3052 results about "Oil field" patented technology

The present invention belongs to the technical field of fracture network optimization in oilfield exploitation. Specifically disclosed are a method and system for optimizing complex fracture networks in shale reservoirs. The method comprises: S1, on the basis of geological-engineering bimodal data fusion, constructing a three-dimensional digital twin of heterogeneous reservoirs; S2, synchronously calculating the interactions among fluid flow, rock fracturing and proppant transport during a hydraulic fracturing process; and S3, automatically and iteratively optimizing a combination of fracturing operation parameters. By means of constructing a closed-loop system consisting of geological modeling, multi-field coupling simulation, intelligent optimization and dynamic correction, efficient design and real-time optimization of complex fracture networks in shale reservoirs are realized.

The invention discloses a multi-mode intelligent inspection system and device for an oil field gathering and transportation station yard, and belongs to the technical field of oil field gathering and transportation station yard inspection. The multi-mode intelligent inspection system comprises a data acquisition module, an abnormity judgment module, a station yard model simulation analysis module and a decision analysis and execution module; comprising a vibration camera sensor, a temperature camera sensor, a pressure camera sensor, a flow camera sensor, a liquid level camera sensor, a gas camera sensor, an ultraviolet flame camera sensor, an infrared thermal imaging camera sensor, a visible light camera sensor and a depth camera sensor and is used for collecting process equipment, environment states and personnel operation behavior data of a current oil field gathering and transportation station and recording the data collected by the sensors in a near-field edge server and a cloud server; the time difference of data acquisition is eliminated through a space-time alignment algorithm, and a time sequence health vector in a unified format is generated. According to the multi-mode intelligent inspection system and device for the oil field gathering and transportation station yard, multi-mode inspection can be carried out on the oil field gathering and transportation station yard based on the type of the oil field gathering and transportation station yard, and typical anomalies are recognized and processed.

The invention discloses an intelligent inspection fault diagnosis method and system adopting six-dimensional judgment, and belongs to the technical field of oil field gathering and transportation intelligent inspection. A data access module is used for collecting information of field sensors deployed in different site devices in the oil field gathering and transportation process; protocol analysis, time alignment and semantic mapping are carried out on collected data, data collected by a single-point sensor in the oil field gathering and transportation process are packaged into a unified measuring point object UPO, and a standard data structure containing equipment ID, design attributes, real-time values, historical sequences, alarm threshold values, mechanism parameters and upstream and downstream pointers is constructed. According to the intelligent inspection fault diagnosis method and system adopting six-dimensional judgment, the accuracy of abnormal recognition, the efficiency of root cause positioning and the scientificity of regulation and control decision are improved by fusing multi-dimensional judgment, intelligent reasoning and distributed cooperative fault diagnosis, and powerful support is provided for safe and stable operation of an oil field gathering and transportation system.

The invention discloses an intelligent optimization decision-making method and system for an oilfield water injection system, and belongs to the technical field of oilfield development engineering. The method comprises the following steps: constructing a pipe network digital twinborn model and carrying out actual measurement verification; executing hydraulic-thermal simulation based on the model to generate a pressure-flow map; optimizing water distribution in combination with an injection allocation scheme and matching a pump set combination; generating a control instruction and executing a pressurization scheme; monitoring the state of the pipe network in real time and correcting model parameters. Through the digital twin technology and the differential evolution algorithm, global optimization decision of water distribution and pump set combination of the water injection system is achieved, and the problems that a traditional system is high in energy consumption and low in efficiency are solved.

The invention relates to the technical field of intelligent management of oilfield water injection systems, and particularly discloses a water injection pipe network operation situation analysis and energy consumption evaluation method and system. According to the method, real-time data and pipe network parameters of an oilfield water injection system are collected, and after anomaly detection and data cleaning treatment, a node pressure matrix and pipe section flow distribution are generated; performing residual analysis and time sequence modeling by combining real-time data and a simulation result to realize accurate positioning of operation abnormity; a fuzzy analytic hierarchy process for dynamic weight adjustment is adopted to construct a four-stage energy efficiency evaluation system of water injection station-pipe network-water injection well-overall system, and an energy consumption bottleneck thermodynamic diagram is generated; and finally outputting a strategy rehearsal report and a fusion cockpit. According to the method, the change of the water injection pipe network from'black box 'to'transparent' management is realized, the technical problems of single energy efficiency evaluation, scheduling dependence on experience and the like in a traditional method are solved, the system operation efficiency can be remarkably improved, and the energy consumption is reduced.

