Low-carbon management method and system for offshore oil and gas engineering project

Abstract

The invention discloses a low-carbon management method and system for an offshore oil and gas engineering project, and the method comprises the following steps: arranging engineering projects through serial numbers, carrying out the real-time collection and calculation of the carbon emission data of the sorted engineering projects, generating a low-carbon management decision through the combination of the carbon emission data, and carrying out the calculation of the low-carbon management decision. Judging whether the carbon emission data of the engineering project corresponding to the serial number is abnormal or not; working information of engineering projects with different serial numbers is communicated, a low-carbon management decision is promoted in a cross-department cooperation mode, and whether the low-carbon management decision is feasible or not is predicted in real time according to the cooperation promotion state; predicting whether the low-carbon management decision continuously meets the low-carbon management requirement or not according to the construction state and period of the engineering project of the corresponding sequence number, and early warning the feasibility of the construction state of the engineering project of the corresponding sequence number; and when the construction state of the engineering project with the corresponding sequence number is not feasible, the construction state and low-carbon management decision of the engineering project with the corresponding sequence number are adjusted in real time according to the game theory, and the low-carbon management which is full-process high-precision and can be cooperated and win-win is realized.

Description

Technical Field

[0001] This invention belongs to the field of low-carbon management technology, and in particular relates to a low-carbon management method and system for marine oil and gas engineering projects. Background Technology

[0002] Offshore oil and gas engineering projects encompass a series of projects involving the development, design, manufacturing, and installation of offshore oil and gas. These projects are characterized by long construction periods, complex inter-departmental collaboration, and numerous carbon emission points. Low-carbon management is a crucial aspect of achieving the "dual carbon" (carbon dioxide, carbon emissions, and carbon sequestration) goals. Current technologies for low-carbon management in offshore oil and gas engineering projects face the following challenges: 1. Although CNOOC Engineering has established a dual-carbon digital platform that enables real-time monitoring and management of carbon emission data, there is a monitoring lag in the comprehensiveness, accuracy and timeliness of carbon emission data. Some units or projects may have problems with incomplete carbon emission data collection and inaccurate accounting, resulting in insufficient basis for low-carbon management decisions and affecting the accuracy of low-carbon management. 2. The work of different departments in offshore oil and gas engineering projects is different, especially in terms of cross-departmental collaboration mechanisms, which makes it difficult to effectively promote some low-carbon management work, cannot guarantee the feasibility of low-carbon management work, and causes deviations in the implementation of low-carbon management work. 3. As offshore oil and gas engineering projects are continuous and uninterrupted, the construction process may change. Low-carbon management cannot predict in advance whether the low-carbon management requirements will be met based on the construction status of the project, which affects the feasibility of the project construction. 4. When there is a conflict between offshore oil and gas engineering projects and low-carbon management decisions, it is impossible to adjust the project construction and low-carbon management in a timely manner to achieve a win-win situation, resulting in limitations in the low-carbon management of the project.

[0003] Therefore, there is an urgent need to design a low-carbon management method and system for offshore oil and gas engineering projects to solve the above problems. Summary of the Invention

[0004] The purpose of this invention is to provide a low-carbon management method and system for marine oil and gas engineering projects, so as to achieve low-carbon management that is comprehensive, precise, collaborative, and mutually beneficial.

[0005] To achieve the above objectives, the specific technical solution of the low-carbon management method and system for offshore oil and gas engineering projects of the present invention is as follows: A low-carbon management method for offshore oil and gas engineering projects includes the following steps: After the engineering projects are arranged by serial number, the carbon emission data of the sorted engineering projects are collected and calculated in real time. The carbon emission data is combined to generate low-carbon management decisions and to determine whether the carbon emission data of the engineering projects with the corresponding serial numbers are abnormal. The system connects the work information of engineering projects with different serial numbers, promotes the low-carbon management decision-making across departments, and predicts the feasibility of the low-carbon management decision-making in real time based on the collaborative progress status. Based on the construction status and cycle of the corresponding project number, predict whether the low-carbon management decision can continuously meet the low-carbon management requirements, and provide early warning of the feasibility of the construction status of the corresponding project number. When the construction status of the corresponding project number is not feasible, the construction status and low-carbon management decisions of the corresponding project number are adjusted in real time according to game theory.

