1763 results about "Oil well" patented technology

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.

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 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 utility model relates to the technical field of oil logging, in particular to an oil logging site non-hydrocarbon detector which comprises a box body and a detector body arranged in the box body, an air inlet is formed in the bottom of the box body, an air outlet is formed in the upper portion of the box body, and the non-hydrocarbon detector further comprises an adsorption mechanism; an adsorption mechanism main body is arranged in the box body, the adsorption mechanism is movably connected with the box body, air entering the air inlet hole is in contact with the detector body after passing through the adsorption mechanism, and the adsorption mechanism is used for filtering and drying gas in the box body. By integrating the efficient adsorption mechanism, gas before entering the detector body is comprehensively filtered and dried, impurities and moisture in air are effectively removed, and high-quality sample gas is provided for subsequent non-hydrocarbon component detection.

The invention discloses an intelligent monitoring system for an oil well production process, and relates to the technical field of oil well production monitoring, and the system comprises a data collection module which is used for collecting multi-type sensor data in the oil well production process; the data processing module is used for receiving the multi-type sensor data acquired by the data acquisition module, performing data cleaning, time sequence alignment and standardization processing on the multi-type sensor data, and constructing a multi-dimensional feature set representing the operation state of the oil well from the processed data, the multi-dimensional feature set represents a complex correlation relationship among the multi-type sensor data. Multi-type sensor data are acquired through the data acquisition module, cleaning, time sequence alignment and standardization processing are performed through the data processing module, and a multi-dimensional feature set is constructed, so that complex association among the multi-type data is effectively captured, and the problem that an existing system is insufficient in analysis of mutual influence of the multi-data is solved.

The invention relates to economical corrosion-resistant 5Cr80 rare earth oil well pipe steel and a preparation method thereof, belongs to the technical field of corrosion-resistant oil well pipe steel for petroleum engineering, and aims to solve the problems that the cost is high due to addition of precious metals such as Mo and Ni in existing medium Cr steel, pitting corrosion is induced by inclusion of MnS, and a rare earth treatment process is unstable. The oil well pipe steel is prepared from the following chemical components in percentage by mass: 0.05 percent to 0.08 percent of C, 0.3 percent to 0.50 percent of Si, 0.80 percent to 1.5 percent of Mn, less than or equal to 0.01 percent of P, less than or equal to 0.0020 percent of S, less than or equal to 0.0020 percent of O, 0.0050 percent to 0.0350 percent of Ce, 4.5 percent to 5.5 percent of Cr, less than or equal to 0.035 percent of Al, 0.020 percent to 0.030 percent of V and the balance of Fe and inevitable impurities. The yield strength of the oil well pipe steel is larger than or equal to 580 MPa. The economical corrosion-resistant 5Cr80 rare earth oil well pipe steel which is low in cost and free of a Mo-Ni component system is used for replacing a traditional high-alloy pipe in a harsh oil and gas well environment containing high Cl <-> and CO2, and the economical corrosion-resistant 5Cr80 rare earth oil well pipe steel is suitable for batch production of corrosion-resistant oil well pipes of deep wells, ultra-deep wells and sulfur-containing and CO2-containing complex working conditions.

The present application relates to the gas lift type mechanical device for liquid pumping and discharging, which is especially suitable for oil exploitation, natural gas well liquid discharging and gas pumping, and underground water exploitation in industrial and agricultural production and life. The chamber gas liquid pumping and discharging device is composed of a unique U-shaped valve (10), a gas mixing valve (14) and a chamber (12), and a plurality of open chamber sections are formed on the production pipe, so that the upward fluid is divided into a plurality of gas pushing liquid and liquid pushing gas sections, thereby reducing the flow pressure and facilitating the production. The gas mixing valve (14) has the function of automatically adjusting the density of the fluid, so that the gas injection amount and the liquid pumping amount are always optimal, the gas consumption is only 15-20% of the conventional gas lift method, and the device meets the needs of low energy oil well production or natural gas well liquid discharging and gas pumping. The yield of the production well can be controlled by adjusting the gas injection time or the gas injection amount of the ground equipment. The device has the advantages of simple structure, reliable work, long service life, low energy consumption and wide application range.

