Operation optimization method, processor and storage medium for oil and gas pipeline transportation

Abstract

The present invention relates to the technical field of oil and gas transportation, and discloses an operation optimization method, processor and storage medium for oil and gas pipeline transportation. The method includes: obtaining the perception data of the oil and gas pipeline to realize the digitization of the variables of personnel, equipment, materials, working methods and environment in the oil and gas flow in the physical space; inputting the perception data into the preset model, and determining the equipment operation status, environmental impact degree, emergency response capability, material allocation process, tradable pipe capacity, resource delivery status and pipeline transportation speed of the oil and gas pipeline according to the output of the preset model; generating the oil and gas path flow direction and pipeline transportation plan; distributing the load according to the oil and gas path flow direction and pipeline transportation plan, and determining the pipeline transportation performance indicators and issuing the scheduling plan; generating control data, and controlling the transportation of oil and gas in the pipeline according to the control data, so as to realize the twinning of the oil and gas transportation process in the digital space. The business flow and the oil and gas flow are unified through the data flow to realize adaptive optimization.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas transportation, and in particular to an operation optimization method, a processor and a storage medium for oil and gas pipeline transportation. Background Art

[0002] Oil and gas pipelines use the SCADA (Supervisory Control And Data Acquisition) system to collect operating process parameters and control operations. At present, the SCADA system can already achieve a wide range of remote information collection, remote monitoring and remote control. However, the data collected by the traditional SCADA system only flows in the control network for operation control and cannot be connected with pipeline transportation planning and emergency response. Information such as equipment status, pipe body information, environmental changes and third-party behavior of pipeline operations only flows within their respective business modules. This information is used for equipment fault diagnosis, pipe body defect evaluation and environmental risk protection.

[0003] According to the oil and gas reform plan, the overall idea of ​​opening up both ends and focusing on the middle is that the oil and gas pipeline network needs to conduct pipeline capacity transactions. How to integrate the business flow of pipeline capacity transactions with the oil and gas flow of pipeline transportation is an important link in realizing intelligent pipeline operation. To conduct pipeline capacity transactions, it is necessary to obtain the pipeline transportation capacity for a specified period of time. The current planning and arrangement is carried out through simulation, and there are problems of asynchrony and mismatch between the pipeline transportation process and the business process. Summary of the invention

[0004] In order to overcome the deficiencies in the prior art, an embodiment of the present invention provides an operation optimization method, a processor, and a storage medium for oil and gas pipeline transportation.

[0005] In order to achieve the above-mentioned object, the present invention provides, in a first aspect, an operation optimization method for oil and gas pipeline transportation, comprising:

[0006] Acquire sensory data of oil and gas pipelines to digitize variables of personnel, equipment, materials, working methods and environment in the oil and gas flow in physical space;

[0007] Input the sensed data into the preset model, and determine the equipment operation status, environmental impact, emergency response capability, material allocation process, tradable pipeline capacity, resource delivery status and pipeline transportation speed of the oil and gas pipeline based on the output of the preset model;

[0008] Generate oil and gas flow path and pipeline transportation plan;

[0009] Distribute load according to oil and gas flow and pipeline transportation plan, determine performance indicators and issue dispatch plans;

[0010] Generate control data and control the transportation of oil and gas in the pipeline based on the control data to realize the twin of the oil and gas transportation process in the digital space.

[0011] In an embodiment of the present invention, the preset model includes a mechanism model and a historical data model, and the method further includes:

[0012] Input the sensed data into the mechanism model, and determine the health status of the pipeline and oil and gas equipment based on the output of the mechanism model;

[0013] When it is determined that the pipeline body and / or the oil and gas equipment are operating abnormally, determining the cause of the abnormal operation according to the output of the mechanism model;

[0014] The sensed data is input into the historical data model, and the health status of the pipeline body and oil and gas equipment is predicted based on the output of the historical data model.

[0015] In an embodiment of the present invention, the method further includes:

[0016] The business indicators in the business flow are decomposed according to the perception data, and the business indicators include pipeline transmission volume, planned time and energy consumption.

[0017] In an embodiment of the present invention, the perception data includes at least one of the following: oil and gas quantity, process quantity, state quantity, environment quantity, behavior quantity and space quantity.