[0006] Furthermore, the carbon emission data generated by the engineering projects corresponding to the sorted serial numbers are calculated in real time using the following formula:

[0007] in, i This refers to the serial number corresponding to the engineering project. i =1,2,3,... n , n For the number of engineering projects, c This refers to the serial number of the carbon emission data for the corresponding engineering project. c =1,2,3,…, m 0, m 0 represents the total number of serial numbers for carbon emission data. For the first i Carbon emission data generated by the engineering project.

[0008] Furthermore, generating low-carbon management decisions based on the carbon emission data and determining whether the carbon emission data for the corresponding project number is abnormal includes the following steps: Set standard carbon emission data for engineering projects with corresponding serial numbers, calculate the difference between the real-time carbon emission data and the standard carbon emission data for the engineering projects with corresponding serial numbers, and if the difference is greater than 0, it indicates that the carbon emission data of the engineering projects with corresponding serial numbers is abnormal. In the event of data anomalies, when the difference is ≥3, the difference will be divided into three equal low-carbon management decision values, and the low-carbon management decision will be repeated three times. When the difference is less than 3, a low-carbon management decision is made based on the difference.

[0009] Furthermore, predicting the feasibility of the low-carbon management decision includes the following steps: The standard deviation of the economic benefits of low-carbon management decisions for the corresponding engineering projects is calculated and presented below:

[0010] in, The standard deviation of the economic benefits of low-carbon management decisions for the corresponding engineering projects is given. μ The average economic benefit of making low-carbon management decisions for the corresponding engineering projects. For the project with the corresponding serial number k Economic benefit data for making low-carbon management decisions during a given period. N The number of economic benefit data points for making low-carbon management decisions for the corresponding engineering projects. If ≤0, the collaborative propulsion state is abnormal; The average of the standard deviations of the economic benefits for setting low-carbon management decisions for engineering projects with corresponding serial numbers. Using days as the period, calculate the average of the standard deviations of the economic benefits of low-carbon management decisions for the corresponding serial numbers of the engineering projects over three periods. , If so, then the low-carbon management decision for the corresponding project number in the next cycle is feasible.

[0011] Furthermore, based on the current status and cycle of the corresponding project number, predicting whether the low-carbon management decision will continue to meet the low-carbon management requirements, and providing an early warning on the feasibility of constructing the corresponding project number includes the following steps: Set the standard low-carbon management requirements for engineering projects with corresponding serial numbers, and calculate the average difference between the real-time carbon emission data and the standard low-carbon management requirements for the corresponding engineering projects over three periods, on an hourly basis. , Determine whether the engineering projects with the corresponding serial numbers continuously meet the requirements for low-carbon management. The construction status of the corresponding project number is determined to be infeasible and an early warning is issued.

[0012] Furthermore, when the construction status of the corresponding project number is infeasible, the infeasibility risk of the corresponding project number is quantified by the following formula:

[0013] in, R This is the risk value. P For the probability of the event occurring, L The impact of the event P and R It is directly proportional.

[0014] Furthermore, adjusting the construction status and low-carbon management decisions of the corresponding process number of the engineering project in real time according to game theory includes the following steps: By obtaining the project objectives of the corresponding numbered engineering projects, we can obtain the benefit requirements of the corresponding numbered engineering projects. By obtaining the benefit requirements of low-carbon management decisions, we can obtain the benefit requirements of low-carbon management decisions. This generates a numbered report of the benefit requirements of the corresponding numbered engineering projects and the benefit requirements of low-carbon management. Based on the infeasibility risk of the corresponding engineering project, the sequenced report of the benefit demand of the corresponding engineering project and the benefit demand of low-carbon management is adjusted using the Nash equilibrium point calculation formula to match the optimal adjustment combination of the corresponding engineering project and low-carbon management decision. The system automatically adjusts the construction data and low-carbon management decisions of the corresponding engineering projects based on the optimal adjustment combination, and tracks the construction data and low-carbon management decisions of the corresponding engineering projects in real time.

