CN113065681B - Energy optimization method and device for oilfield gathering and transportation treatment system - Google Patents
Energy optimization method and device for oilfield gathering and transportation treatment system Download PDFInfo
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Abstract
The disclosure provides an energy optimization method and device for an oilfield gathering and transportation treatment system, and belongs to the field of crude oil gathering and transportation treatment processes. The energy optimization method comprises the following steps: respectively simulating the operation process of each subsystem in the oilfield gathering and transportation processing system under the energy consumption adjusting parameters with different sizes by adopting a simulation model to obtain the energy consumption calculating parameters of each subsystem corresponding to the different energy consumption adjusting parameters; according to the energy consumption calculation parameters of the subsystems corresponding to different energy consumption adjustment parameters, determining the minimum value of the total energy consumption of all the subsystems in the oilfield gathering and transportation processing system and the optimal energy consumption adjustment parameter, wherein the optimal energy consumption adjustment parameter is the energy consumption adjustment parameter corresponding to the minimum value of the total energy consumption; and controlling the operation process of each subsystem according to the optimal energy consumption adjusting parameters. The present disclosure may enable energy optimization of an oilfield gathering and transportation processing system.
Description
Technical Field
The disclosure relates to the field of crude oil gathering and transportation processing technology, in particular to an energy optimization method and device of an oilfield gathering and transportation processing system.
Background
The oil field gathering and transportation treatment system collects and processes crude oil and oil field gas produced by each oil well of the oil field and respectively conveys the crude oil and the oil field gas to a mine oil depot or an external transportation station and a gas compression station.
The oilfield gathering and transportation processing system generally comprises an oil gas gathering and transportation subsystem, a dehydration station subsystem, an original stability subsystem and an associated gas processing subsystem which are communicated in sequence. The oil and gas gathering and transporting subsystem gathers petroleum, associated natural gas and other products produced by the scattered oil wells. The dewatering station subsystem removes the water accompanying the crude oil in a free state or an emulsion state by using a physical or chemical method so that the water content reaches a specified standard. The original steady subsystem is to separate light hydrocarbon from crude oil and recycle the light hydrocarbon after sealing treatment of crude oil collected and transported in oil field. The associated gas treatment subsystem is used for treating the recovered associated gas so as to produce stable light hydrocarbon and dry gas. Therefore, all subsystems of the oilfield gathering and transportation processing system are required to consume energy to process crude oil, and the energy consumption is high.
Disclosure of Invention
The embodiment of the disclosure provides an energy optimization method and device for an oilfield gathering and transportation processing system, which can optimize the energy consumption of the oilfield gathering and transportation processing system and reduce the operation cost of the oilfield gathering and transportation processing system. The technical scheme is as follows:
in one aspect, an embodiment of the present disclosure provides an energy optimization method for an oilfield gathering and transportation processing system, the energy optimization method including:
Respectively simulating the operation process of each subsystem in the oilfield gathering and transportation processing system under the energy consumption adjusting parameters with different sizes by adopting a simulation model to obtain the energy consumption calculating parameters of each subsystem corresponding to the different energy consumption adjusting parameters;
determining the minimum value of the total energy consumption of all subsystems in the oilfield gathering and transportation processing system and the optimal energy consumption regulating parameter according to the energy consumption calculation parameters of the subsystems corresponding to different energy consumption regulating parameters, wherein the optimal energy consumption regulating parameter is the energy consumption regulating parameter corresponding to the minimum value of the total energy consumption;
and controlling the operation process of each subsystem according to the optimal energy consumption adjusting parameters.
Optionally, the determining, according to the energy consumption calculation parameters of the respective subsystems corresponding to different energy consumption adjustment parameters, a minimum value of total energy consumption of all subsystems in the oilfield gathering and transportation processing system and an optimal energy consumption adjustment parameter includes:
Determining the minimum value of the total energy consumption of all subsystems in the oilfield gathering and transportation processing system by adopting a genetic algorithm with the constraint condition that the operation parameters of the simulation model do not exceed the set range;
And determining the energy consumption adjusting parameter corresponding to the minimum value of the total energy consumption as an optimal energy consumption adjusting parameter.
Optionally, before the simulation model is adopted to simulate the operation process of each subsystem in the oilfield gathering and transportation processing system under the energy consumption adjustment parameters with different sizes respectively to obtain the energy consumption calculation parameters of each subsystem corresponding to the different energy consumption adjustment parameters, the energy optimization method further comprises:
acquiring the operation parameters of the subsystem, wherein the operation parameters are measured parameters in the operation process;
And correcting the design parameters of the simulation model according to the operation parameters of the subsystem until the operation parameters of the simulation model are equal to the operation parameters of the subsystem, wherein the design parameters are parameters adopted in process design.
Optionally, before the acquiring the operation parameters of the subsystem, the energy optimization method further includes:
obtaining a simulation model of the subsystem;
and taking the design parameters of the subsystem as the design parameters of the simulation model.
Optionally, before the determining the minimum value of the total energy consumption of all the subsystems in the oilfield centralized processing system and the optimal energy consumption adjustment parameter according to the energy consumption calculation parameters of the respective subsystems corresponding to different energy consumption adjustment parameters, the energy optimization method further includes:
And determining the part with abnormal energy consumption in the subsystem according to the energy consumption calculation parameters of the subsystem.
