Dynamic evaluation method for pipeline transportation plan performability

Abstract

The invention relates to a dynamic evaluation method for the performability of a pipeline transportation plan. The performability of a subsequent pipeline transportation plan can be dynamically evaluated in real time. Comprising the following steps: S1, starting a preparation stage, and inputting basic data in a system; s2, a real-time data acquisition stage: acquiring data and actual operation states of pipelines, storage tanks and pipeline equipment of each station as a real-time data input system; s3, inputting plan data, drawing up the plan data according to actual use requirements and working conditions, and inputting the plan data into the system; the plan data comprises a shipping date plan, an oil delivery first station sequential delivery plan and a crude oil blending processing plan; the sequential delivery plan of the first oil delivery station comprises a planned pipeline delivery flow and an initial pipeline delivery plan; and S4, performing evaluation judgment and outputting a result, performing evaluation judgment on the pipeline transportation plan performability according to the data input in the steps S1 to S3, adjusting the plan data in time and performing evaluation judgment again when the initial pipeline transportation plan data cannot meet the requirement, and finally outputting a pipeline transportation plan performability result.

Description

Technical Field

[0001] The invention relates to the field of dynamic evaluation of the feasibility of crude oil transportation plans, and in particular to a method for dynamic evaluation of the executability of pipeline transportation plans. Background Art

[0002] The order of transportation of multiple types of crude oil in long-distance crude oil pipelines is directly related to the stability of crude oil supply and the executability of production plans at the terminal refinery due to the long total process time from procurement, loading and unloading, pipeline transportation, and finally blending and processing. Dynamic evaluation of the long-distance crude oil pipeline sequential transportation plan can timely determine the executability of the crude oil sequential transportation plan during the execution of the plan. In the absence of executability, the subsequent crude oil sequential transportation plan and the processing and production plan of the terminal refinery can be dynamically adjusted. The long-distance crude oil pipeline sequential transportation plan is closely related to factors such as crude oil procurement, arrival and unloading time, crude oil volume at the port, crude oil variety at the port, the receivable capacity and tank variety of the first station of oil dispatch, payable capacity and tank variety, pipeline sequential transportation plan, pipeline transportation flow of each section, receivable capacity and tank variety at the terminal, payable capacity, moving conditions and tank variety, and crude oil blending and processing plan of the terminal refinery. In the actual operation of the whole process, the crude oil turnover cycle is long and there are many restrictive conditions. The occurrence of emergencies often leads to the failure of the overall plan. It is necessary to re-evaluate and formulate the subsequent overall plan according to the actual situation.

[0003] The crude oil pipeline sequential transportation plan is compiled under the working conditions that meet the current rules and conditions. When an emergency occurs, the subsequent overall plan needs to be readjusted. At present, the actual process mainly involves redefining the current rules and conditions and revising the overall plan again. Due to the long crude oil turnover cycle, the number of emergencies will also increase relatively, resulting in frequent plan revisions, which is time-consuming and labor-intensive, directly affecting the execution efficiency and accuracy of the plan, causing fluctuations in the crude oil blending of the terminal refinery, and further affecting the production and processing plan.

[0004] CN111156419B discloses a variable speed scheduling method for mixed transportation of crude oil in long-distance pipelines. This method aims at the inefficiency of the traditional manual scheduling and production scheduling plan in the mixed oil transportation process of long-distance pipelines, the long oil transportation delay of long-distance pipelines, and the original scheduling and production scheduling plan cannot be used when the speed of oil transportation is changed according to the actual production situation. A long-distance pipeline crude oil mixed transportation variable speed scheduling and production scheduling system with adaptive variable speed oil transportation is proposed, which can independently produce scheduling and production scheduling plans after user configuration without manual intervention. Compared with the commonly used mixed integer programming method, this method has a small calculation scale, fast solution speed, low probability of no solution, and less computing resources. At the same time, this method solves the problem that the original scheduling and production scheduling plan is unavailable after the oil transportation speed is changed when there is a long pipeline in the oil transportation process. This method improves the production efficiency of the enterprise, reduces the loss of the enterprise, and improves the economic benefits.

[0005] CN113110336B discloses a method for dynamic blending of crude oil considering scheduling constraints. This method expands the crude oil blending search range to the front end of the production and processing technology, and includes the crude oil stored in port tankers and shore tanks into the crude oil pool of crude oil blending candidate components. At the same time, the crude oil scheduling constraints are considered to verify the actual executability of the blending formula, and the executable crude oil blending formula with better cost and properties is optimized in a rolling manner. Under the premise of continuous and stable production of the enterprise, this method reduces the basic investment cost and crude oil production and processing cost, improves product quality, and thus uses limited resources to achieve lean crude oil processing and production, making the enterprise's crude oil processing and production more refined and improving the enterprise's economic benefits.

[0006] CN113626112A provides a method and device for compiling a pipeline transportation plan chart control for an oil pipeline network. The method for compiling a pipeline transportation plan chart control for an oil pipeline network includes: determining an initial oil product batch plan data table according to preset business requirements; setting corresponding tank capacity information for each station in the initial oil product batch plan data table to obtain a station tank capacity data table; drawing a pipeline transportation plan line, a tank inventory change curve, and tank capacity upper and lower limit constraint lines; judging whether the tank inventory change curve meets the constraint conditions of the tank capacity upper and lower limit constraint lines, and determining the final pipeline transportation plan according to the pipeline transportation plan line or the adjusted pipeline transportation plan line. The embodiment of the present invention can assist business personnel in compiling a pipeline transportation plan for sequential transportation of finished oil / crude oil pipelines through chart control optimization, reduce manual labor intensity, solve the problem of taking into account various constraints, and improve the timeliness and scientificity of pipeline transportation plan compilation.

