2928 results about "Oil well" patented technology

Provided is an intelligent monitoring system for an oil development platform. The system includes external environment monitoring of a well platform, internal environment monitoring of the well platform and platform construction, where the external environment monitoring of the well platform includes real-time monitoring of natural environment conditions around an offshore oil development platform, the internal environment monitoring of the well platform includes collection and analysis of various indexes inside the oil well platform, and the platform construction is based on a three-layer structural design including a sensing layer, a transmission layer and an application layer. The sensing layer collects environmental data of ocean and the well platform through an Internet of Things technology, the transmission layer rapidly transmits data to ensure real-time updating of information, and the application layer processes received data to realize fusion and visualization of the data.

The disclosure relates to a technical field of oil monitoring, and in particular to real-time monitoring system for an internal environment of an oil well platform. The system includes: a group of Internet of Things sensors used for collecting data of the internal environment of the oil well platform in real time; a satellite transmission unit communicated with a plurality of Internet of Things sensors and used for receiving data collected by the Internet of Things sensors; the satellite receiving terminal used for receiving data from the satellite transmission unit and transmitting data to a central server; the central server with a data processing function used for receiving data from the satellite receiving terminal and carrying out data integration and analysis; and a control center used for displaying monitoring results and data trends from the central server, and issuing early warning or alarm based on a preset environmental parameter standard.

The invention relates to the technical field of pressure detection, in particular to an oil well pressure anomaly detection method and system based on deep learning, and the method comprises the following steps: collecting a control signal and pressure data, calculating a slope difference and fluctuation to mark a sudden change point, extracting a multi-dimensional feature group to generate a training sample, and constructing a deep learning model to recognize pressure difference anomaly. The oil well pressure abnormal time period is predicted in real time. According to the method, accurate attribution of abnormal fluctuations in the oil well operation process is achieved by constructing the time sequence corresponding relation between control signals and pressure difference sudden change, the target pertinence of pressure change recognition is improved, a sliding structure extracts multi-dimensional dynamic characteristics, the capacity of capturing wellhead or underground pressure micro-amplitude abnormity is enhanced, and the training sample is combined with a control behavior label, so that the accuracy of the abnormal fluctuations in the oil well operation process is improved. The distinguishing capability of the model to different abnormal forms is optimized, the adaptability under complex working conditions is improved, a real-time prediction mechanism ensures that oil well pressure state recognition has continuity, rapidness and high confidence, and risk early warning and operation guarantee in the oil extraction process are effectively supported.

The invention provides an oil well data intelligent management system and method, and relates to the technical field of oil well production. Comprising an edge layer and a platform layer. The edge layer is used for performing anomaly analysis on the oil well data; the platform layer is used for formulating an intervention control strategy according to abnormal oil well data; the edge computing node is used for performing feature extraction on the original oil well data; the model building module is used for building an anomaly detection model in combination with a historical oil well database; the anomaly recognition module is used for inputting the oil well data features into an anomaly detection model for anomaly recognition. According to the method, the edge computing nodes are combined with the lightweight LSTM model, so that the problem of high delay of cloud centralized processing in a traditional scheme is solved, and sudden equipment faults can be accurately captured in a low response period; a dynamically optimized intervention strategy generation mechanism is adopted, core parameters are adaptively adjusted according to different well conditions, a closed-loop control link is formed in cooperation with a cloud continuous iteration diagnosis knowledge base, and the manual inspection frequency and the operation and maintenance cost are reduced.

The invention relates to the technical field of oil well fault monitoring, and discloses an oil well indicator diagram real-time fault prediction method and system. The method comprises the following steps: acquiring an oil well sensor data stream, buffering and checking data integrity through a sliding window, and aligning multi-channel sensor data by applying a dynamic time warping algorithm to generate a standardized data stream; extracting time domain features based on the data stream, and comparing the time domain features with a historical feature library after principal component analysis dimension reduction to generate a feature difference index; triggering a multi-level threshold strategy according to the difference index, collecting an incremental training data set, finely tuning the model by adopting an elastic weight preserving algorithm, and generating a hot switching ready model; after the model is loaded, a fault probability value is generated through GPU accelerated reasoning, and an early warning event with a timestamp is generated; and finally analyzing the message into an early warning protocol message edge for transmission, and dynamically optimizing system resources based on logs. According to the method, the delay problem of high-frequency data flow is effectively solved, and the fault prediction accuracy and the system response speed are remarkably improved.