In another aspect, embodiments of the present disclosure provide an energy optimization device for an oilfield gathering and transportation processing system, the energy optimization device:
The parameter determining module is used for respectively simulating the operation process of each subsystem in the oilfield gathering and transportation processing system under the energy consumption adjusting parameters with different sizes by adopting a simulation model to obtain the energy consumption calculating parameters of each subsystem corresponding to the different energy consumption adjusting parameters;
The energy consumption determining module is used for determining the minimum value of the total energy consumption of all the subsystems in the oilfield gathering and processing system and the optimal energy consumption adjusting parameter according to the energy consumption calculation parameters of the subsystems corresponding to different energy consumption adjusting parameters, wherein the optimal energy consumption adjusting parameter is the energy consumption adjusting parameter corresponding to the minimum value of the total energy consumption;
And the control module is used for controlling the operation process of each subsystem according to the optimal energy consumption adjusting parameters.
Optionally, the energy consumption determining module is configured to,
Determining the minimum value of the total energy consumption of all subsystems in the oilfield gathering and transportation processing system by adopting a genetic algorithm with the constraint condition that the operation parameters of the simulation model do not exceed the set range;
And determining the energy consumption adjusting parameter corresponding to the minimum value of the total energy consumption as an optimal energy consumption adjusting parameter.
Optionally, the energy optimizing device further comprises:
The parameter acquisition module is used for acquiring the operation parameters of the subsystems before the operation processes of the subsystems in the oilfield gathering and transportation processing system under the energy consumption adjustment parameters with different sizes are respectively simulated by adopting a simulation model to obtain the energy consumption calculation parameters of the subsystems corresponding to the different energy consumption adjustment parameters, wherein the operation parameters are parameters measured in the operation process;
and the correction module is used for correcting the design parameters of the simulation model according to the operation parameters of the subsystem until the operation parameters of the simulation model are equal to the operation parameters of the subsystem, wherein the design parameters are parameters adopted in process design.
Optionally, the energy optimizing device further comprises:
The model acquisition module is used for acquiring a simulation model of the subsystem before acquiring the operation parameters of the subsystem;
and the value taking module is used for taking the design parameters of the subsystem as the design parameters of the simulation model.
Optionally, the energy optimizing device further comprises:
And the analysis module is used for determining the part with abnormal energy consumption in the subsystem according to the energy consumption calculation parameters of the subsystem before determining the minimum value of the total energy consumption of all the subsystems in the oilfield gathering and transportation processing system and the optimal energy consumption adjustment parameters according to the energy consumption calculation parameters of the subsystems.
The technical scheme provided by the embodiment of the disclosure has the beneficial effects that at least:
By adopting the simulation model to simulate the operation process of the subsystem in the oilfield gathering and transportation processing system under the energy consumption adjusting parameters with different sizes, the energy consumption calculating parameters of the subsystem corresponding to the different energy consumption adjusting parameters can be obtained correspondingly. And determining the total energy consumption of all the subsystems according to the energy consumption calculation parameters of the subsystems corresponding to different energy consumption adjustment parameters, and determining the minimum value and the energy consumption adjustment parameters corresponding to the minimum value, thereby obtaining the optimal energy consumption adjustment parameters adopted when the total energy consumption of the oilfield gathering and transportation processing system reaches the minimum value. And finally, controlling the subsystem according to the obtained optimal energy consumption regulation parameters, so that the total energy consumption of the oil field gathering and transportation processing system can reach the minimum value, the energy optimization of the oil field gathering and transportation processing system is realized, and the operation cost of the oil field gathering and transportation processing system is effectively reduced under the condition that the normal operation of the oil field gathering and transportation processing system is ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings required for the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings may be obtained according to these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 is an application scenario diagram of an energy optimization method for an oilfield gathering and transportation processing system provided by an embodiment of the present disclosure;
FIG. 2 is a flow chart of a method of energy optimization for an oilfield gathering and processing system provided in an embodiment of the disclosure;
FIG. 3 is a flow chart of a method of energy optimization for an oilfield gathering and processing system provided in an embodiment of the disclosure;
Fig. 4 is a schematic structural diagram of an energy optimizing device of an oilfield gathering and transportation processing system according to an embodiment of the disclosure.
Detailed Description
For the purposes of clarity, technical solutions and advantages of the present disclosure, the following further details the embodiments of the present disclosure with reference to the accompanying drawings.
Fig. 1 is an application scenario diagram of an energy optimization method of an oilfield gathering and transportation processing system according to an embodiment of the disclosure. Referring to fig. 1, the oilfield gathering and transportation processing system may include an oil and gas gathering and transportation subsystem 20, a dewatering station subsystem 30, an origin stabilization subsystem 40, and an associated gas processing subsystem 50, which are in sequential communication. Wherein the oil and gas gathering and transporting subsystem 20 gathers the petroleum and associated natural gas produced by the dispersed oil well. The dewatering station subsystem 30 physically or chemically removes water associated with the crude oil in a free or emulsion state to bring the water to a specified level. The primary stability subsystem 40 is used for separating and recycling light hydrocarbons from crude oil which is hermetically collected and conveyed on an oil field through hermetic treatment. The associated gas processing subsystem 50 processes the recovered associated gas to produce stable light hydrocarbons and dry gas.
