1739 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 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 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 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 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 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 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 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 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.

The invention provides a lubricating oil production multi-source data fusion analysis method which comprises the following steps: acquiring a stirrer rotating speed signal, acquiring pressure distribution data of a corresponding pipeline, and if the stirrer rotating speed fluctuation range exceeds a preset threshold range, marking that the stirring rotating speed is abnormal; analyzing the pressure distribution change of the pipeline when the stirring rotating speed is abnormal, combining the monitored viscosity change of the oil fluid and the difference of the oil circulating flow speed, and performing fusion calculation to obtain a shear stress distribution index in the pipeline; if the shear stress distribution index is abnormal, the suspension state of oil particles and the deposition rate of pollution particles are detected, and if the suspension state and the deposition rate exceed corresponding preset threshold values, the oil pollution diffusion degree is determined through the suspension state and the deposition rate; and identifying abnormal equipment according to the abnormal signal time sequence correlation, acquiring operation parameters of the abnormal equipment, synchronously analyzing to obtain equipment operation state coupling, analyzing equipment fault chain reaction characteristics, and generating an equipment chain abnormality distribution diagram according to the chain reaction characteristics.

The invention relates to the technical field of oil field separate-layer oil production, and particularly discloses an oil well pressure pulse control separate-layer oil production tubular column, an intelligent separate-layer oil production device is arranged in the tubular column, the intelligent separate-layer oil production device comprises two oil inlet channels capable of regulating and controlling the liquid inlet flow, and an inlet of one oil inlet channel is formed in the side wall of the tubular column; the intelligent separate recovery device is connected with the pulse receiver through a signal line, the output end of the intelligent separate recovery device is connected with an oil well pump, the oil well pump is connected with a sucker rod and pumps oil out through the sucker rod, a packer is connected to the outside of the tubular column and arranged below the intelligent separate recovery device, a screen pipe is connected to the tubular column below the packer, and the screen pipe is connected with the output end of the intelligent separate recovery device. And the screen pipe is communicated with an inlet of the other oil inlet channel. According to the tubular column, specific pressure pulse codes can be generated in a shaft sleeve through the pressure pulse generator, after the pulse receiver detects and analyzes the codes, the intelligent separate recovery device is controlled to automatically adjust different opening degrees of oil nozzles of corresponding production layers according to different pulse instructions, and oil layer separate recovery is achieved without moving the tubular column.

The invention relates to a method for evaluating the oil production potential of an oil reservoir in an ultra-high water cut period, and belongs to the technical field of oil development. According to the method for evaluating the oil production potential of the oil reservoir in the extra-high water cut period, various parameters influencing the oil production capacity and the time-varying property of the permeability in the production process are comprehensively considered, the virtual well method is introduced to calculate the oil production of each grid, and oil production potential distribution diagrams of different areas are generated; therefore, the oil production capacity of oil reservoirs in different areas in the later stage of water drive development is quantitatively and visually represented, potential tapping scheme deployment is quantitatively guided, and the method has important guiding significance for fine development of ultra-high water-cut oil reservoirs. According to the method, various factors influencing the oil production capacity of the oil reservoir are comprehensively considered, and the problem that oil production potential description of remaining oil is not accurate enough is solved; meanwhile, the influence of the accumulated water injection rate of the water injection development oil reservoir in the extra-high water cut period on the permeability is considered, the permeability of the digital-analog model is updated and corrected through the relation between the water passing multiple and the permeability, and the precision of quantitative characterization of the oil reservoir numerical model and the oil production potential is improved.

The system comprises a plurality of oil pipes and a plurality of pipe penetrating packers, the oil pipes are arranged on the inner side of a casing pipe, every two adjacent oil pipes are connected through an intelligent control switch, and each intelligent control switch is used for opening and closing a channel, communicating with the inner side of the oil pipe, of the outer side of the oil pipe. The intelligent control switch is provided with an in-pipe pressure gauge for detecting the pressure inside the oil pipe and an out-pipe pressure gauge for detecting the pressure outside the oil pipe; the pipe penetrating packers are used for dividing the outer side of an oil pipe and the inner side of a sleeve into a plurality of independent cavities, and each intelligent control switch is located between the two corresponding pipe penetrating packers. The separate mining method is implemented based on the underground intelligent separate mining system. The intelligent control switch has the beneficial effects that each intelligent control switch is provided with the in-pipe pressure gauge for detecting the pressure on the inner side of the oil pipe and the out-pipe pressure gauge for detecting the pressure on the outer side of the oil pipe, so that the corresponding real-time oil layer pressure is obtained, reasonable working parameters can be formulated, and the optimal oil yield is obtained.

