2322 results about "Oil production" patented technology

The invention provides an oil extraction equipment fault monitoring system and method, and belongs to the technical field of oil extraction equipment fault monitoring. The method comprises the following steps: acquiring operation data of oil extraction equipment, and performing feature extraction on the acquired operation data to obtain a target feature vector; fusing the obtained target feature vector with a historical fault case library and an oil extraction equipment physical constraint equation, and constructing a dynamically updated knowledge graph; based on the space-time causal adversarial network, analyzing the distribution offset of the target feature vector in the space-time dimension, detecting an abnormal event and outputting an abnormal type label; and according to the output abnormity type label, combining with a knowledge graph, tracing a propagation path of an abnormal event, and calculating a fault probability of a root cause component through a Bayesian network so as to carry out monitoring and early warning on the oil extraction equipment. According to the method, accurate fault detection and root cause positioning are realized through multi-modal data fusion and the dynamic causal knowledge graph, and the equipment shutdown risk and the operation and maintenance cost are remarkably reduced.

The invention relates to the field of production fault analysis, in particular to a fault monitoring analysis method and system for lubricating oil production. The method comprises the following steps: acquiring a multi-dimensional working monitoring parameter and an omnibearing working image; performing abnormal outlier filtering processing on the multi-dimensional working monitoring parameters, and performing time sequence evolution simulation to generate time sequence state evolution data; performing continuous frame optical flow motion analysis on the omnibearing working image, performing dynamic parameter mapping based on time sequence state evolution data, and constructing a dynamic production twinborn model; obtaining a preset production standard demand log; carrying out dynamic process deviation detection based on a preset production standard demand log dynamic production twinborn model, and carrying out production fault analysis so as to obtain stage production fault data; performing potential fault traceability speculation on the staged production fault data to obtain an abnormal fault potential node; and constructing a potential fault mark twinborn model based on the abnormal fault potential nodes. According to the invention, efficient and accurate fault analysis of lubricating oil production is realized.

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 present invention relates to the field of oil production engineering equipment. Disclosed are a waterflooding and well flushing system and an integrated water distributor thereof. The integrated water distributor comprises a main body with a hollow channel, and a setting mechanism slidably sleeved on the main body, wherein the main body is internally provided with a well-flushing fluid channel, a waterflooding valve, and a well flushing and waterflooding control mechanism for controlling the connection state of the well-flushing fluid channel and the open / closed state of the waterflooding valve; the well flushing and waterflooding control mechanism comprises a well flushing and waterflooding shared electrically-controlled transmission shaft and a well-flushing piston; and the waterflooding valve is connected to the well flushing and waterflooding shared electrically-controlled transmission shaft. When the waterflooding valve moves to an open state as the well flushing and waterflooding shared electrically-controlled transmission shaft slides, the hollow channel is in communication with a space outside the main body, and at the same time, the well-flushing piston blocks the well-flushing fluid channel. The integrated water distributor can effectively prevent the well-flushing fluid channel from being accidentally connected due to residual pressure of strata during waterflooding operation.

The invention relates to the technical field of data control, in particular to a digital visual control method and system for a grease production line. The method comprises the following steps: acquiring full-process physical data; performing noise filtering on the whole-process physical data to obtain whole-process noise filtering data; abnormal data detection is carried out on the whole-process noise filtering data, and abnormal data are removed to obtain a whole-process data set of the grease production line; therefore, by constructing a feature driving mechanism of physical-data fusion of the grease production line, the problems of low data utilization rate, insufficient prediction precision and control optimization lag in a traditional grease production line are solved, and the operation efficiency and decision intelligent level of the grease production line under complex working conditions are improved.

The invention discloses an intelligent prediction method for fracture pressure of a compact conglomerate reservoir based on an improved Transform architecture, and relates to the technical field of combination of deep learning and oil extraction. Comprising the following steps: acquiring fracture pressure data of fractured wells in the same block and logging parameters related to the fracture pressure, matching the fracture pressure with the logging parameters, and preprocessing the data to obtain initial data; based on a CAE-SOM self-organizing mapping neural network, clustering the initial data to obtain sample categories under different geological conditions; based on a generative adversarial network, sample categories under any geological condition are expanded to obtain a training set; and in combination with an attention mechanism, training the Transform model, and predicting the fracture pressure of the block reservoir by using the trained Transform prediction model. According to the method, the limited fracture pressure data can be accurately utilized for prediction, so that a more efficient method is provided for providing powerful support for fracture design and segmented clustering optimization.