[0018] In an embodiment of the present invention, the method further includes:

[0019] Generate oil-gas interface based on oil-gas flow rate, oil-gas composition and oil-gas density;

[0020] The time to reach the target delivery location is determined based on the pipeline transportation speed.

[0021] In the embodiment of the present invention, the process quantities include the pressure, temperature and flow rate of the oil and gas pipeline;

[0022] The method also includes:

[0023] Track pipeline transportation and oil and gas flow delivery progress based on process volumes.

[0024] In the embodiment of the present invention, the state quantity includes the health status of the pipeline body and the oil and gas equipment;

[0025] The method also includes:

[0026] Determine the designed pipeline capacity, maintenance stoppage time, equipment abnormal shutdown impairment reserve, pipeline risk impairment reserve and replaceable and available pipeline capacity based on the state quantity;

[0027] The real-time tradable pipeline capacity is determined based on the designed pipeline capacity, equipment maintenance shutdown time, equipment abnormal shutdown impairment reserve, pipeline body risk impairment reserve and available pipeline capacity of alternative routes.

[0028] In the embodiment of the present invention, the environmental quantity includes meteorological information and soil movement information;

[0029] The method also includes:

[0030] Overlay elevation and pipe body defect data in the data stream;

[0031] Mapping the impact of the environment in virtual space;

[0032] Determine the impact of environmental variables on pipelines and produce safety analysis of oil and gas pipelines.

[0033] In the embodiment of the present invention, the behavior amount includes the status of the operator;

[0034] The method also includes:

[0035] Evaluate the compliance operations of operators.

[0036] In the embodiment of the present invention, the spatial quantity includes the spatial positions of pipelines, operating personnel and materials;

[0037] The method also includes:

[0038] Determine the probability of pipeline being damaged by external factors based on environmental and behavioral factors;

[0039] Determine emergency response time;

[0040] Provide resource allocation services for emergency rescue in business flows.

[0041] In an embodiment of the present invention, the method further includes:

[0042] The sensing data is used to map the oil and gas flow into the business flow to achieve real-time scheduling and online optimization of pipeline transportation business.

[0043] In an embodiment of the present invention, the method further includes:

[0044] Use data warehouse to store perception data and feedback data of business flows.

[0045] In an embodiment of the present invention, the method further includes:

[0046] The business flow tracks pipeline products in real time and provides resource delivery queries to external resource parties and demand parties through data conversion structures.

[0047] In an embodiment of the present invention, the method further includes:

[0048] Pipeline network dispatching adjusts resource flow and power device configuration in real time according to dynamic load and pipeline transmission capacity to ensure the flow of resources in and out of the network.

[0049] In an embodiment of the present invention, the method further includes:

[0050] The physical space oil and gas flow and the virtual space business flow are connected through scheduling instructions.

[0051] A second aspect of the present invention provides a processor configured to execute the above-mentioned operation optimization method for oil and gas pipeline transportation.

[0052] A third aspect of the present invention provides a machine-readable storage medium having instructions stored thereon, the instructions being used to enable a machine to execute the above-mentioned operation optimization method for oil and gas pipeline transportation.

[0053] In an embodiment of the present invention, the oil and gas flow and business flow transported by the oil and gas pipeline are driven by data flow, the fusion of the business flow and the oil and gas flow is realized by data flow, the oil and gas flow is digitized through ubiquitous perception to form a data flow, the data flow carries the information of the oil and gas flow into the business flow, the business flow determines the operating principles of various businesses according to the information of the real-time data flow, and generates control data, and the control data is fed back to the oil and gas flow.

[0054] The oil and gas flow in the physical space is digitized through perception, and the oil and gas flow in the physical space enters the business system in the form of data. The business flow decomposes business indicators such as pipeline transportation volume, planned time and energy consumption. The perception data is processed through the algorithm model in the data flow, and the operation requirements of each unit module are given, and the oil and gas flow is returned. In the oil and gas flow, each actuator is dispatched according to the returned control data, and the operation is carried out according to the plan of the business flow, and finally the oil and gas transportation is realized.

