10574results about "Fluid removal" patented technology

The invention discloses a pressure-controlled drainage gas production method and system for a coal-bed gas well. The pressure-controlled drainage gas production method comprises the steps that drainage is conducted through the first daily drainage amount, wherein the first daily drainage amount meets the eliminating demand for production interference objects in a coal bed; and a pressure-supplementing medium is injected while drainage is conducted, and the downhole flow pressure daily drop amount is maintained as a first differential pressure value so as to avoid retracting and closing of pores and cracks in the coal bed. According to the pressure-controlled drainage gas production method for the coal-bed gas well, the drainage speed at the drainage state can be conveniently determined, the eliminating demands for drilling and completion fluids, pulverized coal and slack coal in the coal bed can be met, and meanwhile, retracting and closing of the pores and the cracks in the coal bed can also be avoided; and compared with the prior art, the pressure-controlled drainage gas production method is simple in process, the production efficiency of the coal-bed gas well can be greatly improved, and quite high practical value and popularization value are achieved.

The invention relates to the technical field of data acquisition and data analysis, in particular to a hydraulic fracturing test crack propagation monitoring system which comprises a monitoring system and is used for monitoring crack propagation behaviors in the hydraulic fracturing process in real time. Constant or dynamically changing confining pressure and axial pressure are provided; the pore pressure dynamic regulation and control unit is used for accurately controlling the injection pressure, flow and saturation of fracturing fluid and simulating fracture propagation behaviors under different seepage conditions; the multi-physics field sensing monitoring network unit is used for collecting strain, sound wave signals and a surface displacement field in the crack expansion process in real time; full-scale monitoring of rock fracture propagation is realized, an influence mechanism of pore pressure and time effect on fracture evolution is disclosed, an accurate prediction means is provided for shale gas development and deep engineering, and the fracturing effect and engineering safety are remarkably improved.

The invention belongs to the technical field of oil and gas reservoir energy development, and discloses a three-dimensional injection and production well pattern construction method based on a multi-objective algorithm. The problem that the delimited potential area is difficult to effectively use due to the fact that existing potential evaluation is only based on a single index is effectively solved. Comprising the steps that a fault inner core, a fault outer core, a fracture development dense zone and a secondary fracture zone are proposed; carrying out inter-well connectivity analysis on the oil reservoir units by utilizing an oil reservoir engineering method and a numerical simulation streamline method; based on the embedded discrete fracture model, analyzing a remaining oil distribution mode under the control of the nuclear band structure; a multi-parameter comprehensive evaluation system is constructed by combining the remaining oil utilization potential, the displacement power, the flow capacity, the connectivity relation and the reserve abundance; a three-dimensional injection-production well pattern construction technology is formed for an oil reservoir with or without bottom water; based on a multi-objective optimization algorithm, three-dimensional collaborative optimization of the recovery ratio, the well control reserves and the net present value is taken as a core, and a high-efficiency well location deployment technology for different fault zones is constructed.

The invention discloses a shale oil reservoir geology-engineering double-dessert compressibility comprehensive evaluation method, and relates to the technical field of petroleum and natural gas yield increase transformation and geotechnical engineering, in particular to a shale oil reservoir geology-engineering double-dessert compressibility comprehensive evaluation method, which comprises the following steps of performing normalization processing on a logging basic parameter standard deviation; geological dessert parameters are established by calculating the weight of each factor; influence factors influencing the longitudinal expansion capacity of the hydraulic fracture of the target reservoir are obtained; constructing a geological-engineering double-dessert compressibility comprehensive evaluation model of three types of lithofacies'reservoir performance-transformation potential 'synergistic mechanisms; and establishing a geological-engineering double-dessert compressibility kernel density estimation map, and dividing the reservoir compressibility on the premise of adaptive bandwidth. According to the method, the operability and prediction precision of an evaluation result are remarkably improved, and an innovative decision support tool is provided for horizon optimization and scheme design of shale oil reservoir fracturing transformation.