The invention discloses a parameter-controlled intelligent oil field shaft digital twinning modeling method, which belongs to the field of petroleum engineering and comprises the following steps of: generating well track data by adopting a multi-source data fusion mode, and optimizing a multi-source data fusion weight coefficient by adopting a genetic algorithm when a measurement depth is generated; well track curvature optimization is conducted based on the minimum curvature principle, a minimum curvature second derivative serves as a target function, and geological factors are introduced to dynamically adjust the smooth weight; a second-order Taylor expansion compensation item is provided for curvature factor dynamic correction, and three-dimensional coordinate data of the well track are generated; and based on the three-dimensional coordinate data of the wellbore track, parameterized-driven wellbore geometric modeling is carried out, and parameterized programmable control over the wellbore radius, the wellbore wall thickness and the section inclination angle is achieved. The invention provides an efficient and accurate wellbore three-dimensional modeling solution, and the wellbore modeling efficiency is greatly improved.

The invention provides a load distribution method, device and system for numerical reservoir simulation. The method comprises the steps that a grid file is obtained, the grid file is a file representing the geological space structure of a target area, the target area is one or more of a coal mine, an oil field, a geothermal field and a gas field, and the grid file comprises a plurality of grids; loads are distributed according to the types of grids in the grid file, the types of the grids comprise structured grids or non-structured grids, the loads are equipment used for reservoir numerical simulation, and the distribution mode comprises average distribution according to the number of the grids and / or average distribution according to the calculation time of the grids, the calculation time is time for load calculation of oil-water distribution of the target area during numerical reservoir simulation; and controlling all loads, and carrying out reservoir numerical simulation based on the distributed grid file. According to the method, the problem that in the prior art, load balancing cannot be achieved during load distribution in numerical reservoir simulation grid calculation is solved.

The invention relates to the technical field of oil field reservoir research, in particular to a fracturing fracture imaging physical simulation method and system combined with non-uniform contact electrodes, and the method comprises the steps: carrying out the resistance modal detection at the current time step through a low-frequency excitation signal in the fracture propagation simulation process, and obtaining a corresponding electric signal; obtaining a conductive fluid distribution result of the rock core fracturing test piece at the current time step by using the conductive fluid distribution inversion model; and fitting and comparing the electric field distribution result of the current time step with the conductive fluid distribution result of the current time step, and outputting the fracture parameters and the conductive fluid distribution result of the rock core fracturing test piece at the current time step based on the fitting and comparison result. According to the method, the electrical property change caused by the natural fracture and the fluid contained in the natural fracture is directly sensed in situ, the electrical signal is acquired, the response delay is reduced, the conductive fluid distribution inversion model is constructed by combining prior knowledge and deep learning, and the precision and reliability of conductive fluid distribution inversion are effectively improved.

The invention relates to the technical field of oil field pipeline leakage monitoring, and discloses an oil field pipeline clustering leakage monitoring system, which comprises a central platform for executing global resource allocation, task decision and visual management and control, and optimizing a task allocation path through a gradient descent algorithm; the redundant block chain is formed by interconnection of adjacent regional monitoring platforms through a smart contract, and is divided into a core chain and a standby chain; the regional monitoring platform comprises a multi-stage detection unit, and is used for collecting pipeline operation data in real time and triggering a multi-stage verification mechanism; the dynamic permission distribution module is used for dynamically migrating tasks to low-load nodes; and the self-learning module is used for constructing a decision result database to record a false alarm rate and a positioning error, and dynamically optimizing a flow decreasing threshold and a vibration spectrum matching weight by adopting a reinforcement learning model. According to the invention, the real-time performance, the positioning precision and the system fault tolerance of leakage monitoring are improved through a centralized-distributed hybrid architecture, multi-stage cooperative positioning and anti-interference design, and technical support is provided for safe operation and maintenance of oil field pipelines.