[0055] The oil and gas flow in the physical space is digitized through the ubiquitous perception system, and the business flow and oil and gas flow are integrated through the data flow in the virtual space to achieve adaptive optimization and integrated management and control. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0057] Figure 1 A flow chart of an operation optimization method for oil and gas pipeline transportation according to an embodiment of the present invention is schematically shown;

[0058] Figure 2 A flowchart schematically shows another operation optimization method for oil and gas pipeline transportation according to an embodiment of the present invention;

[0059] Figure 3 A digital twin diagram according to an embodiment of the present invention is schematically shown. DETAILED DESCRIPTION

[0060] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0061] It should be noted that if the implementation methods of the present application involve directional indications (such as up, down, left, right, front, back...), such directional indications are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0062] In addition, if there are descriptions involving "first", "second", etc. in the implementation methods of this application, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or suggesting their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various implementation methods can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0063] Figure 1 The flowchart of the operation optimization method for oil and gas pipeline transportation according to an embodiment of the present invention is schematically shown. Figure 1 As shown, in one embodiment of the present invention, a method for optimizing the operation of oil and gas pipeline transportation is provided, comprising the following steps:

[0064] Step 101, acquiring sensing data of the oil and gas pipeline to digitize the variables of personnel, equipment, materials, working methods and environment in the oil and gas flow in the physical space;

[0065] Step 102, input the sensed data into a preset model, and determine the equipment operation status, environmental impact level, emergency response capability, material allocation process, tradable pipeline capacity, resource delivery status and pipeline transportation speed of the oil and gas pipeline according to the output of the preset model;

[0066] Step 103, generating oil and gas flow path and pipeline transportation plan;

[0067] Step 104, load distribution is performed according to the oil and gas flow path and pipeline transportation plan, and performance indicators are determined and a scheduling plan is issued;

[0068] Step 105, generating control data, and controlling the transportation of oil and gas in the pipeline according to the control data, so as to realize the twin of the oil and gas transportation process in the digital space.

[0069] In an embodiment of the present invention, the oil and gas flow and the business flow transported by the oil and gas pipeline are driven by the data flow, the business flow and the oil and gas flow are integrated by the data flow, the oil and gas flow is digitized by ubiquitous perception to form a data flow, the data flow carries the information of the oil and gas flow into the business flow, the business flow determines the operating principles of various businesses according to the information of the real-time data flow, generates control information data, and feeds back to the oil and gas flow.

[0070] The oil and gas flow in the physical space is digitized through perception, and the oil and gas flow in the physical space enters the business system in the form of data. The business flow decomposes business indicators such as pipeline transportation volume, planned time and energy consumption. The perception data is processed through the algorithm model in the data flow, and the operation requirements of each unit module are given. The oil and gas flow is returned, and the various actuators are dispatched according to the control data returned in the oil and gas flow. The operation is carried out according to the plan of the business flow, and finally the oil and gas transportation is realized. The oil and gas flow in the physical space is digitized through the ubiquitous perception system, and the business flow and oil and gas flow are operated together in the virtual space through the data flow to achieve adaptive optimization and integrated management and control. A digital twin that integrates perception and business of the smart pipeline network is realized.

[0071] In one embodiment, the state of oil and gas equipment is sensed in real time at the oil and gas pipeline station; the oil and gas quantities such as the composition and flow of the pipeline products; the process quantities such as pressure and temperature; the behavioral quantities of the operators, contractors, and third-party activities on the line; the environmental quantities such as rainfall and soil movement; the spatial quantities of the line and materials; and the state of the line itself. The sensed data is transmitted to the data center in real time through the network, and the data center uses the embedded algorithm model to analyze the sensed data and provide the real-time pipeline volume and the tradable pipeline capacity.

[0072] The external proposed transaction capacity is matched with the real-time pipeline transportation to generate the recommended oil and gas flow direction and pipeline transportation plan. The business flow decomposes the performance indicators according to the pipeline transportation plan, distributes the load, determines the performance indicators, and issues the scheduling plan. The scheduling plan of the business flow enters the data flow, generates control data through the algorithm model, and lands in the actuator to realize the control of pipeline oil and gas flow. Figure 2 A flowchart schematically shows another operation optimization method for oil and gas pipeline transportation according to an embodiment of the present invention, which can be seen in Figure 2 .

[0073] After the delivery of oil and gas pipeline products, a scheduling plan ends and the cost settlement phase of the business flow begins. This completes a pipeline capacity transaction and releases pipeline capacity to enter the next transaction phase.