The application discloses an intelligent identification method for dominant seepage channels based on big data, which comprises the following steps: collecting static geological data, dynamic development data and dynamic monitoring data of an oil reservoir and performing data processing; performing data quality analysis on the processed data and establishing a sample database; performing inter-well connectivity analysis and inter-well pressure response analysis in a plane according to the sample database, and identifying dominant channels in the plane; performing interlayer production and absorption law research in a vertical direction according to the sample database, predicting interlayer liquid production and absorption ratios and water cut, and identifying dominant interlayer positions in the vertical direction; and comprehensively identifying dominant seepage channels between each layer of a production well and an injection well based on the identified dominant channels in the plane and the dominant interlayer positions in the vertical direction.

The invention discloses an oil well working fluid level measuring method, system and device based on infrasonic waves. The method comprises the following steps: acquiring an acquired mixed infrasonic wave pulse signal, and separating a tubing coupling reflection wave curve and an oil well liquid level reflection wave curve from the mixed infrasonic wave pulse signal; a gradient descent algorithm is adopted to find a multi-section waveform minimum value point on the tubing coupling reflection wave curve, and the propagation speed of the infrasonic wave pulse in the oil sleeve annulus is determined according to the sampling point time corresponding to the minimum value point and the length of the tubing coupling; based on the selected depth base point, reversely searching a first minimum value point on the oil well liquid level reflection wave curve by adopting a gradient descent algorithm, and determining the reflection time of the infrasonic wave pulse according to the sampling point time corresponding to the searched minimum value point; and the depth of the working fluid level of the oil well is determined according to the propagation speed of the infrasonic wave pulse in the oil sleeve annulus and the reflection time of the infrasonic wave pulse. The measuring efficiency, the measuring precision and the real-time performance of the working fluid level of the oil well can be improved.

The invention discloses an oil well intelligent monitoring and remote control system, which belongs to the technical field of oil well monitoring and control, and is characterized by comprising the following steps: acquiring oil well production data, and obtaining a real-time indicator diagram and indicator diagram characteristics according to a preset electrical parameter inverse demonstration indicator diagram model; sending a preset security perturbation instruction sequence and obtaining response data corresponding to the security perturbation instruction sequence; obtaining core mechanism parameters of the oil pumping unit system based on the response data and a preset safety perturbation instruction sequence; obtaining a digital shadow model according to the core mechanism parameters and the indicator diagram characteristics; according to the method, core mechanism parameters are identified through anti-demonstration indicator diagram characteristics of an electric parameter anti-demonstration indicator diagram model and a safety perturbation instruction, and closed-loop intelligent control from oil well state monitoring to liquid production flow regulation and control is formed through the digital shadow model. And the accuracy of oil well flow control, the safety of system operation and the energy efficiency management level are improved.

The invention provides an oil well load indicator diagram prediction method and system, and the method comprises the steps: synchronously collecting an initial electrical parameter data set, a load data set, an accelerometer data set and a barometer data set of an oil well, the initial electrical parameter data set comprising an active power data unit, and then obtaining an active power data segment and a load data segment; obtaining a time lag based on the two, and further obtaining a final electrical parameter data segment; acquiring a reference displacement sequence through the accelerometer data set and the barometer data set; obtaining a dynamic stroke length based on the reference displacement sequence and the load data segment, and further obtaining a final displacement sequence; and constructing a prediction neural network, and obtaining an oil well load indicator diagram based on the prediction neural network and the real-time electrical parameter data segment. According to the technical scheme, the indicator diagram is obtained through continuous and high-frequency real-time electric parameter data segments, motion period information loss caused by low-frequency data collection is avoided, accumulative errors are avoided, and the accuracy of the indicator diagram is ensured.

The invention relates to the technical field of oil-gas field oil well fault diagnosis, in particular to an oil-gas field oil well intelligent fault diagnosis method and device based on a swan-gap system. According to the method, the multi-mode equipment is connected through the swan-Mongolia distributed soft bus to collect data, and the edge computing nodes are deployed to perform local diagnosis, so that the dependence on the network is reduced, and the real-time performance of fault diagnosis is improved; a generalized Choquet integral synthesis model is used for fusing load displacement, acoustic emission and motor electrical parameter sub-risk values, the fault risk is comprehensively evaluated, the diagnosis accuracy is improved, and the missed diagnosis and misdiagnosis probability is reduced; self-inspection data such as hardware state and signal quality are collected through the sensor self-inspection layer, a fusion instruction is generated through the data credibility analysis layer to adjust data weight, a fault sensor is isolated, and data reliability is guaranteed; based on hardware and communication parameter analysis of network transmission data, a network adaptation execution instruction is dynamically generated, stable data transmission is ensured, and the anti-interference capability of the system is improved.