The invention relates to the technical field of oil field workover treatment, in particular to a rapid blowout wrecking device and method for minor repair operation. According to the technical scheme, a lifting mechanism is installed on workover treatment equipment through a fixing mechanism, a rotary speed reducer is installed at the upper end of the lifting mechanism, a blowout wrecking rotating arm is installed on the upper portion of the rotary speed reducer, the outer end of the blowout wrecking rotating arm is fixedly connected with a fixing base, a turbine is installed in the fixing base, and a rotating short section is installed in the center of the turbine. The lower end of the rotary short section is movably connected with a full-bore plug valve; the worm is installed on one side of the turbine, the worm is driven by the hydraulic cycloid motor to rotate, the worm drives the turbine and the rotary short section to rotate, then the full-bore plug valve is driven to be rotationally connected to an oil pipe of a wellhead, then the switch knob is closed, and blowout wrecking is completed. The full-bore plug valve is installed through mechanical rotation, the follow-up loading function is achieved, potential safety hazards caused by manual installation of the full-bore plug valve are avoided, and rapid blowout wrecking work of blowout is achieved.

The invention provides an oil field productivity monitoring method using a carbon quantum dot tracer agent, and the method comprises the steps: S100, obtaining the convection term and diffusion term characteristics of an oil field through the injection of the carbon quantum dot tracer agent and an inert tracer agent, and building an oil field monitoring characteristic set; step S200, selecting main characteristics of oil field monitoring from the oil field monitoring characteristic set by using a Spearman correlation coefficient and a random forest tree model method; and S300, inputting the main features into a neural network to monitor the productivity of the oil field, wherein the neural network is a particle swarm optimization-back propagation neural network for Wiener process optimization.

The invention belongs to the field of oilfield chemistry, and discloses development and a method of a gel breaker for recycling drilling fluid, and the preparation method comprises the following steps: (1) contacting chitosan with a modifier under an alkaline condition for chemical modification to obtain O-carboxymethyl chitosan; and (2) carrying out radical polymerization on the obtained O-carboxymethyl chitosan and a quaternary ammonium salt monomer in an acid environment under the action of an initiator to obtain the gel breaker.

The invention discloses a compression type external casing packer based on petroleum low-carbon exploitation, and relates to the technical field of oil field downhole tools, the compression type external casing packer comprises a casing pipe, a micro-deformation adjusting mechanism is arranged in the casing pipe, and when the packer is in the installation process, the micro-deformation adjusting mechanism is in a contraction state so as to guarantee that the packer can be smoothly put into the casing pipe; according to the device, the rubber sleeve assembly adopts a multi-section combined design and is formed by sequentially connecting at least three cylindrical rubber sleeves in series in the axial direction, the multiple sections of cylindrical rubber sleeves can achieve differential adaptation through cooperative deformation, aiming at the local diameter expanding section of the inner wall of the sleeve, the rubber sleeves at the corresponding positions can more sufficiently expand in the radial direction to fill gaps, and the sealing performance of the sleeve is improved. The expansion amount of a local reducing section can be properly controlled to avoid excessive extrusion, meanwhile, the contact area of the multiple sections of rubber barrels and the inner wall of the sleeve is larger, the contact pressure of the sealing face can be effectively dispersed, and a uniform and stable sealing pressure field is formed in the whole well section.

The invention discloses a six-dimensional judgment intelligent operation and maintenance diagnosis method and system for an oil field gathering and transportation station yard, and belongs to the technical field of oil field gathering and transportation intelligent operation and maintenance. Comprising a data acquisition and single point location model establishment module, a six-dimensional analysis and judgment module, a six-dimensional fusion processing module and a feedback updating module, comprising flow, pressure, temperature, liquid level, water content, pump frequency / current, valve position / state position, furnace gas amount / air door and station control alarm position data in an oil field gathering and transportation station. According to the six-dimensional judgment intelligent operation and maintenance diagnosis method and system for the oil field gathering and transportation station, by integrating multi-link analysis, dynamic threshold adjustment, a closed-loop optimization mechanism and safety guarantee design, the problems that current diagnosis is poor in stability, insufficient in precision, weak in decision support and the like are solved; and reliable technical support is provided for efficient and stable operation of an oil field gathering and transportation station.