The invention provides an automatic history fitting method for gas drive numerical reservoir simulation, which comprises the following steps of: 1, establishing a gas drive numerical simulation mathematical model, and correcting the gas drive numerical simulation mathematical model by using a gas drive PVT phase state fitting experiment; 2, solving the corrected gas drive numerical simulation mathematical model obtained in the step 1, performing parameter analysis, and screening main control factors influencing accumulated oil production; 3, generating a numerical simulation training sample set based on an orthogonal experiment, and obtaining the main control factor parameter initial value constraint screened out in the step 2 through a machine learning algorithm; step 4, establishing a multi-parameter fitting objective function for realizing historical fitting; and step 5, using the main control factor parameter initial value constraint obtained in the step 3, performing iterative calculation through a projection gradient method, fitting the target function established in the step 4, and terminating when a convergence condition is satisfied. According to the method provided by the invention, the constraint parameter values can be adaptively calculated, automatic historical fitting is completed, and the definition of the fitting parameter range does not depend on empirical and experimental determination any more.

The invention discloses a molecular simulation method and device for exploiting shale oil through carbon dioxide huff and puff, and belongs to the technical field of shale oil exploiting. Constructing a pore model, filling target component oil molecules, and pre-balancing to achieve a stable occurrence state; mD relaxation simulation is firstly carried out, and then an initial model is obtained through combination; applying constant injection pressure to the initial model, and performing NEMD relaxation simulation to obtain a CO2 huff and puff oil production model; and reducing the applied constant pressure to the pressure in the depressurization mining stage, and performing NEMD relaxation simulation of depressurization mining. The device comprises: a control module having a built-in program for executing the molecular simulation method; a display module; and a pressure adjusting module. According to the method, the similar actual underground CO2 huff and puff shale oil state and pressure environment can be simulated, and the action rule of CO2 huff and puff shale oil is observed from the microscopic level, so that a theoretical research basis is provided for improving the yield and recovery ratio of a shale oil reservoir.

The invention provides an oil-water separation real-time monitoring system in a petroleum extraction process, and belongs to the field of image processing, and the method comprises the following steps: obtaining an oil-water separation image of each frame and an emulsion layer area in the oil-water separation image of each frame; obtaining the separation degree of the oil-water separation image of each frame according to the gray level distribution of the pixel points in the emulsion layer area of each frame and the distribution difference of the gradient values of the pixel points in the emulsion layer areas of each frame and the first frame; and setting the length of the time interval, and comparing the separation degrees of the oil-water separation images of different frames in the same time interval to obtain the oil-water separation effect in each time interval. The invention aims to solve the problem that the oil-water separation effect in each time interval cannot be accurately judged directly through an oil-water separation image due to low image discrimination in the oil-water separation process in the oil extraction process.

The embodiment of the invention provides an unconventional oil reservoir oil extraction contribution degree determination method and device, equipment and a medium. The method comprises the steps that the relation between the saturation degree of wet-phase fluid and capillary pressure in an oil reservoir is determined according to a plurality of reference capillary pressure curves; performing simulation analysis on the crack propagation direction and the seepage pressure in the oil reservoir volume fracturing process, and determining a three-dimensional propagation rule of the crack and artificial crack parameters; performing coupling processing on the three-dimensional fracture model and the matrix attribute model to obtain an oil reservoir geological engineering integrated model; establishing a numerical simulation model according to the relationship between the wet-phase fluid saturation and the capillary pressure and the reservoir geological engineering integrated model; performing numerical simulation on the oil reservoir development process through the numerical simulation model to obtain data simulation results of the oil reservoir in different development stages; the oil production contribution degrees of displacement and imbibition in different development stages of the oil reservoir are determined according to a data simulation result, and a theoretical basis and technical support are provided for oil reservoir exploitation.