The invention relates to the technical field of oil exploitation, and provides a CFD-based electric submersible pump oil-gas-water three-phase flow adaptability analysis method and system, and the method comprises the steps: constructing a three-dimensional geometric model of an electric submersible pump, carrying out the initial grid division through CFD software, and optimizing the grid density through a self-adaptive grid refinement algorithm; setting oil well boundary conditions, a turbulence model and cavitation model parameters; steady-state and unsteady-state simulation calculation is carried out, and a flow field distribution diagram in the electric submersible pump is obtained; key performance parameters are extracted; simulating flow characteristics of oil-gas-water three-phase flow by adopting a turbulence model optimization algorithm based on multiphase flow coupling and combining a turbulence model, a multiphase flow model, an interphase turbulence correction term and an interphase interaction force model; and carrying out adaptability analysis on the oil-gas-water three-phase flow of the electric submersible pump. All-around technical support can be provided for design, operation and maintenance of the electric submersible pump, and technical progress and development of the oil exploitation industry are powerfully promoted.

The invention belongs to the technical field of oil well production management, and discloses an electric submersible pump well group management system and method based on digital twinning. According to the method, operation data of an electric submersible pump unit and environmental data in a shaft are collected in real time, a multi-scale digital twinborn model is constructed for the received data, and the mechanical structure and electrical characteristics of the electric submersible pump unit, the multiphase flow dynamic state in the shaft and geological pressure field data are obtained; trend prediction is carried out on operation parameters, energy efficiency indexes and health states of the multi-scale digital twin model of each well; through a machine learning algorithm and an expert knowledge base, trend prediction data is associated with a historical health database, early warning and intelligent diagnosis of equipment faults are completed, and a maintenance strategy is generated. The method can assist managers to make decisions based on the historical health database. According to the invention, unified management and intelligent well patrol of multiple well sites can be realized, and the oil well production management efficiency is greatly improved.

The invention belongs to the technical field of petroleum machinery, and particularly relates to a combined type polish rod breakage blowout prevention wellhead device which comprises a valve body, a horizontally symmetrical penetrating cavity is formed in the valve body, the two ends of the cavity are blocked and fixed through glands, and a vertically-penetrating annular channel is further formed in the valve body and allows an oil pumping polish rod to pass through. Two gate plates are further symmetrically arranged in the valve body corresponding to the horizontally-symmetrical penetrating cavity, a rib plate is arranged on one side of the cover plate, and a right-angle rubber base is fixedly connected between the gate plates and the rib plate through bolts. The device can be automatically triggered after the oil pumping polish rod is broken and disengaged, a blowout channel is rapidly sealed, oil well back pressure spraying is prevented, environment pollution caused by crude oil spraying is avoided, and the device has the function of guaranteeing sealing between a wellhead device and the oil pumping polish rod during normal production of a rod-pumped well. And the wellhead device can be isolated from the shaft when the packing is maintained and replaced by the oil extraction system of the pumping unit.

The invention provides an oil well casing corrosion monitoring method and device based on machine vision. The method comprises the steps that an image to be subjected to corrosion monitoring is acquired; the to-be-corroded monitoring image is an image of the oil well casing, which is acquired by utilizing preset machine vision equipment; according to a Harris operator positioning and prediction feature algorithm, positioning corrosion feature points in the image to be subjected to corrosion monitoring; based on the corrosion feature points, positioning corrosion geometric features in the image to be subjected to corrosion monitoring by adopting a slope template; the corrosion geometric characteristics are used for analyzing corrosion geometric parameters of oil well casing corrosion; and determining the monitoring result of the oil well casing corrosion according to the corrosion geometric parameters. According to the method, the positioning and prediction accuracy of corrosion characteristics can be improved in a complex environment, the monitoring result of oil well casing corrosion is more accurate and reliable, meanwhile, a large number of sensors do not need to be arranged in the process, and the workload and the cost are reduced.

The invention discloses an oil pumping unit transmission flexible connection fault diagnosis method based on big data and artificial intelligence. The oil pumping unit transmission flexible connection fault diagnosis method sequentially comprises the following steps of S1, collecting monitoring data related to oil pumping unit transmission flexible connection; s2, preprocessing the collected monitoring data; s3, a traditional machine learning method and a deep learning technology are fused, and an oil pumping unit transmission flexible connection fault early warning model is established; s4, analyzing the real-time monitoring data of the flexible connection by using the fault early-warning model, quickly judging abnormal conditions in the real-time monitoring data, making a fault early-warning and analysis report, and providing the fault early-warning and analysis report to a manager; and S5, continuously monitoring and optimizing the early warning model. According to the fault diagnosis method, through data management, an intelligent algorithm and model analysis, the transmission flexible connection state of the oil pumping unit is monitored in real time, potential faults are predicted and diagnosed in advance, and an alarm is given in time when a belt of the oil pumping unit or a steel wire rope of a beam hanger is broken, so that the production efficiency and safety of an oil well are improved, and construction of an intelligent oil field is assisted.