[0007] CN113626895A provides a method and device for dragging and dropping control components to compile a pipeline transportation plan for an oil pipeline network. The method comprises: adding station controls to a system to carry out a pipeline network layout; configuring information for each station control respectively; adding a storage tank control to the station control that needs to add a storage tank; setting a plan compilation time period; adding an oil product batch control to the station that needs to perform an oil product export operation; in the process of adding the oil product batch control, ensuring that the tank inventory change curve of each storage tank meets the constraint conditions of the corresponding tank capacity upper and lower limit constraint lines, and finally obtaining a pipeline transportation plan; the embodiment of the present invention assists business personnel in compiling a pipeline transportation plan for sequential transportation of an oil pipeline network through a compilation method of dragging and dropping a graphic control, solves the problem of taking into account the constraints of various restrictive conditions, greatly reduces the intensity of manual labor, and improves the timeliness and scientificity of pipeline transportation plan compilation.

[0008] CN111860938B provides a global blending and scheduling optimization method for crude oil storage and transportation systems, including establishing objective functions corresponding to crude oil blending, inventory matching, and oil product switching times, respectively. Under the premise of preset daily oil demand and constant pressure reduction device yield integrated data model driven modeling, the objective function is solved in the restricted conditions of the constraint conditions to calculate the tank storage matching degree, oil product demand matching degree, and the specified oil product switching times; according to the calculation results, the oil delivery situation from the terminal tank to the crude oil tank and the crude oil blending scheduling are adjusted. Crude oil blending and crude oil scheduling multi-objective optimization problems are combined to avoid local optimal solutions; the crude oil blending scheduling model adopts a multi-logic constraint planning method, allowing the operation rules in the system operation process to be expressed in logical constraints, which reduces the difficulty of solving the model compared to other optimization solver methods, and has a faster solution speed and higher solution feasibility while considering global optimization.

[0009] CN111156419B provides a variable speed scheduling method for mixed transportation of crude oil in long-distance pipelines. This method aims at the inefficiency of the traditional manual scheduling and production scheduling plan in the mixed oil transportation process of long-distance pipelines, the large delay of long-distance pipeline oil transportation, and the original scheduling and production scheduling plan cannot be used when the speed of oil transportation is changed according to the actual production situation. A long-distance pipeline crude oil mixed transportation variable speed scheduling and production scheduling system with adaptive variable speed oil transportation is proposed. The scheduling and production scheduling plan can be produced autonomously after user configuration without manual intervention. Compared with the commonly used mixed integer programming method, this method has a small calculation scale, fast solution speed, low probability of no solution, and less computing resources. At the same time, this method solves the problem that the original scheduling and production scheduling plan is unavailable after the oil transportation speed is changed when there is a long pipeline in the oil transportation process. This method improves the production efficiency of the enterprise, reduces the loss of the enterprise, and improves the economic benefits. However, this method controls the pipeline transportation rhythm by speed regulation to meet the production scheduling requirements. The process is similar, but for longer pipeline systems, it is not suitable to meet the production scheduling requirements by dynamic speed regulation, and it does not involve the evaluation of the overall plan.

[0010] The paper "Research on the rolling scheduling method of crude oil pipeline transportation for online blending" (Chen Weirui et al., Petroleum Refining and Chemical Industry, Vol. 52, No. 11, November 2021) is designed for the typical crude oil pipeline scheduling process in the refining industry. The full-time scheduling cycle is divided into several short cycles of equal length, and the model is modeled using the mixed integer programming method. The rolling optimization method is used to incorporate the crude oil blending demand into the objective function and constraints of the crude oil scheduling model, and the model is solved to obtain the full-time scheduling plan. The results show that for the crude oil pipeline scheduling problem with a scheduling cycle of 168h under the background of changes in crude oil blending formula, the use of this method can make crude oil scheduling and blending more matched, and can quickly find the optimal crude oil scheduling plan that adapts to changes in crude oil blending, which is beneficial to improving the economic benefits of refining enterprises.

[0011] In short, there is currently a lack of dynamic evaluation methods for the feasibility of a multi-oil sequential transportation plan during long-distance crude oil transportation that is related to crude oil procurement, arrival at port, unloading time, crude oil volume at port, crude oil variety at port, receivable capacity and tank variety at the first oil dispatching station, payable capacity and tank variety, pipeline sequential transportation plan, pipeline transportation flow rate of each pipeline section, receivable capacity and tank variety at the terminal, payable capacity, movement conditions and tank variety, and crude oil blending and processing plan of the terminal refinery. Summary of the invention

[0012] In order to solve the problems of the prior art, the purpose of the present invention is to provide a method for dynamically evaluating the feasibility of pipeline transportation plans, which combines real-time production data and rule conditions to realize the continuous rolling calculation and preparation of plans, dynamically evaluate the feasibility of ship schedules, pipeline transportation sequences, pipeline transportation flows, crude oil types, crude oil storage and crude oil blending and processing, and facilitate the preparation of crude oil pipeline sequential transportation plans. The specific contents are as follows:

[0013] A method for dynamically evaluating the feasibility of a pipeline transportation plan, by clarifying key parameters and key control nodes in the transportation process, and dynamically evaluating the feasibility of a subsequent pipeline transportation plan in real time according to the real-time key parameters of each key control node; the method comprises the following steps:

[0014] S1, start the preparation phase and enter basic data into the system;

[0015] S2, the real-time data collection stage, collects the data of pipelines, storage tanks, pipeline equipment and actual operation status of each site as real-time data input into the system;

[0016] S3, input planning data, formulate planning data according to actual use requirements and working conditions, and input planning data into the system; planning data includes ship schedule, sequential transportation plan of the first oil delivery station, and crude oil blending and processing plan; the sequential transportation plan of the first oil delivery station includes pipeline transportation planned flow rate and initial pipeline transportation plan;

[0017] S4, evaluate and judge and output the results. The feasibility of the pipeline transportation plan is evaluated and judged based on the data input in S1 to S3. When the initial pipeline transportation plan data cannot be met, the plan data is adjusted in time and evaluated and judged again, and finally the feasibility result of the pipeline transportation plan is output.