The invention discloses a carbon dioxide mineralization storage dynamic intelligent regulation and control and permeation enhancement optimization method and system. The optimization method comprises the following steps: collecting field monitoring injection parameters and related data of reaction products in a mineralization storage process in real time; according to injection parameters monitored on site and related data of reaction products, two optimization objective functions of mineralization rate and free CO2 volume are formed; constructing a mineralization sequestration multi-objective optimization model, and screening out an optimal injection parameter set value from the Pareto solution set to obtain an optimal condition parameter; optimal injection parameters in the Pareto optimal solution set are input into the constructed field enhancement regulation and control module, and control variables are adjusted in real time according to real-time changes of reservoir response, mineralization reaction process and injection working conditions; and fracturing transformation is conducted on the target storage rock mass, the seepage enhancement effect of the target storage rock mass is quantitatively evaluated, an injection scheme is dynamically updated based on the transformed reservoir parameters, and the mineralization regulation and control system is enhanced.

A preparation method of a self-suspending proppant for hydraulic fracturing is characterized in that solid ceramsite is changed into a porous reinforced structure, a self-repairing function is introduced, bio-based macromolecules are adopted to replace a traditional surfactant, the environmental protection property is improved, nano-deposition and microwave technologies are introduced, the performance is improved, meanwhile, the energy consumption is reduced, and the compression resistance enhancement and self-repairing characteristics are newly added; and the method adapts to more complex stratum working conditions.

The invention discloses an injection-production well connectivity modeling and yield prediction method and device, and relates to the technical field of oil reservoir engineering. Comprising the following steps: on the basis of preprocessed time sequence injection-production data, constructing a spatial topological graph structure according to screening conditions; constructing a yield prediction model based on the LSTM-GAT network, taking the spatial topological graph structure as the input of a graph attention mechanism, extracting the time dependence characteristics of the gas injection well and the production well by using the long short-term memory network, and extracting the spatial dependence relationship of the gas injection well and the production well by using the graph attention mechanism so as to output the predicted yield of the production well at the future moment; constructing a fitness function, and introducing a whale optimization algorithm to perform global optimization on the injection-production parameters to obtain an optimal injection-production parameter combination; and outputting the optimal injection-production parameter combination. The problems that when an existing method is used for determining the inter-well communication relation, a large amount of geological data and experiment cost are needed, the analysis process is complex, consumed time is long, and accurate optimization of injection-production parameters is difficult to achieve are solved.

The invention discloses a wireless layered water injection communication method and device, electronic equipment and a storage medium. The method comprises the steps that water absorption characteristic curve information of stratums corresponding to all water distributors in a target well is obtained, a target stratum is determined according to the water absorption characteristic curve information, an instruction for obtaining characteristic parameters of a reference stratum is received, and a sound wave signal generator corresponding to the reference stratum is controlled to emit a sound wave signal; the sound wave signal is transmitted to a target water distributor corresponding to the target stratum, so that the target water distributor sends a pressure pulse signal to a wellhead controller of the target well, characteristic parameters of the reference stratum are obtained, and the pressure pulse signal is a signal used for indicating the characteristic parameters of the reference stratum. After the target stratum is determined, the sound wave signal is transmitted to the target water distributor corresponding to the target stratum through the sound wave signal generator, then the target water distributor sends the underground data to the wellhead controller through the pressure pulse signal, and the problems that the whole well communication efficiency is low and the communication reliability of partial layers is poor are solved.

The invention discloses an intelligent optimization decision-making method and system for an oilfield water injection system, and belongs to the technical field of oilfield development engineering. The method comprises the following steps: constructing a pipe network digital twinborn model and carrying out actual measurement verification; executing hydraulic-thermal simulation based on the model to generate a pressure-flow map; optimizing water distribution in combination with an injection allocation scheme and matching a pump set combination; generating a control instruction and executing a pressurization scheme; monitoring the state of the pipe network in real time and correcting model parameters. Through the digital twin technology and the differential evolution algorithm, global optimization decision of water distribution and pump set combination of the water injection system is achieved, and the problems that a traditional system is high in energy consumption and low in efficiency are solved.