The invention relates to the technical field of oil well logging, in particular to a core storage short section and a drilling type well wall coring instrument. The core storage pup joint comprises a core storage pup joint base body, a core detection plectrum mechanism, a plectrum cylinder and a core storage cylinder, the plectrum cylinder is arranged on the periphery of the middle part of the core storage short section base body and is used for storing the plectrum; the core storage barrel is arranged in the core storage short section base body and used for storing the taken core; the rock core detection plectrum mechanism is arranged at the first end of the core storage short section base body and is used for counting the taken rock cores and pushing a plectrum to separate the taken rock cores. The drilling type side wall coring device needs to complete drilling coring and rock core recovery underground to guarantee completeness and storage of rock cores, so that the core storage short section is the key technology of the drilling type side wall coring device, and a structural mode that hydraulic pressure provides power to achieve rock core pushing, rock core separation and counting is provided for the drilling type side wall coring device. And the stability and the reliability of the core storage function of the drilling type side wall coring device are ensured.

The invention belongs to the technical field of preparation of hydrogen sulfide stress corrosion resistant oil well pipes, and relates to a 125ksi steel grade hydrogen sulfide stress corrosion resistant oil well pipe material suitable for a normal temperature environment containing 1MPa H2S and a preparation method of the 125ksi steel grade hydrogen sulfide stress corrosion resistant oil well pipe material. B, Ti, V and Nb elements are added, and the contents of Si, Mn and Ni elements, the Cr / Mo ratio and the sum of Nb, V and Ti in steel are controlled; the refined 100% sorbite structure, various compounds and microalloying are obtained through the processes of pure steel smelting, forging, controlled rolling and secondary heat treatment, so that high strength and high toughness in the 125 ksi range are obtained, and meanwhile the hydrogen sulfide corrosion resistance is high. The pipe product obtained by the process method disclosed by the invention has no corrosion cracking phenomenon after being subjected to a corrosion resistance test under the partial pressure of hydrogen sulfide of 1MPa.

The invention belongs to the petroleum and natural gas exploitation industry, and particularly relates to a loose sandstone reservoir fracturing filling double-particle-size proppant combination parameter optimization design method, which performs optimization design on specific parameters of the proppant such as filling particle size, filling seam length proportion, filling sequence and the like according to reservoir and oil well conditions and a corresponding double-particle-size combination mode. And finally, effective sand blocking is achieved, meanwhile, invasion blocking and permeability damage of stratum sand to a crack filling layer are reduced, the crack flow resistance is reduced, the comprehensive flow conductivity is improved, and the comprehensive effects of releasing the oil and gas well productivity are achieved.

The invention provides an oil well operation state analysis system and method, and relates to the technical field of oil well monitoring, and the system comprises an acquisition module which collects oil well operation data in real time; the data processing module preprocesses the operation data to obtain input data; the data analysis module constructs a 1D-CNN network model, and optimizes the 1D-CNN network model by using a grey wolf optimization algorithm to obtain an optimal analysis model; inputting the input data into the optimal analysis model to obtain abnormal data; the fault diagnosis module constructs a random forest network model, and optimizes the random forest network model by using an improved South goose algorithm to obtain an optimal diagnosis model; inputting the abnormal data into the optimal diagnosis model to obtain an abnormal type; and the early warning module receives the abnormal data and the abnormal type to generate a report and transmits the report to a user. Abnormal data are diagnosed through the fault diagnosis module, the abnormal type is obtained, and the oil well operation state analysis accuracy is improved.

