IP Library Granted Patent US 12,657,529
Granted Patent B2
US 12,657,529 · App. 18/734,079 · Granted Jun 16, 2026

Updating sustainability action plans for an enterprise based on detected change in input data

Inventors: Shashi Menon (Houston, TX); Hemant Arora (Houston, TX); David Seabrook (London, GB); Gian-Marcio Gey (London, GB); Hans Eric Klumpen (Houston, TX); Debasish Das (Houston, TX); Federico Sporleder (Pune, IN); Jing Zhang (Houston, TX); Rajarshi Ray (London, GB); Nader Salman (Houston, TX); Stephanie Lee (Houston, TX); Colin Wier (Houston, TX); Neeraj Kamat (Pune, IN); Harshada Modak (Pune, IN)
Assignee: SCHLUMBERGER TECHNOLOGY CORPORATION
G06Q10/063G06Q10/06315G06Q10/0633G06Q10/0637G06Q10/0639G06Q10/067G06Q50/02
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Quick Facts
Patent No.
US 12,657,529
App. No.
18/734,079
Granted
Jun 16, 2026
Kind
B2
Abstract

A method includes receiving datasets comprising image data, marketplace data, third-party data, internet-of-things (IoT) data, corporate data, or any combination thereof associated with enterprise operations corresponding to production data for operational tasks performed in a hydrocarbon production system, facility data for utility operations within buildings associated with the enterprise, or both. The method involves detecting a change in sustainability parameter data associated with the enterprise operations based on the datasets and a sustainability model representative of current sustainability parameters associated with the enterprise operations, updating the sustainability model based on the datasets, and sending the updated sustainability model to engineering workflow systems to determine action plans associated with improving the sustainability parameters or the additional sustainability parameters. The method may then involve sending commands to devices associated with the hydrocarbon production system, the buildings, or both based on the action plans to cause the devices to adjust their respective operations.

Claims (91)

1 . A method, comprising:

receiving, via a computing system, one or more datasets comprising image data, marketplace data, third-party data, internet-of-things (IOT) data, corporate data, or any combination thereof associated with enterprise operations, wherein the enterprise operations correspond to production data comprising information related to one or more sustainability parameters corresponding to one or more operational tasks performed in a hydrocarbon production system and facility data comprising additional information related to one or more additional sustainability parameters corresponding to one or more utility operations within one or more buildings associated with the enterprise;

detecting, via the computing system, a change in sustainability parameter data associated with the enterprise operations based on the datasets and a sustainability model representative of one or more current sustainability parameters associated with the enterprise operations;

updating, via the computing system, the sustainability model based on the datasets;

identifying, via the computing system, one or more engineering workflow systems of a plurality of engineering workflow systems in response to the change in sustainability parameter data being greater than a threshold, wherein each of the plurality of engineering workflow systems corresponds to a separate computing device relative to the computing system, and wherein the one or more engineering workflow systems are identified by:

broadcasting a request indicative of the sustainability parameter data to the plurality of engineering workflow systems;

querying a database comprising a list of abatement technologies associated with each of the plurality of engineering workflow systems, wherein each abatement technology of the list corresponds to performing an operation to modify at least one of one or more current values associated with the one or more sustainability parameters, the one or more additional sustainability parameters, or both, and wherein a plurality of abatement technologies are identified based on:

a first indicator of which of a plurality of sustainability parameters are associated with the plurality of abatement technologies;

a second indicator of an extent of an effectiveness of the plurality of abatement technologies on the plurality of sustainability parameters;

a third indicator of a geographical applicability of the plurality of abatement technologies:

a fourth indicator of a lifetime of the plurality of abatement technologies;

a fifth indicator of a time to implement the plurality of abatement technologies; or

any combination thereof; and

presenting the plurality of abatement technologies compatible with the sustainability model;

receiving one or more responses from the one or more engineering workflow systems, wherein the one or more engineering workflow systems are configured to provide the one or more responses based on an association between a respective abatement technology of each of the one or more engineering workflow systems and the sustainability parameter data;