[0018] Furthermore, the specific steps of evaluating, judging and outputting the result in step S4 are as follows:

[0019] S4.1, read the ship schedule, the first oil station sequential transportation plan and the crude oil blending and processing plan respectively;

[0020] S4.2, evaluate whether the cycle from crude oil procurement to unloading meets the oil delivery demand of the first oil delivery station, the terminal oil collection and crude oil processing demand. If not, update the shipping plan; evaluate whether the shipping plan can meet the initial pipeline transportation plan. If not, update the shipping plan; evaluate whether the shipping plan can meet the operation demand of the first oil delivery station. If it cannot pass the evaluation, update the shipping plan; evaluate whether the initial pipeline transportation plan can meet the operation demand of the first oil delivery station. After traversing the initial pipeline transportation plan, if the overall plan still cannot pass the evaluation, update the shipping plan; when all the above conditions are met, enter the next evaluation stage;

[0021] S4.3, evaluate whether the initial pipeline transportation plan can meet the operation requirements of the first oil delivery station according to the crude oil shipping schedule. If the initial pipeline transportation plan fails to pass the evaluation, update the initial pipeline transportation plan. If the initial pipeline transportation plan still fails to pass the evaluation after multiple updates, update the crude oil shipping schedule; if it passes the evaluation, proceed to the next step;

[0022] S4.4, evaluate whether the initial pipeline transportation plan and crude oil blending and processing plan meet the operation requirements of the terminal oil receiving part according to the initial pipeline transportation plan and crude oil blending and processing plan. If it fails, update the initial pipeline transportation plan or crude oil blending and processing plan; if it passes the evaluation, proceed to the next step;

[0023] S4.5, evaluate whether the crude oil blending and processing plan can meet the refinery processing plan. If it fails the evaluation, the crude oil blending and processing plan is updated; if it passes the evaluation, it is determined that the pipeline transportation plan is executable.

[0024] Furthermore, the step S4.4 comprises:

[0025] S4.4.1, evaluate whether the initial pipeline transportation plan can meet the operational requirements of the oil receiving terminal, and update the initial pipeline transportation plan if it cannot pass the evaluation;

[0026] S4.4.2, evaluate whether the crude oil blending and processing plan can meet the operational needs of the oil receiving terminal. If it cannot pass the evaluation, update the crude oil blending and processing plan.

[0027] Furthermore, the basic data include crude oil loading and unloading cycle, storage tank parameters of the first oil delivery station, storage tank parameters of the terminal oil receiving station, long-distance crude oil pipeline parameters and crude oil processing data; the real-time data includes determining the measurement start time, storage tank status of the first oil delivery station, pipeline operation status, storage tank status of the terminal oil receiving station, and operation status of the long-distance crude oil pipeline.

[0028] Furthermore, the crude oil loading and unloading cycle includes the procurement turnaround time T b , unloading turnaround time T u The storage tank parameters of the first oil delivery station include the maximum safe capacity C S，MAX , minimum safe capacity C S，MIN , the safe minimum operating capacity of the Nth storage tank is C S，L，N , maximum operating capacity CS，H，N The oil receiving terminal storage tank parameters include the maximum safe capacity C E，MAX , minimum safe capacity C E，MIN , the safe minimum operating capacity of the nth tank C E，L，n , maximum operating capacity C E，H，n , standing dehydration time T W The long-distance crude oil pipeline parameters and crude oil processing data include pipeline volume C P The state of the storage tank at the first oil delivery station includes the actual maximum safe capacity C S，max , the actual minimum safety capacity C S，min , actual capacity C S , the capacity of the Nth storage tank is C S，N , start and stop status S S，N , crude oil type X and storage tank capacity C S，X , the start time of transportation of the i-th batch of crude oil X is t S，X，i The state of the oil receiving terminal storage tank includes the actual capacity C E , the start and stop status of the nth storage tank S E，n , crude oil type X and storage tank capacity C E，X，n , the actual maximum safety capacity C E，max , the actual minimum safety capacity C E，min , X crude oil available capacity C E，X The operation status of the long-distance crude oil pipeline includes the order and volume of crude oil transported in the pipeline, the type of crude oil in the i-th batch x the pipeline volume C X，i , average pipeline flow V P ; The shipping schedule includes the purchase date of the i-th batch of crude oil t B，X，i , Arrival date X，i , Crude oil type X, Crude oil purchasing capacity C X，i The sequential delivery plan of the first oil delivery station also includes the arrival time t of the i-th batch of crude oil X E，X，i The crude oil processing plan includes the atmospheric and vacuum processing volume Q P , X crude oil blending processing ratio x P , Y crude oil blending processing ratio y P ; The planned pipeline flow is recorded as V P，P , the initial pipeline transportation plan is recorded as C X，P，i ; The starting time is recorded as t0; the crude oil processing plan records the normal and vacuum processing volume Q, the X crude oil blending processing ratio x, the Y crude oil blending processing ratio y, and the main crude oil evaluation data A of X crude oil X .