The invention provides an oil-water well oil pipe thread profile measurement method based on three-dimensional point cloud adaptive slicing. The method comprises the following steps: step 1, obtaining an oil pipe thread three-dimensional point cloud image; 2, normalizing the 3D point cloud data; 3, extracting a global feature recognition point cloud image, carrying out point cloud positioning, and segmenting point cloud data; step 4, extracting the labeled detection area for denoising processing; step 5, segmenting the 3d point cloud image into a plurality of square blocks; step 6, performing projection mapping processing on the plurality of point cloud blocks from front view, top view and side view angles to obtain a pseudo picture; and step 7, carrying out pseudo image matching and combining with a loss function to judge whether the image is qualified. According to the oil-water well oil pipe thread profile measurement method based on the three-dimensional point cloud self-adaptive slicing, operation reworking caused by oil pipe sealing leakage is reduced, the working efficiency is improved, the crude oil yield loss is reduced, and it is avoided that the liquid supply capacity of an oil well is reduced due to leakage.

A methodology for optimizing the recovery from a system of wells is provided. The method is executed via a processor of a computing system. The method includes receiving input data for a system of wells. The method also further includes predicting, via a trained virtual flow meter, virtual flow rates for the system of wells for a scenario using a predicted pressure and temperature for the scenario. The predicted pressure and temperature are generated based on the input data. The method includes generating a production optimization recommendation based on the predicted virtual flow rates and a received rule for the system of wells. The method includes adjusting a manipulative parameter of a well in the system of wells based on production optimization recommendation.

The invention discloses a multiphase metering modeling system and a multiphase metering method for oil well produced substances. An oil well multiphase medium extraction simulation device of the system is used for measuring throttling pressure difference signals and temperature drop amplitude before and after a gas phase and a liquid phase of different flow combinations are mixed and pass through a selected oil nozzle, and an experimental data set is obtained; the metering model building module is used for building an oil well multiphase produced medium metering model based on the experimental data set, and a gas phase mass content calculation model is used for representing the relation among the fluctuation standard deviation of the throttling pressure difference before and after the oil nozzle, the temperature drop amplitude and the gas phase mass content; the total mass flow calculation model is a linear function relation between the ratio of the arithmetic square root of the average value of the throttling pressure difference before and after the oil nozzle device to the total mass flow and the gas phase mass content. The model established by using the system can accurately and conveniently meter the oil well multiphase produced medium, is wide in application range, and is still suitable for complex working conditions such as high gas-liquid ratio; and the ground technological process is simple, and the metering cost is low.

The invention discloses an inter-well connectivity quantification and analysis method and device, and relates to the technical field of water drive development, and the method comprises the steps: carrying out the interlayer division of an original model, and determining the distribution information of a water injection well and a producing well; an oil reservoir is divided into a plurality of grid units through a geometric segmentation method, and it is ensured that the water injection wells and the oil production wells are located in the grid units. And dividing a control area for each well by using a division rule, and determining the affiliation of the grid units through Euclidean distance comparison. And obtaining the conductivity between two adjacent grid units divided by the control boundary. And respectively evaluating the production and water injection capacities of the well by using the production index and the water injection index. And based on a finite volume method, constructing a mass conservation equation for the grid units, and carrying out iterative solution until convergence. And traversing the conductivity connectivity table to calculate a flow component, accumulating to obtain a total flow, deducing an inter-well connectivity coefficient according to the total flow, and realizing quantitative evaluation of the inter-well connectivity coefficient. The problems of how to optimize the injection-production well pattern design and how to improve the water drive development effect and the oil reservoir recovery efficiency are solved.

The invention discloses a low-power-consumption high-precision well deviation measuring system and an implementation method thereof, and relates to the field of oil well drilling detection, the system comprises an underground sensor module, a single-chip microcomputer microprocessor and an upper computer module, and the upper computer module is used for executing the following operations: according to the underground environment temperature and the underground environment pressure, calculating the underground environment temperature and the underground environment pressure; the borehole acceleration, the borehole geomagnetic field direction and the borehole angular velocity are compensated and calibrated, the real-time measured hole drift angle and the real-time measured azimuth angle are calculated to update the borehole measurement trajectory, and the borehole measurement trajectory is determined by calculating the trajectory deviation degree between the borehole measurement trajectory and the drilling operation design trajectory. Determining a target sensor sampling frequency matched with the trajectory deviation degree; the single-chip microcomputer microprocessor is used for adjusting the working frequency of the MEMS sensing unit according to the sampling frequency of the target sensor. Therefore, under the condition that the measurement precision is not sacrificed, the energy consumption of the well deviation measurement system can be greatly reduced, and the data reliability and long-term stability are improved.