The invention relates to the field of mechanical oil extraction of oil fields, and discloses an energy consumption braking anti-reverse device and method for an electric submersible centrifugal pump directly driven by a permanent magnet motor. The control cabinet is arranged on the ground, is connected with the permanent magnet synchronous motor in the submersible permanent magnet motor direct-drive electric submersible centrifugal pump oil extraction system through a cable, and can monitor and respond to the working state of the permanent magnet synchronous motor in real time, so that the permanent magnet synchronous motor drives the electric submersible centrifugal pump to work; an energy consumption braking circuit and a motor monitoring protection circuit are arranged in the control cabinet; the motor monitoring protection circuit is used for monitoring and responding to the working state of the permanent magnet synchronous motor in real time; the energy consumption braking circuit is used for being connected when the permanent magnet synchronous motor loses power and consuming reverse electric energy generated by the permanent magnet synchronous motor in time when the permanent magnet synchronous motor rotates reversely. The problem that the service life of the motor is shortened due to the fact that electric energy generated by reverse rotation of the permanent magnet motor under the power-off condition is converted into heat energy to be consumed in the motor can be effectively prevented.

The invention discloses a filtering device for grain and oil production and a filtering method thereof, the filtering device is applied to the discharging end of a filtering tank, the filtering tank comprises a tank body, a feeding pipe and a discharging pipe, impurity filtering equipment comprises a filtering pipe, a filtering net plate and a filter pressing plate, and the filter pressing plate is in sliding and sealing connection with the inner wall of the filtering pipe. The filter pressing plate is arranged in the filter pipe in a manner of moving up and down, a plurality of flow guide holes are formed in the filter pressing plate, a sealing plate is arranged at the bottoms of the flow guide holes, adjusting blocks which are symmetrically distributed and can move up and down are arranged below the filter pipe, the filter screen plate is arranged at the bottom of the filter pipe, and the filter screen plate and the filter pipe are in sliding and sealing connection; a rotatable adjusting shaft is arranged on each adjusting block, and the adjusting shafts are fixedly connected with the filter screen plate. By means of the filter pressing mode, the discharging efficiency of materials in the tank body can be further improved, the problem that the filtering efficiency is reduced due to the fact that impurities at the filter screen plate are increased is effectively solved, and the overall filtering and separating efficiency is improved.

Disclosed is a synchronous one-injection and two-production tubing string for a single horizontal well, comprising an oil well pump (100), an upper bridge-type packer (300), an oil production bridge-type working barrel (400), a lower bridge-type packer (500), a hydraulic packer (600), and a soluble bottom plug (700). A first central channel (301) and a first bridge-type channel (302) which are independent of each other are provided in the upper bridge-type packer (300), and a first rubber cylinder structure (305) is provided outside the upper bridge-type packer (300); a second central channel (401) and a second bridge-type channel (402) which are independent of each other are provided in the oil production bridge-type working barrel (400), a lateral opening (403) capable of communicating the second central channel (401) and the outside of the oil production bridge-type working barrel (400) is further provided in the oil production bridge-type working barrel (400), and a temporary pipe (404) capable of sealing and blocking the lateral opening (403) is connected to the lateral opening (403) by means of a temporary shear pin (4041); a third central channel (501) and a third bridge-type channel (502) which are independent of each other are provided in the lower bridge-type packer (500), and a second rubber cylinder structure (505) is provided outside the lower bridge-type packer (500). Water injection at a middle section and oil production at two end sections of a horizontal well can be implemented by means of the tubing string, and injected water and produced liquid flow channels do not interfere with each other.

The invention discloses an oil reservoir injection-production optimization method based on an improved multi-objective particle swarm algorithm, and belongs to the technical field of oil and gas field development. According to the method, an attention mechanism, a Transform and a long-short-term memory network are introduced based on a relational graph convolutional network, geological features and production system information are combined, inter-well water content prediction is taken as a target, an HSTMF model is constructed, an injection-production well production system does not need to be adjusted, the calculated amount is greatly reduced, and the prediction precision is remarkably superior to that of a traditional method; in the aspect of optimization algorithms, a Cauchy disturbance variation mechanism is introduced into a genetic algorithm and combined with a particle swarm optimization algorithm to form a new optimization strategy, a real-time closed-loop collaborative oil reservoir management framework is constructed in combination with the moisture content prediction capability of an HSTMF model, the net present value and the total oil production are effectively increased, the total moisture content is reduced, and good practical application value is shown.