[0029] Furthermore, in step S4.2, the method for evaluating whether the cycle from crude oil procurement to unloading meets the requirements of the first oil delivery station, the terminal oil collection and crude oil processing is as follows:

[0030] The main factor affecting the crude oil from procurement to unloading at the port is the payable capacity C of the first oil delivery station. S -C S，min When the payable capacity is 0, the pipeline will stop transporting oil. If the storage tank capacity of the first oil delivery station reaches the actual maximum safe capacity C S，max , it means that the shipping schedule is too dense and the first oil delivery station cannot further store the oil, resulting in demurrage and the assessment fails;

[0031] The specific method for evaluating whether the ship schedule can meet the initial pipeline transportation plan is as follows. Within the same calculation period, if the conditions are met:

[0032] C S，min =ΣC S，L，N ·S S，N , S S，N When both are 1 (available), C S，min =C S，MIN

[0033] C S，max =ΣC S，H，N ·S S，N , S S，N When both are 1 (available), C S，max =C S，MAX

[0034] C S =ΣC S，N ·S S，N +ΣC X，i -ΣC X，P，i

[0035] C S，MIN <C S，min <C S <C S，max <C S，MAX

[0036] The assessment passes.

[0037] Furthermore, the specific method of evaluating whether the ship schedule can meet the initial pipeline transportation plan and evaluating whether the ship schedule can meet the operation requirements of the first oil delivery station in step S4.2 is as follows: within the same calculation cycle, if the conditions are met:

[0038] C S =ΣC S，N ·S S，N +ΣC X，i -ΣC X，P，i

[0039] C S，MIN <C S，min <C S <C S，max <C S，MAX

[0040] C S，X =ΣC S，X，N ·S S，X，N +ΣC X，i -ΣC X，P，i

[0041] C S，X，min <C S，X <C S，X，max

[0042] The assessment passes.

[0043] Furthermore, in step S4.3, the specific method of evaluating whether the initial pipeline transportation plan can meet the operation demand of the first oil delivery station according to the crude oil shipping schedule is as follows: within the same calculation cycle, if the conditions are met:

[0044] t E，X，i >t S，X，i >t X，n +T u >t B，X，n +T b

[0045] t E，X，i =t S，X，i +C P / V P，P

[0046] The assessment passes.

[0047] Furthermore, the method for evaluating whether the initial pipeline transportation plan and the crude oil blending and processing plan can meet the operation requirements of the oil receiving terminal in step S4.4.1 and step S4.4.2 is as follows: if the conditions are met:

[0048] C E，min =ΣC E，L，n ·S E，n , S S，n When both are 1 (available), C E，min =C E，MIN

[0049] C E，max =ΣC E，H，n ·S E，n , S S，n When both are 1 (available), C E，max =C E，MAX

[0050] C E =ΣC E，n ·S E，n +ΣC X，i -ΣQ P

[0051] C E，MIN<C E，min <C E <C E，max <C E，MAX

[0052] The assessment passes.

[0053] Furthermore, the specific method for evaluating whether the crude oil blending processing plan can meet the refinery processing plan in step S4.5 is as follows: if the conditions are met:

[0054] C E =ΣC E，n ·S E，n +ΣC X，i -ΣQ P

[0055] C E，MIN <C E，min <C E <C E，max <C E，MAX

[0056] C E，X =ΣC E，X，n ·S E，X，n +ΣC X，P，i -ΣQ P x P

[0057] C E，X，min <C E，X <C E，X，max

[0058] Mixed crude oil properties A mix =ΣA X x P If both meet the requirements of normal pressure reduction and subsequent processing equipment feeding, the assessment is passed.

[0059] The present invention has the following beneficial effects compared with the prior art:

[0060] The present invention combines real-time production data and rule conditions to realize the continuous rolling calculation and preparation of the plan, dynamically evaluates the feasibility of short-term and long-term shipping schedules, pipeline transportation sequence, pipeline transportation flow, crude oil types, crude oil storage and crude oil blending and processing, facilitates the preparation and revision of the crude oil pipeline sequential transportation plan, and avoids errors in the crude oil pipeline sequential transportation plan that lead to failures in the crude oil pipeline sequential transportation and affect the operation of the enterprise; the method can be used to optimize the crude oil pipeline sequential transportation operation of oil refining enterprises with long-distance crude oil pipeline sequential transportation.

[0061] At the same time, the evaluation method is used to optimize the plan, making the long-distance crude oil pipeline transportation plan more reasonable, reducing the probability of operational accidents in actual pipeline operations, avoiding transportation delays that lead to reduced crude oil quality, improving the feasibility of the overall plan, meeting the stability of the phased crude oil blending properties, and ensuring crude oil quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 This is a flow chart of the evaluation method described in an embodiment of the present invention;

[0063] Figure 2 This is a flow chart of step S4 in the evaluation method according to an embodiment of the present invention;

[0064] Figure 3 The starting point and main parameters of the long-distance pipeline transportation described in the embodiment of the present invention;

[0065] Figure 4 It is the data evaluation of crude oil purchasing and loading and unloading described in the embodiment of the present invention;

[0066] Figure 5 Data evaluation for the operation part of the first oil distribution station and the pipeline transportation part according to the embodiment of the present invention;

[0067] Figure 6 It is the data evaluation of the terminal oil collection and atmospheric and vacuum processing described in the embodiment of the present invention;

[0068] Figure 7 It is part of the data evaluation of crude oil blending properties described in the embodiment of the present invention;

[0069] Figure 8 Output of crude oil blending plan and crude oil blending property data according to the embodiment of the present invention;

[0070] Fig. 9 Output of a trend graph of crude oil blending properties according to an embodiment of the present invention;

[0071] Fig.10 It is a summary output of the main properties of the crude oil blending properties described in the embodiment of the present invention. DETAILED DESCRIPTION

[0072] In order to make the technical means and creative features realized by the present invention and achieve the purpose of being easy to understand, the technical solution of the invention is further explained below in conjunction with one embodiment and a specific implementation method of a method for dynamic evaluation of the feasibility of a pipeline transportation plan given by the present invention.

