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1. WO2020109890 - SYSTEM AND METHOD FOR AUTOMATED POST-GEOSTEERING

Note: Text based on automatic Optical Character Recognition processes. Please use the PDF version for legal matters

[ EN ]

What is claimed is:

1. A computer-implemented method of automated post-geosteering, comprising:

a. receiving, at a computer processor, a pilot well log and a lateral well log with an initial lateral well path;

b. performing, via the computer processor, automated post-geosteering using the pilot well log, lateral well log, and initial lateral well path as input to generate a corrected lateral well path image; and

c. displaying, on a graphical display, the corrected lateral well path image.

2. The method of claim 1 wherein the automated post-geosteering comprises:

a. computing a cost matrix between log values of each sample n on the pilot well log versus each sample ns on the lateral well log using a standard deviation of the pilot well log sp and a standard deviation of lateral well log slat; and

b. adjusting the initial well path based on the cost matrix and parameters controlling smoothness and adherence to the initial lateral well path to generate the corrected lateral well path image.

3. The method of claim 1 further comprising interpreting the corrected lateral well path image to identify actions to change a drilling path or report a final post-geosteering path.

4. The method of claim 3 wherein the actions include one or more of a recycle warning, a shift change rationalization, an alternative geosteer solution from an interpretation at an earlier time, and fine-tuning of model-path relative dip changes.

5. A computer system, comprising:

one or more processors;

memory;

a graphical display; and

one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions that when executed by the one or more processors cause the device to:

a. receive, at a computer processor, a pilot well log and a lateral well log with an initial lateral well path;

b. perform, via the computer processor, automated post-geosteering using the pilot well log, lateral well log, and initial lateral well path as input to generate a corrected lateral well path image; and

c. display, on the graphical display, the corrected lateral well path image.

6. The computer system of claim 5 wherein the automated post-geosteering comprises:

a. computing a cost matrix between log values of each sample n on the pilot well log versus each sample ns on the lateral well log using a standard deviation of the pilot well log sp and a standard deviation of lateral well log slat; and

b. adjusting the initial well path based on the cost matrix and parameters controlling smoothness and adherence to the initial lateral well path to generate the corrected lateral well path image.

7. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by an electronic device with one or more processors, memory, and a graphical display, cause the device to

a. receive, at a computer processor, a pilot well log and a lateral well log with an initial lateral well path;

b. perfonn, via the computer processor, automated post-geosteering using the pilot well log, lateral well log, and initial lateral well path as input to generate a corrected lateral well path image;

c. display, on the graphical display, the corrected lateral well path image.

8. The non-transitory computer readable storage medium of claim 7 wherein the automated post-geosteering comprises:

a. computing a cost matrix between log values of each sample n on the pilot well log versus each sample ns on the lateral well log using a standard deviation of the pilot well log sp and a standard deviation of lateral well log slat; and

b. adjusting the initial well path based on the cost matrix and parameters

controlling smoothness and adherence to the initial lateral well path to generate the corrected lateral well path image.