The invention relates to a physical knowledge-guided model interpretability analysis method and diagnosis system, and belongs to the technical field of oil well fault diagnosis, and the method comprises the steps: collecting sensor data in an indicator, carrying out the standardization processing of the data, and obtaining a preprocessed grayscale image, and taking the preprocessed grayscale image as an oil well fault diagnosis offline data set; constructing an oil well working condition intelligent diagnosis model guided by physical knowledge based on improved EffcientNet, and taking a well fault diagnosis offline data set as model input; optimizing parameters of the oil well working condition intelligent diagnosis model by adopting a multi-task cooperative training mechanism based on uncertainty weighting to obtain an optimized oil well working condition intelligent diagnosis model; performing performance quantitative evaluation on the optimized oil well working condition intelligent diagnosis model by adopting a multi-dimensional index; oil well working conditions are monitored and diagnosed in real time, a result is output, and abnormity is responded. According to the invention, accurate and explainable intelligent diagnosis of the real-time working condition of the oil well is realized.

Disclosed are methods, systems, and computer-readable medium to perform operations including: obtaining production data about the well; generating a simulated average reservoir pressure at the subsurface region that includes the well; computing a difference between an average reservoir pressure obtained from the production data and the simulated average reservoir pressure; determining, based on the computed difference, a performance deviation with reference to a particular area of the subsurface region that includes the well; comparing the performance deviation to a predetermined threshold value that represents an acceptable tolerance for variance in performance of the well; and triggering, when the performance deviation exceeds the predetermined threshold value, a particular type of automated response comprising an action that addresses the variance in performance of the well.

The invention belongs to the technical field of hydrogen sulfide stress corrosion resistance detection of oil well pipes, and particularly relates to a method for testing the influence of anodic dissolution in saturated hydrogen sulfide on stress corrosion fracture of an oil well pipe, which comprises the following steps: respectively carrying out slow strain rate tensile tests in a saturated hydrogen sulfide environment and a nitrogen environment to obtain a stress-strain curve of an oil well pipe sample; measuring a hydrogen permeation curve of the oil well pipe sample in the saturated hydrogen sulfide environment; carrying out fast and slow sweep potential polarization curve test and hydrogen permeation curve test on the oil well pipe, and carrying out hydrogen charging-slow stretching test on the oil well pipe under the cathode hydrogen charging potential corresponding to the steady-state hydrogen permeation current density; and according to the damage degree of the saturated hydrogen sulfide environment to the mechanical properties of the oil well pipe, the minimum influence degree of hydrogen in the saturated hydrogen sulfide environment to the stress corrosion fracture of the oil well pipe is determined by combining the damage degree of hydrogen separated out from the cathode reaction to the mechanical properties of the oil well pipe. The device has the advantages of simplicity in operation and accurate measurement result.

The invention relates to a method for improving the huff-puff effect of carbon dioxide, which comprises the following steps of: when liquid carbon dioxide is injected, monitoring horizon data by using an oil well profile logging instrument, judging whether the liquid carbon dioxide is a target horizon or not by sucking the horizon data, and smoothly injecting the liquid carbon dioxide into the target horizon by adopting a process adjustment or layered injection method, so as to improve the huff-puff effect of the liquid carbon dioxide. The carbon dioxide utilization rate, the measure effect and the effective rate are improved, and the remaining oil potential tapping effect and the oil well recovery rate are improved; when the oil increasing amount of well opening oil production does not reach the standard, whether the output layer is the target layer or not continues to be monitored, if the output layer is not the target layer, the measure target layer can be replaced in time, the layered pipe column structure can be adjusted when liquid carbon dioxide is injected, the purpose that the output layer is the target layer is achieved, and the measure effective rate and effect are improved.