[0074] The data related to oil and gas flow include oil and gas volume, process volume, state volume, environment volume, behavior volume and space volume, which digitizes the oil and gas pipeline transportation process and transmits it to the business link. The characteristics of data flow are real-time collection and on-site processing. All data flows enter the business module, and the business management module can be used to track the oil and gas transportation process in real time.

[0075] The oil and gas flow forms a data flow including oil and gas volume, process volume, state volume, environment volume, behavior volume and space volume through perception, digitizes the physical process of oil and gas pipeline transportation, and maps it to the data center through a multi-network interconnected transmission network. The data center automatically matches the perceived data to the corresponding labels of different production systems according to the digital model, displays the tank capacity and pipe storage of the physical entity in real time on the large screen, and tracks the oil and gas transportation process in real time in the business management module, realizing real-time tracking of fluid entry, sales and storage, and timely inventory.

[0076] The business flow visualizes the business process through the acquired real-time data flow, generates and displays the oil and gas interface based on the oil and gas flow, oil and gas composition, and oil and gas density data. The oil and gas composition can be determined using an online component analyzer, and the oil and gas density can be determined using a densitometer. The oil and gas interface information can represent different pipeline products. The estimated time to reach the target delivery location is determined based on the pipeline speed. The business flow tracks pipeline products in real time and provides resource delivery queries to external resource parties and demand parties through a dedicated data conversion structure. The actual completion status of the pipeline plan and the estimated batch delivery time are generated according to the model based on the perceived data. This real-time pipeline progress can be queried and tracked by the resource entrusting party.

[0077] The process quantities in the data stream are collected by the SCADA system and integrated with the basic data and base map of the pipeline network in the data stream to display the supply and consumption of the resource party and the demand party in real time, map the supply and demand of resources in the virtual space, and the pipeline network dispatcher adjusts the resource flow direction and power device configuration in real time according to the dynamic load and pipeline capacity to ensure the entry and exit of resources. The process quantities in the data stream are provided to the business system to track the pipeline transportation process in real time and evaluate the delivery progress of oil and gas flow.

[0078] In the embodiment of the present invention, the state quantity of the equipment is sensed and acquired. In the data stream, the mechanism model and the historical data model are used to determine or predict the health status of the pipeline body and the equipment. The current and future pipeline transmission capacity, maintenance time and other operation time are evaluated in the business system, and the tradable pipeline capacity is obtained by calculation. Real-time tradable pipeline capacity = designed pipeline transmission capacity - maintenance downtime - equipment abnormal downtime impairment reserve - pipeline body risk impairment reserve + alternative route available pipeline capacity.

[0079] In one embodiment, the preset model includes a mechanism model and a historical data model, and the method further includes:

[0080] Input the sensed data into the mechanism model, and determine the health status of the pipeline and oil and gas equipment based on the output of the mechanism model;

[0081] When it is determined that the pipeline body and / or the oil and gas equipment are operating abnormally, determining the cause of the abnormal operation according to the output of the mechanism model;

[0082] The sensed data is input into the historical data model, and the health status of the pipeline body and oil and gas equipment is predicted based on the output of the historical data model.

[0083] The mechanism model can be understood as a causal model, which can directly determine the cause of abnormal operation. The historical data model can be understood as a correlation model, which can determine future development trends and judge the insecurity of the current situation in advance. The perception data will automatically flow to each data model according to the data requirements of the model, and the calculation results will be automatically pushed to business management modules such as pipeline dispatching.

[0084] In the embodiment of the present invention, environmental meteorological information and soil movement information are sensed, elevation, pipe defects and other data are superimposed in the data stream, the impact of the environment is mapped in the virtual space, the impact of the environment on the pipeline is evaluated in real time in the business flow, and the safety analysis of the pipeline is performed.

[0085] In an embodiment of the present invention, the positions, behavioral trends and other parameters of pipeline operators, contractors and third parties along the pipeline are perceived in the physical space, risk assessment, integrity evaluation and operation plan are integrated in the data stream and mapped in the virtual space, and the compliance operations of personnel are evaluated in the business module.

[0086] In the embodiment of the present invention, the spatial positions of the pipeline and its ancillary facilities, operating personnel, and various materials are sensed in the physical space, and the environmental quantity and behavioral quantity are integrated in the virtual space to evaluate the possibility of the pipeline being damaged by the outside world. The data model is used to evaluate the emergency response time in real time, and provide resource allocation services for emergency rescue in the business module.