The invention discloses an intelligent optimization method for a multi-type well seam joint control fine injection-production mode, and relates to the technical field of oil-gas field development. The method comprises the following steps: setting a well seam joint control fine injection-production mode, establishing an oil reservoir numerical simulation model in oil reservoir numerical simulation software, obtaining multiple groups of oil reservoir injection-production schemes based on a Latin hypercube sampling method, performing simulation according to each group of oil reservoir injection-production schemes by utilizing the oil reservoir numerical simulation model, generating multiple pieces of sample data, and establishing a sample database; a deep learning agent model is established, after the sample database is utilized to train and train the deep learning agent model, a particle swarm optimization algorithm is adopted to carry out single-target pre-search global optimization to obtain a preferred reference strategy, a reinforcement learning dynamic decision model is established, and a reinforcement learning agent is obtained through training based on a PPO near-end strategy optimization algorithm; and the optimal injection-production development scheme of the oil reservoir is obtained by utilizing the reinforcement learning agent, so that rapid optimization and decision support of the oil reservoir injection-production scheme in a new multi-type well seam joint control mode are realized.

A method and a system for optimization of development by carbon dioxide injection based on incomplete miscibility characteristics are provided, where the method includes following steps: building a three-dimensional reservoir model based on laboratory experiments and reservoir values, where the three-dimensional reservoir model includes: a fluid model and a reservoir model; based on the three-dimensional reservoir model, obtaining incomplete miscibility characteristics of reservoir development by carbon dioxide injection; and completing whole life cycle optimization development of carbon dioxide injection based on the incomplete miscibility characteristics.

Providing a method for assessing the impact of fragile structures on large-scale fracturing in deep thermal reservoirs "Solution: Based on a precise depiction of the fragile structure of the formation and a study of its mechanical properties, the spatial distribution of the structure is determined, well locations and networks are arranged, fracturing zones are selected, and the fracturing suitability of the formation is comprehensively evaluated. Furthermore, a thermal-fluid-solid coupled damage model and a thermal-fluid-solid-chemical coupled damage model are established to study the activation conditions of the original fragile structure surface, and the fluid filtration characteristics of the structure and the maximum discharge volume that can be safely fractured are evaluated. Based on this, triaxial fracturing physical simulations and numerical simulations are carried out to clarify the influence laws of the fragile structure surface on the expansion and seepage flow of fracture cracks, and to clarify the influence mechanism of the fragile structure on large-scale fracturing of the formation under high temperature and pressure conditions."

A tool housing for use in a wellbore tool string may include a housing body having a first housing region and a second housing region. The tool housing may include a bias member channel provided in the first housing region and extending inward in a radial direction. A bias member may be provided within the bias member channel and engaged with a snap connector. The bias member may bias the snap connector outward in the radial direction. A connector groove may be provided in a hollow interior of the second housing region and extend outward in the radial direction. A first housing region of a second tool housing of a wellbore tool string may be inserted into a hollow interior of a first tool housing. A snap connector of the second tool housing may be coupled with a connector groove of the first tool housing.

The invention relates to the technical field of geothermal exploitation, and discloses a geothermal well group intelligent cooperative regulation and control method for geothermal exploitation, which comprises the following steps: collecting multi-source heterogeneous data in real time through multiple types of sensors deployed in a geothermal well group and a surrounding environment, data standardization, time sequence alignment and noise filtering are carried out through a uniform interface and a communication protocol, and a multi-dimensional monitoring database of the whole geothermal exploitation process is constructed; on the basis of multi-source heterogeneous data, historical mining data in a database is monitored in combination with a geologic structure of a geothermal reservoir, a seepage-heat conduction coupling mechanism and multiple dimensions. According to the invention, by deploying multiple types of sensors and constructing a multi-dimensional monitoring database, real-time acquisition and standardized processing of high-precision and multi-source heterogeneous data in the whole geothermal exploitation process are realized, a reliable data basis is provided for subsequent intelligent decision making, and the sensing ability of the system to complex geology and exploitation environments is significantly improved.

In a general aspect, the present disclosure relates to a blender system for use in a hydraulic fracturing system. The blender system includes a mixing tub and a movable divider associated with the mixing tub. The divider is movable between an open position and a closed position. When the divider is in the open position, liquid can flow between a first portion of the mixing tub and a second, distinct portion of the mixing tub. When the divider is in the closed position, the divider prevents liquid flow between the first and second portions. A divider control system can move the divider between the open and closed positions. A first input pump pumps fluid into the first portion of the mixing tub, and a first output pump pumps fluid from the first portion of the mixing tub. A second input pump pumps fluid into the second portion of the mixing tub, and a second output pump pumps fluid from the second portion of mixing tub.

