Optimizing sustainability parameters with action plans for an enterprise
A method may include receiving a sustainability model indicative of expected sustainability parameters associated with implementing action plans that correspond to enterprise operations of an enterprise over a period of time, such that the enterprise operations correspond to production data performed in a hydrocarbon production system, facility data corresponding to buildings associated with the enterprise, or both. The method may also include receiving an indication to optimize one sustainability parameter and identifying an engineering workflow system that improves a first sustainability parameter associated with the one sustainability parameter. The method may involve sending the sustainability model to the engineering workflow system and receiving an action plan to improve the sustainability parameter, such that commands may be sent to devices based on the action plan to cause the one or more devices to adjust one or more respective operations.
1 . A method comprising:
receiving, via a computing system, a sustainability model indicative of a plurality of expected sustainability parameters associated with implementing one or more action plans via a plurality of devices that correspond to 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 with regard to extracting hydrocarbons from a subsurface region of the earth as part of a hydrocarbon production system, facility data corresponding to one or more utility operations within one or more buildings associated with the enterprise, or both;
receiving, via the computing system, an indication to optimize a first sustainability parameter of the plurality of expected sustainability parameters;
identifying, via the computing system, at least one of a plurality of engineering workflow systems configured to improve the first sustainability parameter, 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 with respect to at least one of the plurality of expected sustainability parameters, and wherein the at least one plurality of engineering workflow systems is identified by:
broadcasting a request indicative of the first sustainability parameter 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 based on the first sustainability parameter to identify the at least one of the plurality of engineering workflow systems for modifying the first sustainability parameter, wherein each abatement technology of the list corresponds to a device associated with the one or more enterprise operations, an operational parameter for an additional device associated with the one or more enterprise operations, or both for modifying a respective sustainability parameter of the plurality of expected sustainability parameters; and
receiving at least one response to the request 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 at least one response based on an association between a respective abatement technology of the at least one of the plurality of engineering workflow systems and the first sustainability parameter;
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 first sustainability parameter of the plurality of expected sustainability parameters; and
sending, via the computing system, one or more commands to one or more well devices of the plurality of devices, one or more building devices of the plurality of devices, or both based on the action plan, wherein the one or more commands are configured to:
cause the one or more well devices to adjust one or more flow rates of hydrocarbons being extracted from the subsurface region; or
cause the one or more building devices to adjust one or more operational schedules associated with providing electricity or water to the one or more buildings; or
both in response to receiving the one or more commands.
2 . The method of claim 1 , wherein the indication is received based on detecting an increase in greenhouse gas (GHG) emissions.
3 . The method of claim 1 , wherein the indication is received via a user input.
4 . The method of claim 1 , wherein the first sustainability parameter of the plurality of expected sustainability parameters comprises carbon dioxide equivalent (CO 2 e), Carbon dioxide, Methane, Nitrous oxide, Halogenated gases, Nitrogen oxides, or any combination thereof.
5 . The method of claim 1 , wherein the first sustainability parameter of the plurality of expected sustainability parameters comprises raw material costs, utility costs, or both associated with the one or more enterprise operations.
6 . The method of claim 1 , wherein the indication is received via an artificial intelligence (AI) model configured to identify the first sustainability parameter of the plurality of expected sustainability parameters based on external data.
7 . The method of claim 6 , wherein the AI model corresponds to a natural language processing model associated with legislation of sustainability parameters.