A system and method are provided for adding chemicals to a produced fluid in a wellbore. An exemplary system includes a gauge hanger and a permeable container. The permeable container includes a solid cylindrical body, end caps placed at each end of the solid cylindrical body, and holes disposed proximate to each end of the permeable container, wherein the holes allow the produced fluid to flow through the permeable container from one end of the permeable container to the opposite end of the permeable container. The system further includes a well treatment chemical disposed in the permeable container.

The invention relates to the technical field of information retrieval, in particular to an intelligent monitoring method for operation of an oil well system based on digital twinning, which comprises the following steps: acquiring oil well operation data of at least two dimensions of each monitoring point in an oil well; the change trend similarity degree of any two kinds of oil well operation data is determined; the fluctuation correlation degree of any two kinds of oil well operation data is determined, and the change synchronization degree of any two kinds of oil well operation data is obtained in combination with the change trend similarity degree; the importance degree of the various oil well operation data is determined according to the correlation between the change synchronization degrees of the various oil well operation data and the other various oil well operation data, so that the importance of the various oil well operation data can be determined according to the importance degree of the various oil well operation data. Therefore, the oil well operation data with high importance can be focused, the loss risk of important data is reduced, and the data processing reliability is improved.

A method to unload a fluid mixture from an underground production tubing, in order to reduce the hydrostatic pressure within the fluid mixture. A method to kill an oil or gas well by equalizing pressure between the production tubing, the casing annulus, and a surface tank battery, by de-pressurizing the fluid within the production tubing and the casing annulus, and by pumping a kill fluid. One goal of the methods may be to avoid discharging unwanted liquid phase or gas phase to the atmosphere, therefore reducing unnecessary emissions, and valuing the recovered products.

The utility model relates to the technical field of oil well pumps, in particular to a supporting tool for a pump cylinder of an oil well pump, which comprises a pair of symmetrically arranged supporting components. The supporting assembly comprises a base, the upper end face of the base is vertically connected with a vertical plate, the vertical plate is in threaded connection with a horizontally-arranged lead screw, one end of the lead screw is connected with a hand wheel, the other end of the lead screw is rotationally connected with a supporting block, and the two sides of the supporting block are symmetrically provided with obliquely-arranged supporting faces. A pair of L-shaped supports are symmetrically arranged on the two sides of the supporting block, the transverse ends of the L-shaped supports are provided with inclined faces in sliding fit with the supporting face of the supporting block, the longitudinal ends of the L-shaped supports are sleeved with sliding sleeves in a sliding mode, and the sliding sleeves are fixedly connected with the vertical plate. The pump cylinder supporting device is simple in structure, low in manufacturing cost, capable of supporting and fixing pump cylinders of different sizes and more flexible and convenient to use, the outer wall of the supported pump cylinder is not shielded, and polishing and coating operation is not affected.

The invention provides a WaveNet-BiLSTM-ATA oil well yield prediction method based on PSO optimization, and the method is characterized in that the method comprises the following steps: 1) collecting oil well time sequence characteristic data; 2) data cleaning and preprocessing; 3) executing data formatting and standardization operation to adapt to model test requirements; 4) dividing a training set and a test set according to oil well models; 5) screening important features of the oil well by adopting an isolated forest and a Pearson's correlation coefficient method, and constructing a daily oil production data set; 6) sequentially inputting the oil well characteristics in the step 5) into a WaveNet module and a BiLSTM module, introducing an ATA mechanism at the same time, and building a prediction model; 7) optimizing model hyper-parameters by using a PSO algorithm; and 8) carrying out grouping performance verification by adopting an independent test, completing model evaluation by calculating MAE, RMSE and MAPE indexes, and outputting a prediction result at the same time. According to the method, the WaveNet local feature extraction capability, the BiISTM bidirectional time sequence modeling advantage and the PSO efficient parameter optimization characteristic are fused, so that a relatively good prediction effect is obtained in a specific oil well test.

Method of removing casing from a well, in which an annulus between the outside of the casing and the inside of a surrounding downhole body is at least partially filled by debris, the perforated section of casing is washed in casing lengths shorter than the perforation length and an attempt made to pull the casing after each shorter length is washed. If the casing is free after washing only a shorter section of the perforated section of casing then it can be recovered and saves the washing time. A bottom hole assembly is described which includes a downhole power tool to exert a greater force to pull the section of casing between washing steps.

