Generating dynamic multi-distribution inversion models to facilitate wellbore operations
Abstract
A system can provide a dynamic multi-distribution model to facilitate a wellbore operation. For example, the system can receive, from a downhole tool deployed in a wellbore during a drilling operation, resistivity data for a geological formation associated with an interval of the wellbore. The system can further execute a resistivity inversion algorithm to generate distribution outputs of a resistivity inversion model using the resistivity data. Additionally, the system can select a section of each of the distribution outputs. Each section of each distribution output can correspond with a different segment of the interval of the wellbore. The system can then generate a dynamic multi-distribution model. The dynamic multi-distribution model can include the sections selected from each of the distribution outputs. The system can further output, by a user interface, the dynamic distribution output, which can be used to adjust the drilling operation.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A system comprising:
a processing device; and a non-transitory computer-readable medium that includes instructions executable by the processing device for causing the processing device to perform operations comprising:
receiving, from a downhole tool deployed in a wellbore during a drilling operation, resistivity data for a geological formation associated with an interval of the wellbore;
executing a resistivity inversion algorithm to generate a plurality of distribution outputs of a resistivity inversion model using the resistivity data, wherein each distribution output of the plurality of distribution outputs comprises a unique visual representation of the geological formation associated with the interval of the wellbore;
selecting a section of each distribution output of the plurality of distribution outputs, wherein each section of each distribution output of the plurality of distribution outputs corresponds with a different segment of the interval of the wellbore;
generating a dynamic multi-distribution model comprising the sections selected from each distribution output of the plurality of distribution outputs; and
outputting, via a user interface, the dynamic multi-distribution model that is usable to adjust the drilling operation.
2 . The system of claim 1 , wherein the dynamic multi-distribution model comprises a first visual indicator representative of a well path of the interval of the wellbore, and wherein the dynamic multi-distribution model comprises the unique visual representation of the geological formation associated with the wellbore from each section of each distribution output of the plurality of distribution outputs.
3 . The system of claim 1 , wherein each distribution output of the plurality of distribution outputs is characterized by a number of distribution curves, wherein the dynamic multi-distribution model comprises a plurality of segments, and wherein the operation of outputting, via the user interface, the dynamic multi-distribution model further comprises:
outputting an indication of the distribution output of the plurality of distribution outputs that corresponds to each segment of the plurality of segments of the dynamic multi-distribution model; and outputting the number of distribution curves for each distribution output of the plurality of distribution outputs from which the sections were selected for the dynamic multi-distribution model.
4 . The system of claim 1 , wherein the operations further comprise:
performing, for each distribution output of the plurality of distribution outputs, a plurality of Quality Control (QC) operations.
5 . The system of claim 4 , wherein the operation of selecting the section of each distribution output of the plurality of distribution outputs is based at least in part on the plurality of QC operations.
6 . The system of claim 1 , wherein the resistivity data is first resistivity data, wherein the plurality of distribution outputs is a first plurality of distribution outputs, and wherein the operations further comprise:
receiving, from the downhole tool deployed in the wellbore, second resistivity data for the geological formation associated with the interval of the wellbore; executing the resistivity inversion algorithm to generate a second plurality of distribution outputs for the resistivity inversion model using the first resistivity data and the second resistivity data; updating at least one section of the dynamic multi-distribution model based on at least one distribution output of the second plurality of distribution outputs; and outputting, via the user interface, the updated dynamic multi-distribution model.
7 . The system of claim 1 , wherein the operations further comprise adjusting the drilling operation by adjusting a well path of the wellbore or by adjusting one or more drilling parameters associated with the drilling operation.
8 . A computer-implemented method comprising:
receiving, from a downhole tool deployed in a wellbore during a drilling operation, resistivity data for a geological formation associated with an interval of the wellbore; executing a resistivity inversion algorithm to generate a plurality of distribution outputs of a resistivity inversion model using the resistivity data, wherein each distribution output of the plurality of distribution outputs comprises a unique visual representation of the geological formation associated with the interval of the wellbore; selecting a section of each distribution output of the plurality of distribution outputs, wherein each section of each distribution output of the plurality of distribution outputs corresponds with a different segment of the interval of the wellbore; generating a dynamic multi-distribution model comprising the sections selected from each distribution output of the plurality of distribution outputs; and outputting, via a user interface, the dynamic multi-distribution model that is usable to adjust the drilling operation.
9 . The computer-implemented method of claim 8 , wherein the dynamic multi-distribution model comprises a first visual indicator representative of a well path of the interval of the wellbore, and wherein the dynamic multi-distribution model comprises the unique visual representation of the geological formation associated with the wellbore from each section of each distribution output of the plurality of distribution outputs.