The invention discloses a proportioning optimization method for efficiently balancing a chemical oil displacement system. The proportioning optimization method comprises the following steps: S1, collecting and sorting experiment and field data of the existing chemical oil displacement system; the oil displacement effect can be effectively improved by continuously optimizing the ratio of the chemical agents through experiments and numerical simulation, so that the recovery efficiency of an oil field is improved, the oil-water interface characteristics can be improved, the fluid viscosity can be reduced, the oil fluidity can be improved through the reasonable ratio of the chemical agents, and by analyzing the cost benefits of different ratios, the oil displacement effect can be effectively improved. The chemical agent combination with higher economical efficiency can be selected, the expenditure in the chemical oil displacement process is reduced, the oil displacement effect and cost are comprehensively considered, the resource utilization efficiency of the chemical oil displacement system is improved by optimizing the proportion, and it can be ensured that the selected proportion is not only theoretically effective but also theoretically effective through laboratory verification and on-site small-scale tests. And the method also has practical significance in practical application.

The invention discloses a pumping unit intelligent lubrication decision making system and method based on multi-source data fusion, and the system obtains multi-source data, such as the rotating speed, the torque, the oil temperature and the oil pressure, and the viscosity, the pH value and the water content of lubricating oil, during the operation of a pumping unit through a multi-source data collection unit, and carries out the processing through a data transmission and preprocessing unit. Data features are deeply mined by means of an improved multi-layer perceptron feature extraction unit, feature fusion is carried out on data of an optimized Transform model fusion unit and a historical data storage unit, and a lubrication decision model construction unit constructs correlation models of lubricating oil viscosity, lubrication period and the like based on the fused features. And finally, the lubrication decision execution unit outputs and executes a decision instruction. The method executes the steps of data acquisition, processing, feature extraction, fusion, model construction and decision execution corresponding to each unit of the system. The problems of lubricating oil waste and insufficient lubrication are avoided, and the operation efficiency and the intelligent operation and maintenance level of the pumping unit in oilfield exploitation are remarkably improved.

The invention discloses a soluble bridge plug and relates to the technical field of oil field downhole tools. Comprising a center pipe, a boss is arranged on the upper portion of the center pipe, a tool hole used for setting is formed in the boss, a ball seat hole is formed in the boss, the center pipe is sequentially sleeved with a thrust sleeve, a rubber barrel, a propelling sleeve and a slip below the boss, the lower portion of the slip abuts against the upper portion of a guide shoe, and the guide shoe is connected with the center pipe through threads. The well wall soluble bridge plug has the beneficial effects that the fracturing pressure is utilized, after the slips are set, all the slips are driven to expand outwards, and the expansion degree depends on the fracturing pressure instead of being completed by a setting tool in a unified mode, so that the soluble bridge plug has the capacity of adapting to well walls of different specifications, is reliably anchored in the well walls, and is safe and reliable.

The invention discloses an oil exploitation packer with an expanding type sealing structure, which belongs to the field of oil field downhole tools and comprises a central tube, an upper joint and a lower joint are respectively arranged at two ends of the central tube, a sealing component and a setting component are sequentially sleeved between the upper joint and the lower joint, and the upper joint and the lower joint are connected with a centralizing component and a reversing component in a matched manner. The sealing assembly comprises an installation pipe sleeved on the central pipe and a rubber sleeve sleeved on the outer side of the installation pipe, a first sliding rod and a second sliding rod which are alternately distributed and linked are arranged on the installation pipe in a sliding mode, and a first pushing block and a second pushing block are respectively hinged on the two sliding rods. When the two sliding rods move towards the setting assembly, the first pushing block and the second pushing block alternately penetrate and are spliced into a sealing ring with the outer diameter larger than the inner diameter of the rubber sleeve. The installation pipe provides a stable installation foundation for all the components, sliding rod linkage ensures that the pushing blocks move coordinately and synchronously, the sealing ring extrudes the rubber barrel to enable the rubber barrel to be expanded to be attached to the well wall to achieve sealing, and formation fluid channeling is effectively prevented. And by adjusting the radian of the push block and the length of the push rod, rapid sealing can be achieved under short-distance movement, and sealing reliability and response efficiency are improved.