In practice, the oil and gas gathering subsystem 20, the dewatering station subsystem 30, the primary stability subsystem 40, and the associated gas processing subsystem 50 all require energy to process crude oil. The oil and gas gathering and transportation subsystem 20 is used for consuming energy to increase the temperature and pressure of the crude oil so as to realize the transportation of the crude oil. The dewatering station subsystem 30 is energy consuming to remove water and associated gas from the crude oil. The primary stability subsystem 40 is energy consuming to separate light hydrocarbons from crude oil. The associated gas processing subsystem 50 is energy consuming to separate light hydrocarbons from the feed gas.
The embodiment of the disclosure provides an energy optimization method of an oilfield gathering and transportation processing system. Fig. 2 is a flowchart of an energy optimization method of an oilfield gathering and transportation processing system according to an embodiment of the disclosure. Referring to fig. 2, the energy optimization method includes:
Step 201: and respectively simulating the operation process of each subsystem in the oilfield gathering and transportation processing system under the energy consumption adjusting parameters with different sizes by adopting a simulation model to obtain the energy consumption calculating parameters of each subsystem corresponding to the different energy consumption adjusting parameters.
In this embodiment, the energy consumption adjustment parameter is a parameter selected from energy consumption calculation parameters for adjustment, and the energy consumption calculation parameter is a parameter used for energy consumption calculation. Because of the logical relation of the process system, each data are linked, so that after the data of the energy consumption adjusting parameter are changed, the data of the energy consumption calculating parameter are changed along with iterative calculation.
Subsystems in the oilfield gathering and handling system may include the oil and gas gathering subsystem 20, the dewatering station subsystem 30, the primary stability subsystem 40, and the associated gas handling subsystem 50 shown in fig. 1. Each subsystem in the oil field gathering and transportation processing system is simulated by adopting different simulation models, namely the oil gas gathering and transportation subsystem in the oil field gathering and transportation processing system is simulated by adopting a simulation model of the oil gas gathering and transportation subsystem, the dehydration station subsystem in the oil field gathering and transportation processing system is simulated by adopting a simulation model of the dehydration station subsystem, the original stability subsystem in the oil field gathering and transportation processing system is simulated by adopting a simulation model of the original stability subsystem, and the associated gas processing subsystem in the oil field gathering and transportation processing system is simulated by adopting a simulation model of the associated gas processing subsystem.
In the oil gas gathering and transportation subsystem, the energy consumption calculation parameters can comprise wellhead back pressure, wellhead temperature, water mixing amount, water mixing temperature, water mixing outlet pressure, oil transfer station outlet temperature, oil transfer station outlet pressure and the like; the energy consumption adjustment parameters can comprise water doping temperature, water doping amount and oil transfer station outlet temperature.
In the dehydration station subsystem, the energy consumption calculation parameters can comprise dehydration temperature, drug addition amount, water content, external transmission temperature, external transmission pressure and the like; the energy consumption adjusting parameters can comprise dehydration temperature, dosing amount and output temperature.
In the original steady subsystem, the energy consumption calculation parameters can comprise oil supply temperature, oil supply pressure, output temperature, output pressure, original steady tower temperature and the like; the energy consumption adjustment parameters may include an original stabilizer pressure and an original stabilizer temperature.
In the associated gas processing subsystem, the energy consumption calculation parameters may include an incoming gas temperature, an incoming gas pressure, an outgoing gas temperature, an outgoing gas pressure, a compressor outlet pressure, a cooling temperature, a fractionation column pressure, a fractionation column temperature, and the like; the energy consumption adjustment parameters may include compressor outlet pressure, cooling temperature, fractionation column pressure, and fractionation column temperature.
Taking an oil gas gathering and transportation subsystem as an example, parameters used in the energy consumption calculation process relate to wellhead back pressure, wellhead temperature, water mixing amount, water mixing temperature, water mixing outlet pressure, oil transfer station outlet temperature, oil transfer station outlet pressure and the like, and energy consumption calculation parameters comprise wellhead back pressure, wellhead temperature, water mixing amount, water mixing temperature, water mixing outlet pressure, oil transfer station outlet temperature, oil transfer station outlet pressure and the like; and selecting the water mixing temperature from the energy consumption calculation parameters for adjustment, wherein the energy consumption adjustment parameters comprise the water mixing temperature. When the water doping temperatures in the energy consumption adjusting parameters are different in value, the value selected by the water doping temperature in the energy consumption calculating parameters is the same as the value selected by the water doping temperature in the energy consumption adjusting parameters. When the blending water temperature is selected to be different in value, the blending water amount in the energy consumption calculation parameters is correspondingly different to ensure that the outlet temperature of the oil transfer station is satisfied within a set range, so that the blending water amount in the energy consumption calculation parameters and the value selected by the outlet temperature of the oil transfer station correspond to the value selected by the blending water temperature.
Step 202: and determining the minimum value of the total energy consumption of all subsystems in the oilfield gathering and transportation processing system and the optimal energy consumption regulating parameter according to the energy consumption calculation parameters of the subsystems corresponding to different energy consumption regulating parameters.
In this embodiment, the optimal energy consumption adjustment parameter is an energy consumption adjustment parameter corresponding to the minimum value of the total energy consumption.
Step 203: and controlling the operation process of each subsystem according to the optimal energy consumption adjusting parameters.