The invention discloses a uniform steam injection oil extraction pipe column which comprises an oil pipe, packers are arranged at the top and the bottom of each oil layer, the packers are located between the oil layers and a sleeve, the packers are fixedly connected with the oil pipe, one end of an adjusting screen pipe is connected with the packers, the other end of the adjusting screen pipe is connected with the oil pipe, an oil extraction valve is fixedly connected with the oil pipe, and a first screwed plug is installed at one end of the oil pipe. Oil layers are sleeved outside the oil pipe, and packers are arranged at the two ends of each oil layer; a first screwed plug is installed at one end of the oil pipe. According to the invention, the integration of injection and production is realized, the utilization time rate of an oil well is improved, the operation cost is reduced, and the adverse effect on the ground environment in the operation process is further reduced. Mutual interference between the high-pressure oil layer and the low-pressure oil layer in the oil extraction process is avoided, the reasonable steam injection amount of an oil reservoir is achieved, the oil reservoir development effect is greatly improved, and certain reference significance is achieved for development of complex oil reservoirs.

The application belongs to the technical field of oil well production management, and discloses a submersible electric pump well group management system and method based on digital twinning. The method collects the operation data of the submersible electric pump unit and the environmental data in the wellbore in real time, constructs a multi-scale digital twinning model for the received data, obtains the mechanical structure and electrical characteristics of the submersible electric pump unit, the multiphase flow dynamics in the wellbore, and the geological pressure field data, performs trend prediction on the multi-scale digital twinning model operation parameters, energy efficiency indicators and health status of each well, correlates the trend prediction data with the historical health database through a machine learning algorithm and an expert knowledge base, completes early warning and intelligent diagnosis of equipment failure, and generates a maintenance strategy. The application can assist managers in decision-making based on the historical health database. The application can realize unified management and intelligent well inspection of multiple well sites, and greatly improves the efficiency of oil well production management.

The invention relates to the technical field of temporary plugging agents, and discloses a water-soluble temporary plugging agent for oil well fracturing and a preparation method thereof. According to the prepared water-soluble temporary plugging agent, sodium lignin sulfonate / graphene oxide serves as a core, then the surface of the core layer is coated with a polyacrylic acid-polyacrylamide copolymer to form a first shell layer, and then the surface of the first shell layer is coated with acrylate modified chitosan to form a second shell layer; the temporary plugging agent is applied to oil well fracturing, not only has excellent plugging performance, dissolving performance and anti-shearing performance, but also can improve the transportation capacity of the temporary plugging agent in the oil well fracturing process.

The invention provides a shale oil well pressure recovery well test interpretation method and device and electronic equipment.The method comprises the steps that effective well shut-in pressure test data and well entering time of a pressure gauge are obtained, the effective well shut-in pressure test data are well bottom pressure data after well shut-in and after the pressure gauge is lowered to the target test depth away from a well opening, and the well entering time is obtained; the well entering time is the time required for lowering the pressure gauge to a target test depth from a well mouth after the well is closed; obtaining well shut-in starting time and a pressure gradient in a well entering process of the pressure gauge; according to the pressure gradient, fluid pressure data at the well shut-in starting time and the target test depth from the well mouth are calculated to serve as supplementary pressure data; according to the effective shut-in pressure test data, the well entering time and the supplementary pressure data, a complete pressure recovery well test curve is determined; and on the basis of the complete pressure recovery well test curve, pressure recovery well test interpretation is carried out. According to the method, the problem of data missing in the early stage of well shut-in testing can be solved, the integrity of a pressure recovery well testing curve is guaranteed, and the accuracy of pressure recovery well testing interpretation is improved.

The invention relates to the technical field of oil extraction and water reduction, in particular to an oil extraction and water reduction combined multi-source heating system which comprises an oil storage and water reduction separator, a liquid inlet is formed in one side of the top of the oil storage and water reduction separator, an exhaust port is formed in the middle of the top of the oil storage and water reduction separator, and a water outlet and an oil outlet are formed in one side of the bottom of the oil storage and water reduction separator. The oil storage and water reduction separator is used for receiving produced liquid with high water content in an oil well, removing a water phase and a gas phase through physical separation, outputting an intermediate oil phase with low water content to the heating furnace, and conveying the separated high-temperature water phase to the multi-source heat pump unit for heat recovery. Compared with the prior art, the oil storage and water reduction separator is arranged to be matched with the waste heat recovery multi-source heat exchange unit, most of water phases in produced liquid are rapidly removed, the follow-up treatment burden is relieved, the conveying efficiency is improved, multi-source cooperative energy supply is achieved, dependence on traditional fossil energy is reduced, and the energy utilization efficiency is improved; the environment-friendly property and the sustainability are good.