The invention relates to the field of oil and gas field development, and particularly discloses a collaborative optimization design method and system for infilled well position parameters and injection-production parameters. The method comprises the following steps: step 1, constructing a collaborative optimization mathematical model of infilled well location parameters and injection-production parameters; step 2, constructing a remaining oil recoverable potential map of the target block; 3, collaborative optimization preparation work of the infilled well position, the track, the well type / switch state and the injection-production parameters is completed; step 4, adding the combination scheme of the infilled well position, the track, the well type / switch state and the injection-production parameters and the corresponding accumulated oil production into a cache scheme set; 5, an improved whale optimization algorithm is adopted to repeatedly optimize and update to generate a new encrypted well position, track, well type / switch state and injection-production parameter combination scheme, and the evaluation, caching and updating process is repeatedly executed until the termination condition is met; and step 6, outputting an optimal combination scheme of the infilled well position, the track, the well type and the injection-production parameters. The method can greatly improve the recovery efficiency of the water-drive oil reservoir.

The invention provides an oil well oil production prediction method based on CEEMDAN-SA-LSTM, and the method is characterized in that the method comprises the following steps: 1) collecting oil well feature data, complementing missing values, processing abnormal values, and converting a data set into a format suitable for model training; 2) carrying out importance analysis by utilizing a Boruta algorithm, and constructing an oil well oil production characteristic data set; 3) performing data set division on the data converted in the step 2); and 4) carrying out feature decomposition by using CEEMDAN and carrying out data dimension reduction by using PCA to obtain a final component feature data set. 5) inputting the final component feature data set into the SA-LSTM model for training, and constructing a prediction model; 6) adjusting and optimizing the model by adopting a parallel genetic algorithm to obtain an optimal parameter combination; and 7) according to the trained oil well oil production prediction model, using test set data to verify the model performance, and predicting the oil well oil production. The invention discusses the method for predicting the oil production of the oil well by using the CEEMDAN-SA-LSTM model, and the method can obtain a better prediction result.

The invention provides an infilled well location determination method and device based on old well water ridge waves and a model. The infilled well location determination method comprises the steps that reservoir physical property parameters and fluid parameters of a production horizon of a target horizontal well and production dynamic data of the target horizontal well are obtained; obtaining a relative permeability curve and oil displacement efficiency through a rock core relative permeability experiment; the height of a water ridge during sidetrack drilling is calculated; the water ridge height, the reservoir physical property parameters, the fluid parameters and the production dynamic data are substituted into a horizontal well oil-water interface description formula, and the formula is nondimensionalized through normalization deformation; the corresponding relation between the dimensionless cumulative oil production and the dimensionless water ridge width and the dimensionless water ridge height is calculated through the oil displacement efficiency according to the water-oil displacement theory; establishing a data map comparison table of the dimensionless cumulative oil production, the dimensionless water ridge width and the dimensionless water ridge height, and judging the limit well spacing of the infilled well according to the data map comparison table; and according to the limit well spacing, carrying out encryption or branch reconstruction on the target horizontal well.

The invention provides a method for calculating a pump indicator diagram based on a ground indicator diagram of a physical information neural network, and relates to the technical field of petroleum production. The method comprises the following steps: firstly, processing displacement data and load data at a suspension point of a rod-pumped well, and setting a displacement function and a load function at the suspension point as boundary conditions of a one-dimensional wave equation with damping for describing the fluctuation of a sucker rod string; converting the dimensioned one-dimensional wave equation with damping into a dimensionless one-dimensional wave equation with damping; then determining the structure of a physical information neural network model, constructing a physical constraint according to a dimensionless one-dimensional wave equation with damping, and determining a total loss function of the physical information neural network model; and finally, training the physical information neural network model to obtain model parameters of the physical information neural network, outputting the displacement and the load at the plunger of the oil well pump by the trained physical information neural network model, and generating a pump indicator diagram after variable replacement.

The invention relates to a simulation system for operation and maintenance work of an underwater oil extraction structure. The simulation system comprises a semi-physical interaction device, a control module and a visual simulation module, the semi-physical interaction device is used for a diver to install, operate and maintain an underwater Christmas tree, and collecting the body movement posture, the hand position and posture of the diver and the state data of the underwater Christmas tree in the operation process. The control module is used for carrying out control and data monitoring on the semi-physical interaction equipment and sending control and monitoring data to the visual simulation module; and the visual simulation module is used for simulating a three-dimensional scene according to all data. Based on a semi-physical interaction technology, interactive simulation of a diver using a virtual or semi-physical tool and an underwater production facility in a limited space is realized, and the technical problem of diver movement and virtual reality interactive simulation operation is solved. Therefore, the invention can be widely applied to the technical field of underwater operation.