A fluid end includes a housing having a bore extending toward a cavity and a wear sleeve positioned within the bore. The fluid end also includes a plunger positioned within a plunger bore extending through the wear sleeve, the plunger reciprocating within the plunger bore. The fluid end further includes a wear sleeve retainer coupled to the housing and positioned to block axial movement of the wear sleeve, the wear sleeve retainer having external threads along a body that engage internal threads formed in the housing. The fluid end also includes an anti-rotation system, coupled to the housing, the anti-rotation system engaging the wear sleeve retainer to block rotation of the wear sleeve retainer in at least one direction. The fluid end further includes a packing nut coupled to the wear sleeve retainer.

Systems and methods of operating a fracturing operation include a platform having an upper surface and a channel, wherein the platform is configured to receive a carrier mounted with a pumping unit; and a conduit configured to transfer fluid to or from a manifold system, the conduit having a first end configured to be connected to the pumping unit. The channel may be configured to receive the conduit when the carrier is at least partially received on the platform. A guide member may be configured to guide the conduit into the channel and include a rounded portion and an abutment surface, wherein the conduit is configured to extend at last partially around the rounded portion, and the carrier is configured to engage the abutment surface. The systems and methods may also include a controller configured to control a braking system of the carrier when the pumping unit is actuated.

Systems and methods described herein may include pumps and pump components including carbon-manganese-chromium (C—Mn—Cr)-based steel alloys for enhanced resistance to wear or corrosion. A pump component may include one or more components formed of a C—Mn—Cr-based ferrous alloy, which may result in enhanced wear or corrosion resistance. The C—Mn—Cr-based ferrous alloy may include a carbon content ranging from about 0.1 weight percent (wt. %) to about 2 wt. %, a manganese content ranging from about 10 wt. % to about 30 wt. %, and a chromium content ranging from about 0.1 wt. % to about 20 wt. %.

Embodiments of a manifold of a hydraulic fracturing system include a junction having an inlet flow bore. The junction can include an integrated flow junction and valve check assembly having a body including a central portion and one or more side portions. The central portion can be positioned between a pair of manifold sections of the manifold and attached thereto. The one or more side portions extend radially from the central portion and include an inlet bore through which a pressurized fluid is received and supplied to the manifold. One or more check valves is positioned along the inlet bore so as to be integrated within the body of the junction.

The invention discloses a polymer-flooding reservoir yield prediction method and system based on a double attention mechanism and a storage medium, relates to the field of oilfield development, and aims to solve the problems that a bidirectional dependency relationship and local features of long-time-series data are difficult to capture at the same time and feature weight distribution and time-series information focusing effects are insufficient in an existing method. According to the technical key points, the method comprises the following steps: S1, collecting field development data of the polymer flooding reservoir and screening optimization characteristics; s2, a CNN-BiLSTM-DAM fusion model is constructed, and the function implementation process of the model comprises the steps that local features of input data are extracted based on a convolutional layer, a dynamic weight is distributed to the local features of each time step through an attention mechanism layer, forward and backward dependency relationships of weighted time sequence feature data are captured through a bidirectional loop structure of a BiLSTM layer, and a dynamic weight is distributed to the local features of each time step; performing weight adjustment on the time sequence features output by the BiLSTM layer through the attention mechanism layer, and capturing global time dependence through the BiLSTM layer; and S3, the optimized features are input into the trained CNN-BiLSTM-DAM fusion model, and the yield of the polymer flooding reservoir is predicted.

The invention discloses a deep learning assisted acceleration fracturing construction parameter intelligent real-time optimization method, and belongs to the field of unconventional oil and gas field development, and the method comprises the steps: constructing a structured sample database covering geological attributes, engineering parameters and fracturing effect responses, and carrying out the unified preprocessing of multi-source data; constructing a multi-modal space-time collaborative prediction model, and combining a multi-expansion time permissible convolutional network, a three-dimensional residual network and a cross attention mechanism; supervised learning training is carried out based on a database, sparse regularization and learning rate scheduling are introduced, and the model precision and generalization ability are improved; a hierarchical collaborative optimization framework of outer-layer Bayesian search-inner-layer CMA-ES refinement is provided, and reservoir transformation volume maximization and construction feasibility are achieved under complex constraints; compared with an existing method, optimization parameters of the method include the cluster distance and the section distance and further include the displacement, the sand concentration, the fracturing fluid type and other construction parameters, and real-time optimization of the fracturing construction parameters can be achieved through the machine learning agent model.