sending, via the computing system, the updated sustainability model to the one or more engineering workflow systems configured to determine one or more action plans associated with improving the one or more sustainability parameters, the one or more additional sustainability parameters, or both;

receiving, via the computing system, the one or more action plans from the one or more engineering workflow systems, wherein the respective abatement technology, when implemented via the one or more action plans, is estimated to satisfy sustainability target data;

automatically sending, via the computing system, one or more commands to a plurality of devices associated with adjusting the one or more operational tasks performed with regard to extracting hydrocarbons from a subsurface region of the Earth as part of the hydrocarbon production system, adjusting the one or more utility operations within the one or more buildings, or both, based on the one or more action plans in response to receiving the one or more action plans, wherein the one or more commands are configured to cause the plurality of devices associated with the one or more operational tasks to adjust one or more operational settings in response to receiving the one or more commands, wherein the one or more operational settings are associated with controlling a flow of hydrocarbons from the subsurface region via one or more pumps, one or more wellheads, one or more artificial lifts, or any combination thereof;

receiving feedback data from one or more sensors, wherein the feedback data is representative of the flow of hydrocarbons from the subsurface region;

determining a discrepancy between the feedback data and the sustainability target data;

updating one or more portions of the sustainability model based on the discrepancy; and

adjusting the one or more operational settings based on the updated one or more portions of the sustainability model.

2 . The method of claim 1 , wherein the image data comprises one or more image captures associated with methane emissions, fugitive emissions, or both.

3 . The method of claim 1 , wherein the marketplace data comprises cost data for performing the one or more operational tasks, the one or more utility operations, or both.

4 . The method of claim 3 , wherein the cost data related to the one or more operational tasks corresponds to one or more operational parameters for operating equipment within the hydrocarbon production system.

5 . The method of claim 1 , wherein the IoT data corresponds to emission data for equipment in the hydrocarbon production system.

6 . The method of claim 1 , wherein the corporate data comprises spend data for the enterprise, changes to corporate structure of the enterprise, or both.

7 . The method of claim 1 , comprising:

determining that the one or more sustainability parameters, the one or more additional sustainability parameters, or both are less than one or more thresholds;

identifying the one or more engineering workflow systems in response to the one or more sustainability parameters, the one or more additional sustainability parameters, or both being less than the one or more thresholds, wherein the one or more engineering workflow systems correspond to improving at least a portion of the one or more sustainability parameters, the one or more additional sustainability parameters, or both; and

sending one or more requests to provide the one or more action plans to the one or more engineering workflow systems.

8 . The method of claim 1 , wherein the one or more action plans comprise one or more modifications to the one or more operational tasks, the one or more utility operations, or both.

9 . A system, comprising:

a production system configured to produce a plurality of products over time as part of an enterprise;

a plurality of buildings associated with the enterprise; and

a processing system comprising a memory configured to store instructions that cause the processing system to perform operations comprising:

receiving one or more datasets comprising image data, marketplace data, third-party data, internet-of-things (IoT) data, corporate data, or any combination thereof associated with enterprise operations, wherein the enterprise operations correspond to production data comprising information related to one or more sustainability parameters corresponding to one or more operational tasks performed in the production system and facility data comprising additional information related to one or more additional sustainability parameters corresponding to one or more utility operations within the plurality of buildings;

detecting a change in sustainability parameter data associated with the enterprise operations based on the datasets and a sustainability model representative of one or more current sustainability parameters associated with the enterprise operations;

updating the sustainability model based on the datasets;

identifying one or more engineering workflow systems of a plurality of engineering workflow systems in response to the change in sustainability parameter data being greater than a threshold, wherein each of the plurality of engineering workflow systems corresponds to a computing device, and wherein the one or more engineering workflow systems are identified by:

broadcasting a request indicative of the sustainability parameter data to the plurality of engineering workflow systems; and