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 a sustainability model indicative of a plurality of expected sustainability parameters associated with implementing one or more action plans via a plurality of devices that correspond to 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 with regard to extracting hydrocarbons from a subsurface region of the earth as part of the production system, facility data corresponding to one or more utility operations within the plurality of buildings, or both;
receiving an indication to optimize a first sustainability parameter of the plurality of expected sustainability parameters;
identifying at least one of a plurality of engineering workflow systems configured to improve the first sustainability parameter, 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 with respect to at least one of the plurality of expected sustainability parameters, and wherein the at least one plurality of engineering workflow systems is identified by:
broadcasting a request indicative of the first sustainability parameter 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 based on the first sustainability parameter to identify the at least one of the plurality of engineering workflow systems for modifying the first sustainability parameter, wherein each abatement technology of the list corresponds to a device associated with the one or more enterprise operations, an operational parameter for an additional device associated with the one or more enterprise operations, or both for modifying a respective sustainability parameter of the plurality of expected sustainability parameters; and
receiving at least one response to the request 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 at least one response based on an association between a respective abatement technology of the at least one of the plurality of engineering workflow systems and the first sustainability parameter;
sending the sustainability model to the at least one of the plurality of engineering workflow systems;
receiving an action plan to improve the first sustainability parameter of the plurality of expected sustainability parameters; and
sending one or more commands to one or more well devices of the plurality of devices, one or more building devices of the plurality of devices, or both based on the action plan, wherein the one or more commands are configured to:
cause the one or more well devices to adjust one or more flow rates of hydrocarbons being extracted from the subsurface region; or
cause the one or more building devices to adjust one or more operational schedules associated with providing electricity or water to the plurality of buildings; or
both in response to receiving the one or more commands.
10 . The system of claim 9 , wherein the indication is received based on detecting an increase in greenhouse gas (GHG) emissions.
11 . The system of claim 9 , wherein the indication is received via a user input.
12 . The system of claim 9 , wherein the first sustainability parameter of the plurality of expected sustainability parameters comprises carbon dioxide equivalent (CO 2 e), Carbon dioxide, Methane, Nitrous oxide, Halogenated gases, Nitrogen oxides, or any combination thereof.
13 . The system of claim 9 , wherein the first sustainability parameter of the plurality of expected sustainability parameters comprises raw material costs, utility costs, or both associated with the one or more enterprise operations.
14 . The system of claim 9 , wherein the indication is received via an artificial intelligence (AI) model configured to identify the first sustainability parameter of the plurality of expected sustainability parameters based on external data.
15 . The system of claim 14 , wherein the AI model corresponds to a natural language processing model associated with legislation of sustainability parameters.
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 expected sustainability parameters associated with implementing one or more action plans via a plurality of devices that correspond to 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 with regard to extracting hydrocarbons from a subsurface region of the earth as part of a production system, facility data corresponding to one or more utility operations within a plurality of buildings, or both;
receiving an indication to optimize a first sustainability parameter of the plurality of expected sustainability parameters;
identifying at least one of a plurality of engineering workflow systems configured to improve the first sustainability parameter, 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 with respect to at least one of the plurality of expected sustainability parameters, and wherein the at least one plurality of engineering workflow systems is identified by:
broadcasting a request indicative of the first sustainability parameter 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 based on the first sustainability parameter to identify the at least one of the plurality of engineering workflow systems for modifying the first sustainability parameter, wherein each abatement technology of the list corresponds to a device associated with the one or more enterprise operations, an operational parameter for an additional device associated with the one or more enterprise operations, or both for modifying a respective sustainability parameter of the plurality of expected sustainability parameters; and
receiving at least one response to the request 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 at least one response based on an association between a respective abatement technology of the at least one of the plurality of engineering workflow systems and the first sustainability parameter;
sending the sustainability model to the at least one of the plurality of engineering workflow systems;
receiving an action plan to improve the first sustainability parameter of the plurality of expected sustainability parameters; and
sending one or more commands to one or more well devices of the plurality of devices, one or more building devices of the plurality of devices, or both based on the action plan, wherein the one or more commands are configured to:
cause the one or more well devices to adjust one or more flow rates of hydrocarbons being extracted from the subsurface region; or
cause the one or more building devices to adjust one or more operational schedules associated with providing electricity or water to the plurality of buildings; or
both in response to receiving the one or more commands.
18 . The non-transitory computer-readable medium of claim 17 , wherein the indication is received via an artificial intelligence (AI) model configured to identify the first sustainability parameter of the plurality of expected sustainability parameters based on external data.
19 . The non-transitory computer-readable medium of claim 18 , wherein the AI model corresponds to a natural language processing model associated with legislation of sustainability parameters.
20 . The non-transitory computer-readable medium of claim 17 , 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.