[0073] like Figure 1-10 As shown, the specific embodiments given for the invention are as follows:

[0074] In the embodiment Figure 3As shown here, there is crude oil that needs to be transported from Made Island to Lufeng Station Yunnan Petrochemical via Ruili Station. Among them, the crude oil pipeline starts from the first crude oil station of Made Island, Myanmar, enters China from Nankan, and the domestic section starts from Ruili, Yunnan, and finally delivers to Anning crude oil terminal, with a total length of 1418km. The total length of the line outside Myanmar is about 770.5km, the pipe diameter is Φ813mm, and the average wall thickness is about 12mm. The length of the domestic section of the line from Ruili to Lufeng in China is 605.9km, the pipe diameter is Φ813mm, the average wall thickness is about 12mm, and the Lufeng to Anning branch line is 42.8km, the pipe diameter is Φ610mm, and the average wall thickness is about 9mm. The total volume of the pipeline is about 685,000 cubic meters. The first crude oil station of Made Island is equipped with 12 100,000 cubic meter crude oil storage tanks, Ruili is equipped with 3 50,000 cubic meter bypass buffer tanks, and Yunnan Petrochemical is equipped with 10 100,000 cubic meter crude oil storage tanks.

[0075] A method for dynamically evaluating the feasibility of a pipeline transportation plan, by clarifying key parameters and key control nodes in the transportation process, and dynamically evaluating the feasibility of a subsequent pipeline transportation plan in real time according to the real-time key parameters of each key control node; the method comprises the following steps:

[0076] S1, start the preparation phase, input basic data into the system; basic data includes crude oil loading and unloading cycle, storage tank parameters of the first oil delivery station, storage tank parameters of the terminal oil receiving station, long-distance crude oil pipeline parameters and crude oil processing data. The crude oil loading and unloading cycle includes the procurement turnaround time T b , unloading turnaround time T u The storage tank parameters of the first oil delivery station include the maximum safe capacity C S，MAX , minimum safe capacity C S，MIN , the safe minimum operating capacity of the Nth storage tank is C S，L，N , maximum operating capacity C S，H，N The oil receiving terminal storage tank parameters include the maximum safe capacity C E，MAX , minimum safe capacity C E，MIN , the safe minimum operating capacity of the nth tank C E，L，n , maximum operating capacity C E，H，n , standing dehydration time T W The long-distance crude oil pipeline parameters and crude oil processing data include pipeline volume C P .

[0077] S2, real-time data collection stage, collects data and actual operation status of pipelines, storage tanks, pipeline equipment at each station, and inputs them into the system as real-time data. The real-time data includes the determination of the measurement start time, the storage tank status of the first oil delivery station, the pipeline operation status, the storage tank status of the oil receiving terminal, and the operation status of the long-distance crude oil pipeline. The storage tank status of the first oil delivery station includes the actual maximum safe capacity C S，max , the actual minimum safety capacity C S，min , actual capacity C S , the capacity of the Nth storage tank is CS，N , start and stop status S S，N , crude oil type X and storage tank capacity C S，X , the start time of transportation of the i-th batch of crude oil X is t S，X，i The state of the oil receiving terminal storage tank includes the actual capacity C E , the start and stop status of the nth storage tank S E，n , crude oil type X and storage tank capacity C E，X，n , the actual maximum safety capacity C E，max , the actual minimum safety capacity C E，min , X crude oil available capacity C E，X The operation status of the long-distance crude oil pipeline includes the order and volume of crude oil transported in the pipeline, the type of crude oil in the i-th batch x the pipeline volume C X，i , average pipeline flow V P .

[0078] S3, input planning data, formulate planning data according to actual use needs and working conditions, and input planning data into the system; planning data includes ship schedule, first station sequential transportation plan, crude oil blending and processing plan; first station sequential transportation plan includes pipeline transportation plan flow and initial pipeline transportation plan. Ship schedule includes the purchase date t of the i-th batch of crude oil B，X，i , Arrival date X，i , Crude oil type X, Crude oil purchasing capacity C X，i The sequential delivery plan of the first oil delivery station also includes the arrival time t of the i-th batch of crude oil X E，X，i The crude oil processing plan includes the atmospheric and vacuum processing volume Q P , X crude oil blending processing ratio x P , Y crude oil blending processing ratio y P ; The planned pipeline flow is recorded as V P，P , the initial pipeline transportation plan is recorded as C X，P，i ; The starting time is recorded as t0; the crude oil processing plan records the normal and vacuum processing volume Q, the X crude oil blending processing ratio x, the Y crude oil blending processing ratio y, and the main crude oil evaluation data A of X crude oil X .

[0079] S4, evaluate and judge and output the results. The feasibility of the pipeline transportation plan is evaluated and judged based on the data input in S1 to S3. When the initial pipeline transportation plan data cannot be met, the plan data is adjusted in time and evaluated and judged again, and finally the feasibility result of the pipeline transportation plan is output.

[0080] Step S4 evaluates, judges and outputs the results. The specific steps are as follows:

[0081] S4.1, read the ship schedule, the first oil station sequential transportation plan and the crude oil blending and processing plan respectively.