[0015] A low-carbon management system for offshore oil and gas engineering projects, employing the aforementioned low-carbon management method for offshore oil and gas engineering projects, includes: a dual-carbon monitoring terminal, a collaborative execution terminal, a project tracking terminal, and a project game terminal; The dual-carbon monitoring terminal, the collaborative execution terminal, the project tracking terminal, and the project game terminal are electrically connected; The dual-carbon monitoring terminal includes a carbon emission collection unit, a low-carbon management unit, and an anomaly warning unit. The carbon emission collection unit is used to calculate the carbon emission data generated by the engineering projects with corresponding serial numbers in real time after sorting. The low-carbon management unit is used to generate low-carbon management decisions based on the difference between the real-time carbon emission data and the standard carbon emission data of the engineering projects with corresponding serial numbers, and in combination with the difference between the real-time carbon emission data and the standard carbon emission data. The anomaly warning unit provides an anomaly warning for carbon emission data based on the difference between the real-time carbon emission data and the standard carbon emission data of the engineering projects with corresponding serial numbers. The collaborative execution terminal includes a collaborative prediction unit, which is used to predict whether the low-carbon management decision is feasible. The project tracking terminal includes a project prediction unit, which is used to predict whether the low-carbon management decision will continue to meet the low-carbon management requirements based on the current status and cycle of the corresponding sequence number of the engineering project, and to provide early warning of the feasibility of the construction of the corresponding sequence number of the engineering project. The project game theory unit includes a game model unit, a project matching unit, and a game adjustment unit. The game model unit is used to generate a numbered report of the benefit requirements of the corresponding engineering projects and the benefit requirements of low-carbon management. The project matching unit is used to quantify the infeasibility risk of the corresponding engineering projects. The game adjustment unit is used to adjust the numbered report of the benefit requirements of the corresponding engineering projects and the benefit requirements of low-carbon management based on the infeasibility risk of the corresponding engineering projects and the Nash equilibrium point calculation formula, and to match the optimal adjustment combination of the corresponding engineering projects and low-carbon management decisions.

[0016] Furthermore, the dual-carbon monitoring terminal also includes a dual-carbon geographic information system presentation unit, which is used to dynamically present the terrain and personnel distribution heat map of the corresponding engineering project through the geographic information system.

[0017] Furthermore, the project game end also includes a project adjustment unit and a low-carbon adjustment unit. The project adjustment unit is used to automatically adjust the construction data of the corresponding sequence number of the project according to the optimal adjustment combination, and the low-carbon adjustment unit is used to automatically adjust the low-carbon management decision of the corresponding sequence number of the project according to the optimal adjustment combination.

[0018] The low-carbon management method and system for offshore oil and gas engineering projects of the present invention have the following advantages: 1. By setting up dual carbon monitoring terminals, when conducting low-carbon management of offshore oil and gas engineering projects, a low-carbon management decision model can be automatically generated from carbon emission data, and the carbon emission data of the corresponding engineering projects can be judged in real time to see if there are any abnormalities. This can avoid the problem that some units or projects may have incomplete carbon emission data collection and inaccurate accounting, ensure the sufficiency of the basis for low-carbon management decisions, and improve the accuracy of low-carbon management.

[0019] 2. By setting up a collaborative execution terminal, when carrying out low-carbon management of offshore oil and gas engineering projects, the feasibility of low-carbon management work can be predicted in real time based on the collaborative progress status. This enables the work information of engineering project departments to be interconnected, allowing low-carbon management work to be effectively promoted in different engineering projects and avoiding deviations in the execution of low-carbon management work.

[0020] 3. By setting up a project tracking terminal, when conducting low-carbon management of offshore oil and gas engineering projects, the real-time status of the project is collected in real time. Based on the current status of the project and the project cycle, it is predicted whether the low-carbon management decisions will continuously meet the low-carbon management requirements. The feasibility of the project construction is predicted in advance, so that the project can predict whether it will meet the low-carbon management requirements in advance based on the construction status of the project, and ensure the feasibility of the project construction under the low-carbon management decision.