The invention discloses a method and a system for evaluating yield-increasing and injection-increasing aerodynamic force composite plug removal capability of medium-low permeability reservoirs, and relates to the technical field of oil-gas field development. The method comprises the following steps: determining to-be-measured well types, including oil wells or water wells; based on the type of the well to be measured, whether measures are taken or not is judged according to well selection conditions; if measures are taken, well deviation data are collected, and the maximum well deviation position and the maximum well deviation size are found; determining a transmission type according to the well deviation; aerodynamic force operation is carried out according to the transmission type; acidizing operation is carried out after the aerodynamic force operation; and evaluating the effect of the oil well or the water well after the measures are taken. The method solves the problem that large-scale transformation of the fractured thin and poor layer of the medium-low permeability reservoir is difficult to realize, so that reserves are difficult to effectively use; the problems that traditional fracturing transformation measures are long in construction period, high in measure cost and poor in economic benefit are solved. The problem that there is no effective treatment means for a thin layer or a thin interlayer is solved; and the problem of difficulty in measure effect evaluation after traditional process measures is solved.

The invention relates to the field of fracturing fluids, in particular to a modified polyacrylamide polymer fracturing fluid and a preparation method thereof, which are used for solving the problems that the existing polyacrylamide polymer fracturing fluid is poor in temperature resistance and salt resistance and is difficult to adapt to fracturing operation requirements in high-temperature and high-salt environments. According to the fracturing fluid, the modified polyacrylamide dry powder thickening agent is adopted as a core component, so that the performance of the fracturing fluid in a high-temperature and high-salinity environment is improved, the thermal stability of the fracturing fluid at a high temperature and the chemical stability of the fracturing fluid at a high salt concentration are remarkably enhanced, and relatively high viscosity and shear stability can be kept in the high-temperature and high-salinity environment; therefore, effective sand carrying, collapse prevention and crack expansion in fracturing operation are guaranteed, the oil well fracturing effect and efficiency are remarkably improved, effective development of oil and gas resources is achieved, and the method can be widely applied to oil and gas exploitation of deep and complex geological structures, the exploitation efficiency is improved, and economic benefits are obtained.

The utility model discloses a transfer type multi-arm caliper logging instrument which comprises a shell, vertical holes are formed in the outer wall of the shell at equal intervals, a vertical pipe is fixedly connected to the interior of the shell, electric push rods are installed on the outer side of the vertical pipe at equal intervals, sliding rails are fixedly connected to the outer wall of the vertical pipe at equal intervals, and the sliding rails correspond to the vertical holes. A moving seat is slidably connected to the outer wall of the sliding rail, the output end of the electric push rod is in clearance fit with the moving seat, a compression spring is arranged in the moving seat, and the two ends of the compression spring abut against the electric push rod and the moving seat respectively. The utility model relates to the technical field of oil well logging, and solves the problems that in the prior art, measuring arms of a multi-arm hole diameter logging instrument need to be unfolded or folded simultaneously, the complexity and failure rate of a mechanical structure are increased due to synchronous operation, the stability is poor, the maintenance cost is correspondingly increased, the measuring arms are prone to abrasion due to long-time friction with a well wall, and the measurement precision is high. And the measurement precision and the service life of the equipment are influenced.

The invention discloses an oil and gas shaft multiphase flow simulator MphaseSim modeling method and a PINN solving method, and relates to the technical field of oil and gas field exploitation, and the method comprises the following steps: pre-calibrating a modeling strategy, including calibrating gas-liquid two-phase flow, and calculating the average flow velocity according to the section occupied by the gas-liquid two-phase flow; mass transfer can occur between the calibrated gas and liquid phases, but the gas and liquid phases are always in a thermodynamic equilibrium state; in calibration steady-state analysis, the mass flow of any section of the shaft is equal, and the liquid holdup is calculated through a drift-assisted equation. According to the method, on the basis of a mass-momentum-energy coupling mathematical model, the SRK state equation and the drift flow model are combined, the phase change characteristics, momentum transfer and energy conversion rules of the gas phase and the liquid phase can be accurately represented, the model sealing performance is good, and the physical significance is clear; and the device can be stably applied to different types of oil and gas well scenes such as gas wells, deep oil wells and electric submersible pump wells, has no obvious numerical value divergence problem in long shaft flow simulation, and can effectively reflect the real production state of the shaft.