According to the embodiment of the disclosure, the operation process of the subsystem in the oilfield gathering and transportation processing system under the energy consumption adjusting parameters with different sizes is simulated by adopting the simulation model, so that the energy consumption calculating parameters of the subsystem corresponding to the different energy consumption adjusting parameters can be obtained correspondingly. And determining the total energy consumption of all the subsystems according to the energy consumption calculation parameters of the subsystems corresponding to different energy consumption adjustment parameters, and determining the minimum value and the energy consumption adjustment parameters corresponding to the minimum value, thereby obtaining the optimal energy consumption adjustment parameters adopted when the total energy consumption of the oilfield gathering and transportation processing system reaches the minimum value. And finally, controlling the subsystem according to the obtained optimal energy consumption regulation parameters, so that the total energy consumption of the oil field gathering and transportation processing system can reach the minimum value, the energy optimization of the oil field gathering and transportation processing system is realized, and the operation cost of the oil field gathering and transportation processing system is effectively reduced under the condition that the normal operation of the oil field gathering and transportation processing system is ensured.
The embodiment of the disclosure provides an energy optimization method of an oilfield gathering and transportation processing system, which is a specific implementation of the energy optimization method shown in fig. 2. Fig. 3 is a flowchart of an energy optimization method of an oilfield gathering and transportation processing system according to an embodiment of the disclosure. Referring to fig. 3, the energy optimization method includes:
step 301: a simulation model of the subsystem is obtained.
In this embodiment, the simulation model simulates the operation process of the subsystem, and when the simulation model inputs the same inlet parameters as the subsystem, the simulation model can output the same outlet parameters as the subsystem.
In practical application, the inlet parameter and the outlet parameter of the subsystem can be collected for a long time, and then the simulation model of the subsystem can be built based on the collected inlet parameter and outlet parameter of the subsystem. The entry parameter is a state parameter of a processing object of the subsystem before entering the subsystem, and the exit parameter is a state parameter of the processing object of the subsystem after being processed by the subsystem. Optionally, parameter collection and model establishment can be performed for main energy consumption equipment in the subsystem, so that workload is reduced, and implementation cost is reduced.
Step 302: and taking the design parameters of the subsystem as the design parameters of the simulation model. The steps 301 to 302 are optional steps.
In this embodiment, the design parameters are parameters used in the process design, such as the design inner diameter of the oil collection pipeline. In the initial stage of subsystem operation, the actual condition of the subsystem is consistent with the design parameters, the design parameters of the subsystem are directly adopted as the design parameters of the simulation model, and the simulation model can be conveniently established under the condition of ensuring the accuracy of the simulation model.
Step 303: the operating parameters of the subsystem are obtained.
In this embodiment, the operating parameters are parameters measured during operation, which may include, for example, pressure drop, temperature difference between the inlet and outlet of the subsystem.
In practical applications, pressure and temperature sensors may be installed at the inlet and outlet of the subsystem for measurement.
Step 304: and correcting the design parameters of the simulation model according to the operation parameters of the subsystem until the operation parameters of the simulation model are equal to the operation parameters of the subsystem. The steps 303 to 304 are optional steps.
In the middle and later stages of subsystem operation, the actual condition of the subsystem and the design parameters are in and out, the operation parameters of the subsystem are obtained, the correction value of the corresponding design parameters can be obtained, the correction value is used for replacing the original value of the design parameters, and the current actual operation condition of the subsystem can be met, so that the simulation accuracy of the simulation model is improved.
Taking the design parameter as the design inner diameter of the oil collecting pipeline as an example, in the initial stage of subsystem operation, the actual inner diameter of the oil collecting pipeline in the subsystem is equal to the design inner diameter of the oil collecting pipeline, so that the design inner diameter of the oil collecting pipeline in the subsystem can be used as the design inner diameter of the oil collecting pipeline in the simulation model; in the middle and later stages of subsystem operation, a large amount of oil dirt adheres to the inner wall of the oil pipe, so that the actual inner diameter of the oil collecting pipeline in the subsystem is smaller than the designed inner diameter of the oil collecting pipeline, and the designed inner diameter of the oil collecting pipeline in the subsystem cannot be used as the designed inner diameter of the oil collecting pipeline in the simulation model; at the moment, the pressure drop between the inlet and the outlet in the subsystem is obtained, the actual inner diameter of the oil collecting pipeline in the subsystem can be obtained, the designed inner diameter of the oil collecting pipeline in the simulation model is corrected, and the pressure drop between the inlet and the outlet in the simulation model after correction is equal to the pressure drop between the inlet and the outlet in the subsystem.
Step 305: and respectively simulating the operation process of each subsystem in the oilfield gathering and transportation processing system under the energy consumption adjusting parameters with different sizes by adopting a simulation model to obtain the energy consumption calculating parameters of each subsystem corresponding to the different energy consumption adjusting parameters.
In this embodiment, the optimal energy consumption adjustment parameter is an energy consumption adjustment parameter corresponding to the minimum value of the total energy consumption.
The simulation model of the oil and gas gathering and conveying subsystem is adopted to simulate the operation process of the oil and gas gathering and conveying subsystem when the water doping temperature is selected to be B1, so that the operation parameters (such as single well water doping amount) of the energy consumption calculation parameters of the oil and gas gathering and conveying subsystem when the water doping temperature is selected to be B1 are obtained; simulating the operation process of the oil gas gathering and transportation subsystem when the water doping temperature is selected to B2 by adopting a simulation model of the oil gas gathering and transportation subsystem, and obtaining the operation parameters of the energy consumption calculation parameters of the oil gas gathering and transportation subsystem when the water doping temperature is selected to B2; … … simulating the operation process of the oil gas gathering and conveying subsystem when the water doping temperature is selected by adopting a simulation model of the oil gas gathering and conveying subsystem to obtain the operation parameters of the energy consumption calculation parameters of the oil gas gathering and conveying subsystem when the water doping temperature is selected by the Bj.
