IP Library Granted Patent US 12,619,926
Granted Patent B2
US 12,619,926 · App. 18/734,289 · Granted May 5, 2026

Updating sustainability action plans based on third party 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
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,619,926
App. No.
18/734,289
Filed
Jun 5, 2024
Granted
May 5, 2026
Kind
B2
Art Unit
3623
USPC
705/7.37
Abstract

An enterprise system may include devices that perform respective operations of an enterprise and a sustainability platform system. The sustainability platform system may obtain a sustainability model representative of a state of operations of the enterprise and a current sustainability action plan associated with improving one or more sustainability parameters of the enterprise via one or more abatement technologies. The sustainability platform system may also determine that updated data is available for the abatement technologies and simulate an effect of the action plan on the sustainability parameters based on the updated data. The sustainability platform system may also determine whether the simulated effect of the action plan is effective to cause the sustainability parameters to be within one or more thresholds, and in response to determining that the simulated effect is effective, send commands to the devices to maintain their respective operations according to the current sustainability action plan.

Claims (78)

1 . An enterprise system comprising:

one or more field devices associated with one or more abatement technologies configured to perform one or more respective operations of an enterprise, wherein the one or more respective operations of the enterprise are associated with controlling a flow of hydrocarbons from a subsurface region via one or more pumps, one or more wellheads, one or more artificial lifts, or any combination thereof; and

a sustainability platform system comprising a computer system, wherein the computer system is configured to:

obtain a sustainability model representative of a state of operations of the enterprise;

obtain a currently implemented sustainability action plan associated with improving one or more sustainability parameters of the enterprise via the one or more abatement technologies;

determine that updated data is available for the one or more abatement technologies;

receive the updated data;

simulate an effect of the currently implemented sustainability action plan on the one or more sustainability parameters over a period of time based on the updated data;

determine whether the simulated effect of the currently implemented sustainability action plan is effective to cause the one or more sustainability parameters to be within one or more threshold limits, one or more ranges, or both over the period of time;

in response to determining that the simulated effect of the currently implemented sustainability action plan is effective, send one or more commands to the one or more field devices to maintain the one or more respective operations according to the currently implemented sustainability action plan;

in response to determining that the simulated effect of the currently implemented sustainability action plan is not effective, identify one or more engineering workflow systems of a plurality of engineering workflow systems based on the one or more sustainability parameters, wherein each of the plurality of engineering workflow systems corresponds to a separate computing device relative to the computer system and is configured to independently analyze the sustainability model, and wherein the one or more engineering workflow systems are identified by:

broadcasting a request indicative of the one or more sustainability parameters 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 based on the one or more sustainability parameters, wherein each abatement technology of the list corresponds to a device associated with the one or more respective operations of the enterprise, an operational parameter for an additional device associated with the one or more respective operations of the enterprise, or both;

receive 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 one or more sustainability parameters;

update one or more portions of the sustainability model based on the one or more responses;

obtain an alternate sustainability action plan based on the updated one or more portions of the sustainability model; and

send one or more commands to the one or more field devices to adjust the one or more respective operations according to the alternate sustainability action plan.

2 . The enterprise system of claim 1 , wherein the updated data comprises updated technology parameters corresponding to the one or more abatement technologies, wherein the updated technology parameters comprise respective regional availabilities of the one or more abatement technologies, respective resource costs of the one or more abatement technologies, respective emission reduction potentials of the one or more abatement technologies, respective deployment durations of the one or more abatement technologies, respective times to implement the one or more abatement technologies, or any combination thereof.

3 . The enterprise system of claim 1 , wherein the sustainability platform system is configured to, in response to determining that the simulated effect of the currently implemented sustainability action plan is not effective, provide an indication to supplement or supplant the one or more field devices with one or more other devices according to the alternate sustainability action plan.

4 . The enterprise system of claim 1 , wherein the sustainability platform system is configured to determine that the updated data is available by:

querying one or more data sources for the updated data; and

determining that the updated data has changed by at least a threshold amount compared to a previous iteration of the updated data.

5 . The enterprise system of claim 4 , wherein the sustainability platform system is configured to query the one or more data sources by:

identifying one or more technology parameters associated with the one or more abatement technologies and compatible with the sustainability model; and

querying the one or more data sources for the updated data corresponding to the one or more abatement technologies that comprise respective technology parameters that match the identified one or more technology parameters.

6 . The enterprise system of claim 4 , wherein the sustainability platform system is configured to query the one or more data sources by scraping, via a large language model machine learning algorithm, a catalog, a database, the Internet, or a combination thereof.

