IP Library Granted Patent US 12,423,628
Granted Patent B2
US 12,423,628 · App. 18/734,247 · Granted Sep 23, 2025

Optimizing green house gas sustainability with action 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 12,423,628
App. No.
18/734,247
Granted
Sep 23, 2025
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 for operational tasks performed in a hydrocarbon production system, facility data corresponding to utility operations within buildings associated with the enterprise, or both. The method involves simulating implementing action plans via devices that correspond to the 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, and identifying at least one of a plurality of engineering workflow systems to reduce the amount of GHG emissions based on the GHG footprint evolution report. The method involves sending commands to devices of the plurality of devices based on the action plan, such that the commands are cause the devices to adjust their operations.

Claims (86)

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 with regard to extracting hydrocarbons from a subsurface region of earth as part of 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 the 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, wherein each of the plurality of engineering workflow systems corresponds to a separate computing device relative to the computing system and is configured to independently analyze the GHG footprint evolution report, and wherein the at least one of the plurality of engineering workflow systems is identified by:

broadcasting a request indicative of the GHG footprint evolution report 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 a device associated with performing an operation to reduce the amount of GHG emissions; and

receiving one or more responses from the plurality of engineering workflow systems, wherein the plurality of 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 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 to improve the amount of GHG emissions from the at least one of the plurality of engineering workflow systems; and

automatically sending, via the computing system, one or more commands to the plurality of devices based on the action plan in response to receiving the action plan, wherein the plurality of devices is associated with performing the one or more operational tasks performed with regard to extracting the hydrocarbons from the subsurface region; and

in response to receiving the one or more commands:

adjusting, by the plurality of devices associated with the one or more operational tasks, one or more respective operations to control a flow of hydrocarbons from the subsurface region.

2. The method of claim 1 , comprising:

receiving a carbon disclosure project (CDP) report; and

generating the sustainability model based on the CDP report.

3. The method of claim 1 , comprising:

receiving real-time data from 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.

4. The method of claim 1 , 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.

5. The method of claim 1 , comprising:

receiving electricity consumption data associated with the one or more enterprise operations;

determining scope 2 type emissions based on the electricity consumption data; and

generating the sustainability model based on the scope 2 type emissions.

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

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

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 a time period as part of an enterprise;

a plurality of buildings associated with the enterprise;

a plurality of devices that correspond to one or more enterprise operations; 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 with regard to extracting hydrocarbons from a subsurface region of earth as a part of 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 the 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 the 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, wherein each of the plurality of engineering workflow systems corresponds to a separate computing device relative to the processing system and is configured to independently analyze the GHG footprint evolution report, and wherein the at least one of the plurality of engineering workflow systems is identified by:

broadcasting a request indicative of the GHG footprint evolution report 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 a device associated with performing an operation to reduce the amount of GHG emissions; and

receiving one or more responses from the plurality of engineering workflow systems, wherein the plurality of 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 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 to improve the amount of GHG emissions from the at least one of the plurality of engineering workflow systems; and

automatically sending one or more commands to the plurality of devices based on the action plan in response to receiving the action plan, wherein the plurality of devices is associated with performing the one or more operational tasks performed with regard to extracting the hydrocarbons from the subsurface region, adjusting the one or more utility operations within the one or more buildings, or both; and

in response to receiving the one or more commands:

adjusting, by the plurality of devices associated with the one or more operational tasks, one or more respective operations to control a flow of hydrocarbons from the subsurface region;

adjusting, by the plurality of devices associated with the one or more utility operations, one or more operational schedules associated with the one or more buildings, one or more employees, or both; or

both.

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

receiving a carbon disclosure project (CDP) report; and

generating the sustainability model based on the CDP report.

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

receiving real-time data from 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.

12. The system of claim 9 , wherein the processing system performs the operations 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.

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

receiving electricity consumption data associated with the one or more enterprise operations;

determining scope 2 type emissions based on the electricity consumption data; and

generating the sustainability model based on the scope 2 type emissions.

14. The system of claim 9 , wherein the one or more devices comprise an electronic submersible pump, a heater, a separator, or any combination thereof.

15. The system of claim 9 , wherein the amount of greenhouse gas (GHG) emissions is simulated based on a process-based approach, a modular structure, a Monet Carlo simulation, or any combination thereof.