The present invention belongs to the technical field of oil and gas engineering. Disclosed are an artificially-assisted packing method for sand control and water control in a fractured reservoir, and a packing effect evaluation method. The artificially-assisted packing method for sand control and water control in a fractured reservoir comprises the following steps: S11, calculating a fracture occurrence evaluation index F for a fractured reservoir; S12, calculating an artificially-assisted packing process implementation feasibility index G; and S13, on the basis of the fracture occurrence evaluation index F obtained in step S11 and the artificially-assisted packing process implementation feasibility index G obtained in step S12, selecting one of a natural micro-saturated packing process, an artificially-assisted squeezing supersaturated packing process and an artificially-assisted fracturing strong-saturated packing process for packing. By means of the packing method in the present invention, an appropriate packing mode is correspondingly selected on the basis of the structure of a natural fracture in a reservoir, and the matching degree between the natural fracture and an available proppant, thereby "making the remedy suit the case" and effectively ensuring the effect of sand control and water control.

The invention discloses a geothermal development oil shale and CO2 geological storage integrated method, which relates to the field of complex oil and gas reservoir development, and comprises the following steps: designing U-shaped well process parameters, enabling CO2 fluid to flow to a high-temperature geothermal reservoir through a descending section of a U-shaped well, injecting the CO2 fluid into the oil shale reservoir along an ascending section of a shaft after sufficient heat exchange, preheating the oil shale, and storing the CO2 fluid into a high-temperature geothermal reservoir through the descending section of the U-shaped well. Terrestrial heat extraction and utilization are realized; after the temperature of the oil shale layer rises to the target temperature, the oil shale layer is further heated through manual heating, and in-situ conversion development of the oil shale is achieved; after completion, produced CO2 is injected into the oil shale layer again through the U-shaped well, and collaborative development of CO2 geological storage, geothermal extraction and oil shale in-situ conversion is achieved. Geothermal energy is efficiently extracted through CO2 and used for oil shale in-situ pyrolysis, the extra manual heating cost needed by oil shale in-situ conversion is remarkably reduced, and the economic feasibility of a pure storage project and oil shale in-situ conversion development is improved.

The invention discloses an ultra-low-density high-strength resin proppant capable of being carried by clear water or low-viscosity slickwater. The proppant is prepared by dispersing, polymerizing and curing a mixture comprising 15 to 50 weight percent of vinyl monomer, 5 to 10 weight percent of acrylate monomer and 50 to 70 weight percent of unsaturated resin. The preparation method comprises the following steps: controlling the resin composition in a water phase by virtue of a dispersing agent and a rotating speed to form spherical liquid drops with the particle size of 12-140 meshes and the sphericity of nearly 100%; then, the temperature ranges from 30 DEG C to 80 DEG C; the propping agent provided by the invention has ultra-low density, can be carried by clear water or low-viscosity slickwater, is suitable for low-viscosity fracturing fluid, low-displacement construction and small-scale fracturing, can realize ultra-far-end seam net support, and greatly increases the oil and gas drainage area. The breaking rate under the closing pressure of 20-90 MPa is lower than 2%, the surface is weakly lipophilic, and the oil-phase flow conductivity is higher than the water-phase flow conductivity.

The invention relates to the technical field of blow-off gas recovery, and particularly discloses a natural gas well blow-off gas recovery device and a recovery technology.The natural gas well blow-off gas recovery device comprises a sand removing mechanism, sand-containing natural gas can form vortex after entering the sand removing mechanism, a sand discharging opening is formed in the bottom of the sand removing mechanism, and the natural gas well blow-off gas recovery device further comprises a guiding mechanism which comprises a guiding piece and a driving piece; the guide part comprises a hollow rotating shaft and a spiral blade, the hollow rotating shaft is rotationally connected into the sand removing mechanism, the spiral blade is connected into the hollow rotating shaft, a flowing channel for guiding a vortex track can be formed between the spiral blade and the sand removing mechanism, and the driving part is installed in the sand removing mechanism and connected with the hollow rotating shaft; the driving piece can drive the hollow rotating shaft to rotate to drive the spiral blade to rotate, so that the track of the vortex is changed; according to the natural gas well blow-off gas recovery device and process, the flowing track of the vortex can be continuously changed, and a low-speed vortex area is prevented from being formed in the sand discharging opening.