Simulating the operation process of the dewatering station subsystem when the dewatering temperature is selected to be C1 by adopting a simulation model of the dewatering station subsystem, and obtaining the operation parameters of the energy consumption calculation parameters of the dewatering station subsystem when the dewatering temperature is selected to be C1; simulating the operation process of the dewatering station subsystem when the dewatering temperature is selected to be C2 by adopting a simulation model of the dewatering station subsystem, and obtaining the operation parameters of the energy consumption calculation parameters of the dewatering station subsystem when the dewatering temperature is selected to be C2; … … simulate the operation process of the dewatering station subsystem when the dewatering temperature is selected by adopting the simulation of the dewatering station subsystem, and obtain the operation parameters of the energy consumption calculation parameters of the dewatering station subsystem when the dewatering temperature is selected by Ck.
Simulating the operation process of the original stability subsystem when the original stability tower temperature is selected D1 by adopting a simulation model of the original stability subsystem, and obtaining the operation process of the energy consumption calculation parameters of the original stability subsystem when the original stability tower temperature is selected D1; simulating the operation process of the original stability subsystem when the original stability tower temperature is selected D2 by adopting a simulation model of the original stability subsystem, and obtaining the operation process of the energy consumption calculation parameters of the original stability subsystem when the original stability tower temperature is selected D2; … … simulating the operation process of the original stability subsystem when the original stability tower temperature is selected Dm by adopting a simulation model of the original stability subsystem, and obtaining the operation process of the energy consumption calculation parameters of the original stability subsystem when the original stability tower temperature is selected Dm.
Simulating the operation process of the associated gas treatment subsystem when the cooling temperature is selected to E1 by adopting a simulation model of the associated gas treatment subsystem, and obtaining the operation parameters of the energy consumption calculation parameters of the associated gas treatment subsystem when the cooling temperature is selected to E1; simulating the operation process of the associated gas sub-processing system when E2 is selected at the cooling temperature by adopting a simulation model of the associated gas sub-processing system to obtain the operation parameters of the energy consumption calculation parameters of the associated gas sub-processing system when E2 is selected at the cooling temperature; … … simulate the operation process of the associated gas treatment subsystem when the cooling temperature is selected to be En by adopting a simulation model of the associated gas treatment subsystem, so as to obtain the operation parameters of the energy consumption calculation parameters of the associated gas treatment subsystem when the cooling temperature is selected to be En.
Step 306: and determining the abnormal energy consumption part in the subsystem according to the energy consumption calculation parameters of the subsystem. This step 306 is an optional step.
Optionally, the step 306 may include:
Determining the energy consumption of each part in the subsystem according to the energy consumption calculation parameters of the subsystem;
When the energy consumption of one part of the subsystem is larger than a set threshold value, determining that the energy consumption of the part is abnormal.
For example, if the calculated pressure drop of a certain oil collecting pipeline in the oil and gas gathering and conveying subsystem is too high or the temperature drop is too large, the abnormal energy consumption of the pipeline can be determined, and the need of taking pigging measures or heat preservation measures to reduce the energy consumption can be judged.
In practical application, the abnormal energy consumption part in the subsystem can be determined according to the energy consumption calculation parameters of the subsystem, so that the abnormal part is maintained, and a large amount of energy is always consumed by the abnormal part.
In addition, after the maintenance of the abnormal portion, step 305 is performed again to update the energy consumption calculation parameters of each subsystem accordingly.
Step 307: and determining the minimum value of the total energy consumption of all subsystems in the oilfield gathering and transportation processing system and the optimal energy consumption regulating parameter according to the energy consumption calculation parameters of the subsystems corresponding to different energy consumption regulating parameters.
In this embodiment, the optimal energy consumption adjustment parameter is an energy consumption adjustment parameter corresponding to the minimum value of the total energy consumption.
Optionally, the step 307 may include:
Determining the minimum value of the total energy consumption of all subsystems in the oilfield gathering and transportation processing system by adopting a genetic algorithm by taking the constraint condition that the operation parameters of the simulation model do not exceed the set range;
And determining the energy consumption adjusting parameter corresponding to the minimum value of the total energy consumption as the optimal energy consumption adjusting parameter.
The normal operation of the oilfield gathering and transportation processing system is ensured by restricting the operation parameters of the simulation model in a set range.
In practical application, the energy consumption calculation formula of the subsystem can be obtained first, and the energy consumption calculation parameters of the subsystem are brought into the energy consumption calculation formula of the subsystem to obtain the energy consumption of the subsystem; and adding the energy consumption of all the subsystems to obtain the total energy consumption of all the subsystems in the oilfield gathering and transportation processing system.