[0082] S4.2, including crude oil procurement, loading and unloading, and first oil dispatch station operation.

[0083] The crude oil procurement and loading and unloading part needs to evaluate whether the cycle from crude oil procurement to unloading meets the oil delivery demand of the first oil delivery station, the terminal oil collection and crude oil processing demand. If not, update the ship schedule; evaluate whether the ship schedule can meet the initial pipeline transportation plan. If not, update the ship schedule. The specific method for evaluating whether the cycle from crude oil procurement to unloading meets the oil delivery demand of the first oil delivery station, the terminal oil collection and crude oil processing demand is as follows:

[0084] The main factor affecting the crude oil from procurement to unloading at the port is the payable capacity C of the first oil delivery station. S -C S，min When the payable capacity is 0, the pipeline will stop transporting oil. If the storage tank capacity of the first oil delivery station reaches the actual maximum safe capacity C S，max , it means that the shipping schedule is too dense and the first oil delivery station cannot further store the oil, resulting in demurrage and the assessment fails;

[0085] The specific method for evaluating whether the ship schedule can meet the initial pipeline transportation plan is as follows. Within the same calculation period, if the conditions are met:

[0086] C S，min =ΣC S，L，N ·S S，N , S S，N When both are 1 (available), C S，min =C S，MIN

[0087] C S，max =ΣC S，H，N ·S S，N , S S，N When both are 1 (available), C S，max =C S，MAX

[0088] C S =ΣC S，N ·S S，N +ΣC X，i -ΣC X，P，i

[0089] C S，MIN <C S，min <C S <C S，max <C S，MAX

[0090] The evaluation is passed. In this embodiment, the evaluation data is as follows Figure 4 As shown, errors in data calculation will result in failure in the assessment.

[0091] The operation part of the first oil dispatch station needs to evaluate whether the ship schedule can meet the operation requirements of the first oil dispatch station. If it cannot pass the evaluation, the ship schedule will be updated; evaluate whether the initial pipeline plan can meet the operation requirements of the first oil dispatch station. After traversing the initial pipeline plan, if the overall plan still cannot be evaluated, the ship schedule will be updated; when all the above conditions are met, enter the next evaluation stage. The specific methods for evaluating whether the ship schedule can meet the initial pipeline plan and evaluating whether the ship schedule can meet the operation requirements of the first oil dispatch station are as follows. In the same calculation cycle, if the conditions are met:

[0092] C S =ΣC S，N ·S S，N +ΣC X，i -ΣC X，P，i

[0093] C S，MIN <C S，min <C S <C S，max <C S，MAX

[0094] C S，X =ΣC S，X，N ·S S，X，N +ΣC X，i -ΣC X，P，i

[0095] C S，X，min <C S，X <C S，X，max

[0096] The evaluation is passed. In this embodiment, the evaluation data is as follows Figure 5 As shown, errors in data calculation will result in failure in the assessment.

[0097] S4.3 is the pipeline transportation part; according to the crude oil shipping schedule, the initial pipeline transportation plan is evaluated to see whether it can meet the operation requirements of the first oil delivery station. If it fails to pass the evaluation, the initial pipeline transportation plan is updated. If it still fails to pass the evaluation after multiple updates, the crude oil shipping schedule is updated; if it passes the evaluation, proceed to the next step. According to the crude oil shipping schedule, the specific method of evaluating whether the initial pipeline transportation plan can meet the operation requirements of the first oil delivery station is as follows: within the same calculation cycle, if the conditions are met:

[0098] t E，X，i >t S，X，i >t X，n +T u >t B，X，n +T b

[0099] t E，X，i =t S，X，i +C P / V P，P

[0100] The evaluation is passed. In this embodiment, the evaluation data is as follows Figure 5 As shown, errors in data calculation will result in failure in the assessment.

[0101] S4.4 is the terminal oil receiving part; according to the initial pipeline transportation plan and crude oil blending and processing plan, evaluate whether the operation requirements of the terminal oil receiving part are met:

[0102] S4.4.1, evaluate whether the initial pipeline transportation plan can meet the operational requirements of the oil receiving terminal, and update the initial pipeline transportation plan if it cannot pass the evaluation;

[0103] S4.4.2, evaluate whether the crude oil blending and processing plan can meet the operating requirements of the oil receiving terminal. If it fails to pass the evaluation, update the crude oil blending and processing plan. If it passes the evaluation, proceed to the next step. The method for evaluating the initial pipeline transportation plan and evaluating whether the crude oil blending and processing plan can meet the operating requirements of the oil receiving terminal is as follows. If the conditions are met:

[0104] C E，min =ΣC E，L，n ·S E，n , S S，n When both are 1 (available), C E，min =C E，MIN

[0105] C E，max =ΣC E，H，n ·S E，n , S S，n When both are 1 (available), C E，max =C E，MAX

[0106] C E =ΣC E，n ·S E，n +ΣC X，i -ΣQ P

[0107] C E，MIN <C E，min <C E <C E，max <C E，MAX

[0108] The evaluation is passed. In this embodiment, the evaluation data is as follows Figure 6 As shown, errors in data calculation will result in failure in the assessment.