The invention discloses a water injection regulation and control method based on deep reinforcement learning under data and model fusion driving, and the method comprises the following steps: collecting operation parameter data under an oil field injection-production working condition, and carrying out the data preprocessing; a model-free water injection regulation strategy is designed, a traditional oil yield prediction model is removed, and a water injection action is directly generated based on an environment state by constructing a state-action space containing the parameters; a soft actor-commentator (SAC) algorithm and a long short-term memory network (LSTM) collaborative decision framework are adopted, an oil reservoir parameter time sequence rule is captured by using LSTM to provide state prediction for SAC, and water injection and oil extraction joint debugging of a well group is optimized in combination with a state-driven dynamic reward function; a priority experience playback mechanism is introduced to optimize SAC training, and the action generation efficiency is improved. According to the model constructed by the method, the calculation complexity is remarkably reduced, the oil production is improved, the water content is reduced, and the method has relatively high practical value and economic benefits and is particularly suitable for water injection regulation and control scenes under complex oil reservoir conditions.

The invention discloses a site-level CCUS dynamic source-sink matching optimization method for an oil field enterprise, relates to the technical field of large-scale deployment of carbon capture, utilization and storage of the oil field enterprise, and particularly relates to the site-level CCUS dynamic source-sink matching optimization method for the oil field enterprise. Comprising the following steps: integrating a carbon source end full life cycle technical economy evaluation system and a storage target area'geology-potential-economy 'three-dimensional grading model to form a dynamic database; on the basis of the dynamic database, a mixed integer linear programming model fusing source sink dynamic priority coefficients is constructed, three scenes of cost minimization, oil displacement income maximization and carbon sink subsidy excitation are set, and a constraint system is coupled; according to the method, carbon source technology economic evaluation and storage target area three-dimensional grading are fused, the specific injection-production cycle, policy incentive and pipe network constraint of an oil field are converted into time-varying weight coefficients, traditional static optimization limitation is broken through, and site-level source-sink dynamic accurate matching is achieved.

The invention discloses an automatic correction type polish rod sealer for an oil field, and belongs to the technical field of polish rod sealers. Comprising a packing box body, the packing box body is provided with a packing cavity and a positioning part, a gland is connected in the packing cavity in a sliding mode, annular packing distributed at equal intervals is arranged in the packing cavity, the packing box body is provided with a sealing cavity located on the lower side of the positioning part, and the packing box body is provided with a sealing ring. The sealing cavity is formed in the packing box body, the pressing disc is connected into the sealing cavity in a sealed and sliding mode, a second spring is fixedly connected between the pressing disc and the packing box body, the pressing disc is connected with sliding rods in a sliding mode, the sliding rods are distributed in the circumferential direction at equal intervals and jointly used for correcting the polish rod, and the sealing cavity is provided with a guiding part used for extruding the sliding rods. The press disc drives the sliding rods distributed at equal intervals in the circumferential direction to move upwards, the sliding rods distributed at equal intervals in the circumferential direction are guided by the guide part to get close to each other to dynamically correct the polish rod, and it is guaranteed that the polish rod is located in the middle of the packing box body in the upstroke process.