10 . The computer-implemented method of claim 8 , wherein each distribution output of the plurality of distribution outputs is characterized by a number of distribution curves, wherein the dynamic multi-distribution model comprises a plurality of segments, and wherein outputting, via the user interface, the dynamic multi-distribution model further comprises:
outputting an indication of the distribution output of the plurality of distribution outputs that corresponds to each segment of the plurality of segments of the dynamic multi-distribution model; and outputting the number of distribution curves for each distribution output of the plurality of distribution outputs from which the sections were selected for the dynamic multi-distribution model.
11 . The computer-implemented method of claim 8 , wherein the method further comprises:
performing, for each distribution output of the plurality of distribution outputs, a plurality of QC operations.
12 . The computer-implemented method of claim 11 , wherein selecting the section of each distribution output of the plurality of distribution outputs is based at least in part on the plurality of QC operations.
13 . The computer-implemented method of claim 8 , wherein the resistivity data is first resistivity data, wherein the plurality of distribution outputs is a first plurality of distribution outputs, and wherein the method further comprises:
receiving, from the downhole tool deployed in the wellbore, second resistivity data for the geological formation associated with the interval of the wellbore; executing the resistivity inversion algorithm to generate a second plurality of distribution outputs for the resistivity inversion model using the first resistivity data and the second resistivity data; updating at least one section of the dynamic multi-distribution model based on at least one distribution output of the second plurality of distribution outputs; and outputting, via the user interface, the updated dynamic multi-distribution model.
14 . The computer-implemented method of claim 8 , wherein the method further comprises adjusting the drilling operation by adjusting a well path of the wellbore or by adjusting one or more drilling parameters associated with the drilling operation.
15 . A non-transitory computer-readable medium comprising instructions that are executable by a processing device for causing the processing device to perform operations comprising:
receiving, from a downhole tool deployed in a wellbore during a drilling operation, resistivity data for a geological formation associated with an interval of the wellbore; executing a resistivity inversion algorithm to generate a plurality of distribution outputs of a resistivity inversion model using the resistivity data, wherein each distribution output of the plurality of distribution outputs comprises a unique visual representation of the geological formation associated with the interval of the wellbore; selecting a section of each distribution output of the plurality of distribution outputs, wherein each section of each distribution output of the plurality of distribution outputs corresponds with a different segment of the interval of the wellbore; generating a dynamic multi-distribution model comprising the sections selected from each distribution output of the plurality of distribution outputs; and outputting, via a user interface, the dynamic multi-distribution model that is usable to adjust the drilling operation.
16 . The non-transitory computer-readable medium of claim 15 , wherein the dynamic multi-distribution model comprises a first visual indicator representative of a well path of the interval of the wellbore, and wherein the dynamic multi-distribution model comprises the unique visual representation of the geological formation associated with the wellbore from each section of each distribution output of the plurality of distribution outputs.
17 . The non-transitory computer-readable medium of claim 15 , wherein each distribution output of the plurality of distribution outputs is characterized by a number of distribution curves, wherein the dynamic multi-distribution model comprises a plurality of segments, and wherein the operation of outputting, via the user interface, the dynamic multi-distribution model further comprises:
outputting an indication of the distribution output of the plurality of distribution outputs that corresponds to each segment of the plurality of segments of the dynamic multi-distribution model; and outputting the number of distribution curves for each distribution output of the plurality of distribution outputs from which the sections were selected for the dynamic multi-distribution model.
18 . The non-transitory computer-readable medium of claim 15 , wherein the operations further comprise:
performing, for each distribution output of the plurality of distribution outputs, a plurality of QC operations.
19 . The non-transitory computer-readable medium of claim 18 , wherein the operation of selecting the section of each distribution output of the plurality of distribution outputs is based at least in part on the plurality of QC operations.
20 . The non-transitory computer-readable medium of claim 15 , wherein the resistivity data is first resistivity data, wherein the plurality of distribution outputs is a first plurality of distribution outputs, and wherein the operations further comprise:
receiving, from the downhole tool deployed in the wellbore, second resistivity data for the geological formation associated with the interval of the wellbore; executing the resistivity inversion algorithm to generate a second plurality of distribution outputs for the resistivity inversion model using the first resistivity data and the second resistivity data; updating at least one section of the dynamic multi-distribution model based on at least one distribution output of the second plurality of distribution outputs; and outputting, via the user interface, the updated dynamic multi-distribution model.Join the waitlist — get patent alerts
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