248 results about "Well placement" patented technology

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 belongs to the technical field of shale oil horizontal well three-dimensional development, and particularly discloses a shale oil three-dimensional well network well location multi-objective optimization method which is used for solving the problem of how to achieve multi-objective collaborative optimization of the recovery ratio, the economic benefit and the inter-well interference degree. Comprising the following steps: (1) constructing a multi-field coupling dynamic oil drainage volume characterization model; (2) establishing an inter-well interference degree quantitative evaluation system based on the dynamic oil drainage volume characterization model; (3) realizing multi-source data fusion and high-precision prediction on the dynamic oil drainage volume, the recovery ratio, the net present value and the inter-well interference degree by combining a CNN-LSTM deep learning prediction model; and (4) implementing multi-objective optimization based on an NSGA-III multi-objective optimization algorithm, and comprehensively balancing the recovery ratio, the net present value and the inter-well interference degree on the premise of meeting engineering and economic constraints. Reliable technical support is provided for decision deployment of oil reservoir engineers under complex development conditions.

The invention provides a coal-bed gas well production dynamic analysis method and system based on AI time sequence prediction, and the method comprises the steps: firstly collecting a production dynamic data sequence of a coal-bed gas well, a corresponding well position geological condition data sequence and a surrounding environment data sequence, and constructing a ternary time sequence dynamic association network comprising node dynamic time sequence segments and a connection line real-time association relationship; and then calling a pre-trained AI time sequence coupling deviation evolution mining model to process the ternary time sequence dynamic association network to obtain a ternary time sequence coupling deviation result. And a deviation conduction closed-loop path is determined according to a ternary time sequence coupling deviation result in combination with forward conduction positioning and reverse tracing verification, and a deviation conduction analysis report is generated. And finally, generating a dynamic regulation strategy based on the deviation conduction analysis report in combination with a production dynamic prediction threshold value, outputting the dynamic regulation strategy to a production control terminal, and meanwhile, feeding back regulation data to update a network node association relationship, thereby realizing accurate analysis and regulation of the production dynamic state of the coal-bed gas well.

Systems and methods for managing records and predictions of the subsurface fracture spacing are disclosed. The methods may include, using a computer system: obtaining, from a discontinuity database, discontinuity data and geological layering data, filtering the discontinuity data to output a plurality of arrays of fracture spacings, determining, using the plurality of arrays of fracture spacings, a spatial data analysis and a confidence interval, determining, using the spatial data analysis and confidence interval, a fracture cluster spacing, and determining, using the fracture cluster spacing and the confidence interval, a random fracture spacing and a fracture set spacing. The methods may further include determining, using a geomodeling system, a well placement target based, at least partially, upon the random fracture spacing and the fracture set spacing; and drilling, using a drilling system, the well placement target determined by the geomodeling system.

The invention discloses a well network and well location optimization method based on a flow field area and equilibrium utilization evaluation, and relates to the technical field of petroleum engineering. On the basis of streamline numerical simulation, a water-drive reservoir streamline numerical simulation well location optimization model is constructed, a target function based on a production system, optimization variables, constraint variables and flight time balance is defined, an initial population is constructed on the basis of Latin hypercube sampling, and a water-drive reservoir streamline numerical simulation well location optimization agent model is constructed; and based on a Q-Learning enhanced marine predator algorithm, performing simulation by using the water-drive reservoir streamline numerical simulation well location optimization agent model, obtaining streamline data and derivative data obtained by simulation of the water-drive reservoir streamline numerical simulation well location optimization agent model, and performing well network and well location optimization. According to the method, the well position optimization speed and optimization effect are effectively improved, the evaluation period of the well position arrangement scheme is remarkably shortened, and the comprehensive economic benefits of oilfield development are improved.

