2357 results about "Oil field" patented technology

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

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

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

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

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

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

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

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

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

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

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

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

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

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

The invention belongs to the technical field of oil field drilling, and particularly relates to a preparation method of modified sulfonated phenolic resin for drilling fluid, and the modified sulfonated phenolic resin is prepared by chemically bonding a functional monomer simultaneously containing sulfonic acid anions and quaternary ammonium cations in a phenolic resin structure in a free radical polymerization mode. The quaternary ammonium cation group adsorbs negatively-charged clay particles, the adamantyl group can be adsorbed in hydrophobic areas of the clay particles through association, and the sulfonated phenolic resin can be quickly adsorbed on the surface of the clay in a double adsorption mode of hydrogen bonds and electrostatic attraction. Besides, a large number of sulfonic acid anions can form a compact solvation layer after hydration, and a compact coating film can be formed when phenolic resin is quickly adsorbed on the surface of clay, so that the clay is prevented from being in contact with water, the stability of clay particles is realized, a compact mud cake can be formed, and the prepared phenolic resin has good filtrate loss reduction performance.

The utility model relates to the technical field of oil field underground oil extraction tools, and discloses a deep well fracturing packer rubber sleeve, which comprises an outer layer flexible sealing ring, an inner layer flexible sealing ring, an inner layer flexible sealing ring and an outer layer flexible sealing ring, and the outer layer flexible sealing ring is used for adapting to the surface of a well wall and realizing sealing; the middle composite buffer layer is used for buffering external pressure and absorbing stress generated by expansion; the inner-layer rigid supporting framework is used for providing structural support and limiting the expansion range of the rubber sleeve; the outer layer flexible sealing ring is of a gradient type flexible protruding structure. According to the utility model, the outer-layer flexible sealing ring adapts to an irregular well wall and realizes tight sealing through a gradient structure and micro lines, the middle composite buffer layer absorbs external pressure and disperses expansion stress, the anti-fatigue capability of the rubber sleeve is enhanced, and the inner-layer rigid supporting framework controls deformation through the supporting ribs and the compensation grooves; and the long-term stability of the rubber sleeve under high-pressure and high-temperature conditions is ensured.

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 relates to the technical field of oilfield exploitation, and discloses a polysaccharide-containing solid-free drilling fluid and a preparation method and application thereof.The drilling fluid is formed by mixing a plugging anti-collapse agent, a polysaccharide fluid loss agent, a tackifier and the like as raw materials, the functional monomer is prepared by carrying out emulsion cross-linking polymerization under the action of an initiator, the functional monomer structure contains a large number of quaternary ammonium cations and sulfonic acid groups and also contains a biphenyl structure, and the quaternary ammonium cations can generate a strong adsorption effect with shale and silt, so that the plugging effect and temperature resistance of the drilling fluid are improved; polysaccharide is adopted as the filtrate reducer of the drilling fluid, high-viscosity colloid can be formed after the polysaccharide is dissolved in water, stratum pores are effectively blocked, filtrate invasion is reduced, the filter loss is reduced, and the polysaccharide filtrate reducer can improve the viscosity of the drilling fluid, enhance the rock-carrying capacity of the drilling fluid and improve the cleaning effect of a well hole.

The invention relates to the technical field of oilfield water injection, and discloses a water injection skid process system with self-adaptive switching and redundancy functions and a control method. The water injection skid process system comprises a main process unit which is formed by connecting a main centrifugal pump and a main plunger pump in series; the self-adaptive switching unit comprises a standby pump set branch, a bypass branch and a control module; and the redundancy design unit is used for carrying out double-valve parallel redundancy configuration on the key valves and carrying out double-path redundancy setting on the key sensors. According to the invention, a three-layer structure with a main process, self-adaptive switching and redundancy design is systematically constructed, and a hardware foundation of a high-reliability water injection system is laid. The structure not only realizes a conventional water injection function, but also remarkably reduces the risk of single-point failure by introducing redundancy and a self-adaptive mechanism, so that the system can keep continuous operation when equipment fails or working conditions are abnormal, the stability and production efficiency of oilfield water injection operation are greatly improved, and the economic benefit is increased. The problems of poor single-point fault resistance and lack of working condition self-adaption are solved.

The invention discloses an engineering surveying and positioning method and system based on Beidou. The method comprises the following steps: S1, establishing an oil field operation environment three-dimensional model, and performing satellite visibility and multipath prediction; according to the invention, by constructing a multi-path geometric model and a dual-antenna array discrimination and weighted suppression algorithm, reflection interference caused by a metal facility dense environment in a well site and a station site is effectively weakened; by fusing a local DEM terrain model and earth surface reflection characteristics and introducing vertical Kalman filtering, the stability and precision of Beidou elevation calculation are significantly improved; under the scene of insufficient visibility such as shielding of a drilling machine and large equipment, continuous and high-reliability positioning capability is kept through a tight coupling fusion strategy of IMU and vision assistance, so that high-robustness and high-precision Beidou engineering measurement positioning can be realized in a complex environment of an oil field.

The constructing of a natural fracture model of a secondary reservoir in a field by using the information from a primary reservoir within a stacked 3D geological model. A fracture model may be constructed for a primary reservoir that incorporates a specific paleo-stress regime and information from a stacked 3D geological model, a deformation model, and a geomechanical model. Parameters such as a deformation model, brittleness index, and stress model may be extracted from the fracture model for a primary reservoir. A fracture model for the secondary reservoir is then constructed from the extracted parameters, and the fracture model is used to identify locations in the secondary reservoir for drilling and other operations.