[0021] 4. By setting up a game theory framework for the project, when there is a conflict between the construction status of the project and the low-carbon management decision during the low-carbon management of offshore oil and gas engineering projects, game theory can be used to adjust the construction status and low-carbon management decision in real time to achieve a win-win situation while ensuring the minimum loss of both the project and the low-carbon management. This reduces the limitations of the low-carbon management decision and increases the safety and reliability of the project's low-carbon management. Attached Figure Description

[0022] Figure 1 A flowchart of the low-carbon management method for offshore oil and gas engineering projects according to the present invention; Figure 2 This is a schematic diagram of the working principle of the dual-carbon monitoring terminal of the low-carbon management system for marine oil and gas engineering projects according to the present invention. Figure 3 This is a schematic diagram of the working principle of the collaborative execution end of the low-carbon management system for marine oil and gas engineering projects according to the present invention. Figure 4 This is a schematic diagram of the working principle of the project tracking terminal of the low-carbon management system for offshore oil and gas engineering projects according to the present invention. Figure 5 This is a schematic diagram illustrating the working principle of the project game end of the low-carbon management system for offshore oil and gas engineering projects according to the present invention. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] Those skilled in the art will understand that although some embodiments herein include certain features included in other embodiments but not others, combinations of features from different embodiments are intended to be within the scope of the invention and form different embodiments. For example, in the claims, any of the claimed embodiments can be used in any combination.

[0025] The following reference Figures 1 to 5 This invention describes a low-carbon management method and system for offshore oil and gas engineering projects.

[0026] A low-carbon management method for offshore oil and gas engineering projects, such as Figure 1 As shown, the low-carbon management method for offshore oil and gas engineering projects includes the following steps: After the engineering projects are arranged by serial number, the carbon emission data of the sorted engineering projects are collected and calculated in real time. The carbon emission data is combined to generate low-carbon management decisions and to determine whether the carbon emission data of the engineering projects with the corresponding serial numbers are abnormal. The system connects the work information of engineering projects with different serial numbers, promotes the low-carbon management decision-making across departments, and predicts the feasibility of the low-carbon management decision-making in real time based on the collaborative progress status. Based on the construction status and cycle of the corresponding project number, predict whether the low-carbon management decision can continuously meet the low-carbon management requirements, and provide early warning of the feasibility of the construction status of the corresponding project number. When the construction status of the corresponding project number is not feasible, the construction status and low-carbon management decisions of the corresponding project number are adjusted in real time according to game theory.

[0027] Furthermore, the carbon emission data generated by the engineering projects corresponding to the sorted serial numbers are calculated in real time using the following formula:

[0028] in, i This refers to the serial number corresponding to the engineering project. i =1,2,3,... n , n For the number of engineering projects, c This refers to the serial number of the carbon emission data for the corresponding engineering project. c =1,2,3,…, m 0, m 0 represents the total number of serial numbers for carbon emission data. For the first i Carbon emission data generated by the engineering project.

[0029] Furthermore, generating low-carbon management decisions based on the carbon emission data and determining whether the carbon emission data for the corresponding project number is abnormal includes the following steps: Set standard carbon emission data for engineering projects with corresponding serial numbers, calculate the difference between the real-time carbon emission data and the standard carbon emission data for the engineering projects with corresponding serial numbers, and if the difference is greater than 0, it indicates that the carbon emission data of the engineering projects with corresponding serial numbers is abnormal. In the event of data anomalies, when the difference is ≥3, the difference will be divided into three equal low-carbon management decision values, and the low-carbon management decision will be repeated three times. When the difference is less than 3, a low-carbon management decision is made based on the difference.

[0030] Specifically, under normal circumstances, carbon emission data is incorporated into the data as historical data for iterative updates in order to improve data accuracy.

[0031] Furthermore, predicting the feasibility of the low-carbon management decision includes the following steps: The standard deviation of the economic benefits of low-carbon management decisions for the corresponding engineering projects is calculated and presented below:

[0032] in, The standard deviation of the economic benefits of low-carbon management decisions for the corresponding engineering projects is given. μ The average economic benefit of making low-carbon management decisions for the corresponding engineering projects. For the project with the corresponding serial number kEconomic benefit data for making low-carbon management decisions during a given period. N The number of economic benefit data points for making low-carbon management decisions for the corresponding engineering projects. If ≤0, the collaborative propulsion state is abnormal; The average of the standard deviations of the economic benefits for setting low-carbon management decisions for engineering projects with corresponding serial numbers. Using days as the period, calculate the average of the standard deviations of the economic benefits of low-carbon management decisions for the corresponding serial numbers of the engineering projects over three periods. , If so, then the low-carbon management decision for the corresponding project number in the next cycle is feasible.

