IP Library Granted Patent US 12,541,725
Granted Patent B2
US 12,541,725 · App. 18/734,268 · Granted Feb 3, 2026

Optimizing green house gas sustainability with prognostic maintenance management plans for an enterprise

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 12,541,725
App. No.
18/734,268
Granted
Feb 3, 2026
Kind
B2
Abstract

A method may include receiving a sustainability model indicative of a plurality of sustainability parameters associated with enterprise operations corresponding to production data of a hydrocarbon production system or facility data of buildings associated with the enterprise. The method includes simulating implementing action plans via a plurality of devices that correspond to the enterprise operations over time to determine an amount of greenhouse gas (GHG) emissions associated with the enterprise, identifying at least one of a plurality of engineering workflow systems to reduce the amount of GHG emissions based on the GHG emissions, such that the plurality of engineering workflow systems determines maintenance or replacement operations for equipment in the enterprise. The method includes sending commands to devices of the devices based on the action plan, such that the commands are cause the devices to go offline at a schedule time period to perform maintenance or replacement of the devices.

Claims (68)

1 . A method comprising:

receiving, via a computing system, a sustainability model indicative of a plurality of sustainability parameters associated with one or more enterprise operations, wherein the one or more enterprise operations correspond to production data corresponding to one or more operational tasks performed in a hydrocarbon production system, facility data corresponding to one or more utility operations within one or more buildings associated with an enterprise, or both;

simulating, via the computing system, implementing one or more action plans via a plurality of devices that correspond to the one or more enterprise operations over time to determine an amount of greenhouse gas (GHG) emissions associated with the enterprise over time;

generating, via the computing system, a GHG footprint evolution report based on the amount of GHG emissions;

identifying, via the computing system, at least one of a plurality of engineering workflow systems configured to reduce the amount of GHG emissions based on the GHG footprint evolution report in response to the amount of GHG emissions 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 is configured to determine one or more maintenance operations for one or more devices of the plurality of devices in the enterprise by analyzing the GHG footprint evolution report, and wherein the at least one of the plurality of engineering workflow systems is identified by:

broadcasting a request to the plurality of engineering workflow systems indicative of the GHG footprint evolution report;

querying a database comprising a list of a plurality of prognostic health management services corresponding to the plurality of engineering workflow systems, wherein at least one of the plurality of prognostic health management services corresponds to one or more efficiencies of the one or more devices, one or more maintenance schedules for the one or more devices, and one or more expected lifespans of the one or more devices; and

receiving one or more responses from the at least one of the plurality of engineering workflow systems, wherein the at least one of the plurality of engineering workflow systems is configured to provide the one or more responses based on an association between a respective prognostic health management service of each of the at least one of the plurality of engineering workflow systems and the GHG footprint evolution report;

sending, via the computing system, the sustainability model to the at least one of the plurality of engineering workflow systems;

receiving, via the computing system, an action plan from the at least one of the plurality of engineering workflow systems, wherein the action plan is configured to reduce the amount of GHG emissions;

automatically sending, via the computing system, one or more commands to the one or more devices associated with the one or more maintenance operations in the hydrocarbon production system based on the action plan in response to receiving the action plan; and

in response to receiving the one or more commands, the one or more devices shut down at one or more scheduled time periods to perform the one or more maintenance operations.

2 . The method of claim 1 , wherein the at least one of the plurality of engineering workflow systems is configured to determine the one or more maintenance operations for the one or more devices based on commissioning information, one or more maintenance records, or both.

3 . The method of claim 1 , wherein identifying the at least one of the plurality of engineering workflow systems further comprises:

receiving real-time data from one or more additional devices configured to measure scope 1 type emissions associated with the one or more enterprise operations; and

identifying the at least one of the plurality of engineering workflow systems based on the real-time data indicative of a failure of at least one of the one or more devices.

4 . The method of claim 1 , wherein identifying the at least one of the plurality of engineering workflow systems further comprises:

receiving real-time data from one or more sensors configured to measure scope 1 type emissions associated with the one or more enterprise operations;

determining a portion of the amount of GHG emissions is attributable to the one or more devices; and

identifying the at least one of the plurality of engineering workflow systems based on the portion of the amount of GHG emissions attributable to the one or more devices.

5 . The method of claim 1 , wherein the one or more devices comprise an electronic submersible pump, a heater, a separator, or any combination thereof.

6 . The method of claim 1 , wherein the amount of greenhouse gas (GHG) emissions is simulated based on process-based approach, a modular structure, a Monet Carlo simulation, or any combination thereof.

7 . 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.

8 . 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 a sustainability model indicative of a plurality of sustainability parameters associated with one or more enterprise operations of the enterprise, wherein the one or more enterprise operations correspond to production data corresponding to one or more operational tasks performed in the production system, facility data corresponding to one or more utility operations within the plurality of buildings associated with the enterprise, or both;

simulating implementing one or more action plans via a plurality of devices that correspond to the one or more enterprise operations over time to determine an amount of greenhouse gas (GHG) emissions associated with the enterprise over time;

generating a GHG footprint evolution report based on the amount of GHG emissions;

identifying at least one of a plurality of engineering workflow systems configured to reduce the amount of GHG emissions based on the GHG footprint evolution report in response to the amount of GHG emissions being greater than a threshold, wherein each of the plurality of engineering workflow systems corresponds to a separate computing device relative to the processing system and is configured to determine one or more maintenance operations for one or more devices of the plurality of devices by analyzing the GHG footprint evolution report, and wherein the at least one of the plurality of engineering workflow systems is identified by:

broadcasting a request to the plurality of engineering workflow systems indicative of the GHG footprint evolution report;

querying a database comprising a list of a plurality of prognostic health management services corresponding to the plurality of engineering workflow systems, wherein at least one of the plurality of prognostic health management services corresponds to one or more efficiencies of the one or more devices, one or more maintenance schedules for the one or more devices, and one or more expected lifespans of the one or more devices; and

receiving one or more responses from the at least one of the plurality of engineering workflow systems, wherein the at least one of the plurality of engineering workflow systems is configured to provide the one or more responses based on an association between a respective prognostic health management service of each of the at least one of the plurality of engineering workflow systems and the GHG footprint evolution report;

sending the sustainability model to the at least one of the plurality of engineering workflow systems;

receiving an action plan from the at least one of the plurality of engineering workflow systems, wherein the action plan is configured to reduce the amount of GHG emissions;

automatically sending one or more commands to the one or more devices associated with the one or more maintenance operations in the production system based on the action plan in response to receiving the action plan; and

in response to receiving the one or more commands, wherein the one or more commands are configured to cause the one or more devices shut down at one or more schedule time periods to perform the one or more maintenance operations.

9 . The system of claim 8 , wherein the at least one of the plurality of engineering workflow systems is configured to determine the one or more maintenance operations for the one or more devices based on commissioning information, one or more maintenance records, or both.

10 . The system of claim 8 , wherein the processing system performs the operations comprising identifying the at least one of the plurality of engineering workflow systems by:

receiving real-time data from one or more additional devices configured to measure scope 1 type emissions associated with the one or more enterprise operations; and

identifying the at least one of the plurality of engineering workflow systems based on the real-time data indicative of a failure of at least one of the one or more devices.

11 . The system of claim 8 , wherein the processing system performs the operations comprising identifying the at least one of the plurality of engineering workflow systems by:

receiving real-time data from one or more sensors configured to measure scope 1 type emissions associated with the one or more enterprise operations;

determining a portion of the amount of GHG emissions is attributable to the one or more devices; and

identifying the at least one of the plurality of engineering workflow systems based on the portion of the amount of GHG emissions attributable to the one or more devices.

12 . The system of claim 8 , wherein the one or more devices comprise an electronic submersible pump, a heater, a separator, or any combination thereof.

13 . The system of claim 8 , wherein the amount of greenhouse gas (GHG) emissions is simulated based on process-based approach, a modular structure, a Monet Carlo simulation, or any combination thereof.

14 . The system of claim 8 , 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.

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

receiving a sustainability model indicative of a plurality of sustainability parameters associated with one or more enterprise operations, wherein the one or more enterprise operations correspond to production data corresponding to one or more operational tasks performed in a hydrocarbon production system, facility data corresponding to one or more utility operations within one or more buildings associated with an enterprise, or both;

simulating implementing one or more action plans via a plurality of devices that correspond to the one or more enterprise operations over time to determine an amount of greenhouse gas (GHG) emissions associated with the enterprise over time;

generating a GHG footprint evolution report based on the amount of GHG emissions;

identifying at least one of a plurality of engineering workflow systems configured to reduce the amount of GHG emissions based on the GHG footprint evolution report in response to the amount of GHG emissions 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 is configured to determine one or more maintenance operations for one or more devices of the plurality of devices by analyzing the GHG footprint evolution report, and wherein the at least one of the plurality of engineering workflow systems is identified by:

broadcasting a request to the plurality of engineering workflow systems indicative of the GHG footprint evolution report;

querying a database comprising a list of a plurality of prognostic health management services corresponding to the plurality of engineering workflow systems, wherein at least one of the plurality of prognostic health management services corresponds to one or more efficiencies of the one or more devices, one or more maintenance schedules for the one or more devices, and one or more expected lifespans of the one or more devices; and

receiving one or more responses from the at least one of the plurality of engineering workflow systems, wherein the at least one of the plurality of engineering workflow systems is configured to provide the one or more responses based on an association between a respective prognostic health management service of each of the at least one of the plurality of engineering workflow systems and the GHG footprint evolution report;

sending the sustainability model to the at least one of the plurality of engineering workflow systems;

receiving an action plan from at least one of the plurality of engineering workflow systems, wherein the action plan is configured to reduce the amount of GHG emissions;

automatically sending one or more commands to the one or more devices associated with the one or more maintenance operations in the hydrocarbon production system based on the action plan in response to receiving the action plan; and

in response to receiving the one or more commands, wherein the one or more commands are configured to cause the one or more devices shut down at one or more scheduled time periods to perform the one or more maintenance operations.

16 . The non-transitory computer-readable medium of claim 15 , wherein the at least one of the plurality of engineering workflow systems is configured to determine maintenance operations based on commissioning information, one or more maintenance records, or both.

17 . The non-transitory computer-readable medium of claim 15 , comprising:

receiving real-time data from one or more additional devices configured to measure scope 1 type emissions associated with the one or more enterprise operations; and

generating the sustainability model based on the real-time data.

18 . The non-transitory computer-readable medium of claim 15 , comprising:

receiving real-time data from one or more sensors configured to measure scope 1 type emissions associated with the one or more enterprise operations; and

generating the sustainability model based on the real-time data.

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 20240403895A1 · Dec 5, 2024
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