7 . The enterprise system of claim 1 , wherein the sustainability platform system is configured to:

generate an updated sustainability model based on the sustainability model and the updated data; and

simulate the effect of the currently implemented sustainability action plan based on the updated data and the updated sustainability model.

8 . The enterprise system of claim 1 , wherein the one or more sustainability parameters comprise a carbon footprint of the one or more field devices, a water usage of the one or more field devices, a waste output of the one or more field devices, a greenhouse gas emission of the one or more field devices, or any combination thereof.

9 . The enterprise system of claim 8 , wherein simulating the effect of the currently implemented sustainability action plan comprises optimizing the one or more respective operations of the one or more field devices with respect to a reduction of the one or more sustainability parameters utilizing the one or more abatement technologies.

10 . A method comprising:

obtaining, via a computing system, a sustainability model representative of a state of operations of an enterprise;

obtaining, via the computing system, a currently implemented sustainability action plan associated with improving one or more sustainability parameters of the enterprise via one or more abatement technologies;

determining, via the computing system, that updated data is available for the one or more abatement technologies;

receiving, via the computing system, the updated data;

simulating, via the computing system, an effect of the currently implemented sustainability action plan on the one or more sustainability parameters over a period of time based on the updated data;

determining, via the computing system, whether the simulated effect of the currently implemented sustainability action plan is effective to cause the one or more sustainability parameters to be within one or more threshold limits, one or more ranges, or both over the period of time;

in response to determining that the simulated effect of the currently implemented sustainability action plan is effective, sending, via the computing system, one or more commands to one or more field devices of the enterprise to maintain one or more respective operations of the one or more field devices according to the currently implemented sustainability action plan, wherein the one or more respective operations are associated with controlling a flow of hydrocarbons from a subsurface region via one or more pumps, one or more wellheads, one or more artificial lifts, or any combination thereof;

in response to determining that the simulated effect of the currently implemented sustainability action plan is not effective, identifying, via the computing system, one or more engineering workflow systems of a plurality of engineering workflow systems based on the one or more sustainability parameters, 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 sustainability model, and wherein the one or more engineering workflow systems are identified by:

broadcasting a request indicative of the one or more sustainability parameters 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 based on the one or more sustainability parameters, wherein each abatement technology of the list corresponds to a device associated with the one or more respective operations of the enterprise, an operational parameter for an additional device associated with the one or more respective operations of the enterprise, or both;

receiving, via the computing system, 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 one or more sustainability parameters;

updating, via the computing system, one or more portions of the sustainability model based on the one or more responses;

obtaining, via the computing system, an alternate sustainability action plan based on the updated one or more portions of the sustainability model; and

sending, via the computing system, one or more commands to the one or more field devices to adjust the one or more respective operations according to the alternate sustainability action plan.

11 . The method of claim 10 , comprising, in response to determining that the simulated effect of the currently implemented sustainability action plan is not effective, provide an indication to supplement or supplant the one or more field devices with one or more other devices of one or more other abatement technologies according to the alternate sustainability action plan.

12 . The method of claim 11 , wherein generating the alternate sustainability action plan comprises

determining, via the identified one or more engineering workflow systems, at least one implementation of the one or more abatement technologies or the one or more other abatement technologies based on an estimated improvement to at least one sustainability parameter of the one or more sustainability parameters, wherein the estimated improvement is based on the sustainability model and the updated data.

13 . The method of claim 10 , wherein determining that the updated data is available comprises:

querying one or more third-party data sources for the updated data; and

determining that the updated data has changed by at least a threshold amount compared to a previous iteration of the updated data.

14 . The method of claim 13 , wherein querying the one or more third-party data sources comprises:

identifying one or more technology parameters associated with the one or more abatement technologies and compatible with the sustainability model; and

querying the one or more third-party data sources for the updated data corresponding to the one or more abatement technologies that comprise respective technology parameters that match the identified one or more technology parameters.

15 . The method of claim 14 , wherein the one or more sustainability parameters comprise a carbon footprint of the one or more field devices, a water usage of the one or more field devices, a waste output of the one or more field devices, a greenhouse gas emission of the one or more field devices, or any combination thereof, and wherein the updated data comprises updated technology parameters corresponding to the one or more abatement technologies, wherein the updated technology parameters comprise respective regional availabilities of the one or more abatement technologies, respective resource costs of the one or more abatement technologies, respective emission reduction potentials of the one or more abatement technologies, respective deployment durations of the one or more abatement technologies, respective times to implement the one or more abatement technologies, or any combination thereof.