The energy consumption calculation formula of the subsystem comprises a relational expression between the energy consumption of the oil and gas gathering and transporting subsystem and wellhead back pressure, wellhead temperature, water doping amount, water doping temperature, water doping outlet pressure, oil transfer station outlet temperature and oil transfer station outlet pressure, a relational expression between the energy consumption of the dewatering station subsystem and dewatering temperature, drug adding amount, water content, external transporting temperature and external transporting pressure, a relational expression between the energy consumption of the primary stabilizer subsystem and incoming oil temperature, incoming oil pressure, external transporting temperature, external transporting pressure, primary stabilizer pressure and primary stabilizer temperature, and a relational expression between the energy consumption of the associated gas treatment subsystem and incoming air temperature, incoming gas pressure, external transporting temperature, external transporting pressure, compressor outlet pressure, cooling temperature, fractionation tower pressure and fractionation tower temperature.
The solution of the total energy consumption of all subsystems in the oilfield gathering and transportation processing system belongs to a constraint nonlinear programming problem, the constraint nonlinear programming problem can be converted into an unconstrained problem by using an external penalty function, and then the minimum value of the total energy consumption is solved by adopting a genetic algorithm.
Illustratively, the constraints may include: the wellhead back pressure is less than the upper limit of the wellhead back pressure constraint; the pump outlet pressure is greater than or equal to the fluid outlet pressure; the temperature of the oil collecting pipeline oil inlet and transfer station is greater than or equal to the allowable inlet station temperature, and the oil inlet and transfer station temperature and the allowable inlet station temperature are freezing points; the water doping temperature of the oil transfer station is less than 60 ℃; the furnace efficiency of the heating furnace is in the high-efficiency operation range of the heating furnace; the efficiency of the pump unit is in the high-efficiency operation range of the pump unit; the operation parameters of main energy consumption equipment in the subsystem are in a high-efficiency operation area; the processing efficiency of the main energy consumption device in the subsystem is in the high-efficiency operation area.
Step 308: and controlling the operation process of each subsystem according to the optimal energy consumption adjusting parameters.
The embodiment of the disclosure provides an energy optimization device of an oilfield gathering and transportation processing system, which is suitable for an energy optimization method shown in fig. 2 or 3. Fig. 4 is a schematic structural diagram of an energy optimizing device of an oilfield gathering and transportation processing system according to an embodiment of the disclosure. Referring to fig. 4, the energy optimizing apparatus includes a parameter determination module 401, an energy consumption determination module 402, and a control module 403.
The parameter determining module 401 is configured to simulate, by using a simulation model, an operation process of each subsystem in the oilfield centralized processing system under different energy consumption adjustment parameters, so as to obtain energy consumption calculation parameters of each subsystem corresponding to different energy consumption adjustment parameters.
The energy consumption determining module 402 is configured to determine, according to energy consumption calculation parameters of each subsystem corresponding to different energy consumption adjustment parameters, a minimum value of total energy consumption of all subsystems in the oilfield centralized processing system, and an optimal energy consumption adjustment parameter, where the optimal energy consumption adjustment parameter is an energy consumption adjustment parameter corresponding to the minimum value of total energy consumption;
The control module 403 is configured to control the operation process of each subsystem according to the optimal energy consumption adjustment parameter.
In practical applications, the parameter determining module 401 may refer to the foregoing step 201 or step 305 when obtaining the energy consumption calculation parameter, the energy consumption determining module 402 may refer to the foregoing step 202 or step 307 when determining the minimum value of the total energy consumption, and the control module 403 may refer to the foregoing step 203 or step 308 when controlling the operation process.
Alternatively, the energy consumption determining module 402 may be configured to determine, using a genetic algorithm, a minimum value of total energy consumption of all subsystems in the oilfield centralized processing system, with the constraint that the operation parameters of the simulation model do not exceed the set range; and determining the energy consumption adjusting parameter corresponding to the minimum value of the total energy consumption as the optimal energy consumption adjusting parameter.
In practical applications, the energy consumption determining module 402 may refer to the foregoing step 202 or step 307 when determining the minimum value of the total energy consumption.
Optionally, the energy optimization device may further include a parameter acquisition module 404 and a correction module 405.
The parameter obtaining module 404 is configured to obtain an operation parameter of a subsystem before using a simulation model to simulate operation processes of each subsystem in the oilfield gathering and transportation processing system under energy consumption adjustment parameters with different sizes to obtain energy consumption calculation parameters of each subsystem corresponding to different energy consumption adjustment parameters, where the operation parameter is a parameter measured in the operation process.
The correction module 405 is configured to correct the design parameters of the simulation model according to the operation parameters of the subsystem until the operation parameters of the simulation model are equal to the operation parameters of the subsystem, where the design parameters are parameters used in process design.
In practical applications, the parameter obtaining module may refer to the aforementioned step 303 when obtaining the operation parameter, and the modifying module may refer to the aforementioned step 304 when modifying the design parameter.
Optionally, the energy optimization device may further include a model acquisition module 406 and a value module 407.
Wherein, the model acquisition module 406 is configured to acquire a simulation model of the subsystem before acquiring the operation parameters of the subsystem.
The value module 407 is configured to take the design parameters of the subsystem as the design parameters of the simulation model.
In practical applications, the model obtaining module may refer to the step 301, and the value selecting module may refer to the step 302.
Optionally, the energy optimization device may also include an analysis module 408.
The analysis module 408 is configured to determine, before determining the minimum value of the total energy consumption of all the subsystems in the oilfield centralized processing system and the optimal energy consumption adjustment parameter according to the energy consumption calculation parameters of the subsystems corresponding to different energy consumption adjustment parameters, a portion of the subsystem with abnormal energy consumption according to the energy consumption calculation parameters of the subsystems.