[0033] Furthermore, based on the current status and cycle of the corresponding project number, predicting whether the low-carbon management decision will continue to meet the low-carbon management requirements, and providing an early warning on the feasibility of constructing the corresponding project number includes the following steps: Set the standard low-carbon management requirements for engineering projects with corresponding serial numbers, and calculate the average difference between the real-time carbon emission data and the standard low-carbon management requirements for the corresponding engineering projects over three periods, on an hourly basis. , Determine whether the engineering projects with the corresponding serial numbers continuously meet the requirements for low-carbon management. The construction status of the corresponding project number is determined to be infeasible and an early warning is issued.

[0034] Furthermore, when the construction status of the corresponding project number is infeasible, the infeasibility risk of the corresponding project number is quantified by the following formula:

[0035] in, R This is the risk value. P For the probability of the event occurring, L The impact of the event P and R It is directly proportional.

[0036] Furthermore, adjusting the construction status and low-carbon management decisions of the corresponding process number of the engineering project in real time according to game theory includes the following steps: By obtaining the project objectives of the corresponding numbered engineering projects, we can obtain the benefit requirements of the corresponding numbered engineering projects. By obtaining the benefit requirements of low-carbon management decisions, we can obtain the benefit requirements of low-carbon management decisions. This generates a numbered report of the benefit requirements of the corresponding numbered engineering projects and the benefit requirements of low-carbon management. Based on the infeasibility risk of the corresponding engineering project, the sequenced report of the benefit demand of the corresponding engineering project and the benefit demand of low-carbon management is adjusted using the Nash equilibrium point calculation formula to match the optimal adjustment combination of the corresponding engineering project and low-carbon management decision. The system automatically adjusts the construction data and low-carbon management decisions of the corresponding engineering projects based on the optimal adjustment combination, and tracks the construction data and low-carbon management decisions of the corresponding engineering projects in real time.

[0037] Specifically, using the Nash equilibrium point calculation formula, the sequenced reports of the benefit demands of engineering projects and the benefit demands of low-carbon management for the corresponding sequence numbers are adjusted to match the optimal adjustment combination of engineering projects and low-carbon management decisions for the corresponding sequence numbers. The calculation formula is as follows:

[0038] in, and These refer to the project's benefit needs and the limited benefit needs of low-carbon management, respectively, for the corresponding serial numbers. x This represents the interest requirement sequence number of the corresponding engineering project. y The sequence number represents the interests and needs of low-carbon management decisions. Indicates the first of the corresponding engineering projects x Individual interests and needs The first step in low-carbon management decision-making y Individual interests, Then it is called This corresponds to the Nash equilibrium of engineering projects and low-carbon management decisions.

[0039] A low-carbon management system for offshore oil and gas engineering projects, employing the aforementioned low-carbon management methods for offshore oil and gas engineering projects, such as... Figures 2-5 As shown, the low-carbon management system for offshore oil and gas engineering projects includes: a dual-carbon monitoring terminal, a collaborative execution terminal, a project tracking terminal, and a project negotiation terminal; The dual-carbon monitoring terminal, the collaborative execution terminal, the project tracking terminal, and the project game terminal are electrically connected; The dual-carbon monitoring terminal includes a carbon emission collection unit, a low-carbon management unit, and an anomaly warning unit. The carbon emission collection unit is used to calculate the carbon emission data generated by the engineering projects with corresponding serial numbers in real time after sorting. The low-carbon management unit is used to generate low-carbon management decisions based on the difference between the real-time carbon emission data and the standard carbon emission data of the engineering projects with corresponding serial numbers, and in combination with the difference between the real-time carbon emission data and the standard carbon emission data. The anomaly warning unit provides an anomaly warning for carbon emission data based on the difference between the real-time carbon emission data and the standard carbon emission data of the engineering projects with corresponding serial numbers. The collaborative execution terminal includes a collaborative prediction unit, which is used to predict whether the low-carbon management decision is feasible. The project tracking terminal includes a project prediction unit, which is used to predict whether the low-carbon management decision will continue to meet the low-carbon management requirements based on the current status and cycle of the corresponding sequence number of the engineering project, and to provide early warning of the feasibility of the construction of the corresponding sequence number of the engineering project. The project game theory unit includes a game model unit, a project matching unit, and a game adjustment unit. The game model unit generates a numbered report of the benefit requirements of engineering projects and the benefit requirements of low-carbon management for each corresponding number. The project matching unit automatically matches different engineering projects according to the number and calculates the infeasibility risk of the corresponding engineering project in real time. The game adjustment unit adjusts the numbered report of the benefit requirements of engineering projects and the benefit requirements of low-carbon management for each corresponding number based on the infeasibility risk of the corresponding engineering project and the Nash equilibrium point calculation formula, matching the optimal adjustment combination of engineering projects and low-carbon management decisions for each corresponding number.

