Granted Patent B1

US 12,631,782 · App. 19/039,466 · Granted May 19, 2026

Inventors: Nigel Mark Clegg (Great Yarmouth, GB); Jin Ma (Houston, TX); Hsu Hsiang Wu (Houston, TX); Alban Gerard Duriez (Houston, TX)

Assignee: Halliburton Energy Services, Inc.

G01V3/28E21B7/04E21B44/00

Abstract

Claims (47)

1 . A non-transitory machine-readable medium having data stored therein representing a software executable by a computer, the software executable comprising instructions configured to:

receive a first data set of one or more electromagnetic measurements at a first location in a borehole from a logging tool;

receive a second data set of one or more electromagnetic measurements at a second location in the borehole from the logging tool;

perform a first inversion on the first data set of one or more electromagnetic measurements to form a first inverted data set;

perform a second inversion on the second data set of one or more electromagnetic measurements to form a second inverted data set;

compare the first inverted data set to the second inverted data set to identify a gradient change between each of the one or more electromagnetic measurements in the first inverted data set and the second inverted data set;

receive a third data set of one or more electromagnetic measurements at a third location in the borehole from the logging tool;

perform a third inversion on the third data set of one or more electromagnetic measurements to form a third inverted data set;

compare the third inverted data set to the second inverted data set to identify a second gradient change;

compare the second gradient change to the gradient change to identify a difference between the gradient change and the second gradient change, wherein the difference is uncertainty; and

alter course of the logging tool based at least in part on the gradient change.

2 . The non-transitory machine-readable medium of claim 1 , further configured to establish a background electromagnetic field from the first data set of one or more electromagnetic measurements.

3 . The non-transitory machine-readable medium of claim 1 , further configured to establish noise in the first data set of one or more electromagnetic measurements.

4 . The non-transitory machine-readable medium of claim 1 , further configured to predict a geology of a formation from the gradient change.

5 . The non-transitory machine-readable medium of claim 1 , wherein the first inversion and the second inversion is for a one dimensional, two dimensional, two and half dimensional, or a third dimensional inversion.

6 . The non-transitory machine-readable medium of claim 1 , further configured to predict a geology of a formation based at least in part on the second gradient change and the uncertainty.

7 . A non-transitory machine-readable medium having data stored therein representing a software executable by a computer, the software executable comprising instructions configured to:

receive a first data set of one or more electromagnetic measurements at a first location in a borehole of a formation from a logging tool;

receive a second data set of one or more electromagnetic measurements at a second location in the borehole of the formation from the logging tool;

perform a first inversion on the first data set of one or more electromagnetic measurements to form a first inverted data set;

perform a second inversion on the second data set of one or more electromagnetic measurements to form a second inverted data set;

compare the first inverted data set to the second inverted data set to identify a gradient change between each of the one or more electromagnetic measurements in the first inverted data set and the second inverted data set;

form a predictive data set of one or more electromagnetic predictive responses for a third location in the formation based at least in part on the gradient change;

perform a third inversion on the predictive data set of the one or more electromagnetic predictive responses to form a predictive response inverted data set;

compare the predictive response inverted data set to the first inverted data or the second inverted data, or both to identify one or more distinctions or one or more similarities;

estimate a confident level of the first inverted data or the second inverted data based on the one or more distinctions or the one or more similarities to the predictive response inverted data set; and

alter course of the logging tool based at least in part on the predictive response inverted data set.

8 . The non-transitory machine-readable medium of claim 7 , further configured to move the logging tool to the third location.

9 . The non-transitory machine-readable medium of claim 8 , further configured to receive a third data set of one or more electromagnetic measurements at the third location.

10 . The non-transitory machine-readable medium of claim 9 , further configured to compare the third data set to the predictive data set to identify if a difference exists between the one or more electromagnetic measurements and the one or more electromagnetic predictive responses.

11 . A non-transitory machine-readable medium having data stored therein representing a software executable by a computer, the software executable comprising instructions configured to:

receive a first data set of one or more electromagnetic measurements at a first location in a borehole in a formation from a logging tool;

receive a second data set of one or more electromagnetic measurements at a second location in the borehole in the formation from the logging tool;

perform a first inversion on the first data set of one or more electromagnetic measurements to form a first inverted data set;

perform a second inversion on the second data set of one or more electromagnetic measurements to form a second inverted data set;

compare the first inverted data set to the second inverted data set to identify a gradient change between each of the one or more electromagnetic measurements in the first inverted data set and the second inverted data set;

extrapolate from the gradient change to form one or more predictive responses for a third location in the formation based on the gradient change from the first data set and the second data set;

extrapolate for one or more predictive responses at the third location using an extrapolation function on the gradient change for each of the one or more electromagnetic measurements;

perform a third inversion on the one or more predictive responses for each of the one or more electromagnetic measurements to form a predictive response inverted data set;

compare the predictive response inverted data set to the first data set of one or more electromagnetic measurements and the second data set of the one or more electromagnetic measurements to identify one or more distinctions or one or more similarities;

estimate a confident level of the first data set of one or more electromagnetic measurements and the second data set of one or more electromagnetic measurements based on the one or more distinctions or the one or more similarities to the predictive response inverted data set; and

alter course of the logging tool based at least in part on the one or more predictive responses.

12 . The non-transitory machine-readable medium of claim 11 , further configured to move the logging tool to the third location.

13 . The non-transitory machine-readable medium of claim 12 , further configured to receive a third data set of one or more electromagnetic measurements at the third location.

14 . The non-transitory machine-readable medium of claim 13 , further configured to compare the one or more electromagnetic measurements to the one or more predictive responses to identify if a difference exists between the one or more electromagnetic measurements and the one or more predictive responses.

15 . The non-transitory machine-readable medium of claim 14 , further configured to update the extrapolation function based at least in part on the difference.

16 . The non-transitory machine-readable medium of claim 11 , further configured to establish a background electromagnetic field from the first data set of one or more electromagnetic measurements.

Assignments (1)

References Cited (50)