16. The system of claim 9 , 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 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 with regard to extracting hydrocarbons from a subsurface region of earth as part of 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 the time;

generating 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, wherein each of the plurality of engineering workflow systems corresponds to a separate computing device relative to the computing system and is configured to independently analyze the GHG footprint evolution report, and wherein the at least one of the plurality of engineering workflow systems is identified by:

broadcasting a request indicative of the GHG footprint evolution report 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 a device associated with performing an operation to reduce the amount of GHG emissions; and

receiving one or more responses from the plurality of engineering workflow systems, wherein the plurality of 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 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 to improve the amount of GHG emissions from the at least one of the plurality of engineering workflow systems; and

automatically sending one or more commands to the plurality of devices based on the action plan in response to receiving the action plan, wherein the plurality of devices is associated with performing the one or more operational tasks performed with regard to extracting the hydrocarbons from the subsurface region; and

in response to receiving the one or more commands:

adjusting, by the plurality of devices associated with the one or more operational tasks, one or more respective operations to control a flow of hydrocarbons from the subsurface region.

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

receiving a carbon disclosure project (CDP) report; and

generating the sustainability model based on the CDP report.

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

receiving real-time data from 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.

20. The non-transitory computer-readable medium of claim 17 , 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 20240403894A1 · Dec 5, 2024
References Cited (87)
US 7584165B2 · Buchan · 2009 [cited by applicant]
US 9075408B2 · Loldj · 2015 [cited by applicant]
US 10339478B2 · Grant · 2019 [cited by applicant]
US 10373085B1 · Baghdikian · 2019 [cited by applicant]
US 20070078692A1 · Vyas · 2007 [cited by applicant]
US 20080077371A1 · Yeten · 2008 [cited by applicant]
US 20110061295A1 · McAlister · 2011 [cited by applicant]
US 20110320054A1 · Brzezowski · 2011 [cited by applicant]
US 20120271669A1 · Taper · 2012 [cited by applicant]
US 20130098049A1 · Kraemer et al. · 2013 [cited by applicant]
US 20130226648A1 · Horch et al. · 2013 [cited by applicant]
US 20140249892A1 · Lobato Moreno · 2014 [cited by applicant]
US 20160350778A1 · Levine et al. · 2016 [cited by applicant]
US 20170051681A1 · Arias Chao · 2017 [cited by applicant]
US 20170321656A1 · Eisenberger · 2017 [cited by applicant]
US 20180231967A1 · Cohen · 2018 [cited by applicant]
US 20180266241A1 · Ferguson et al. · 2018 [cited by applicant]
US 20190335674A1 · Basso · 2019 [cited by applicant]
US 20190370690A1 · Anderson · 2019 [cited by applicant]
US 20190385244A1 · Stelmar Netto · 2019 [cited by applicant]
US 20210238971A1 · Crumpton · 2021 [cited by applicant]
US 20210372864A1 · Tao et al. · 2021 [cited by applicant]
US 20210388717A1 · Srinivasan · 2021 [cited by applicant]
US 20220018231A1 · Weatherhead · 2022 [cited by examiner]
US 20220027810A1 · Murthy · 2022 [cited by applicant]
US 20220065834A1 · Gadot et al. · 2022 [cited by applicant]
US 20220076182A1 · Vollmert et al. · 2022 [cited by applicant]
US 20220122015A1 · Bandopadhyay · 2022 [cited by applicant]
US 20220230250A1 · Kawamori · 2022 [cited by applicant]
US 20220243570A1 · Xiao et al. · 2022 [cited by applicant]
US 20220284519A1 · Pancholi et al. · 2022 [cited by applicant]
US 20220325887A1 · Wang et al. · 2022 [cited by applicant]
US 20220343229A1 · Gruber · 2022 [cited by examiner]
US 20220343433A1 · Yan · 2022 [cited by examiner]
US 20220358515A1 · Kahn · 2022 [cited by examiner]
US 20220390137A1 · Wenzel · 2022 [cited by examiner]