The invention discloses a drilling-measurement constrained three-dimensional geothermal geologic attribute modeling and quantification method, and relates to the technical field of data analysis and processing, and the method comprises the following steps: 1, constructing a drilling-measurement constrained three-dimensional geothermal geologic voxel basic model, and forming a three-dimensional geothermal geologic voxel basic model covering a modeling range; 2, constructing an implicit signed distance field on the three-dimensional geothermal geologic voxel basic model to express fracture geometry, generating a unified implicit geothermal geologic voxel field, and redividing voxel categories according to the unified implicit geothermal geologic voxel field; and step 3, executing moving cube surface reconstruction and prior sensitivity analysis on the unified implicit geothermal geologic voxel field to give a space confidence body and a volume interval, and dividing the space confidence body and calculating the volume interval according to the voxel occurrence frequency. Evaluation of the geothermal body is changed from traditional single volume estimation to interval and confidence expression, and a reliable basis is provided for well position deployment, risk management and development planning.

The invention discloses a coal underground gasification injection-production well pattern determination method, device and equipment and a medium. The method comprises the steps that an injection well site is determined according to a gasification control area of a target reservoir development body, and an injection well bore structure is determined according to injection conditions and coal seam parameters corresponding to the gasification control area; determining a migration path concentration area and an enrichment area of preset generated gas, and determining a production well site according to the migration path concentration area and the enrichment area of the preset generated gas; and according to the injection well site, the injection well body structure and the production well site, coal underground gasification injection-production well pattern distribution of the target reservoir development body is determined. According to the technical scheme, by selecting the proper injection well site, the injection well body structure and the production well site, coal underground gasification injection-production well pattern distribution is determined, coal underground gasification injection-production well pattern deployment is achieved, and the coal seam combustion rate and the preset generated gas recovery rate are increased.

The invention relates to a construction method, device, equipment and medium of a complex geological reservoir model, and relates to the technical field of oil exploration and development. Comprising the following steps: combining obtained riverway scale parameter data obtained by field actual measurement, a three-dimensional digital outcrop profile of an outcrop profile of a research area, a geological knowledge database of configuration units at all levels of a sub-facies reservoir of the research area, and sedimentary microfacies distribution of the outcrop profile of the research area obtained by combining the riverway scale parameter data to obtain X, Y, Z, Z, Z and Z; performing two-dimensional training image slicing in three directions of Z and Z; and performing three-dimensional training image simulation on the two-dimensional training image slices by using an s2Dcd-DS coupling algorithm, and performing three-dimensional geological modeling by using a multi-point geostatistics modeling algorithm to obtain a three-dimensional geological model. According to the construction method provided by the invention, the complex geological conditions and structural characteristics of the complex geological reservoir such as the plains of the braided river delta can be effectively represented, and oil and gas distribution, well location deployment and remaining oil excavation of the braided river reservoir can be guided.

The present invention discloses a method and system for identifying low-velocity mudstone based on attribute clustering. It includes: by analyzing the logging data and seismic data of exploration wells in the work area, dividing the low-velocity mudstone into bright spot type and non-bright spot type, and analyzing their characteristics. Establishing a three-layer medium model and conducting seismic forward modeling to obtain the seismic response characteristics of different models. Then, extracting and optimizing seismic attributes from the forward modeling results. Using the CLARA clustering algorithm and the PAM method to conduct clustering analysis on the attributes to identify the types of low-velocity mudstone and gas-bearing sandstone. The present invention improves the identification accuracy of low-velocity mudstone and gas-bearing sandstone, and provides technical support for exploration and well location deployment.

The invention discloses a three-dimensional dynamic prediction method and system for deep brine resource quantity, particularly relates to the technical field of mineral resource exploration, and is used for solving the problem of resource evaluation misalignment caused by a well group interference effect in intensive mining. The method comprises the following steps: constructing a spatial topology network model which takes a well location as a node and a well spacing as an edge weight by obtaining a mining area well group space coordinate and mining dynamic time sequence data; excavating pressure conduction characteristics, resource concentration migration characteristics and shaft temperature time sequence data; calculating a thermal buoyancy gradient based on temperature data, determining a stress deflection angle in combination with a network model azimuth angle, and fusing to construct an interference strength coefficient matrix; tracking an inter-well resource siphon path by using a network edge weight, and generating a time-lag compensation factor by coupling a time-lag rule of pressure and concentration characteristics; finally, the interference matrix, the siphon path and the time delay factor are fused to dynamically correct the single well evaluation value, the total area brine resource amount is output, and the intensive mining area resource evaluation precision is remarkably improved.