The invention discloses a peracetylated polysaccharide derivative mixing accelerator as well as a preparation method and application thereof, and relates to the technical field of polysaccharide derivatives. Alkyl polyglucoside and glycidyl ether are subjected to etherification reaction to obtain polysaccharide derivatives; and adding acetic anhydride and an organic weak base catalyst into the polysaccharide derivative, and carrying out esterification reaction to obtain the peracetylated polysaccharide derivative. The obtained peracetylated polysaccharide derivative can be used for reducing the minimum miscible pressure of CO2 in an offshore oilfield. The polysaccharide derivative provided by the invention is simple in synthesis process, and the molecular activity of the polysaccharide derivative can be regulated and controlled by changing the number of carbon dioxide-philic groups and the length of oleophylic unsaturated hydrocarbon chains, so that the polysaccharide derivative can be used in the CO2 oil displacement process of oilfield exploitation, and the minimum miscible pressure in the CO2 oil displacement process is effectively reduced.

The invention belongs to the field of oil field ground process analysis and evaluation, particularly relates to an onshore oil field green low-carbon level index evaluation method and system and electronic equipment, and aims to solve the problem that an existing evaluation system is incomplete and inaccurate in consideration. The method comprises the following steps: based on production operation of an oil field ground process system, selecting a green and low-carbon level main body evaluation index; based on the subject evaluation indexes, dividing evaluation indexes to which the subject evaluation indexes belong; the subject evaluation index and the affiliated evaluation index are both endowed with weights; calculating a standardized score of each subject evaluation index; calculating a standardized score of each affiliated evaluation index; calculating a comprehensive score of the green low-carbon level of the to-be-evaluated oil field based on the standardized scores of the subject evaluation indexes and the affiliated evaluation indexes and the weights of the subject evaluation indexes and the affiliated evaluation indexes; and performing overall evaluation based on the comprehensive score. The method guides the improvement of the production construction level, promotes the refinement of production management, and provides a quantifiable scientific evaluation method.

A system for enhancing oilfield performance analysis and optimization, comprising a data collection module configured to collect real-time Gas-Oil Ratio (GOR) and Water Cut (WC) data from oilfield sensors a physics-based modeling module configured to simulate a vertical pressure profile based on the collected GOR and WC data, and a machine learning module configured to analyze outputs from the physics-based modeling module and historical data, classify wells based on the analysis, establish baseline metrics for evaluating reservoir productivity based on the analysis and classification, generate a recommendation for well operations based on the analysis, classification and baseline metrics, and a user interface configured to display the recommendation.

The invention relates to the technical field of intelligent control, in particular to an oil field production preparation station and injection station double-PID intelligent cooperative adjustment method, which comprises the following steps: acquiring initial proportionality coefficients, initial integration time and dead zone parameters of preparation station PID control and injection station PID control; based on all the obtained initial parameters, performing double-PID linkage adjustment on the injection station and the preparation station; analyzing the correlation degree between the liquid level height data of the storage tank of the injection station and the output pressure data of the preparation station, and determining the double-station control imbalance degree; all the double-station control imbalance degrees obtained at each collection moment are filtered, the overall change condition of the double-station control imbalance degrees before and after filtering and the influence degree on proportionality coefficient adjustment are analyzed, a feed-forward compensation factor is determined, and the proportionality coefficient of injection station PID control is adjusted. The invention aims to realize intelligent control of the flow regulator of the injection station and accurate regulation of the frequency of the efflux pump of the preparation station.

The invention discloses a method for regulating and controlling formation pressure in an offshore oilfield reinjection process based on environmental protection synergy, which relates to the technical field of oilfield production water reinjection, and comprises the following steps: collecting the reinjection displacement, reinjection pressure and operation time of a throttle valve, a Christmas tree channel and a reinjection fluid under the working condition of conveying to a formation along a water injection string; unified checking and working condition correlation analysis are carried out, and a reinjection basic operation parameter set is generated; and performing throttling valve and Christmas tree internal flow characteristic analysis on the reinjection basic operation parameter set to obtain equivalent throttling characteristic parameters, and correcting wellhead injection pressure according to the equivalent throttling characteristic parameters to obtain effective injection pressure. According to the method, a unified and continuous pressure correction basis is provided for determining the safety constraint boundary and screening the optimal combination of the reinjection pressure and the reinjection displacement, so that reinjection regulation and control are unified among efficiency, safety and stability.

The invention provides a self-adaptive control method and system for equipment operation parameters, and relates to the technical field of self-adaptive control of oil field operation parameters, and the method comprises the steps: obtaining multi-source data such as structure displacement, process state parameters, component analysis data and fluid performance parameters to evaluate a current process stable state, and outputting a state quantized value; then, in combination with the component analysis data, the state quantized value and the current value of the fluid performance parameter, a pre-trained decision model is used for analysis and decision making, and an expected target value which the fluid performance parameter should reach is generated; and finally, the expected value serves as a leading target, feedback of process state parameters is sensed in real time, operation parameters of key process execution mechanisms such as a drilling machine and a slurry pump are dynamically adjusted through a self-adaptive control algorithm, conversion from passive response to active optimization in the drilling process can be achieved, and the well wall stability and the drilling efficiency are effectively improved.

The application provides an oilfield produced water treatment method. The method comprises the following steps: adding a polymeric aluminum ferric silicate solution into oilfield produced water to be treated, and stirring for a period of time at a first rotating speed; increasing the first rotating speed to a second rotating speed, adding a polyacrylamide solution, stirring for a period of time at the second rotating speed after the addition is completed, and then standing for a period of time; and filtering to obtain treated oilfield produced water. The method has the advantages of simplicity, high efficiency, low cost, easy operation, remarkable treatment effect and the like.