The invention provides a method and a device for predicting a steam cavity in steam flooding by using an overlap factor, and belongs to the technical field of oil field oil extraction. The method comprises the following steps: determining an incidence relation between wellhead production characteristics of a first production well and a well bottom average temperature value, and determining a well bottom average temperature value of a second production well according to wellhead production characteristics of the second production well by utilizing the incidence relation; determining overlap factors of different displacement layer sections of the first production well; weighting the well bottom average temperature value of the second production well by using the overlay factor of each displacement layer section, and obtaining the well bottom correction temperature of each displacement layer section in the second production well in a one-to-one correspondence manner; and comparing the well bottom correction temperature of the second production well with the well bottom temperature of the steam injection well in the well group where the second production well is located, comparing the well bottom pressure of the second production well with the well bottom pressure of the steam injection well, and identifying the steam cavity of each displacement layer section of the second production well. By means of the method, rapid, accurate and low-cost recognition of the steam cavity is achieved.

The invention relates to the technical field of oil pipe leakage detection, in particular to an underground oil pipe leakage detection system, which comprises an underground permanent monitoring unit, which comprises at least one optical fiber sensor, and the optical fiber sensor clings to the outer wall of a production oil pipe or is integrated in an oil pipe coupling and extends along the depth of a whole shaft; the ground signal processing and analyzing unit is in communication connection with the underground permanent monitoring unit; wherein the optical fiber sensor is used as a distributed temperature sensor and a distributed sound wave vibration sensor at the same time, real-time on-line monitoring of oil pipe leakage is achieved, early warning can be given out at the initial stage of leakage, the accuracy of leakage recognition is improved through collaborative analysis of bimodal sensing data, the false alarm situation is effectively reduced, and the reliability of oil pipe leakage detection is improved. A distributed measurement mode provides meter-scale spatial resolution, the depth position of a leakage point is accurately positioned, normal production operation does not need to be interrupted during system operation, and the operation cost of an oil field is reduced.

The invention provides a method and system for identifying an omissive hydrocarbon reservoir of an old oil field based on rock debris and optical fiber monitoring, and the method comprises the steps: carrying out the multi-mode digital analysis of the stock rock debris of a target well of the old oil field, and obtaining the rock physical characteristic parameters of the rock debris; the method comprises the following steps: obtaining stratum dynamic response parameters through a distributed optical fiber sensing system arranged in a sleeve of a target well of an old oil field in advance; historical logging data of the target well of the old oil field are called, and standardization processing is conducted on the historical logging data to obtain a historical logging parameter set; static errors of a historical logging parameter set are corrected through rock physical characteristic parameters, and real-time dynamic constraints are provided through stratum dynamic response parameters; according to the type characteristics of the reservoir where the target well of the old oil field is located, the corresponding multi-parameter fusion identification method is adopted to obtain the position of the missing oil and gas reservoir, and the accuracy and reliability of missing oil and gas reservoir identification are improved.

The invention relates to the field of oil field heating furnace control, and discloses an oil field heating furnace intelligent digital implementation method and control method.The control method comprises the following steps that S1, a temperature sensor is used for monitoring the temperature of an oil field heating furnace in real time; s2, calculating a temperature error between the upper limit and the lower limit of the real-time temperature and the set temperature according to the monitoring data of the temperature sensor; s3, a self-adaptive PID control algorithm is applied, and heating power is calculated based on the temperature error; and S4, dynamically adjusting the heating power to control the temperature of the oil field heating furnace. The precision and stability of temperature control can be improved, the oil field heating furnace can control the target temperature more accurately, and the production efficiency is improved. Meanwhile, the self-adaptive PID control algorithm can automatically adjust parameters according to actual working conditions and environment changes, the adaptability and robustness of the system are improved, and the requirements for manual intervention and adjustment are reduced. In addition, the stable and efficient heating process can be achieved by dynamically adjusting the heating power, and energy and cost are saved.

Provided are an intelligent operation and maintenance optimization method and intelligent production optimization method for an offshore oil subsea production system (SPS), and a system, relating to the field of petroleum engineering. The operation and maintenance optimization method includes: determining whether there is a leak in an SPS; and if there is a leak, performing emergency repair; or if there is no leak, performing intelligent operation and maintenance optimization. The performing intelligent operation and maintenance optimization includes: calculating a static health index of the SPS based on ashore sensor status data and Christmas tree sensor data; obtaining dynamic health indexes at different moments through a Kalman filtering algorithm; and formulating an optimal maintenance strategy for the SPS with optimization objectives of maximizing toughness and minimizing a maintenance cost.