The present invention relates to a method for predicting the temperature of production fluid in a karst geothermal well-injection system. The method involves pre-collecting relevant geological data on the geothermal system and data related to the operation of the well-injection system, determining tracer composition and calculating the injection amount. Tracer tests are then conducted in the karst well-injection system to obtain tracer test results and plot curves. Based on the tracer test results, Qtracer2 software is used to calculate the tracer recovery rate, cross-sectional area, and height of the karst channel. The boundary conditions of the karst geothermal heat transfer model are determined, a time period is set, and the temperature changes in the production well are calculated based on the heat transfer model. This method for predicting the temperature of production fluid in the well is accurate and reliable, highly operational, and quick and convenient. It solves the problem of predicting the temperature of production fluid in the well of the well-injection system under long-term well recharge conditions and plays an important guiding role in the selection of karst geothermal production and recharge plans and the well location layout for later projects.

The invention relates to the technical field of geophysical exploration, in particular to a method for performing well leakage early warning by utilizing an earthquake prediction result, which comprises the steps of basic data acquisition, regional geological condition analysis, earthquake data preprocessing, small fracture and fracture-cavity earthquake fine description and shadow relief display of a description result. According to the method, the quality of basic data is improved by introducing anisotropic diffusion and a three-dimensional multi-stage median joint filtering technology, multi-attribute fusion based on adjustable parameters is carried out on pre-stack multi-azimuth frequency attenuation gradient crack prediction and post-stack structural coherent tensor, and finally, a multi-attribute fusion result is spatially displayed by utilizing a shadow relief technology. The precision of small fracture and fracture-cavity body depicting is improved, the spatial forms of fractures and fracture-cavity bodies are displayed more visually, and well position design, well drilling design and well drilling trajectory optimization can be effectively guided.

The invention belongs to the technical field of geophysical exploration, and particularly relates to a two-section type phase control high-precision speed field building method for a complex structure area. A two-section type phase control high-precision speed field building method for a complex structure area comprises the following steps that a shallow surface layer area marker bed in a research area is determined, drilled wells evenly distributed in the research area are screened out, and according to the shallow surface layer area marker bed and well logging data of the drilled wells, the shallow surface layer area marker bed and the well logging data of the drilled wells are determined; establishing a three-dimensional structure model and determining a shallow surface layer velocity field of the research area; determining a geological anomalous body and a marker bed of a middle-deep layer area in the research area through seismic geology combination, establishing a middle-deep layer structure model, and determining a middle-deep layer velocity field of the research area; a shallow surface layer velocity field and a middle-deep layer velocity field are fused, a velocity field of a research area is established, time-depth conversion of a time-domain seismic data volume is completed, and a depth-domain seismic data volume is obtained, so that the structural interpretation precision in the research area is improved, and support is provided for well position deployment and storage increase and production.

The invention provides a deep heat storage weak structure formation mechanism identification and analysis method, and relates to the technical field of deep high-temperature geothermal reservoir exploration and development. A plurality of exploration well positions are selected in a deep heat storage exploration and development area, a well drilling steel pipe is used for sample collection, and in the drilling process, the deep heat storage weak structure formation mechanism is identified and analyzed. And the rock sample is conveyed to a ground sample collection position through the spiral conveying device in the steel pipe. And the length of the sample can be measured in real time, and the depth of the sample is recorded in combination with the steel pipe driving sequence, so that the depth interval of the sample can be accurately divided, the surface characteristics and component information of the sample are analyzed in detail, and the position, scale and property of the deep heat storage weak structure can be accurately identified. And a database generated by combining the data can accurately grasp a deep heat storage weak structure formation mechanism, so that deep heat storage resources can be developed more efficiently, and clean energy supply is increased.

