Correction of galvanic tool data to account for rugosity and cave effect

Patent metadata

Field	Value
Publication number	US-9971058-B2
Application number	US-201515125799-A
Country	US
Kind code	B2
Filing date	Dec 22, 2015
Priority date	Dec 22, 2015
Publication date	May 15, 2018
Grant date	May 15, 2018

Abstract

Apparatus, systems, and methods may operate to detect rugosity in a borehole. Additional activity may include generating a rugosity correction, responsive to detecting rugosity in the borehole, by finding an effective borehole diameter, consistent with the presence of rugosity, for which a simulation of a model of the borehole using the effective borehole diameter generates simulation resistivity measurements that match, within a tolerance, resistivity measurements before execution of a borehole correction algorithm. Additional activity may include applying rugosity correction by generating resistivity logs, using the effective borehole diameter, that are corrected for rugosity and borehole effect. Additional apparatus, systems, and methods are disclosed.

First claim

What is claimed is:

1. A method, comprising:
detecting rugosity in a borehole;
finding an effective borehole diameter, consistent with the presence of rugosity, for which a simulation of a model of the borehole using the effective borehole diameter generates simulation resistivity measurements that match, within a tolerance, resistivity measurements before execution of a borehole correction algorithm; and
applying rugosity correction by generating resistivity logs that are corrected for borehole effect using the effective borehole diameter.

2. The method of claim 1 , wherein detecting rugosity in the borehole comprises:
identifying sections of an inverted log in which a radius of invasion into a formation is below a threshold radius and in which invasion resistivity is within a range of borehole mud resistivity.

3. The method of claim 2 , further comprising:
determining a lower limit of invasion resistivity for use in detecting rugosity based on rock properties of the formation and on deep mode resistivity; and
detecting rugosity when measured resistivity at an invasion zone is less than the lower limit of invasion resistivity.

4. The method of claim 2 , wherein the threshold radius is about six inches.

5. The method of claim 2 , further comprising:
measuring a borehole diameter with a caliper having a caliper pad length, and wherein rugosity is defined with reference to the caliper pad length such that rugosity is smaller than the caliper pad length.

6. The method of claim 5 , wherein the rugosity is further defined with reference to the caliper pad length such that the rugosity is larger than a percentage of the caliper pad length, and wherein the percentage is specified to vary based on a diameter of the borehole.

7. The method of claim 2 , further comprising:
inspecting resistivity curves generated using the effective borehole diameter, and determining that rugosity correction accounts for rugosity in the borehole when resistivity curves for each measurement depth match within a range of each other.

8. The method of claim 7 , further comprising:
determining that rugosity correction has been attained when the resistivity curves for each measurement depth are within 1% of each other.

9. The method of claim 1 , further comprising:
controlling a drilling operation based on the resistivity logs that have been corrected for rugosity and borehole effect.

10. A logging system comprising:
a measurement tool configured to provide measurements of a formation parameter; and
a processing unit coupled to the measurement tool and configured to:
detect rugosity in a borehole by detecting sections of the borehole in which a radius of invasion into the borehole is below a threshold radius and in which in invasion resistivity is within a range of borehole mud resistivity;
find an effective borehole diameter, consistent with the presence of rugosity, for which a simulation of a model of the borehole using the effective borehole diameter generates simulation resistivity measurements that match, within a tolerance, resistivity measurements before execution of a borehole correction algorithm; and
apply rugosity correction by generating resistivity logs that are corrected for borehole effect using the effective borehole diameter.

11. The logging system of claim 10 , wherein the measurement tool is galvanic, and wherein the logging system further includes a caliper system including a caliper pad having a caliper length.

12. The logging system of claim 11 , wherein the measurement tool includes a laterolog.

13. The logging system of claim 10 , further comprising a user display configured to display data representative of the rugosity.

14. A machine-readable storage device including instructions that, when executed on a processor, cause the processor to perform operations including:
detecting rugosity in a borehole by detecting sections of the borehole in which a radius of invasion into the borehole is below a threshold radius and in which invasion resistivity is within a range of borehole mud resistivity;
finding an effective borehole diameter, responsive to detecting rugosity in the borehole, for which a simulation of a model of the borehole using the effective borehole diameter generates simulation resistivity measurements that match, within a tolerance, resistivity measurements before execution of a borehole correction algorithm; and
applying rugosity correction by generating resistivity logs that are corrected for borehole effect using the effective borehole diameter.

15. The machine-readable storage device of claim 14 , including further instructions that, when executed on the processor, cause the processor to perform operations including:
accessing rock property data to predict porosity at a suspected area of rugosity;
determining a lower limit of invasion resistivity based on porosity at the suspected area of rugosity; and
determining whether the suspected area of rugosity includes an actual rugosity feature when measured resistivity at the suspected area of rugosity is less than or equal to an expected invasion resistivity.

16. The machine-readable storage device of claim 15 , including further instructions that, when executed on the processor, cause the processor to perform operations including:
receiving deep mode resistivity data from a deep mode component of an array laterolog tool, and wherein the lower limit of invasion resistivity is further based on the deep mode resistivity data.

17. The machine-readable storage device of claim 16 , having further instructions stored thereon, which, when performed by the processor, cause the processor to perform operations comprising:
receiving an apparent borehole diameter from a caliper having a caliper pad length;
storing an estimated rugosity value, responsive to detecting rugosity, that is less than the caliper pad length; and
estimating a revised borehole diameter based at least in part on the estimated rugosity value and the deep mode resistivity data.

18. The machine-readable storage device of claim 17 , wherein the estimated rugosity value is greater than a percentage of the caliper pad length, wherein the percentage of the caliper pad length is proportional to the apparent borehole diameter.

19. The machine-readable storage device of claim 15 , having further instructions stored thereon, which, when performed by the processor, cause the processor to perform operations comprising:
inspecting resistivity curves generated using the effective borehole diameter, and determining that rugosity correction accounts for rugosity in the borehole when resistivity curves for each measurement depth match within a range of each other.

20. The machine-readable storage device of claim 19 , having further instructions stored thereon, which, when performed by the processor, cause the processor to perform operations comprising:
determining that rugosity correction has been attained when data points of resistivity curves for each measurement depth are within a selected range of each other.

Assignees

• Halliburton Energy Services Inc

Inventors

• San Martin Luis Emilio
• Fouda Ahmed E
• Torres David

Classifications

• G01V9/00

  Prospecting or detecting by methods not provided for in groups G01V1/00 - G01V8/00 · CPC title

• E21B44/00

  Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions · CPC title

• E21B47/18

  through the well fluid {, e.g. mud pressure pulse telemetry} · CPC title

• G01V3/38 Primary

  Processing data, e.g. for analysis, for interpretation, for correction · CPC title

• G01V3/18

  specially adapted for well-logging · CPC title