneley and flexural wave modes.

17. The system of claim 10 , wherein the multiple acoustic wave modes include a quadrupole wave mode.

18. The system of claim 10 , wherein the parameterized dispersion curves depend on mud slowness, compressional wave slowness, vertical shear wave slowness, VTI shear wave anisotropy γ, borehole radius, formation density, and mud density.

Assignees

• Collins Mark Vincent
• Cheng Arthur
• Halliburton Energy Services Inc

Inventors

• Collins Mark Vincent
• Cheng Arthur

Classifications

• G01V1/40

  specially adapted for well-logging · CPC title

• G01V2210/74

  Visualisation of seismic data · CPC title

• G01V1/345 Primary

  Visualisation of seismic data or attributes, e.g. in 3D cubes · CPC title

• G01V1/50 Primary

  Analysing data · CPC title

• G01V2210/626

  with anisotropy · CPC title