[0040] Specifically, the dual-carbon monitoring terminal also includes a project sorting unit, a standard low-carbon unit, and a project comparison unit. The project sorting unit is used to rank the marine oil and gas engineering projects by number. The standard low-carbon unit is used to set standard carbon emission data and a standard low-carbon management decision model. The standard low-carbon management decision model is set according to the standard carbon emission data of different marine oil and gas engineering projects. The project comparison unit is used to calculate the difference between the real-time carbon emission data and the standard carbon emission data of the corresponding numbered engineering project.

[0041] Specifically, the low-carbon management system for offshore oil and gas engineering projects also includes a control terminal, wherein the dual-carbon monitoring terminal, the collaborative execution terminal, the project tracking terminal, and the project game terminal are all electrically connected to the control terminal.

[0042] Specifically, when the difference between the real-time carbon emission data and the standard carbon emission data of the corresponding project number is greater than 0, the anomaly warning unit will upload the real-time carbon emission data to the control terminal and issue a voice alarm reminder.

[0043] Specifically, the collaborative execution terminal also includes a work connection unit, a work collaboration unit, and a mutual supervision unit. The work connection unit is used to connect engineering project work through the Work-tile platform, realizing integrated project management, instant communication, task management, calendar scheduling, enterprise cloud storage, work reporting, approval applications, target management, OKR management, and data security for low-carbon management decisions. The work collaboration unit is used to combine project management and target management of corresponding engineering projects, highlight low-carbon management decision objectives across departments based on the project implementation status of different engineering projects, quantify low-carbon management decision results, and achieve collaborative promotion of low-carbon management decisions. The mutual supervision unit is used to enable real-time communication, coordination, and mutual supervision among staff of different engineering projects based on real-time carbon emission data, collaboratively promote low-carbon management work, and predict the feasibility of low-carbon management work in real time based on the collaborative promotion status, so as to connect the work information of different engineering project departments.

[0044] Specifically, the project tracking terminal also includes a project progress unit, a project cycle unit, a decision setting unit, and a feasibility determination unit. The project progress unit is equipped with data acquisition, which collects the implementation progress of different engineering projects in real time through a data acquisition device. The project cycle unit is used to set the completion cycle of different engineering projects, predict whether the low-carbon management decision will continuously meet the low-carbon management requirements based on the current status of the engineering project and the project cycle, and provide early warning of the feasibility of the engineering project construction. The decision setting unit is used to report to the control terminal when it is predicted that the low-carbon management decision will not continuously meet the low-carbon management requirements, and re-match the low-carbon management decision based on the carbon emission data calculated at the current time. The feasibility determination unit is used to determine whether the corresponding engineering project meets the low-carbon management requirements based on the prediction results. If the average value is greater than or equal to -0.5 and less than or equal to 0.5, it indicates that the corresponding engineering project is feasible. If the average value is less than -0.5 or greater than 0.5, it is determined that the corresponding engineering project is not feasible, and the control terminal is notified to issue an early warning reminder for the corresponding project number.

[0045] Specifically, the project game end also includes a judgment receiving unit and a win-win model unit. The judgment receiving unit includes a data receiver, which receives in real time the judgment results of the corresponding engineering projects and the prediction results of low-carbon management decisions.

[0046] Furthermore, such as Figure 2 As shown, the dual-carbon monitoring terminal also includes a dual-carbon geographic information system presentation unit (dual-carbon GIS presentation unit), which is used to dynamically present the terrain and personnel distribution heat map of the corresponding engineering project through the geographic information system.

[0047] Specifically, the dual-carbon GIS presentation unit is used to analyze the terrain and personnel distribution of the corresponding engineering projects using GIS technology, and to present the terrain and personnel distribution in real time on a computer page using color coding.

