IP Library Granted Patent US 12,602,628
Granted Patent B2
US 12,602,628 · App. 18/734,278 · Granted Apr 14, 2026

Evaluating action plans for optimizing sustainability factors of 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 12,602,628
App. No.
18/734,278
Granted
Apr 14, 2026
Kind
B2
Abstract

A method may include receiving a sustainability model indicative of a plurality of expected sustainability parameters associated with enterprise operations of an enterprise over a period of time. The method includes receiving a plurality of action plans for the enterprise, such that the plurality of action plans corresponds to operational characteristics of a plurality of devices that correspond to the one or more enterprise operations. The method receives sustainability variables associated with sustainability parameters for the enterprise operations, simulating a plurality of sustainability variables associated with performing the plurality of action plans over time with respect to the sustainability variables, determining a plurality of effectiveness values associated with performing the plurality of action plans relative to the sustainability variables, presenting the plurality of action plans with the one or more effectiveness values. The method includes sending commands to devices of the plurality of devices based on a selected action plan.

Claims (62)

1 . A method comprising:

receiving, via a computing system, a sustainability model indicative of a plurality of expected sustainability parameters associated with one or more enterprise operations of an enterprise over a period of time, 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 the enterprise, or both;

identifying, via the computing system, one or more engineering workflow systems of a plurality of engineering workflow systems, 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 plurality of expected sustainability parameters 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 corresponds to one or more sustainability parameters; and

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 plurality of expected sustainability parameters;

receiving, via the computing system, a plurality of action plans for the enterprise from the one or more engineering workflow systems, wherein the plurality of action plans corresponds to operational characteristics of a plurality of devices that correspond to the one or more enterprise operations;

receiving, via the computing system, one or more sustainability variables associated with the one or more sustainability parameters for the one or more enterprise operations;

simulating, via the computing system, a plurality of sustainability variables associated with performing the plurality of action plans over time with respect to the one or more sustainability variables;

determining, via the computing system, a plurality of effectiveness values associated with performing the plurality of action plans relative to the one or more sustainability variables;

presenting, via the computing system, the plurality of action plans with the plurality of effectiveness values;

receiving, via the computing system, a selection of one action plan of the plurality of action plans;

generating, via the computing system, one or more commands based on the one action plan; and

adjusting, via the computing system, one or more respective operations based on the one or more commands.

2 . The method of claim 1 , wherein the one or more sustainability variables is received via user input.

3 . The method of claim 1 , wherein the one or more sustainability variables corresponds to one or more updated regulations for the enterprise.

4 . The method of claim 1 , wherein simulating the plurality of sustainability variables associated with performing the plurality of action plans over time comprises executing an optimization problem for each of the plurality of action plans a number of times.

5 . The method of claim 1 , wherein determining the plurality of effectiveness values comprises executing a plurality of optimization algorithms for each of the plurality of action plans, wherein each of the plurality of optimization algorithms uses the same set of input variables.

6 . The method of claim 5 , wherein the plurality of effectiveness values corresponds to a number of a portion of the plurality of optimization algorithms having the same result for an action plan of the plurality of action plans.

7 . The method of claim 1 , comprising updating an artificial intelligence model representative of a preference of a user based on the selection.

8 . The method of claim 1 , wherein the plurality of 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 a sustainability model indicative of a plurality of expected sustainability parameters associated with one or more enterprise operations of the enterprise over a period of time, 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 one or more buildings associated with the enterprise, or both;

identifying one or more engineering workflow systems of a plurality of engineering workflow systems, wherein each of the plurality of engineering workflow systems corresponds to a separate computing device relative to the processing system, and wherein the one or more engineering workflow systems are identified by:

broadcasting a request indicative of the plurality of expected sustainability parameters 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 corresponds to one or more sustainability parameters; and

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 plurality of expected sustainability parameters;

receiving a plurality of action plans for the enterprise from the one or more engineering workflow systems, wherein the plurality of action plans corresponds to operational characteristics of a plurality of devices that correspond to the one or more enterprise operations;

receiving one or more sustainability variables associated with the one or more sustainability parameters for the one or more enterprise operations;

simulating a plurality of sustainability variables associated with performing the plurality of action plans over time with respect to the one or more sustainability variables;

determining a plurality of effectiveness values associated with performing the plurality of action plans relative to the one or more sustainability variables;

presenting the plurality of action plans with the plurality of effectiveness values;

receiving a selection of one action plan of the plurality of action plans;

generating one or more commands based on the one action plan; and

adjusting one or more respective operations based on the one or more commands.

10 . The system of claim 9 , wherein the one or more sustainability variables is received via user input.

11 . The system of claim 9 , wherein the one or more sustainability variables corresponds to one or more updated regulations for the enterprise.

12 . The system of claim 9 , wherein the processing system is configured to perform the operations comprising simulating the plurality of sustainability variables associated with performing the plurality of action plans over time by executing an optimization problem for each of the plurality of action plans a number of times.