The invention relates to the technical field of oil production engineering, in particular to a fracturing process for a tight oil horizontal well, which comprises the following steps: acquiring geological data information; determining a rock stratum state according to the pore reference value of the to-be-constructed area and the tight oil enrichment degree, and determining a target stratum setting mode according to the rock stratum state; perforation is conducted on the toe end of the horizontal well, and fracturing operation is conducted on all target layers after perforation of the toe end of the horizontal well is completed; the injection amount of CO2 fracturing fluid is determined according to the length of the reference oil-containing sandstone, and the content of a thickening agent is determined according to the reservoir pressure; if the fracture density is smaller than the preset fracture density, it is determined that the fracturing fluid adjusting mode of the rear target layer is an optimization mode determined according to the gravel particle size difference degree or adjustment is conducted according to the injection pressure of CO2 fracturing fluid according to the gravel state of the proppant; after the CO2 fracturing fluid is injected into the whole well section, the well closing time is determined according to the comprehensive reference value; and drilling and removing the bridge plug. The fracturing effect can be improved, and the exploitation efficiency of the tight oil horizontal well is improved.

The invention relates to the technical field of oil production engineering, in particular to a wellhead blowout prevention device which comprises a blowout prevention shell, a left valve element, a right valve element and a driving assembly, and a mounting through hole for a polish rod to penetrate through is formed in the upper end of the blowout prevention shell. The structure is reasonable and compact, when the polish rod in the mounting through hole is not in the center, the right valve element moves leftwards, the eccentric polish rod can move into the right sealing groove along the inner wall of the guide groove, the eccentric polish rod can be centralized, then the guide part moves rightwards to make contact with the guide groove in a sealed mode, and therefore the polish rod is prevented from being blocked. And finally, the left sealing groove, the guide part and the right sealing groove are close to one another to form a vertically-through cylindrical sealing hole, the outer side of the polish rod is in sealing contact with the inner wall of the sealing hole, and therefore the effect of closing the mounting through hole is achieved, and the mounting through hole can be timely and rapidly closed through the driving assembly when leakage or steam channeling blowout happens to the polish rod. The safe operation of the wellhead blowout preventer of the oil pumping unit is ensured, and the occurrence of wellhead pollution events is reduced.

The present invention discloses a method, device, equipment and medium for optimizing a well group injection and production scheme based on a logistic regression algorithm, including: dividing a training set and a test set; constructing a sliding time window optimization algorithm based on a Pearson correlation coefficient algorithm; constructing a production prediction model based on logistic regression, and training the production prediction model at varying time intervals and a number of different preset time periods; verifying the production prediction model based on a test set; determining the upper limit of water injection and the upper limit of liquid production of the well group; taking the upper limit of water injection and the upper limit of liquid production as extreme values, traversing a number of combinations of water injection and liquid production, and predicting the unit time oil production of each combination based on the production prediction model; taking the maximization of unit time oil production and the minimum adjustment degree of the combination as the goal, outputting the optimal combination of water injection and liquid production of the well group. The present invention belongs to the field of well network oil production. The present invention can improve the development and management efficiency of water-injected oil fields.

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 relates to the technical field of oil extraction well mouths, and discloses a full-sealed leakproof oil extraction well mouth which comprises a pipe valve, an oil pipe fitting is installed below the pipe valve, the bottom of the oil pipe fitting is connected with a sleeve pipe fitting, and a sealing assembly is arranged on the oil pipe fitting; the sealing assembly comprises a flow channel sealing device, an inflation sealing device and a filtering device. According to the full-sealed leakproof oil extraction wellhead, liquid can be provided through the arranged flow channel sealing device to surround and seal the joints of a Christmas tree, tureen type sealing with the principle similar to that of a pickled Chinese cabbage jar is arranged, absolute sealing of the inner layer and the outer layer is guaranteed, the liquid surrounds the peripheral joints of all components of the pipe valve, and then the liquid is solidified along with the room temperature; the curing sealing layer is generated, integral sealing of oil and gas is achieved, a good sealing effect can be provided for an oil way through the sealing mode, and the situation that the sealing effect is reduced along with limitation of using time is avoided.