The invention discloses a well pattern optimization method of a three-objective collaborative system fused with dynamic heterogeneity, which comprises the following steps: solving a pressure equation based on an oil reservoir numerical simulation model, and calculating a Lorentz coefficient to quantitatively characterize the dynamic heterogeneity; constructing a three-target collaborative system and a high-dimensional parameter collaborative optimization model to jointly form a multi-target optimization model; after a standard particle swarm optimization algorithm is improved, the multi-objective optimization model is solved, well position coordinates, perforation layer positions and injection-production parameters are automatically adjusted through iterative circulation, and an optimal scheme set is output to provide decision reference for oil reservoir development. According to the method, a dynamic heterogeneity coefficient, cumulative oil production maximization and water production minimization form a three-objective collaborative system, a high-dimensional parameter collaborative optimization model is constructed based on a well pattern optimization problem to jointly form a multi-objective optimization model, the multi-objective optimization model is solved through an improved particle swarm optimization algorithm, iterative circulation is carried out, and the optimization efficiency is improved. And well position coordinates, perforation layer positions and injection-production parameters are automatically adjusted, and an optimal scheme set is output.

The invention belongs to the technical field of petroleum geological exploration, and relates to a logging lithology intelligent identification method and system based on well network position map structure learning and feature fusion, and the method comprises the steps: obtaining the original data of logging in a target work area, and carrying out the standardization preprocessing, the original data comprises logging data, well position coordinate data and lithology label data; according to the original data after standardization preprocessing, a well network position map structure is established; performing feature extraction on the well pattern position map structure by using a map neural network to obtain high-dimensional features; fusing the high-dimensional features with original logging features, and obtaining an enhanced feature set to train a lithology classification model; and utilizing the trained lithology classification model to predict the lithology of a to-be-identified well section, and outputting a lithology identification result of the to-be-identified well section. The lithology identification accuracy and the geological rationality can be obviously improved.

The invention discloses a design optimization method and device for an injection-production well pattern, relates to the technical field of well pattern deployment optimization in oil and gas field development engineering, and aims to automatically optimize a well position according to three-dimensional distribution of remaining oil so as to improve the recovery ratio. According to the main technical scheme, the method comprises the steps of determining a remaining oil saturation field of a designated area according to a three-dimensional geologic model; identifying a remaining oil enrichment area based on the spatial form parameters and connectivity indexes in the remaining oil saturation field; according to the remaining oil reserves, the displacement efficiency and the inter-well pressure and flow of all the remaining oil enrichment areas, the mining potential index and the mining risk level of all the remaining oil enrichment areas are calculated; and taking recovery efficiency maximization and productivity equalization as optimization objectives, taking the mining potential index as a recovery efficiency weight factor, taking the mining risk level as a risk constraint condition, and adopting a multi-objective optimization algorithm to generate a target injection-production well pattern.

This invention relates to the field of geophysical exploration and oil and gas geological analysis technology, and discloses a method for predicting fractured reservoirs in carbonate buried hills based on geological guidance and multi-scale fusion. The method includes: constructing a three-dimensional geological guidance constraint body using paleogeography and fault systems as geological priors; characterizing the fracture response mechanism using Gabor wavelet frequency division and structural tensor; constructing sensitive attributes and predicting the fracture body using a multi-branch convolutional neural network that fuses multi-source seismic attributes; and calculating the fracture complexity index based on the predicted fracture body to classify and zone the buried hill fractures. This invention introduces geological guidance constraints to improve the geological consistency of the prediction results; utilizes multi-scale Gabor frequency division and structural tensor analysis to achieve multi-scale fracture characterization; enhances model interpretability and prediction accuracy by fusing multi-source attributes through a multi-branch convolutional neural network; and achieves quantitative reservoir classification through the fracture complexity index, effectively guiding well location deployment and drilling decisions.