The present application discloses a system for simulating steam channeling plugging and profile control in heavy oil reservoirs based on microfluidics, which includes two etched transparent dielectric sheets with pore structures for reflecting steam channeling dominant channels in the middle disposed on a heating device. The injection parts of the etched transparent dielectric sheets are connected with a steam generating device, an oil storage device and a particle suspension storage device, and the other ends of the two are commonly connected to a first displacement device. The other end of the steam generating device is connected to a second displacement device. The oil outlet parts of the etched transparent dielectric sheets are connected with a liquid production collection device and an image acquisition device is arranged above. The image acquisition device and the heating device are electrically connected to a data acquisition and analysis device. This system enables experimenters to observe the plugging and profile control process of steam and plugging agent particles and the oil production effect after steam channeling in heavy oil reservoirs at the pore scale, further explore the development potential after steam channeling in heavy oil reservoirs, and has higher simulation accuracy. The present application also discloses a method for simulating steam channeling plugging and profile control in heavy oil reservoirs based on microfluidics.

The invention relates to the technical field of oil production engineering, in particular to a fracturing and plugging method for a chemical flooding injection low-efficiency well of a middle-shallow sandstone thin and poor oil layer. The method comprises the steps that a target fractured well is determined, historical fracturing data and dynamic profile test data of the target fractured well are collected, and a fracturing plugging target layer is determined; according to historical fracturing data analysis and an ASP flooding core blockage rule experiment, the fracture radius of a target layer, the ASP flooding reservoir blockage radius, the reservoir physical property and fracturing scheme of the target layer, the lower limit of the quality-divided injection permeability of the target layer and the damage degree caused by fracturing residues of the target layer are obtained; the method comprises the following steps: sequentially acquiring the dosage of a blocking remover for chemical blocking removal of a target layer, slug combination parameters, fracture parameters of a fractured position, a post-fracturing quality-divided injection process and post-fracturing injection mode combination, performing fracturing blocking removal on the target layer according to the acquired data, and collecting fracturing blocking removal effect data in real time. According to the method, the operation efficiency is improved, and meanwhile the construction cost is reduced.

The invention discloses an oil extraction machine ground rotating machine fault diagnosis method based on a parallel diagnosis model, and the method constructs a double-branch fusion diagnosis model based on deformable convolution DCN and Transformer in order to solve the problems that fault features of an oil extraction machine rotating machine are difficult to extract under a strong noise condition and the anti-interference capability of a diagnosis model is insufficient. The model combines the local feature adaptive extraction capability of deformable convolution and the global time sequence modeling advantage of Transform, the diagnosis robustness in the noise environment is effectively improved through a multi-dimensional feature fusion mechanism, and the experimental result shows that the method has high average diagnosis accuracy under the condition of low signal-to-noise ratio. And the fault diagnosis precision of the rotating machine on the oil extraction machine well is obviously 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 relates to the technical field of oil exploitation equipment, in particular to an oil reservoir pressurizing device which comprises a plurality of setting devices arranged on the outer wall of a sleeve shell in the axial direction of the sleeve shell, the outer walls of the setting devices are attached to the well wall of a water injection well, the space between the sleeve shell and the well wall is divided into a first gap and a second gap, and the first gap corresponds to an oil reservoir low-permeability layer; the second gap corresponds to an oil reservoir high-permeability layer; the shunting mechanism comprises a first nozzle communicated with the first gap and a second nozzle communicated with the second gap; and the hydraulic flow conversion part communicates with the reversing valve, the first nozzle and the second nozzle, and the hydraulic flow conversion part has a first state of introducing gel into the second nozzle, a second state of introducing gel into the first nozzle and a third state of introducing high-pressure water into the first nozzle and the second nozzle. The problem that a high-permeability layer is not blocked thoroughly or a low-permeability layer is excessively polluted is effectively solved.

The invention relates to the technical field of oil exploitation equipment, and discloses an underground filling tool for oil exploitation, which comprises a sealing element for sealing a section to be filled, an activating element for activating the sealing element is arranged on the sealing element, and a removing element for removing residual materials on the well wall is arranged at the bottom end of the sealing element; through the gravity driving design of the counterweight ring of the activating piece, expansion activation of the sealing gasket can be achieved without an additional hydraulic or electric device, the underground structure is simplified, the fault probability in the high-temperature and high-pressure environment is reduced, the four sets of evenly-distributed top plates are matched with the downward moving groove, the guiding effect of the limiting block and the limiting groove is combined, and the sealing gasket is more stable. The balance weight ring is ensured to be balanced in stress when rotating and aligning, deflection and jamming are avoided, the synchronous plate and the lower pressing plate are symmetrically distributed to ensure that the sealing gasket is uniformly stressed, the synchronous plate and the lower pressing plate are synchronously expanded and attached to the well wall, the stability and efficiency of sealing activation are improved, and manual operation errors are reduced.