13 . The system of claim 9 , wherein the processing system is configured to perform the operations comprising determining the plurality of effectiveness values by executing a plurality of optimization algorithms for each of the plurality of action plans, wherein each of the plurality of optimization algorithms uses the same set of input variables.

14 . The system of claim 13 , wherein the plurality of effectiveness values corresponds to a number of a portion of the plurality of optimization algorithms having the same result for an action plan of the plurality of action plans.

15 . The system of claim 13 , wherein the processing system is configured to perform the operations comprising updating an artificial intelligence model representative of a preference of a user based on the selection.

16 . The system of claim 13 , wherein the plurality of 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 expected sustainability parameters associated with one or more enterprise operations of an enterprise over a period of time, 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 the enterprise, or both;

identifying one or more engineering workflow systems of a plurality of engineering workflow systems, 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 plurality of expected sustainability parameters 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 corresponds to one or more sustainability parameters; and

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 plurality of expected sustainability parameters;

receiving a plurality of action plans for the enterprise from the one or more engineering workflow systems, wherein the plurality of action plans corresponds to operational characteristics of a plurality of devices that correspond to the one or more enterprise operations;

receiving one or more sustainability variables associated with the one or more sustainability parameters for the one or more enterprise operations;

simulating a plurality of sustainability variables associated with performing the plurality of action plans over time with respect to the one or more sustainability variables;

determining a plurality of effectiveness values associated with performing the plurality of action plans relative to the one or more sustainability variables;

presenting the plurality of action plans with the plurality of effectiveness values;

receiving a selection of one action plan of the plurality of action plans;

generating one or more commands based on the one action plan; and

adjusting one or more respective operations based on the one or more commands.

18 . The non-transitory computer-readable medium of claim 17 , wherein the one or more sustainability variables is received via user input.

19 . The non-transitory computer-readable medium of claim 17 , wherein the one or more sustainability variables corresponds to one or more updated regulations for the enterprise.

20 . The non-transitory computer-readable medium of claim 17 , wherein the plurality of action plans comprise one or more modifications to the one or more operational tasks, the one or more utility operations, or both.

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 20240403799A1 · Dec 5, 2024
References Cited (96)
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 11915329B2 · Perry · 2024 [cited by examiner]
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 · 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 20210358058A1 · da Mata Cecilio · 2021 [cited by examiner]
US 20210372864A1 · Tao et al. · 2021 [cited by applicant]
US 20210388717A1 · Srinivasan · 2021 [cited by applicant]
US 20210409283A1 · Smith · 2021 [cited by examiner]
US 20220018231A1 · Weatherhead · 2022 [cited by applicant]
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 applicant]
US 20220343433A1 · Yan · 2022 [cited by applicant]
US 20220390137A1 · Wenzel · 2022 [cited by applicant]
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 applicant]
US 20230222388A1 · Cella · 2023 [cited by applicant]
US 20230351300A1 · Nielsen et al. · 2023 [cited by applicant]
US 20230359970A1 · Bachman · 2023 [cited by applicant]
US 20230385299A1 · Al Rasheed et al. · 2023 [cited by applicant]
US 20240019882A1 · Suri · 2024 [cited by applicant]
US 20240067884A1 · Rooney · 2024 [cited by applicant]
US 20240070680A1 · Takawale · 2024 [cited by applicant]
US 20240281826A1 · Mallet · 2024 [cited by applicant]
US 20240393753A1 · Young · 2024 [cited by examiner]
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 20240403893A1 · Menon · 2024 [cited by applicant]
US 20240403894A1 · 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 2009152553A1 · 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]
Lorincz J, Capone A, Wu J. Greener, Energy-Efficient and Sustainable Networks: State-Of-The-Art and New Trends. Sensors (Basel). Nov. 8, 2019;19(22):4864. doi: 10.3390/s19224864. PMID: 31717275; PMCID: PMC6891276. (Year… [cited by examiner]
M. I. Ahmad, “The Sustainability of State-Owned Power Utility Company and the Role of Board of Directors,” 2023 IEEE International Conference on Emerging Trends in Engineering, Sciences and Technology (ICES&T), Bahawalp… [cited by examiner]
“Building Energy Management Systems (BEMS),” in Energy Conservation in Residential, Commercial, and Industrial Facilities , IEEE, 2018, pp. 15-81, doi: 10.1002/9781119422099.ch2. (Year: 2018). [cited by examiner]
G. Thiagarajan, V. Sarangan, R. Suriyanarayanan, P. Sethuraman, A. Sivasubramaniam and A. Yegyanarayanan, “Automating a Building's Carbon Management,” in Computer, vol. 44, No. 1, pp. 24-30, Jan. 2011, doi: 10.1109/MC.2… [cited by examiner]
O. Kiuila, T.F. Rutherford, The cost of reducing CO2 emissions: Integrating abatement technologies into economic modeling, Ecological Economics, vol. 87, 2013, pp. 62-71, ISSN 0921-8009, https://doi.org/10.1016/j.ecolec… [cited by examiner]
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]
Office Action issued in U.S. Appl. No. 18/734,247 dated Oct. 11, 2024, 29 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]