The invention relates to the field of deep learning, in particular to an oil well ground fault real-time intelligent identification system based on multi-scene video analysis. The method comprises the following specific implementation steps of: firstly, converting a plurality of paths of asynchronous videos into image feature streams through structured annotation; then, a domain adaptive learning mechanism in a feature scene invariant module and an image feature reconstruction network based on deep learning are utilized to eliminate environmental interferences such as illumination and a visual angle, and features are mapped to a scene-independent space to guarantee robustness; thirdly, the multi-state fault decoupling module decomposes a fault recognition task into state evaluation branches, scene invariant features are input into a multi-dimensional decoupling mode judgment model, real-time collaborative judgment is carried out according to the state evaluation branches, and a diagnosis result of recognition robustness is output; and finally, the image verification module monitors the recognition robustness and actively intervenes the image acquisition device to acquire new data when the recognition robustness is low, so that the feature reconstruction network is corrected, and continuous self-optimization of the system from perception to diagnosis is realized.

The invention relates to the technical field of classification or anomaly detection, and provides an industrial oil well equipment fault diagnosis method, system, equipment and medium. The industrial oil well equipment fault diagnosis method comprises the following steps: acquiring industrial oil well equipment data for feature extraction, and automatically selecting and adjusting the weight of the feature in combination with the operation state information of the industrial oil well equipment; performing intelligent sampling processing according to the types of the features; based on the features after intelligent sampling processing, fault classification is carried out by adopting multiple classification models, and multiple fault classification results are obtained; fusing a plurality of fault classification results, and dynamically adjusting the weight of each classification result to obtain a fault result; the method provides reasonable and accurate prediction and decision support for fault diagnosis of the rod-pumped well.

The invention discloses a quantitative calculation method for analyzing injection-production dynamic response by using time sequence interference. The quantitative calculation method comprises the following steps: S1, acquiring time sequence data of output and water injection rate; s2, taking the change of the water injection rate as an intervention event, and establishing a virtual interference variable; s3, taking the oil well output as a target variable and substituting the target variable and the virtual interference variable in the S2 into an SARMAX time sequence model for fitting; s4, judging the significance degree of the model by using the residual error of the model, and if the residual error is a random time sequence, ending; if the residual sequence of the model is non-white noise, going to S5; s5, determining autoregression and moving average orders by using an ARMA (p, q) model; s6, substituting order information into the model in the S3 for re-fitting; and S7, repeating the steps S3-S6 until the model is significant. The method can quantitatively evaluate the influence degree of the injection well on the output. Quantifiable data are provided for evaluation of production and injection dynamic influences in oil reservoir dynamic management, reasonable injection and production adjustment countermeasures are formulated accordingly, oil reservoir production dynamic management is guided, and the oilfield exploitation effect is guaranteed.

The invention provides a fracture form prediction method, and the method comprises the steps: constructing a database based on geological parameters, engineering parameters and fracture form parameters corresponding to at least one oil well in a first preset time period; wherein any oil well comprises at least one fracture formed based on a volume fracturing technique. And acquiring logging curve parameters corresponding to at least one oil well. And based on the logging curve parameter corresponding to any oil well, carrying out expansion operation on the geological parameter corresponding to any oil well in the first preset time period so as to update the database. And training a preset model based on the updated database to obtain a target model. And acquiring geological parameters and engineering parameters corresponding to the to-be-predicted oil well in the second preset time period. And inputting the geological parameters and the engineering parameters corresponding to the to-be-predicted oil well in the second preset time period into the target model, and determining the output of the target model as the fracture form parameters corresponding to the to-be-predicted oil well in the second preset time period, so as to improve the accuracy of predicting the fracture form of the to-be-predicted oil well.

This disclosure belongs to the oil and gas exploitation industry, and specifically relates to a combination parameter optimization design method for fracturing and packing dual-particle-size proppants for an unconsolidated sandstone reservoir. According to this disclosure, specific parameters of proppants including a packing particle size, a packing fracture length ratio, and a packing sequence are subjected to optimization design based on reservoir and oil well conditions, as well as corresponding dual-particle-size combination modes. Ultimately, comprehensive effects of realizing effective sand blocking, reducing invasion, blockage, and permeability damage of formation sand to a fracture packing layer, reducing fracture flow resistance, improving comprehensive conductivity, and releasing a production capacity of oil and gas wells are achieved.