[0087] In the embodiment of the present invention, the oil and gas flow and the business flow are connected through real-time perception data, and the status of people (personnel), machines (devices), materials (materials), methods (working methods), and environment (environment) in the oil and gas flow are mapped to the business flow in real time, so as to realize the real-time scheduling and online optimization of the pipeline transportation business. The oil and gas flow is digitized by the perception system in the physical space, and the data automatically flows through the set rules in the virtual space, and the operation status of the physical space is mapped to the business space in real time. The business space arranges the scheduling plan according to the business principles and feeds back to the oil and gas flow in the physical space, so as to realize the fusion and symbiosis of the oil and gas flow, data flow and business flow.

[0088] In one embodiment, the perceived oil and gas flow data and data flow are stored in a data warehouse, and different business modules obtain data from the data warehouse to participate in calculation and analysis. Data is automatically distributed to different business modules according to the set process, rules, and models. The feedback data of the business flow enters the data warehouse, and the operator is reminded through the control to drive the actuator to operate according to the business flow requirements.

[0089] The business activities in the physical space are digitized through the perception of behavior, state, and process. The business data in the physical space is also stored in the data warehouse. Each business module obtains the status information of the business process from the data warehouse. The oil and gas flow data and business flow data are integrated in the virtual space through the mechanism model, data model, business rules, and process settings of each business processing module. Oil and gas data is the physical manifestation of the business, and the data flow is the process tracking of the oil and gas flow.

[0090] The physical space oil and gas flow and the virtual space business flow are connected through scheduling instructions. The scheduling data is formulated according to the plan generated after the pipe capacity transaction. The scheduling data is fed back to the people and actuators in the physical space oil and gas flow by the business module operation instructions of the virtual space.

[0091] The oil and gas flow operates in the physical space, the data flow operates in the virtual space, the data flow changes synchronously with the oil and gas flow, and the oil and gas flow is a pipeline transportation process and a storage process in the data flow. The business flow is digitized through the business module, and the business flow is the planning, decision-making link and the docking link with the external system in the data flow.

[0092] Through the pipe capacity transaction of business flow, the supply (source), sales (load) demand of oil field refineries and pipeline transportation (network) and storage (storage) are connected. Pipe capacity transaction determines the oil and gas receiving end and pipeline transportation path, and specifies the time and space constraints of oil and gas flow. The space volume and oil and gas volume of these pipe capacity transactions are formed into data flow into virtual space through the perception system. The data flow flows synchronously with the oil and gas flow in the physical space, and is virtually transported to form a digital twin of the physical space. Figure 3 A digital twin diagram according to an embodiment of the present invention is schematically shown, which can be seen in Figure 3 .

[0093] The realization of the energy internet requires the networking and operation of multiple energy sources such as oil and gas transportation and electric power transportation. The execution status of the transportation plan is fed back to the business flow in real time, so as to realize the integrated operation of "source-grid-load-storage" and support the digital transformation of pipeline network operation. The embodiment of the present invention proposes an energy internet implementation method that integrates the perceived data flow with the pipeline oil and gas flow and the oil and gas pipeline capacity transaction settlement business flow, so as to realize the twin of the oil and gas transportation process in the digital space. The association between the actual fluid transportation and the business process is realized, and the transportation process of the physical object is truly reflected in the digital space through the automatic flow of data by using the perceived data and mathematical models.

[0094] An embodiment of the present invention provides a processor, which is configured to execute any one of the operation optimization methods for oil and gas pipeline transportation in the above embodiments.

[0095] Specifically, the processor may be configured to:

[0096] Acquire sensory data of oil and gas pipelines to digitize variables of personnel, equipment, materials, working methods and environment in the oil and gas flow in physical space;

[0097] Input the sensed data into the preset model, and determine the equipment operation status, environmental impact, emergency response capability, material allocation process, tradable pipeline capacity, resource delivery status and pipeline transportation speed of the oil and gas pipeline based on the output of the preset model;

[0098] Generate oil and gas flow path and pipeline transportation plan;

[0099] Distribute load according to oil and gas flow and pipeline transportation plan, determine performance indicators and issue dispatch plans;

[0100] Generate control data and control the transportation of oil and gas in the pipeline based on the control data to realize the twin of the oil and gas transportation process in the digital space.