This invention relates to a star-rating management method and system for the deployment and implementation of gas field development wells, belonging to the field of gas field development technology. The invention first establishes an initial production estimation expression and dimensionless production curves for gas wells using dynamic production data from existing similar gas wells. Then, it uses these results to determine the production rate of newly deployed gas wells and, based on production and cost, determines the internal rate of return (IRR) for these wells. If the required IRR is not met, the deployment location and construction process of the new wells are re-optimized until the required IRR is achieved. Simultaneously, the star rating of the gas well's economic benefit is determined based on the IRR. Drilling is then carried out at the new well deployment location that meets the economic development requirements. After drilling, a more detailed fracturing design is conducted, and the IRR and star rating of the gas well are re-determined according to the new design. This invention effectively improves the targeting of single-well geological design and fracturing construction design, thereby improving development results and quality.

The present application relates to a kind of oil well water cut prediction method and system based on multi-scale knowledge distillation, it is related to oil and gas field development engineering technical field, to solve the problem of complex oil well water cut evolution mechanism, injection-production response hysteresis in oilfield development is strong.Method obtains oilfield block production, injection and well location relationship data, constructs oil-water well time sequence dynamic characteristics after preprocessing;Through lag correlation analysis, the optimal time lag and dynamic weight between wells are obtained, and the dynamic weighted effective injection characteristics suitable for history and future are constructed;Time sequence sample is constructed and dataset is divided according to time, soft label and dynamic representation are output by training multi-scale teacher model fusion, student model is constructed and aligned with teacher and student samples, and knowledge distillation training is completed by multi-loss self-adaptive supervision;Water cut prediction, index deduction and water cut risk early warning are realized by using student model.The present application effectively balances prediction accuracy and reasoning efficiency, improves the accuracy of oil well water cut time sequence prediction, and provides support for oilfield injection development control.

The present application provides a kind of reservoir brittleness index seismic prediction method, device, computer readable storage medium and electronic equipment, the method comprises: according to the relationship of the elastic parameter of target area rock with the change of pressure Determine the relationship of the reservoir brittleness index of target area with the change of effective confining pressure;By inversion, determine the reservoir brittleness index data volume of target area without considering the influence of effective confining pressure;Based on the well logging data and seismic data of target area, calculate the formation pressure of target area, and determine the effective confining pressure data volume of target area according to the formation pressure;Based on the reservoir brittleness index data volume of target area without considering the influence of effective confining pressure, the effective confining pressure data volume of target area, according to the relationship of the reservoir brittleness index of target area with the change of effective confining pressure, determine the reservoir brittleness index data volume of target area considering the influence of effective confining pressure.The technical scheme of the present application improves the accuracy and rationality of reservoir brittleness index seismic prediction, especially provides technical support for guiding deep shale gas well site deployment and well trajectory design.

This invention discloses a device for installing and removing circuit subs and its method of use, comprising a connecting rod, a rotating component, a connecting member, a retractable component, a pushing component, and a pulling component; the rotating component, the connecting member, and the retractable component are sequentially connected along the axial direction of the connecting rod; the rotating component is movably connected to the connecting rod; the connecting member is fixed circumferentially along the connecting rod and movably axially along the connecting rod; the inner diameter of the retractable component is larger than the minimum outer diameter of the pulling component and smaller than the maximum outer diameter of the pulling component; when installing or removing circuit subs, the pushing component or the pulling component is connected to the free end of the connecting rod near the retractable component. This device has a simple structure, reasonable design, convenient operation, saves manpower, is easy to carry, and enables on-site disassembly, inspection, and replacement of circuit subs, greatly improving work efficiency and ensuring the requirements of well drilling and logging parameters.