The invention discloses a downhole reservoir oil-gas phase state fluid property identification method, device and equipment and a medium, and relates to the field of oil well exploration, the method comprises the following steps: collecting related data of cable formation test during pumping operation, and forming a data set; constructing a cable formation test three-dimensional seepage numerical simulation model, and discretizing and solving a mass conservation equation in the model to obtain a pressure distribution field and a water saturation distribution field; establishing a probe suction port fluid hydrocarbon content calculation model according to the pressure distribution field, the water saturation distribution field and probe node fluid spherical flow characteristics; utilizing the data set and a probe suction port fluid hydrocarbon content calculation model to simulate and calculate a hydrocarbon content curve of oil and gas classification of the same type of stratums, and constructing a clustering chart; and comparing the hydrocarbon phase breakthrough time of the actual formation test operation of the same type of to-be-processed formations with the clustering chart, and identifying the fluid properties of the to-be-processed formations. According to the invention, the fluid property of the stratum to be processed can be identified conveniently and accurately.

The invention discloses a full-circumference self-adaptive anchoring oil well drilling liner hanger, and belongs to the technical field of drilling liner hangers, the full-circumference self-adaptive anchoring oil well drilling liner hanger comprises an outer cylinder, a sleeve is arranged at the bottom of the outer cylinder, a connecting cylinder is arranged at the top of the outer cylinder, a plurality of through grooves are formed in the connecting cylinder, and mounting blocks are slidably arranged in the through grooves; a slip is mounted on the mounting block, and a convex block is mounted outside the slip; one-way linear motion of the connecting frame is converted into synchronous radial expansion motion of the multiple sets of slips through the driving assembly, the slips slide in the through grooves through the mounting blocks, the radial displacement of the slips is determined by the motion stroke of the driving assembly, and the device can effectively adapt to tail pipes with different diameters within a certain range; the universality and field applicability of the tool are improved, a first electric telescopic machine drives a locking pin to be inserted into a locking hole in a vertical plate, the positions of a first moving block and a second moving block can be mechanically locked, and then the whole driving assembly and the slip are fixed.

The invention provides a pumping unit and a fluid balancing method, and belongs to the field of petroleum extraction machinery. The pumping unit comprises a base, a supporting seat is fixedly installed on the base, and a motor, a speed reducer and a support are installed on the supporting seat. The walking beam is connected with the bracket through a bearing seat; an output shaft of the speed reducer is connected with the walking beam through a crank and a connecting rod of the four-rod mechanism; the two ends of the walking beam are connected with a first horse head and a second horse head respectively, the first horse head and the second horse head are communicated through a connecting pipe arranged between the first horse head and the second horse head, an electric valve is arranged on the connecting pipe, and an electric cabinet is further arranged on the supporting seat and electrically connected with the electric valve. The oil pumping unit is used for two oil wells close to each other, the function that one oil pumping unit pumps two oil wells is achieved, the equipment investment of one oil pumping unit can be saved, the running loss of one oil pumping unit is reduced, and fluid balance is used for balancing the load difference of the two oil wells; after the balance box is arranged on the second horse head, the second horse head can be only used for pumping oil of one oil well, and fluid balance is used for weight difference between the oil well and the balance box.

The invention relates to the field of abandoned oil well transformation application, in particular to a device and method for conducting solar phase change energy storage through an abandoned oil well. According to the technical scheme, a water inlet of a heat storage water tank is connected to a water outlet of a first water pump through a pipeline and a first three-way valve, and a first water pump pipeline is connected with a high-temperature water outlet of a solar heat collection system; a water return port of the solar heat collection system is connected to a user water return pipeline at the heat storage water tank through a second three-way valve; the waste oil well adopted by the invention not only utilizes the geothermal energy of the waste oil well, but also serves as an energy storage container of solar energy, and the heat exchange device adopts a layered variable-pitch spiral tube heat exchanger to adapt to the change of ground temperature and water temperature at different depths; the phase change materials filled in the waste oil well are distributed in a multi-melting-point gradient mode according to changes of ground temperature and water temperature, the problem of large-scale long-time efficient energy storage of solar energy can be solved, the effect of supplementing stratum heat is achieved, and the heat exchange efficiency of the waste oil well serving as an energy storage well can be improved.