US 20220404050A1 · Chang et al. · 2022 [cited by applicant]
US 20230085641A1 · Jones et al. · 2023 [cited by applicant]
US 20230152763A1 · Davis et al. · 2023 [cited by applicant]
US 20230186217A1 · Kulkarni · 2023 [cited by examiner]
US 20230222388A1 · Cella · 2023 [cited by applicant]
US 20230351300A1 · Nielsen et al. · 2023 [cited by applicant]
US 20230359970A1 · Bachman · 2023 [cited by examiner]
US 20230385299A1 · Al Rasheed et al. · 2023 [cited by applicant]
US 20240019882A1 · Suri · 2024 [cited by examiner]
US 20240067884A1 · Rooney et al. · 2024 [cited by applicant]
US 20240070680A1 · Takawale · 2024 [cited by examiner]
US 20240281826A1 · Mallet · 2024 [cited by applicant]
US 20240403777A1 · Menon · 2024 [cited by applicant]
US 20240403778A1 · Menon · 2024 [cited by applicant]
US 20240403782A1 · Menon · 2024 [cited by applicant]
US 20240403784A1 · Menon · 2024 [cited by applicant]
US 20240403799A1 · Menon · 2024 [cited by applicant]
US 20240403893A1 · Menon · 2024 [cited by applicant]
US 20240403895A1 · Menon · 2024 [cited by applicant]
CN 110110904 · 2019 [cited by applicant]
CN 113969774 · 2022 [cited by applicant]
CN 114565319 · 2022 [cited by applicant]
CN 115563757 · 2023 [cited by applicant]
KR 101448453B1 · 2014 [cited by applicant]
KR 101993366 · 2019 [cited by applicant]
WO 2009152553A9 · 2009 [cited by applicant]
WO 2016196351 · 2016 [cited by applicant]
WO 2020263693 · 2020 [cited by applicant]
WO 2023009865 · 2023 [cited by applicant]
WO 2023017164 · 2023 [cited by applicant]
WO 2023033832 · 2023 [cited by applicant]
WO 2023154091 · 2023 [cited by applicant]
A. Farajzadeh, R., et al., “Life-cycle production optimiation of hydrocarbon fields: thermoeconomics perspective.” Sustainable Energy & Fuels 3.11 (2019): 3050-3060. (Year: 2019). [cited by applicant]
Farsan et al., “Value Change in the Value Chain: Best Practices in Scope 3 Greenhouse Gas Management”, Climate—KIC, Version 3.0, Nov. 2018. (Year: 2018), 44 pages. [cited by applicant]
Non-Final Office Action issued in U.S. Appl. No. 18/733,939 on Aug. 6, 2024; 63 pages. [cited by applicant]
Non-Final Office Action issued in U.S. Appl. No. 18/733,951 on Aug. 8, 2024; 19 pages. [cited by applicant]
Non-Final Office Action issued in U.S. Appl. No. 18/734,079 on Aug. 27, 2024; 28 pages. [cited by applicant]
International Search Report and Written Opinion issued in International Patent Application No. PCT/US2024/032503 on Sep. 13, 2024; 12 pages. [cited by applicant]
International Search Report and Written Opinion issued in International Patent Appl. No. PCT/US2024/032506 on Sep. 11, 2024, 10 pages. [cited by applicant]
International Search Report and Written Opinion issued in International Patent Appl. No. PCT/US2024/032490 on Sep. 27, 2024, 13 pages. [cited by applicant]
International Search Report and Written Opinion issued in International Patent Appl. No. PCT/US2024/032483 on Sep. 27, 2024, 9 pages. [cited by applicant]
Non-Final Office Action issued in U.S. Appl. No. 18/734,238 on Sep. 24, 2024; 29 pages. [cited by applicant]
International Search Report and Written Opinion issued in International Patent Appl. No. PCT/US2024/032475 on Sep. 30, 2024, 10 pages. [cited by applicant]
Office Action issued in U.S. Appl. No. 18/733,939 dated Dec. 5, 2024, 96 pages. [cited by applicant]
Office Action issued in U.S. Appl. No. 18/734,238 dated Jan. 6, 2025, 38 pages. [cited by applicant]
Notice of Allowance issued in U.S. Appl. No. 18/733,951 dated Jan. 15, 2025, 20 pages. [cited by applicant]
International Search Report and Written Opinion issued in International Patent Appl. No. PCT/US2024/032509 on Sep. 13, 2024; 10 pages. [cited by applicant]
International Search Report and Written Opinion issued in International Patent Appl. No. PCT/US2024/032513 on Sep. 12, 2024; 11 pages. [cited by applicant]
International Search Report and Written Opinion issued in International Patent Appl. No. PCT/US2024/032519 on Sep. 19, 2024; 11 pages. [cited by applicant]
Non-Final Office Action issued in U.S. Appl. No. 18/734,268 on Oct. 21, 2024; 35 pages. [cited by applicant]
Sipola, J. et al., “Adopting artificial intelligence in sustainable business”, Journal of Cleaner Production, 2023, 426, 8 pages. [cited by applicant]