The invention discloses a macromolecular demulsifier as well as a preparation method and application thereof, and belongs to the technical field of oil exploitation. The polymer demulsifier has a structure as shown in a formula (I): # imgabs0 # formula (I); wherein R is selected from any one of NH2-(CH2CH2NH) m-CH2CH2, and m represents an integer from 1 to 4; n represents an integer from 25 to 600; a represents an integer from 60 to 200; and b represents an integer of 40-150. The macromolecular demulsifier has a good demulsification effect, improves the water phase cleanliness of demulsified dehydrated water, is suitable for various working conditions and environments, and solves the problem of difficulty in treatment of crude oil produced in oil fields in the prior art.

The invention discloses a well drilling fracturing device for oil field yield increase, and relates to the technical field of oil field collection, the well drilling fracturing device comprises a fracturing filtering mechanism and a bottom rotating bearing installed in the fracturing filtering mechanism, the bottom of the fracturing filtering mechanism is provided with a connection sealing mechanism, and the bottom of the connection sealing mechanism is provided with a main pipeline; the fracturing filtering mechanism comprises a filtering support, a plurality of sewage draining holes are formed in the outer side of the filtering support, a worm gear limiting cover is fixedly installed at the bottom of the filtering support, rotating supports are symmetrically installed on the side, close to the interior of the worm gear limiting cover, of the filtering support, and rotating motors are fixedly installed on the outer sides of the rotating supports; by utilizing the structural characteristics of the vortex cleaning impeller, when the vortex cleaning impeller rotates anticlockwise, the temporary plugging agent can move towards the inner side of the filter screen cylinder under the action of the groove in the vortex cleaning impeller, so that the conveying efficiency of the temporary plugging agent is improved, and meanwhile, the vortex cleaning impeller can clean the outer surface of the filter screen cylinder.

The invention provides a load tracking control method for an energy storage system in an oil field scene, which realizes cooperative control of constant-power operation of a generator and rapid compensation of energy storage. The system comprises the following mechanisms: a diesel generator; the energy storage system comprises an energy storage converter PCS and an energy storage battery pack; the AI sampling module is used for respectively sampling implementation voltage and current data of the diesel generator and the load through a voltage transformer PT and a current transformer CT; the EMS system side power calculation module comprises an energy management system power calculation module and a power conversion system; and an oil field load; an output end of a diesel generator and an output end of an energy storage converter PCS are converged to a load output line and then are connected to an oil field load, an AI sampling module also samples voltage and current data of the load output line, the diesel generator and an energy storage system supply power to the oil field load at the same time, and an engine operates in a high-efficiency interval. And the energy storage system bears instantaneous power fluctuation.

The invention belongs to the technical field of oil field gathering and transportation systems, and particularly relates to a combined crude oil dehydration and desalination treatment device which comprises a shell, a pretreatment chamber is arranged at one end in the shell, an ultrasonic demulsification chamber is arranged on one side of the pretreatment chamber, and an electric dehydration settling chamber is arranged on one side of the ultrasonic demulsification chamber. Through the combined design of ultrasonic waves and an electric field, the efficiency and adaptability of crude oil dehydration and desalination are improved, oil-in-water and water-in-oil particles can be effectively opened through the mechanical oscillation effect generated by the ultrasonic generator in the ultrasonic demulsification chamber, free-state oil drops and water drops are formed, and the oil-in-water and water-in-oil particles can be effectively removed. An alternating-current electric field and a direct-current electric field which are respectively formed by the grid plate and the vertical electrode plate can be used for coalescing and settling water drops in oil under the actions of dipole coalescence, oscillation coalescence, electrophoresis coalescence and the like, and due to the synergistic action of the double electric fields, the quality of the dehydrated crude oil is improved, the volume fraction of water in the crude oil is reduced, the power consumption is reduced, and the stability of the electric fields is enhanced.