A proportioner comprising one or more proportioner inlets configured to receive a common concentrated proppant fluid comprising a proppant; two or more flow lines fluidly connected to the one or more proportioner inlets; two or more proportioner outlets, each of the two or more proportioner outlets associated with one of the two or more flow lines; one or more fluid inlets, each of the one or more fluid inlets configured to introduce a proppant-free fluid to the proportioner; and a metering system associated with at least one of the two or more flow lines, each at least one metering system upstream of the proportioner outlet of the flow line with which it is associated and each metering system fluidly connected with at least one of the one or more fluid inlets and configured for proportioning one of the proppant-free fluids into the associated flow line at an injection point.

The invention relates to the technical field of well site fracturing, and discloses a well site fracturing dynamic analysis method based on the Internet of Things, which comprises the following steps: S1, constructing a multi-level sensor network in a well site for acquiring fracturing equipment operation parameters, underground reservoir dynamic response data, fracturing fluid performance parameters and well site surrounding environment monitoring data in real time to form multi-source data; s2, preprocessing the collected multi-source data through an edge computing node to obtain preprocessed data, uploading the preprocessed data to a cloud analysis platform through an encryption transmission protocol, and constructing a well site fracturing digital twinborn model on the cloud analysis platform; s3, the cloud analysis platform carries out correlation calculation on the preprocessed data and the digital twinborn model through a multi-dimensional analysis model, and a comprehensive evaluation result of the fracture propagation dynamic characteristics, the reservoir flow conductivity and the fracturing equipment operation state is generated; and S4, generating a regulation and control instruction based on a comprehensive evaluation result, and dynamically adjusting the fracturing parameters.

The invention provides an air energy storage well coated sand layer alternating injection-production instability mode discrimination and evaluation method, which comprises the following steps of: 1, determining an initial state parameter of an evaluation object, and determining flow in experimental evaluation according to a similarity criterion; 2, collecting parameters of two ends of the coated sand filling layer in the experiment process, classifying alternating injection-production instability failure forms of the coated sand filling layer of the air energy storage well, and identifying instability failure modes; step 3, calculating each index according to the collected parameters; and 4, carrying out production regulation and control and coated sand filling layer evaluation according to an index calculation result. According to the air energy storage well coated sand layer alternating injection-production instability mode distinguishing and evaluating method, the stability of a coated sand filling layer in the experiment (production) process is evaluated through a simple method, the underground production state of the coated sand filling layer is simulated, instability mode distinguishing is carried out, and certain guiding significance is achieved for actual well safety production.

A fluid end made of a housing and a plunger reciprocating therein. The plunger has a hollow bore formed therein, and a valve assembly situated on one end of the plunger. The plunger may have a sleeve situated within the bore that aids in the installation of the valve assembly. The plunger may have a second bore extending perpendicularly from the hollow bore. The first bore may be connected to an attachment piece which connects to a conduit. The conduit may then be connected to a manifold which is configured to provide a fluid to the plunger's bore. The housing may be made of a static section and a plurality of dynamic sections. The dynamic sections may thread into the housing. The static section may be made of two pieces to aid with installation of a dynamic seal.

To provide a deep well filtering structure that effectively prevents the subsidence and collapse of the well wall. [Solution] The deep well filtration structure of this invention includes a surface loess layer 1 and a well channel 7, with a concrete well side 8 poured onto the surface of the surface loess layer, a reinforced concrete permeable pipe and a reinforced concrete solid pipe 10 installed in sequence inside the well channel, a well pipe pallet 6 placed at the bottom end of the well channel, and below the surface loess layer, in sequence, a gravel-mixed loess layer 2, a gravel layer 3, a crushed stone-mixed loess layer 4 and an underground loess layer 5, and a clay ball-filled sealing layer 9 filled between the surface loess layer, the gravel-mixed loess layer and the reinforced concrete solid pipe.