querying a database comprising a list of abatement technologies associated with each of the plurality of engineering workflow systems, wherein each abatement technology of the list corresponds to performing an operation to modify at least one of one or more current values associated with the one or more sustainability parameters, the one or more additional sustainability parameters, or both, and wherein a plurality of abatement technologies are identified based on:

a first indicator of which of a plurality of sustainability parameters are associated with the plurality of abatement technologies;

a second indicator of an extent of an effectiveness of the plurality of abatement technologies on the plurality of sustainability parameters;

a third indicator of a geographical applicability of the plurality of abatement technologies;

a fourth indicator of a lifetime of the plurality of abatement technologies;

a fifth indicator of a time to implement the plurality of abatement technologies; or

any combination thereof; and

presenting the plurality of abatement technologies compatible with the sustainability model;

receiving one or more responses from the one or more engineering workflow systems, wherein the one or more engineering workflow systems are configured to provide the one or more responses based on an association between a respective abatement technology of each of the one or more engineering workflow systems and the sustainability parameter data;

sending the updated sustainability model to the one or more engineering workflow systems configured to determine one or more action plans associated with improving the one or more sustainability parameters, the one or more additional sustainability parameters, or both, wherein the respective abatement technology, when implemented via the one or more action plans, is estimated to satisfy sustainability target data;

automatically sending one or more commands to a plurality of devices associated with adjusting the one or more operational tasks performed with regard to extracting hydrocarbons from a subsurface region of the Earth as part of the production system, adjusting the one or more utility operations within the plurality of buildings, or both, based on the one or more action plans in response to receiving the one or more action plans, wherein the one or more commands are configured to cause the plurality of devices associated with the one or more operational tasks to adjust one or more operational settings in response to receiving the one or more commands, wherein the one or more operational settings are associated with controlling a flow of hydrocarbons from the subsurface region via one or more pumps, one or more wellheads, one or more artificial lifts, or any combination thereof;

receiving feedback data from one or more sensors, wherein the feedback data is representative of the flow of hydrocarbons from the subsurface region;

determining a discrepancy between the feedback data and the sustainability target data;

updating one or more portions of the sustainability model based on the discrepancy; and

adjusting the one or more operational settings based on the updated one or more portions of the sustainability model.

10 . The system of claim 9 , wherein the image data comprises one or more image captures associated with methane emissions, fugitive emissions, or both.

11 . The system of claim 9 , wherein the marketplace data comprises cost data for performing the one or more operational tasks, the one or more utility operations, or both.

12 . The system of claim 11 , wherein the cost data related to the one or more operational tasks corresponds to one or more operational parameters for operating equipment within the production system.

13 . The system of claim 9 , wherein the IoT data corresponds to emission data for equipment in the production system.

14 . The system of claim 9 , wherein the corporate data comprises spend data for the enterprise, changes to corporate structure of the enterprise, or both.

15 . The system of claim 9 , wherein the processing system performs the operations comprising:

determining that the one or more sustainability parameters, the one or more additional sustainability parameters, or both are less than one or more additional thresholds;

identifying the one or more engineering workflow systems in response to the one or more sustainability parameters, the one or more additional sustainability parameters, or both being less than the one or more additional thresholds, wherein the one or more engineering workflow systems correspond to improving at least a portion of the one or more sustainability parameters, the one or more additional sustainability parameters, or both; and

sending one or more requests to provide the one or more action plans to the one or more engineering workflow systems.

16 . The system of claim 15 , wherein the one or more action plans comprise one or more modifications to the one or more operational tasks, the one or more utility operations, or both.