The invention discloses a special lubricating oil production temperature control system based on machine learning. According to the invention, through a dynamic multi-objective decision-making mechanism of the intelligent prediction and optimization module, thermodynamic characteristic changes caused by variables such as formula switching and environment disturbance in the lubricating oil production process can be self-adapted. According to the hybrid modeling method integrating data driving and a physical mechanism, not only is the temperature control precision of + / -0.1 DEG C in a key reaction stage guaranteed, but also the thermal compensation intensity can be intelligently adjusted in the heating and cooling process, and energy consumption and equipment thermal stress are effectively balanced. A built-in process knowledge migration framework of the system remarkably shortens the debugging period of new formula production, the production parameter adaptation efficiency of aerospace-grade special lubricating oil is improved by several times, meanwhile, microsecond-grade collaborative response of all the modules is achieved through a time-sensitive network, it is ensured that temperature fluctuation is restrained within a narrow interval of process requirements, and the production efficiency of the aerospace-grade special lubricating oil is improved. And a systematic guarantee is provided for the quality stability and the process reliability of special lubricating oil production.

The system comprises a plurality of oil pipes and a plurality of pipe penetrating packers, the oil pipes are arranged on the inner side of a casing pipe, every two adjacent oil pipes are connected through an intelligent control switch, and the size of an opening of each intelligent control switch can be adjusted so as to adjust the flow entering the inner side of the corresponding oil pipe from the outer side of the corresponding oil pipe; the pipe penetrating packers are used for dividing the space between the outer side of the oil pipe and the inner side of the sleeve into a plurality of independent cavities, and each intelligent control switch is located between the two corresponding pipe penetrating packers. The method is implemented based on the underground cable intelligent separate mining system. The device has the beneficial effects that the flow entering the inner side of the oil pipe from the outer side of the oil pipe of the corresponding oil layer is controlled through each intelligent control switch, so that the liquid inlet ratio of each oil production layer is optimized, the pressure of each oil layer is in a proper range, interlayer interference during mixed production is reduced, and the crude oil yield is improved.

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 utility model relates to the field of oil extraction equipment, in particular to a sucker rod centralizer which aims at solving the technical problem that an existing centralizer cannot adapt to oil pipes of different specifications. The sucker rod centralizer comprises a fixing ring, the movable ring and the fixed ring are coaxially arranged; the plurality of groups of righting mechanisms are distributed around the axis of the movable ring at intervals; the righting mechanism comprises two supporting rods and a sliding assembly, one ends of the two supporting rods are hinged to the sliding assembly, and the other ends of the two supporting rods are hinged to the side wall of the fixed ring and the side wall of the movable ring respectively. The driving mechanism is arranged on the fixed ring and is in transmission connection with the movable ring so as to drive the movable ring to move in the axial direction of the movable ring. According to the sucker rod centralizer, the movable ring can be separated from or get close to the fixed ring in the length direction of the sucker rod through the driving mechanism, so that the angle between the upper supporting rod and the lower supporting rod is adjusted, the position of the sliding assembly is adjusted, the sliding assembly can adapt to oil pipes with different inner diameters, and the adaptability is improved.

A gas injection valve in an oil production column which guarantees the gas lift operation, providing secure closure, with greater reliability in the safety conditions of the integrated sets of safety barriers, enabling sensors to be integrated for monitoring the status of the gas lift valve.

The invention relates to a variable-scale fracturing filling parameter design method considering longitudinal reservoir difference, which comprises the following steps of: (1) correcting a three-dimensional geologic model of a target reservoir based on numerical simulation parameters of a fracturing filling well to obtain a stratified geologic model of stratified physical property data reflecting the longitudinal physical property difference of the target reservoir; step (2), based on layered physical property data of the layered geologic model and historical stage cumulative oil production data, considering an inter-layered parameter interaction effect at the same time, and performing layered master control parameter screening; (3) training a deep learning model by taking the screened hierarchical master control parameters as input and the stage cumulative oil production as output to obtain a trained hierarchical stage cumulative oil production prediction model; and step (4), taking layered physical property data as constraints, taking the layered stage cumulative oil production prediction model and the construction cost model as objective functions, sampling a multi-objective genetic algorithm to carry out variable-scale self-kernel design on fracturing parameters of each layer, and outputting a final fracturing parameter combination of each layer.