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.

The invention discloses a well group injection-production scheme optimization method and device based on a logistic regression algorithm, equipment and a medium. The well group injection-production scheme optimization method comprises the steps that a training set and a test set are divided; constructing a sliding time window optimization algorithm based on a Pearson's correlation coefficient algorithm; constructing a logistic regression-based yield prediction model, and training the yield prediction model according to the change time interval and a plurality of different preset time periods; verifying the yield prediction model based on the test set; determining a water injection rate upper limit and a liquid production rate upper limit of the well group; traversing a plurality of combinations of the water injection rate and the liquid production rate by taking the upper limit of the water injection rate and the upper limit of the liquid production rate as extreme values, and predicting the oil production per unit time of each combination based on a yield prediction model; and outputting the optimal combination of the water injection rate and the liquid production rate of the well group by taking the maximization of the oil production rate in unit time and the minimum adjustment degree of the combination as targets. The invention belongs to the field of well pattern oil extraction. The development management efficiency of the water injection oilfield can be improved.

The invention relates to the technical field of grease production, and discloses a temperature control device and method for grease production, and the device comprises a tank body which is internally provided with a stirring main body and at least four turbulent flow main bodies, and the turbulent flow main bodies are arranged at the outer side of the stirring main body; the liquid supply main body is used for providing cooling liquid for the stirring main body, two flow channels are formed in the stirring main body, and the two flow channels communicate with the liquid supply main body through the valve body; the temperature sensor is arranged in the tank body and is used for detecting the temperature uniformity of the grease in the tank body; and the control module is used for controlling the valve body to switch the flowing direction of the cooling liquid in the two flow channels when the grease temperature uniformity detected by the temperature sensor does not meet the set condition. According to the invention, grease can be fully stirred, the flowing direction of cooling liquid can be controlled according to the temperature uniformity of the grease in the tank body, and the temperature consistency of the grease in all positions in the tank body is improved, so that the control precision of the temperature of the cooling liquid is improved, the crystallization separation effect of solid fat is ensured, and the production quality of the grease 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.

The invention discloses an oil exploitation oil well pipeline packer, and relates to the technical field of packers. The oil exploitation oil well pipeline packer comprises a central pipe, a conical barrel assembly and a slip bowl, the conical barrel assembly and the slip bowl are sequentially arranged on the central pipe, and a slip body is arranged on the side, close to the conical barrel assembly, of the slip bowl; the conical barrel assembly comprises a straight barrel part and a conical barrel part, the conical parts are evenly arranged at the end, close to the slip body, of the straight barrel part in a claw shape, and a first containing space is reserved between every two adjacent conical parts; the pressure cone plate is positioned in the accommodating space I; according to the oil well pipeline packer for oil exploitation, a force application component is arranged on a slip bowl, a rotatable pressure cone plate is arranged on a conical barrel assembly, and a stress component is arranged on the pressure cone plate, so that a slip main body has two opening steps, and the oil well pipeline packer for oil exploitation can be used for a reducing oil pipe.

The invention discloses a compression type packer capable of being repeatedly set, and belongs to the technical field of oil production engineering equipment. A rubber barrel shaft is arranged on the outer circumference of a center pipe, a rubber barrel is arranged on the outer circumference of the rubber barrel shaft, a first sealing ring is arranged at one end of an upper pressing ring, an upper connector is arranged at the other end of the first sealing ring, a cylinder sleeve is arranged at the other end of the rubber barrel shaft, and an anti-resistance nail is arranged on the cylinder sleeve; and a plurality of setting valve core mechanisms and unsetting valve core mechanisms are arranged on the outer circumference of the second sealing ring on the outer circumference of the central pipe. The setting compression type packer is pressed to extrude the first medium container in the packer, hydraulic oil in the first medium container flows into the second medium container through the upper one-way constant-pressure valve element, the hydraulic oil in the second medium container is increased, the pressure is increased, and the internal hydraulic pressure is reduced by increasing the size of the second medium container; the second medium container extrudes the rubber barrel through the central pipe, the rubber barrel expands, the outer diameter is increased, a pipeline is packed, setting and unsetting of the compression type packer are achieved, and the actual production requirement is met.