17 . A non-transitory computer-readable medium comprising computer-executable instructions configured to cause a computing system to perform operations comprising:

receiving one or more datasets comprising image data, marketplace data, third-party data, internet-of-things (IoT) data, corporate data, or any combination thereof associated with enterprise operations, wherein the enterprise operations correspond to production data comprising information related to one or more sustainability parameters corresponding to one or more operational tasks performed in a hydrocarbon production system and facility data comprising additional information related to one or more additional sustainability parameters corresponding to one or more utility operations within one or more buildings associated with the enterprise;

detecting a change in sustainability parameter data associated with the enterprise operations based on the datasets and a sustainability model representative of one or more current sustainability parameters associated with the enterprise operations;

updating the sustainability model based on the datasets;

identifying one or more engineering workflow systems of a plurality of engineering workflow systems in response to the change in sustainability parameter data being greater than a threshold, wherein each of the plurality of engineering workflow systems corresponds to a computing device, and wherein the one or more engineering workflow systems are identified by:

broadcasting a request indicative of the sustainability parameter data to the plurality of engineering workflow systems; and

querying a database comprising a list of abatement technologies associated with each of the plurality of engineering workflow systems, wherein each abatement technology of the list corresponds to performing an operation to modify at least one of one or more current values associated with the one or more sustainability parameters, the one or more additional sustainability parameters, or both, and wherein a plurality of abatement technologies are identified based on:

a first indicator of which of a plurality of sustainability parameters are associated with the plurality of abatement technologies;

a second indicator of an extent of an effectiveness of the plurality of abatement technologies on the plurality of sustainability parameters;

a third indicator of a geographical applicability of the plurality of abatement technologies;

a fourth indicator of a lifetime of the plurality of abatement technologies;

a fifth indicator of a time to implement the plurality of abatement technologies; or

any combination thereof; and

presenting the plurality of abatement technologies compatible with the sustainability model;

receiving one or more responses from the one or more engineering workflow systems, wherein the one or more engineering workflow systems are configured to provide the one or more responses based on an association between a respective abatement technology of each of the one or more engineering workflow systems and the sustainability parameter data;

sending the updated sustainability model to the one or more engineering workflow systems configured to determine one or more action plans associated with improving the one or more sustainability parameters, the one or more additional sustainability parameters, or both;

receiving the one or more action plans from the one or more engineering workflow systems, wherein the respective abatement technology, when implemented via the one or more action plans, is estimated to satisfy sustainability target data;

automatically sending one or more commands to a plurality of devices associated with adjusting the one or more operational tasks performed with regard to extracting hydrocarbons from a subsurface region of the Earth as part of the hydrocarbon production system, adjusting the one or more utility operations within the one or more buildings, or both, based on the one or more action plans in response to receiving the one or more action plans, wherein the one or more commands are configured to cause the plurality of devices associated with the one or more operational tasks to adjust one or more operational settings in response to receiving the one or more commands, wherein the one or more operational settings are associated with controlling a flow of hydrocarbons from the subsurface region via one or more pumps, one or more wellheads, one or more artificial lifts, or any combination thereof;

receiving feedback data from one or more sensors, wherein the feedback data is representative of the flow of hydrocarbons from the subsurface region;

determining a discrepancy between the feedback data and the sustainability target data;

updating one or more portions of the sustainability model based on the discrepancy; and

adjusting the one or more operational settings based on the updated one or more portions of the sustainability model.

18 . The non-transitory computer-readable medium of claim 17 , wherein the image data comprises one or more image captures associated with methane emissions, fugitive emissions, or both.

19 . The non-transitory computer-readable medium of claim 17 , wherein the marketplace data comprises cost data for performing the one or more operational tasks, the one or more utility operations, or both.

20 . The non-transitory computer-readable medium of claim 19 , wherein the cost data related to the one or more operational tasks corresponds to one or more operational parameters for operating equipment within the hydrocarbon production system.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 31, 2024
From: MENON, SHASHI; ARORA, HEMANT; SEABROOK, DAVID; GEY, GIAN-MARCIO; KLUMPEN, HANS ERIC; DAS, DEBASISH; SPORLEDER, FEDERICO; ZHANG, JING; RAY, RAJARSHI; SALMAN, NADER; LEE, STEPHANIE; WIER, COLIN; KAMAT, NEERAJ; MODAK, HARSHADA
To: SCHLUMBERGER TECHNOLOGY CORPORATION
Reel/Frame 069280/0395 →
Continuity (2)
Provisional Application 63471174 · Jun 5, 2023
Related Publication 20240403782A1 · Dec 5, 2024
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