In practical applications, the analysis module may refer to step 306 described above when determining the energy consumption anomaly.
It should be noted that: the energy optimizing device of the oilfield centralized processing system provided in the above embodiment is only exemplified by the division of the above functional modules when optimizing the energy consumption of the oilfield centralized processing system, and in practical application, the above functional distribution may be completed by different functional modules according to needs, i.e. the internal structure of the device is divided into different functional modules, so as to complete all or part of the functions described above. In addition, the energy optimizing device of the oilfield centralized transmission processing system provided in the above embodiment and the energy optimizing method embodiment of the oilfield centralized transmission processing system belong to the same conception, and detailed implementation processes thereof are detailed in the method embodiment and are not described herein.
The foregoing embodiment numbers of the present disclosure are merely for description and do not represent advantages or disadvantages of the embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program for instructing relevant hardware, where the program may be stored in a computer readable storage medium, and the storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The foregoing description of the preferred embodiments of the present disclosure is provided for the purpose of illustration only, and is not intended to limit the disclosure to the particular embodiments disclosed, but on the contrary, the intention is to cover all modifications, equivalents, alternatives, and alternatives falling within the spirit and principles of the disclosure.
Claims (8)
1. The energy optimization method of the oil field gathering and transportation processing system is characterized in that the oil field gathering and transportation processing system comprises an oil gas gathering and transportation subsystem, a dehydration station subsystem, an original steady subsystem and an associated gas processing subsystem which are connected in sequence, and the energy optimization method comprises the following steps:
Respectively simulating the operation process of each subsystem in the oilfield gathering and transportation processing system under the energy consumption adjusting parameters with different sizes by adopting a simulation model to obtain the energy consumption calculating parameters of each subsystem corresponding to the different energy consumption adjusting parameters;
Determining the energy consumption of each subsystem based on the energy consumption calculation parameters;
adding the energy consumption of each subsystem to obtain the total energy consumption of all subsystems in the oilfield gathering and transportation processing system;
And determining the minimum value of the total energy consumption by adopting a genetic algorithm by taking the constraint condition that the operation parameters of the simulation model do not exceed the set range, wherein the constraint condition comprises the following steps: the wellhead back pressure is smaller than the wellhead back pressure constraint upper limit, the pump outlet pressure is larger than or equal to the fluid outlet pressure, the oil collecting pipeline oil inlet and transfer station temperature is larger than or equal to the allowable inlet station temperature, the oil inlet and transfer station temperature and the allowable inlet station temperature are freezing points, the water mixing temperature of the oil transfer station is smaller than 60 ℃, the heating furnace efficiency is in the heating furnace efficient operation range, the pump unit efficiency is in the pump unit efficient operation range, the operation parameters of main energy-consuming equipment in each subsystem are in the efficient operation area, and the treatment efficiency of the main energy-consuming equipment in each subsystem is in the efficient operation area;
determining the energy consumption adjusting parameter corresponding to the minimum value of the total energy consumption as an optimal energy consumption adjusting parameter;
Controlling the operation process of each subsystem according to the optimal energy consumption adjusting parameters;
The oil gas gathering and conveying subsystem corresponds to a simulation model of the oil gas gathering and conveying subsystem, in the oil gas gathering and conveying subsystem, the energy consumption calculation parameters comprise wellhead back pressure, wellhead temperature, water doping amount, water doping temperature, water doping outlet pressure, oil transfer station outlet temperature and oil transfer station outlet pressure, and the energy consumption adjustment parameters comprise water doping temperature, water doping amount and oil transfer station outlet temperature;
The dehydration station subsystem corresponds to a simulation model of the dehydration station subsystem, wherein in the dehydration station subsystem, the energy consumption calculation parameters comprise dehydration temperature, drug addition amount, water content, external transmission temperature and external transmission pressure, and the energy consumption adjustment parameters comprise dehydration temperature, drug addition amount and external transmission temperature;
The original stability subsystem corresponds to a simulation model of the original stability subsystem, in the original stability subsystem, the energy consumption calculation parameters comprise oil supply temperature, oil supply pressure, output temperature, output pressure, original stability tower pressure and original stability tower temperature, and the energy consumption adjustment parameters comprise original stability tower pressure and original stability tower temperature;
the associated gas treatment subsystem corresponds to a simulation model of the associated gas treatment subsystem, in which the energy consumption calculation parameters comprise an incoming gas temperature, an incoming gas pressure, an outgoing gas temperature, an outgoing gas pressure, a compressor outlet pressure, a cooling temperature, a fractionating tower pressure and a fractionating tower temperature, and the energy consumption adjustment parameters comprise a compressor outlet pressure, a cooling temperature, a fractionating tower pressure and a fractionating tower temperature.
2. The energy optimization method according to claim 1, wherein before the operation process of each subsystem in the oilfield gathering and transportation processing system under the energy consumption adjustment parameters with different sizes is simulated by adopting the simulation model, the energy optimization method further comprises:
acquiring the operation parameters of the subsystem, wherein the operation parameters are measured parameters in the operation process;
And correcting the design parameters of the simulation model according to the operation parameters of the subsystem until the operation parameters of the simulation model are equal to the operation parameters of the subsystem, wherein the design parameters are parameters adopted in process design.