[0101] In an embodiment of the present invention, the preset model includes a mechanism model and a historical data model, and the processor is further configured to:

[0102] Input the sensed data into the mechanism model, and determine the health status of the pipeline and oil and gas equipment based on the output of the mechanism model;

[0103] When it is determined that the pipeline body and / or the oil and gas equipment are operating abnormally, determining the cause of the abnormal operation according to the output of the mechanism model;

[0104] The sensed data is input into the historical data model, and the health status of the pipeline body and oil and gas equipment is predicted based on the output of the historical data model.

[0105] In this embodiment of the present invention, the processor is further configured to:

[0106] The business indicators in the business flow are decomposed according to the perception data, and the business indicators include pipeline transmission volume, planned time and energy consumption.

[0107] In an embodiment of the present invention, the processor is configured to:

[0108] The perception data includes at least one of the following: oil and gas quantity, process quantity, state quantity, environment quantity, behavior quantity and space quantity.

[0109] In this embodiment of the present invention, the processor is further configured to:

[0110] Generate oil-gas interface based on oil-gas flow rate, oil-gas composition and oil-gas density;

[0111] The time to reach the target delivery location is determined based on the pipeline transportation speed.

[0112] In the embodiment of the present invention, the process quantities include the pressure, temperature and flow rate of the oil and gas pipeline;

[0113] The processor is also configured to:

[0114] Track pipeline transportation and oil and gas flow delivery progress based on process volumes.

[0115] In the embodiment of the present invention, the state quantity includes the health status of the pipeline body and the oil and gas equipment;

[0116] The processor is also configured to:

[0117] Determine the designed pipeline capacity, maintenance stoppage time, equipment abnormal shutdown impairment reserve, pipeline risk impairment reserve and replaceable and available pipeline capacity based on the state quantity;

[0118] The real-time tradable pipeline capacity is determined based on the designed pipeline capacity, equipment maintenance shutdown time, equipment abnormal shutdown impairment reserve, pipeline body risk impairment reserve and available pipeline capacity of alternative routes.

[0119] In the embodiment of the present invention, the environmental quantity includes meteorological information and soil movement information;

[0120] The processor is also configured to:

[0121] Overlay elevation and pipe body defect data in the data stream;

[0122] Mapping the impact of the environment in virtual space;

[0123] Determine the impact of environmental variables on pipelines and produce safety analysis of oil and gas pipelines.

[0124] In the embodiment of the present invention, the behavior amount includes the status of the operator;

[0125] The processor is also configured to:

[0126] Assess personnel's compliance operations.

[0127] In the embodiment of the present invention, the spatial quantity includes the spatial positions of pipelines, operating personnel and materials;

[0128] The processor is also configured to:

[0129] Determine the probability of pipeline being damaged by external factors based on environmental and behavioral factors;

[0130] Determine emergency response time;

[0131] Provide resource allocation services for emergency rescue in business flows.

[0132] In this embodiment of the present invention, the processor is further configured to:

[0133] The sensing data is used to map the oil and gas flow into the business flow to achieve real-time scheduling and online optimization of pipeline transportation business.

[0134] In this embodiment of the present invention, the processor is further configured to:

[0135] Use data warehouse to store perception data and feedback data of business flows.

[0136] In this embodiment of the present invention, the processor is further configured to:

[0137] The business flow tracks pipeline products in real time and provides resource delivery inquiries to external resource parties and demand parties through a dedicated data conversion structure.

[0138] In this embodiment of the present invention, the processor is further configured to:

[0139] Pipeline network dispatching adjusts resource flow and power device configuration in real time according to dynamic load and pipeline transmission capacity to ensure the flow of resources in and out of the network.

[0140] In this embodiment of the present invention, the processor is further configured to:

[0141] The physical space oil and gas flow and the virtual space business flow are connected through scheduling instructions.

[0142] An embodiment of the present invention provides a machine-readable storage medium, on which instructions are stored, and the instructions are used to enable a machine to execute the above-mentioned operation optimization method for oil and gas pipeline transportation.