16 . The method of claim 10 , comprising generating, via the computing system, an updated sustainability model based on the sustainability model and the updated data, wherein simulating the effect of the currently implemented sustainability action plan comprises simulating the effect of the currently implemented sustainability action plan based on the updated data and the updated sustainability model.

17 . A non-transitory, machine-readable medium comprising instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

obtaining a sustainability model representative of a state of operations of an enterprise;

obtaining a currently implemented sustainability action plan associated with improving one or more sustainability parameters of the enterprise via one or more abatement technologies;

determining that updated data is available for the one or more abatement technologies;

receiving the updated data;

simulating an effect of the currently implemented sustainability action plan on the one or more sustainability parameters over a period of time based on the updated data;

determining whether the simulated effect of the currently implemented sustainability action plan is effective to cause the one or more sustainability parameters to be within one or more threshold limits, one or more ranges, or both over the period of time;

in response to determining that the simulated effect of the currently implemented sustainability action plan is effective, sending one or more commands to one or more field devices of the enterprise to maintain one or more respective operations of the one or more field devices according to the currently implemented sustainability action plan, wherein the one or more respective operations are associated with controlling a flow of hydrocarbons from a subsurface region via one or more pumps, one or more wellheads, one or more artificial lifts, or any combination thereof;

in response to determining that the simulated effect of the currently implemented sustainability action plan is not effective, identifying one or more engineering workflow systems of a plurality of engineering workflow systems based on the one or more sustainability parameters, wherein each of the plurality of engineering workflow systems corresponds to a separate computing device relative to a computing system and is configured to independently analyze the sustainability model, and wherein the one or more engineering workflow systems are identified by:

broadcasting a request indicative of the one or more sustainability parameters 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 based on the one or more sustainability parameters, wherein each abatement technology of the list corresponds to a device associated with the one or more respective operations of the enterprise, an operational parameter for an additional device associated with the one or more respective operations of the enterprise, or both;

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 one or more sustainability parameters;

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

obtaining an alternate sustainability action plan based on the updated one or more portions of the sustainability model; and

sending one or more commands to the one or more field devices to adjust the one or more respective operations according to the alternate sustainability action plan.

18 . The non-transitory, machine-readable medium of claim 17 , wherein determining that the updated data is available comprises:

querying one or more third-party data sources for the updated data; and

determining that the updated data has changed by at least a threshold amount compared to a previous iteration of the updated data.

19 . The non-transitory, machine-readable medium of claim 17 , the operations comprise, in response to determining that the simulated effect of the currently implemented sustainability action plan is not effective, provide an indication to supplement or supplant the one or more field devices with one or more other devices of one or more other abatement technologies according to the alternate sustainability action plan.

20 . The non-transitory, machine-readable medium of claim 19 , wherein generating the alternate sustainability action plan comprises