3. The energy optimization method of claim 2, wherein prior to said obtaining the operating parameters of the subsystem, the energy optimization method further comprises:
obtaining a simulation model of the subsystem;
and taking the design parameters of the subsystem as the design parameters of the simulation model.
4. The energy optimization method of claim 1, wherein prior to determining a minimum value of total energy consumption of all subsystems in the oilfield centralized processing system and an optimal energy consumption adjustment parameter based on energy consumption calculation parameters of the respective subsystems corresponding to different energy consumption adjustment parameters, the energy optimization method further comprises:
And determining the part with abnormal energy consumption in the subsystem according to the energy consumption calculation parameters of the subsystem.
5. The utility model provides an energy optimization device of oil field collection and transportation processing system, its characterized in that, oil field collection and transportation processing system includes the oil gas collection and transportation subsystem, dehydration station subsystem, former steady subsystem and associated gas processing subsystem that connect gradually, energy optimization device includes:
The parameter determining module is used for respectively simulating the operation process of each subsystem in the oilfield gathering and transportation processing system under the energy consumption adjusting parameters with different sizes by adopting a simulation model to obtain the energy consumption calculating parameters of each subsystem corresponding to the different energy consumption adjusting parameters;
The energy consumption determining module is configured to determine energy consumption of each subsystem based on the energy consumption calculation parameter, add the energy consumption of each subsystem to obtain total energy consumption of all subsystems in the oilfield gathering and processing system, and determine a minimum value of the total energy consumption by adopting a genetic algorithm with the constraint condition that the operation parameter of the simulation model does not exceed a set range as a constraint condition, where the constraint condition includes: the wellhead back pressure is smaller than the wellhead back pressure constraint upper limit, the pump outlet pressure is larger than or equal to the fluid outlet pressure, the oil collecting line oil inlet-transfer station temperature is larger than or equal to the allowable inlet station temperature, the inlet-transfer station temperature and the allowable inlet station temperature are freezing points, the water mixing temperature of the oil transfer station is smaller than 60 ℃, the heating furnace efficiency is within the heating furnace efficient operation range, the pump unit efficiency is within the pump unit efficient operation range, the operation parameters of main energy consumption equipment in each subsystem are within the efficient operation area, the treatment efficiency of main energy consumption devices in each subsystem is within the efficient operation area, and the energy consumption adjustment parameters corresponding to the minimum value of the total energy consumption are determined to be optimal energy consumption adjustment parameters;
the control module is used for controlling the operation process of each subsystem according to the optimal energy consumption adjusting parameters;
The oil gas gathering and conveying subsystem corresponds to a simulation model of the oil gas gathering and conveying subsystem, in the oil gas gathering and conveying subsystem, the energy consumption calculation parameters comprise wellhead back pressure, wellhead temperature, water doping amount, water doping temperature, water doping outlet pressure, oil transfer station outlet temperature and oil transfer station outlet pressure, and the energy consumption adjustment parameters comprise water doping temperature, water doping amount and oil transfer station outlet temperature;
The dehydration station subsystem corresponds to a simulation model of the dehydration station subsystem, wherein in the dehydration station subsystem, the energy consumption calculation parameters comprise dehydration temperature, drug addition amount, water content, external transmission temperature and external transmission pressure, and the energy consumption adjustment parameters comprise dehydration temperature, drug addition amount and external transmission temperature;
The original stability subsystem corresponds to a simulation model of the original stability subsystem, in the original stability subsystem, the energy consumption calculation parameters comprise oil supply temperature, oil supply pressure, output temperature, output pressure, original stability tower pressure and original stability tower temperature, and the energy consumption adjustment parameters comprise original stability tower pressure and original stability tower temperature;
the associated gas treatment subsystem corresponds to a simulation model of the associated gas treatment subsystem, in which the energy consumption calculation parameters comprise an incoming gas temperature, an incoming gas pressure, an outgoing gas temperature, an outgoing gas pressure, a compressor outlet pressure, a cooling temperature, a fractionating tower pressure and a fractionating tower temperature, and the energy consumption adjustment parameters comprise a compressor outlet pressure, a cooling temperature, a fractionating tower pressure and a fractionating tower temperature.
6. The energy optimizing device of claim 5, further comprising:
The parameter acquisition module is used for acquiring the operation parameters of the subsystems before the operation processes of the subsystems in the oilfield gathering and transportation processing system under the energy consumption adjustment parameters with different sizes are respectively simulated by adopting a simulation model to obtain the energy consumption calculation parameters of the subsystems corresponding to the different energy consumption adjustment parameters, wherein the operation parameters are parameters measured in the operation process;
and the correction module is used for correcting the design parameters of the simulation model according to the operation parameters of the subsystem until the operation parameters of the simulation model are equal to the operation parameters of the subsystem, wherein the design parameters are parameters adopted in process design.
7. The energy optimizing device of claim 6, further comprising:
The model acquisition module is used for acquiring a simulation model of the subsystem before acquiring the operation parameters of the subsystem;
and the value taking module is used for taking the design parameters of the subsystem as the design parameters of the simulation model.
8. The energy optimizing device of claim 7, further comprising:
And the analysis module is used for determining the part with abnormal energy consumption in the subsystem according to the energy consumption calculation parameters of the subsystem before determining the minimum value of the total energy consumption of all the subsystems in the oilfield gathering and transportation processing system and the optimal energy consumption adjustment parameters according to the energy consumption calculation parameters of the subsystems.
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