[0143] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0144] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0145] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0146] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0147] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0148] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0149] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0150] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0151] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. An operation optimization method for oil and gas pipeline transportation, characterized in that: include: Acquire the sensory data of the oil and gas pipeline to digitize the variables of personnel, equipment, materials, working methods and environment in the oil and gas flow in the physical space to form a data flow in the digital space, wherein the sensory data includes oil and gas quantity, process quantity, state quantity, environmental quantity, behavior quantity and space quantity, wherein the process quantity includes the pressure, temperature and flow of the oil and gas pipeline, the state quantity includes the health status of the pipeline body and oil and gas equipment, the environmental quantity includes meteorological information and soil movement information, the behavior quantity includes the status of the operating personnel, and the space quantity includes the spatial position of the pipeline, operating personnel and materials; Inputting the sensed data in the data stream into a mechanism model, and determining the health status of the pipeline body and the oil and gas equipment according to the output of the mechanism model; When it is determined that the pipeline body and / or the oil and gas equipment are operating abnormally, determining the cause of the abnormal operation according to the output of the mechanism model; Inputting the sensed data in the data stream into a historical data model, and predicting the health status of the pipeline body and the oil and gas equipment according to the output of the historical data model, wherein the historical data model is used to predict the future health status of the pipeline body and / or the oil and gas equipment based on the historical data; Generate oil and gas path flow direction and pipeline transportation plan in business flow based on the output of the mechanism model and the output of the historical data model; According to the oil and gas path flow direction and the pipeline transportation plan, load distribution in the business flow is performed, and business indicators in the business flow are determined and a scheduling plan is issued; Decomposing the business indicators according to the sensing data, the business indicators including pipeline transmission volume, planned time and energy consumption; The scheduling plan in the business flow and the decomposed business indicators are input into a preset model to generate control data, and the control data is transmitted to the oil and gas flow through the data flow, so as to control the transportation of oil and gas in the pipeline according to the control data in the oil and gas flow, so as to complete the fusion of the oil and gas flow, the data flow and the business flow, and realize the twinning of the oil and gas transportation process in the digital space.

2. The method according to claim 1, characterized in that Also includes: Generate oil-gas interface based on oil-gas flow rate, oil-gas composition and oil-gas density; The time to reach the target delivery location is determined based on the pipeline transportation speed.

3. The method according to claim 1, characterized in that The method further comprises: The pipeline transportation process and the delivery progress of the oil and gas flow are tracked based on the process quantities.

4. The method according to claim 1, characterized in that The method further comprises: Determine the designed pipeline transmission capacity, maintenance stoppage time, equipment abnormal shutdown impairment reserve, pipeline body risk impairment reserve and available pipeline capacity of alternative routes according to the state quantity; The real-time tradable pipeline capacity is determined based on the designed pipeline transmission capacity, the maintenance outage time, the equipment abnormal downtime impairment reserve, the pipeline body risk impairment reserve and the available pipeline capacity of the alternative routes.

5. The method according to claim 1, characterized in that The method further comprises: Overlay elevation and pipe body defect data in the data stream; Mapping the impact of the environment in virtual space; Determine the factors affecting the pipeline by the environmental quantity and make a safety analysis of the oil and gas pipeline.

6. The method according to claim 1, characterized in that The method further comprises: Evaluate the compliance operations of operators.

7. The method according to claim 1, characterized in that The method further comprises: Determining the probability of the pipeline being damaged by the outside world according to the environmental quantity and the behavioral quantity; Determine emergency response time; Provide resource allocation services for emergency rescue in business flows.

8. The method according to claim 1, characterized in that Also includes: The sensing data is used to map the oil and gas flow into the business flow to achieve real-time scheduling and online optimization of pipeline transportation business.

9. The method according to claim 1, characterized in that: Also includes: A data warehouse is used to store the perception data and feedback data of the business flow.

10. The method according to claim 1, characterized in that Also includes: The business flow tracks pipeline products in real time and provides resource delivery queries to external resource parties and demand parties through data conversion structures.

11. The method according to claim 1, characterized in that: Also includes: Pipeline network dispatching adjusts resource flow and power device configuration in real time according to dynamic load and pipeline transmission capacity to ensure the flow of resources in and out of the network.

12. The method according to claim 1, characterized in that Also includes: The physical space oil and gas flow and the virtual space business flow are connected through scheduling instructions.

13. A processor, characterized in that: The method is configured to execute the operation optimization method for oil and gas pipeline transportation according to any one of claims 1 to 12.

14. A machine-readable storage medium having instructions stored thereon, characterized in that: The instruction is used to enable the machine to execute the operation optimization method for oil and gas pipeline transportation according to any one of claims 1 to 12.

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