[0109] S4.5 is the atmospheric and vacuum processing part; evaluate whether the crude oil blending processing plan can meet the refinery processing plan. If it fails to pass the evaluation, the crude oil blending processing plan is updated; if it passes the evaluation, it is determined that the pipeline transportation plan is executable. The specific method for evaluating whether the crude oil blending processing plan can meet the refinery processing plan is as follows: If the conditions are met:

[0110] C E =ΣC E，n ·S E，n +ΣC X，i -ΣQ P

[0111] C E，MIN <C E，min <C E <C E，max <C E，MAX

[0112] C E，X =ΣC E，X，n ·S E，X，n +ΣC X，P，i -ΣQ P x P

[0113] C E，X，min <C E，X <C E，X，max

[0114] Mixed crude oil properties A mix =ΣA X x P If the requirements of atmospheric pressure reduction and subsequent processing equipment feeding are met, the evaluation is passed. Figure 6 As shown, errors in data calculation will result in failure in the assessment.

[0115] In this embodiment Figure 7-Figure 10 Indicates the result of crude oil property calculation; Figure 7 Shown is the collection of data for each rolling assessment. Figure 8-Figure 10 It is the statistical result of this set of data within a period of time. The evaluation and correction of the pipeline transportation plan through this evaluation method greatly increases the feasibility of the pipeline transportation plan, avoids accidents in the pipeline transportation process, and ensures the quality of crude oil.

[0116] It should be understood that the above specific embodiments of the present invention are only used to illustrate or explain the principles of the present invention, and do not constitute a limitation of the present invention. Therefore, any modifications, equivalent substitutions, improvements, etc. made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. In addition, the appended claims of the present invention are intended to cover all changes and modifications that fall within the scope and boundaries of the appended claims, or the equivalent forms of such scope and boundaries.

Claims

1. A method for dynamically evaluating the feasibility of a pipeline transportation plan, which dynamically evaluates the feasibility of a subsequent pipeline transportation plan in real time according to the real-time key parameters of each key control node by clarifying the key parameters and key control nodes in the transportation process; characterized in that: The following steps are involved: S1, start the preparation phase and enter basic data into the system; S2, the real-time data collection stage, collects the data of pipelines, storage tanks, pipeline equipment and actual operation status of each site as real-time data input into the system; S3, input planning data, formulate planning data according to actual use requirements and working conditions, and input planning data into the system; planning data includes ship schedule, sequential transportation plan of the first oil delivery station, and crude oil blending and processing plan; the sequential transportation plan of the first oil delivery station includes pipeline transportation planned flow rate and initial pipeline transportation plan; S4, evaluate and judge and output the results. The feasibility of the pipeline transportation plan is evaluated and judged based on the data input in S1 to S3. When the initial pipeline transportation plan data cannot be met, the plan data is adjusted in time and evaluated and judged again, and finally the feasibility result of the pipeline transportation plan is output.

2. A method for dynamically evaluating the feasibility of a pipeline transportation plan according to claim 1, characterized in that: The specific steps of step S4 of evaluating, judging and outputting the results are as follows: S4.1, read the ship schedule, the first oil station sequential transportation plan and the crude oil blending and processing plan respectively; S4.2, evaluate whether the cycle from crude oil procurement to unloading meets the oil delivery demand of the first oil delivery station, the terminal oil collection and crude oil processing demand, if not, update the shipping plan; evaluate whether the shipping plan can meet the initial pipeline transportation plan, if not, update the shipping plan; evaluate whether the shipping plan can meet the operation demand of the first oil delivery station, if not, update the shipping plan; Evaluate whether the initial pipeline transportation plan can meet the operation requirements of the first oil delivery station. After traversing the initial pipeline transportation plan, if the overall plan still cannot be evaluated, update the ship schedule; When all the above conditions are met, the next evaluation stage will be entered; S4.3, evaluate whether the initial pipeline transportation plan can meet the operation requirements of the first oil delivery station according to the crude oil shipping schedule. If the initial pipeline transportation plan cannot pass the evaluation, update the initial pipeline transportation plan. If the initial pipeline transportation plan still cannot pass the evaluation after multiple updates, update the crude oil shipping schedule; If you pass the assessment, proceed to the next step; S4.4, evaluate whether the initial pipeline transportation plan and crude oil blending and processing plan meet the operation requirements of the terminal oil receiving part according to the initial pipeline transportation plan and crude oil blending and processing plan. If it fails, update the initial pipeline transportation plan or crude oil blending and processing plan; if it passes the evaluation, proceed to the next step; S4.5, evaluate whether the crude oil blending and processing plan can meet the refinery processing plan. If it fails the evaluation, the crude oil blending and processing plan is updated; if it passes the evaluation, it is determined that the pipeline transportation plan is executable.

3. A pipeline transportation plan executability dynamic evaluation method as claimed in claim 2, characterized in that: The step S4.4 comprises: S4.4.1, evaluate whether the initial pipeline transportation plan can meet the operational requirements of the oil receiving terminal, and update the initial pipeline transportation plan if it cannot pass the evaluation; S4.4.2, evaluate whether the crude oil blending and processing plan can meet the operational needs of the oil receiving terminal. If it cannot pass the evaluation, update the crude oil blending and processing plan.

4. A pipeline transportation plan executability dynamic evaluation method as claimed in claim 3, characterized in that: The basic data include crude oil loading and unloading cycle, storage tank parameters of the first oil delivery station, storage tank parameters of the terminal oil receiving station, long-distance crude oil pipeline parameters and crude oil processing data; the real-time data include determination of the measurement start time, storage tank status of the first oil delivery station, pipeline operation status, storage tank status of the terminal oil receiving station, and operation status of the long-distance crude oil pipeline.

