Automated leg quality monitoring systems and methods

US10353111B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10353111-B2
Application numberUS-74026208-A
CountryUS
Kind codeB2
Filing dateAug 21, 2008
Priority dateAug 21, 2008
Publication dateJul 16, 2019
Grant dateJul 16, 2019

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  5. First independent claim

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Abstract

Official abstract text for this publication.

Disclosed systems and methods provide automated log quality monitoring, thereby enabling fast, on-site determination of log quality by logging engineers as well as re-assurance to interpreters faced with geologically-improbable features in the logs. Such uses can provide early detection of logging issues, increase confidence in acquired logs, reduce unnecessary duplication of effort, and improve the reputation of the logging company. In at least some embodiments, log monitoring software applies a comparison function to axially-spaced (and/or azimuthally-spaced) sensors. The comparison function can be, inter alia, cross-correlation, mutual information, mean-square error, and ratio image uniformity, each of which can be determined as a function of a sliding window position to indicate regions wherein the log quality falls below a threshold value. It is not necessary for the log sensors to be of the same type, e.g., resistivity image sensors.

First claim

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What is claimed is: 1. A log quality monitoring system that comprises: wellbore logging tool comprising: a first toroid disposed on a the wellbore logging tool; a second toroid disposed on the wellbore logging tool; a first set of two or more azimuthally-spaced stabilizer protrusions wherein a first set of measurement electrodes are disposed on the first set of two or more azimuthally-spaced stabilizer protrusions; and a second set of two or more azimuthally-spaced stabilizer protrusions wherein a second set of measurement electrodes are disposed on the second set of two or more azimuthally-spaced stabilizer protrusions and wherein the second set of azimuthally-spaced stabilizer protrusions are axially displaced from the first set of azimuthally-spaced stabilizer protrusions, wherein the first and second set of azimuthally-spaced stabilizer protrusions are disposed on an outer surface of the logging tool between the first toroid and the second toroid; at least one processor; and a memory coupled to the processor to provide log monitoring software that configures the processor to: apply a comparison function to measurements from spaced-apart sensors to determine an image log quality indicator for one or more image logs, the one or more image logs being images of a borehole wall that indicate bedding structures and/or fractures; and display at least one of the image logs wherein the image log quality indicator is a modification applied to regions of the image log where the log quality is determined to be below a threshold value, wherein the modification is a change in image color or a change in image intensity. 2. The system of claim 1 , wherein the applying the comparison function comprises applying a comparison function to a reference image log and one or more additional image logs. 3. The system of claim 1 , wherein the processor determines log quality as a function of a sliding window position, and formulates the image log quality indicator based on a comparison of the log quality to a threshold value. 4. The system of claim 1 , wherein the image log quality indicator is a graph of log quality as a function of tool position. 5. The system of claim 1 , wherein the spaced-part sensors measure borehole wall resistivity. 6. A log quality monitoring system that comprises: a wellbore logging tool comprising: a first toroid disposed on the wellbore logging tool; a second toroid disposed on the wellbore logging tool; a first set of two or more azimuthally-spaced stabilizer protrusions wherein a first set of measurement electrodes are disposed on the first set of two or more azimuthally-spaced stabilizer protrusions; and a second set of two or more azimuthally-spaced stabilizer protrusions wherein a second set of measurement electrodes are disposed on the second set of two or more azimuthally-spaced stabilizer protrusions and wherein the second set of azimuthally-spaced stabilizer protrusions are axially displaced from the first set of azimuthally-spaced stabilizer protrusions, wherein the first and second set of azimuthally-spaced stabilizer protrusions are disposed on an outer surface of the logging tool between the first toroid and the second toroid, and wherein the first toroid and second toroid are configured to pass a current through a wellbore wall adjacent to the logging tool to the first set of measurement electrodes to generate a first signal and pass the current through the wellbore wall adjacent to the logging tool to the second set of measurement electrodes to generate a second signal; at least one processor; and a memory coupled to the processor to provide log monitoring software that configures the processor to: generate a first well log based on the first signal and a second well log based on the second signal; select a first area of the first well log, the first area corresponding to a logged position in the wellbore; select a second area of the second well log, the second area corresponding to the logged position in the wellbore; apply a comparison function to the first area and the second area to generate an image log quality indicator, wherein the step of applying the comparison function comprises: selecting a threshold value; applying the comparison function to the first area and the second area wherein the comparison function is selected from the group consisting of cross-correlation, mutual information, mean-square error, and ratio image uniformity; and comparing a result from the comparison function to the threshold to generate a log quality indicator; and display the first well log or the second well log and the log quality indicator, wherein the log quality indicator is a modification applied to regions of first well log or the second well log where the first well log or the second well log are determined to be below the threshold value, wherein the modification is a change in image color, change in image intensity, or both. 7. The system of claim 6 , wherein the processor determines log quality as a function of a sliding window position, and formulates the image log quality indicator based on a comparison of the log quality to a threshold value. 8. The system of claim 6 , further comprising displaying an image log quality indicator wherein the image log quality indicator is a graph of log quality as a function of wellbore logging tool position. 9. The system of claim 6 wherein the well logging tool is part of a drill collar or a wireline tool string. 10. A log quality monitoring method that comprises: inserting into a wellbore a wellbore logging tool comprising: a first toroid disposed on a the wellbore logging tool; a second toroid disposed on the wellbore logging tool; a first set of two or more azimuthally-spaced stabilizer protrusions wherein a first set of measurement electrodes are disposed on the first set of two or more azimuthally-spaced stabilizer protrusions; and a second set of two or more azimuthally-spaced stabilizer protrusions wherein a second set of measurement electrodes are disposed on the second set of two or more azimuthally-spaced stabilizer protrusions and wherein the second set of azimuthally-spaced stabilizer protrusions are axially displaced from the first set of azimuthally-spaced stabilizer protrusions, wherein the first and second set of azimuthally-spaced stabilizer protrusions are disposed on an outer surface of the logging tool between the first toroid and the second toroid; passing a current from the first toroid, second toroid, or both, through a wellbore wall adjacent to the logging tool to the first set of measurement electrodes to generate a first signal and pass the current through the wellbore wall adjacent to the logging tool to the second set of measurement electrodes to generate a second signal; generating a first well log based on the first signal and a second well log based on the second signal; selecting a first area of the first well log, the first area corresponding to a logged position in the wellbore; selecting a second area of the second well log, the second area corresponding to the logged position in the wellbore; applying a comparison function to the first area and the second area generate an image log quality indicator at the logged position, wherein the step of applying a comparison function comprises: selecting a threshold value; applying the comparison function to the first area and the second area wherein the comparison function is selected from the group consisting of cross-correlation, mutual information, and mean-square error; and comparing a result from the comparison function to the threshold to generate the image log quality indicator; and displaying an image log to a user, the i

Assignees

Inventors

Classifications

  • G01V11/00Primary

    Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00 · CPC title

  • G01V3/18Primary

    specially adapted for well-logging · CPC title

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What does patent US10353111B2 cover?
Disclosed systems and methods provide automated log quality monitoring, thereby enabling fast, on-site determination of log quality by logging engineers as well as re-assurance to interpreters faced with geologically-improbable features in the logs. Such uses can provide early detection of logging issues, increase confidence in acquired logs, reduce unnecessary duplication of effort, and improv…
Who is the assignee on this patent?
Sanstrom William C, Chemali Roland E, Halliburton Energy Services Inc
What technology area does this patent fall under?
Primary CPC classification G01V11/00. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jul 16 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).