[0048] Furthermore, such as Figure 5 As shown, the project game terminal also includes a project adjustment unit and a low-carbon adjustment unit. The project adjustment unit is used to automatically adjust the construction data of the corresponding sequence number of the project according to the optimal adjustment combination, and the low-carbon adjustment unit is used to automatically adjust the low-carbon management decision of the corresponding sequence number of the project according to the optimal adjustment combination.

[0049] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the implementation of the present invention. Those skilled in the art can make other variations or modifications based on the above description. It is neither necessary nor possible to exhaustively describe all embodiments here. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the claims of the present invention.

Claims

1. A method of low-carbon management of a marine oil and gas engineering project, characterized in that, The method comprises the following steps: The project is arranged in sequence, and the carbon emission data of the arranged project is collected and calculated in real time, and a low-carbon management decision is generated combined with the carbon emission data, and it is judged whether the carbon emission data of the project corresponding to the sequence number is abnormal; The work information of the projects with different sequence numbers is connected, the low-carbon management decision is promoted across departments, and it is predicted whether the low-carbon management decision is feasible according to the state of the promotion in real time; According to the construction state and cycle of the project corresponding to the sequence number, it is predicted whether the low-carbon management decision continuously meets the low-carbon management demand, and the feasibility of the construction state of the project corresponding to the sequence number is warned; When the construction state of the project corresponding to the sequence number is not feasible, the construction state and the low-carbon management decision of the project corresponding to the sequence number are adjusted in real time according to the game theory.

2. The method of low carbon management of a marine oil and gas project according to claim 1, characterized in that, The carbon emission data generated by the project corresponding to the sequence number after arrangement is calculated in real time, and the following formula is used for calculation: wherein, i is a serial number corresponding to the engineering project, i = 1, 2, 3, …, n , n is the number of engineering projects, c is a serial number of carbon emission data of the engineering project corresponding to the serial number, c = 1, 2, 3, …, m 0, m 0 is the total number of serial numbers of carbon emission data, is carbon emission data generated by the i th engineering project.

3. The method of low carbon management of a marine oil and gas project according to claim 2, wherein, A low-carbon management decision is generated combined with the carbon emission data, and it is judged whether the carbon emission data of the project corresponding to the sequence number is abnormal, which comprises the following steps: The standard carbon emission data of the project corresponding to the sequence number is set, the difference between the real-time carbon emission data of the project corresponding to the sequence number and the standard carbon emission data is calculated, and when the difference is greater than 0, it indicates that the carbon emission data of the project corresponding to the sequence number is abnormal; When the difference is greater than or equal to 3, the difference is divided into three equal low-carbon management decision values, and the low-carbon management decision is repeated three times; When the difference is less than 3, the low-carbon management decision is made once according to the difference.

4. The low carbon management method of a marine oil and gas engineering project according to claim 1, characterized in that, The feasibility of the low-carbon management decision comprises the following steps: The economic benefit standard deviation of the low-carbon management decision of the project corresponding to the sequence number is calculated, and the following formula is used for calculation: Wherein, The economic benefit standard deviation of low-carbon management decision of the corresponding serial number of the engineering project, According to the current state and cycle of the project corresponding to the sequence number, it is predicted whether the low-carbon management decision continuously meets the low-carbon management demand, and the feasibility of the construction of the project corresponding to the sequence number is warned, which comprises the following steps: The economic benefit average value of low-carbon management decision of the corresponding serial number of the engineering project, The economic benefit data value of low-carbon management decision of the corresponding serial number of the engineering project in the period, k The economic benefit data value of low-carbon management decision of the corresponding serial number of the engineering project in the period, N The economic benefit data value of low-carbon management decision of the corresponding serial number of the engineering project in the period, ≤0, the collaborative promotion state is abnormal; Set the average of the standard deviation of the standard economic benefits of the low-carbon management decision of the project corresponding to the serial number , calculate the average of the standard deviation of the economic benefits of the low-carbon management decision of the project corresponding to the serial number in three cycles with a cycle of a day , , the low-carbon management decision of the project corresponding to the serial number in the next cycle is feasible.