determining, via the identified one or more engineering workflow systems, at least one implementation of the one or more abatement technologies or the one or more other abatement technologies based on an estimated improvement to at least one sustainability parameter of the one or more sustainability parameters, wherein the estimated improvement is based on the sustainability model and the updated 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 20240403784A1 · Dec 5, 2024
References Cited (115)
US 7584165B2 · Buchan · 2009 [cited by applicant]
US 8321187B2 · Kaufman · 2012 [cited by applicant]
US 9251226B2 · Majumdar · 2016 [cited by applicant]
US 10339478B2 · Grant · 2019 [cited by applicant]
US 10373085B1 · Baghdikian · 2019 [cited by applicant]
US 11542787B2 · Fox · 2023 [cited by applicant]
US 12147920B2 · Fox · 2024 [cited by applicant]
US 20070078692A1 · Vyas · 2007 [cited by applicant]
US 20080077371A1 · Yeten · 2008 [cited by applicant]
US 20080215607A1 · Kaushansky · 2008 [cited by applicant]
US 20100274367A1 · Kaufman · 2010 [cited by applicant]
US 20100274603A1 · Walker · 2010 [cited by applicant]
US 20100274810A1 · Walker · 2010 [cited by applicant]
US 20100275147A1 · Kaufman · 2010 [cited by applicant]
US 20100318200A1 · Foslien · 2010 [cited by applicant]
US 20110061295A1 · McAlister · 2011 [cited by applicant]
US 20110093420A1 · Rothenberg · 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 20140180939A1 · Frankland · 2014 [cited by applicant]
US 20150363730A1 · Crane, Jr. · 2015 [cited by applicant]
US 20160203494A1 · Galligan Davila · 2016 [cited by applicant]
US 20160350778A1 · Levine et al. · 2016 [cited by applicant]
US 20170051681A1 · Arias Chao · 2017 [cited by applicant]
US 20170058656A1 · Benson · 2017 [cited by examiner]
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 20200372588A1 · Shi · 2020 [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 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 20220137580A1 · Burroughs · 2022 [cited by applicant]
US 20220230250A1 · Kawamori · 2022 [cited by applicant]
US 20220243570A1 · Xiao et al. · 2022 [cited by applicant]
US 20220243575A1 · Kristensen · 2022 [cited by applicant]
US 20220284519A1 · Pancholi et al. · 2022 [cited by applicant]
US 20220325887A1 · Wang et al. · 2022 [cited by applicant]
US 20220343433A1 · Yan · 2022 [cited by applicant]
US 20220404050A1 · Chang et al. · 2022 [cited by applicant]
US 20220405590A1 · Hebets · 2022 [cited by applicant]
US 20230020417A1 · ElBsat · 2023 [cited by applicant]
US 20230071867A1 · Ramanathan · 2023 [cited by applicant]
US 20230085641A1 · Jones et al. · 2023 [cited by applicant]
US 20230089850A1 · Zhu · 2023 [cited by applicant]
US 20230152763A1 · Davis et al. · 2023 [cited by applicant]
US 20230222388A1 · Cella · 2023 [cited by applicant]
US 20230236560A1 · Lee · 2023 [cited by applicant]
US 20230289911A1 · Freier · 2023 [cited by applicant]
US 20230350387A1 · Davis · 2023 [cited by applicant]
US 20230351300A1 · Nielsen · 2023 [cited by examiner]
US 20230385299A1 · Al Rasheed et al. · 2023 [cited by applicant]
US 20240003244A1 · Debs · 2024 [cited by applicant]
US 20240067884A1 · Rooney · 2024 [cited by applicant]
US 20240070680A1 · Takawale et al. · 2024 [cited by applicant]
US 20240281826A1 · Mallet · 2024 [cited by applicant]
US 20240311733A1 · Ibanez · 2024 [cited by applicant]
US 20240362404A1 · Von Raees · 2024 [cited by applicant]
US 20240403776A1 · Krishna · 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 20240403785A1 · Menon · 2024 [cited by applicant]
US 20240403786A1 · Menon · 2024 [cited by applicant]
US 20240403787A1 · Menon · 2024 [cited by applicant]
US 20240403788A1 · Menon · 2024 [cited by applicant]
US 20240403789A1 · Menon · 2024 [cited by applicant]
US 20240403892A1 · Pomerantz · 2024 [cited by applicant]
US 20240403893A1 · Menon · 2024 [cited by applicant]
US 20250086660A1 · Pattanavekin · 2025 [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 101993366 · 2019 [cited by applicant]
TW 202309816A · 2023 [cited by applicant]
WO 2009152553A9 · 2009 [cited by applicant]
WO 2016196351 · 2016 [cited by applicant]
WO 2018132840A1 · 2018 [cited by applicant]
WO 2020023998A1 · 2020 [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]
WO 2023178071A1 · 2023 [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/US2024/032479 on Sep. 30, 2024; 10 pages. [cited by applicant]
International Search Report and Written Opinion issued in International Patent Appl. No. PCT/US2024/032480 on Sep. 24, 2024; 10 pages. [cited by applicant]
International Search Report and Written Opinion issued in International Patent Appl. No. PCT/US2024/032481 on Sep. 24, 2024; 11 pages. [cited by applicant]
International Search Report and Written Opinion issued in International Patent Appl. No. PCT/US2024/032485 on Oct. 2, 2024; 11 pages. [cited by applicant]
Lee Si-Hyeoung, “An uncertainty estimation method for the emission factors of Korean greenhouse gas emission inventory” [online], Feb. 2015, [retrieved on Jan. 15, 2025], Retrieved from the Internet: URL: https://www.ri… [cited by applicant]
International Search Report and Written Opinion issued in International Patent Appl. No. PCT/US2024/032486 on Sep. 30, 2024; 10 pages. [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]
Sipola, J. et al., “Adopting artificial intelligence in sustainable business”, Journal of Cleaner Production, 2023, 426, 8 pages. [cited by applicant]
Tetteh, E. K. et al., “Emerging carbon abatement technologies to mitigate energy-carbon footprint—a review”, Cleaner Materials, 2021, 2, 15 pages. [cited by applicant]