5. A pipeline transportation plan executability dynamic evaluation method according to claim 4, characterized in that: The crude oil loading and unloading cycle includes the procurement turnaround time T b , unloading turnaround time T u The storage tank parameters of the first oil delivery station include the maximum safe capacity C S，MAX , minimum safe capacity C S，MIN , the safe minimum operating capacity of the Nth storage tank is C S，L，N , maximum operating capacity C S，H，N The oil receiving terminal storage tank parameters include the maximum safe capacity C E，MAX , minimum safe capacity C E，MIN , the safe minimum operating capacity of the nth storage tank C E，L，n , maximum operating capacity C E，H，n , static dehydration time T W The long-distance crude oil pipeline parameters and crude oil processing data include pipeline volume C P ; The storage tank status of the first oil delivery station includes the actual maximum safe capacity C S，max , the actual minimum safety capacity C S，min , actual capacity C S , the capacity of the Nth storage tank is C S，N , start and stop status S S，N , crude oil type X and storage tank capacity C S，X , the start time of transportation of the i-th batch of crude oil X is t S，X，i The state of the oil receiving terminal storage tank includes the actual capacity C E , the start and stop status of the nth storage tank S E，n , crude oil type X and storage tank capacity C E，X，n , the actual maximum safety capacity C E，max , the actual minimum safety capacity C E，min , X crude oil available capacity C E，X The operation status of the long-distance crude oil pipeline includes the order and volume of crude oil transported in the pipeline, the type of crude oil in the i-th batch x the pipeline volume C X，i , average pipeline flow V P ; The shipping schedule includes the purchase date of the i-th batch of crude oil t B，X，i , Arrival date X，i , Crude oil type X, Crude oil purchasing capacity C X，i The sequential delivery plan of the first oil delivery station also includes the arrival time t of the i-th batch of crude oil X E，X，i The crude oil processing plan includes the atmospheric and vacuum processing volume Q P , X crude oil blending processing ratio x P , Y crude oil blending processing ratio y P ; The planned pipeline flow is recorded as V P，P , the initial pipeline transportation plan is recorded as C X，P，i ; The starting time is recorded as t0; the crude oil processing plan records the normal and vacuum processing volume Q, the X crude oil blending processing ratio x, the Y crude oil blending processing ratio y, and the main crude oil evaluation data A of X crude oil X .

6. A method for dynamically evaluating the feasibility of a pipeline transportation plan according to claim 5, characterized in that: The method for evaluating whether the cycle from crude oil procurement to unloading meets the requirements of the first oil delivery station, the terminal oil collection and crude oil processing in step S4.2 is as follows: The main factor affecting the crude oil from procurement to unloading at the port is the payable capacity C of the first oil delivery station. S -C S，min When the payable capacity is 0, the pipeline will stop transporting oil. If the storage tank capacity of the first oil delivery station reaches the actual maximum safe capacity C S，max , it means that the shipping schedule is too dense and the first oil delivery station cannot further store the oil, resulting in demurrage and the assessment fails; The specific method for evaluating whether the ship schedule can meet the initial pipeline transportation plan is as follows. Within the same calculation period, if the conditions are met: C S，min =ΣC S，L，N ·S S，N , S S，N When both are 1 (available), C S，min =C S，MIN C S，max =ΣC S，H，N ·S S，N , S S，N When both are 1 (available), C S，max =C S，MAX C S =ΣC S，N ·S S，N +ΣC X，i -ΣC X，P，i C S，MIN <C S，min <C S <C S，max <C S，MAX The assessment passes.

7. A pipeline transportation plan executability dynamic evaluation method according to claim 5, characterized in that: The specific method for evaluating whether the ship schedule can meet the initial pipeline transportation plan and evaluating whether the ship schedule can meet the operation requirements of the first oil delivery station in step S4.2 is as follows. Within the same calculation cycle, if the conditions are met: C S =ΣC S，N ·S S，N +ΣC X，i -ΣC X，P，i C S，MIN <C S，min <C S <C S，max <C S，MAX C S，X =ΣC S，X，N ·S S，X，N +ΣC X，i -ΣC X，P，i C S，X，min <C S，X <C S，X，max The assessment passes.

8. A method for dynamically evaluating the feasibility of a pipeline transportation plan according to claim 5, characterized in that: In step S4.3, the specific method of evaluating whether the initial pipeline transportation plan can meet the operation demand of the first oil delivery station according to the crude oil shipping schedule is as follows: within the same calculation cycle, if the conditions are met: t E，X，i >t S，X，i >t X，n +T u >t B，X，n +T b t E，X，i =t S，X，i +C P / V P，P The assessment passes.

9. A pipeline transportation plan executability dynamic evaluation method according to claim 5, characterized in that: The method for evaluating whether the initial pipeline transportation plan and the crude oil blending and processing plan can meet the operation requirements of the oil receiving terminal in step S4.4.1 and step S4.4.2 is as follows, if the conditions are met: C E，min =ΣC E，L，n ·S E，n , S S，n When both are 1 (available), C E，min =C E，MIN C E，max =ΣC E，H，n ·S E，n , S S，n When both are 1 (available), C E，max =C E，MAX C E =ΣC E，n ·S E，n +ΣC X，i -ΣQ P C E，MIN <C E，min <C E <C E，max <C E，MAX The assessment passes.

10. A method for dynamically evaluating the feasibility of a pipeline transportation plan according to claim 5, characterized in that: The specific method for evaluating whether the crude oil blending processing plan can meet the refinery processing plan in step S4.5 is as follows: C E =ΣC E，n ·S E，n +ΣC X，i -ΣQ P C E，MIN <C E，min <C E <C E，max <C E，MAX C E，X =ΣC E，X，n ·S E，X，n +ΣC X，P，i -ΣQ P x P C E，X，min <C E，X <C E，X，max Mixed crude oil properties A mix =ΣA X x P If both meet the requirements of normal pressure reduction and subsequent processing equipment feeding, the assessment is passed.

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