5. The method of low carbon management of a marine oil and gas project according to claim 1, wherein, When the construction state of the project corresponding to the sequence number is not feasible, the unfeasible risk of the project corresponding to the sequence number is quantified by the following formula: Set the low-carbon management demand of the engineering project corresponding to the serial number, calculate the average value of the difference between the real-time calculated carbon emission data of the engineering project corresponding to the serial number in three periods and the standard low-carbon management demand , Determine whether the persistence of the engineering project corresponding to the serial number meets the low-carbon management demand, Determine that the construction state of the engineering project corresponding to the serial number is not feasible and issue a warning.

6. The method of low carbon management of a marine oil and gas project according to claim 1, wherein, According to the game theory, the construction state and the low-carbon management decision of the project corresponding to the sequence number are adjusted in real time, which comprises the following steps: wherein, R is a risk value, P is a likelihood of an event occurring, L is an impact of the event, P and R are directly proportional.

7. A method of low carbon management of a marine oil and gas project according to claim 6, characterised in that, The benefit demand of the project corresponding to the sequence number is obtained from the project target of the project corresponding to the sequence number, the benefit demand of the low-carbon management decision is obtained from the low-carbon management decision, and a sequence number report of the benefit demand of the project corresponding to the sequence number and the benefit demand of the low-carbon management is generated; According to the unfeasible risk of the project corresponding to the sequence number, the sequence number report of the benefit demand of the project corresponding to the sequence number and the benefit demand of the low-carbon management is adjusted by the Nash equilibrium point calculation formula, and the optimal adjustment combination of the project corresponding to the sequence number and the low-carbon management decision is matched; According to the optimal adjustment combination, the construction data of the project corresponding to the sequence number and the low-carbon management decision are automatically adjusted, and the construction data of the project corresponding to the sequence number and the low-carbon management decision are tracked in real time. It comprises:

8. A low-carbon management system for an offshore oil and gas engineering project, employing the low-carbon management method for an offshore oil and gas engineering project according to any one of claims 1 to 7, characterized in that, A double-carbon monitoring end, a collaborative execution end, a project tracking end and a project game end; ​ The double-carbon monitoring end, the collaborative execution end, the project tracking end, and the project game end are electrically connected; The double-carbon monitoring end includes a carbon emission collection unit, a low-carbon management unit, and an abnormal early warning unit. The carbon emission collection unit is used to calculate the carbon emission data of the engineering project corresponding to the serial number in real time. The low-carbon management unit is used to generate a low-carbon management decision based on the difference between the real-time carbon emission data and the standard carbon emission data of the engineering project corresponding to the serial number, and the difference between the real-time carbon emission data and the standard carbon emission data. The abnormal early warning unit performs carbon emission data abnormal early warning according to the difference between the real-time carbon emission data and the standard carbon emission data of the engineering project corresponding to the serial number. The collaborative execution end includes a collaborative prediction unit, which is used to predict whether the low-carbon management decision is feasible. The project tracking end includes a project prediction unit, which is used to predict whether the low-carbon management decision continuously meets the low-carbon management demand according to the current state and period of the engineering project corresponding to the serial number, and to warn the feasibility of the construction of the engineering project corresponding to the serial number. The project game end includes a game model unit, a project corresponding unit, and a game adjustment unit. The game model unit is used to generate a serialized report of the benefit demand of the engineering project corresponding to the serial number and the benefit demand of low-carbon management. The project corresponding unit is used to quantify the unfeasible risk of the engineering project corresponding to the serial number. The game adjustment unit is used to adjust the serialized report of the benefit demand of the engineering project corresponding to the serial number and the benefit demand of low-carbon management according to the unfeasible risk of the engineering project corresponding to the serial number through a Nash equilibrium point calculation formula, and match the optimal adjustment combination of the engineering project corresponding to the serial number and the low-carbon management decision.

9. A low carbon management system for an offshore oil and gas project according to claim 8, characterized in that, The double-carbon monitoring end further includes a double-carbon geographic information system presentation unit for dynamically presenting the topography and personnel distribution heat map of the engineering project corresponding to the serial number through a geographic information system.

10. A low carbon management system for an offshore oil and gas project according to claim 8, characterized in that, The project game end further includes a project adjustment unit and a low-carbon adjustment unit. The project adjustment unit is used to automatically adjust the construction data of the engineering project corresponding to the serial number according to the optimal adjustment combination. The low-carbon adjustment unit is used to automatically adjust the low-carbon management decision of the engineering project corresponding to the serial number according to the optimal adjustment combination.

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