The invention relates to a convection type geothermal resource exploration method and relates to the technical field of geothermal exploration, the convection type geothermal resource exploration method utilizes comprehensive means such as unmanned aerial vehicle flight, geological survey and geophysical prospecting, comprehensive exploration is realized according to a specific process and a technical route, and the exploration accuracy is improved. An inversion processing method is utilized to construct an integration of accurately depicting the exploration method, so that the defect of single exploration in the prior art is overcome, a comprehensive exploration mode is formed from a shallow part to a deep part, from a point to a surface and from a plane to a three-dimensional part, and the convection type geothermal resource distribution condition is more accurately judged. The method is clear in principle, feasible in technology, capable of rapidly and accurately delineating the favorable optimal well position in the bedrock exposure area, suitable for optimal well position positioning and resource quantity evaluation of the convection type geothermal system controlled by a structure, and wide in application range.

The present application relates to a kind of seismic wave impedance diffusion inversion method and device, its essence is a kind of from well site to surrounding diffusion layered structure and attribute inversion method.Core is to use well logging curve to carry out layering etc., then carry out well position inversion, simultaneously, to make the result obtained by well logging interpretation and actual seismic record difference minimum, need to be appropriately disturbed by the square wave type calibration layering curve obtained from well logging interpretation, generate hundreds of reflection coefficient curves, to generate synthetic seismic record, find the synthetic record with actual seismic record difference minimum, the horizon etc. corresponding to this best synthetic record is regarded as the best seed solution and diffuses to all around, during diffusion process, by adding time window or horizon to constrain vertical propagation interval, to obtain the inversion optimum value of entire data set, specific flow as shown in Figure 1.The present application improves the precision of thin layer boundary delineation, and has higher potential for thin layer resolution.

The invention discloses a method for quantitatively dividing a vertical structure of a metamorphic rock buried hill reservoir by using logging information, which comprises the following steps of: selecting a research object according to comprehensive information; calculating a metamorphic rock buried hill feldspar weathering index by using element logging data; calculating a discriminant index of the buried hill reservoir of the metamorphic rock by comprehensively utilizing conventional logging information; establishing a metamorphic rock buried hill reservoir vertical structure unit division standard by using the feldspar mineral weathering degree index and the metamorphic rock buried hill reservoir discrimination index; and according to the standard, carrying out quantitative division on the vertical structure units of the metamorphic rock buried hill reservoir on the new well. According to the method, the metamorphic rock buried hill feldspar weathering index and the metamorphic rock buried hill reservoir discrimination index are calculated through the element logging data and the conventional logging data, the quantitative division standard is established, the reservoir vertical structure unit of the well drilling buried hill section is visually displayed, the reservoir vertical structure unit division efficiency is improved, and the reservoir vertical structure unit division efficiency is improved. And technical support is provided for subsequent development schemes and well location implementation.

The invention relates to a buried hill gas storage effective gas storage space evaluation method, and belongs to the technical field of oil-gas exploration. The method comprises the following specific steps: acquiring fracture development parameters; determining the type of a storage space; reservoir logging response characteristics are determined; extracting buried hill cracks; establishing a bedrock geologic model and a bedrock buried hill discrete fracture model of the target area; and importing the results into a gas storage simulation model in the form of data flow, extracting effective gas storage spaces of a substrate and a crack of the buried hill gas storage, and determining a final buried hill building effective gas storage space. Through research on the method for calculating the reservoir space of the buried hill oil and gas reservoir rebuilt gas storage, the problem of invalid reservoir space calculation is deducted, the calculation accuracy is improved, and theoretical support is provided for calculation of the buried hill reservoir building capacity and later injection and production well position deployment.

The application discloses a geothermal well and recharging well fracturing construction process, and determines the well position and well depth of the geothermal well according to engineering geology and hydrogeology conditions; drilling is conducted at the well position of the geothermal well, the construction of the geothermal well is conducted, and well cementation and well washing of the geothermal well are conducted; an initial value of the radius of the heat extraction influence range of the geothermal well during heat extraction is obtained; whether the initial value is smaller than a first threshold value is judged, if yes, fracturing holes are processed on the well wall of the heat extraction section in the geothermal well, and the heat extraction section is subjected to staged fracturing to form fracturing gaps; the well position and well depth of the recharging well are determined; drilling is conducted at the well position of the recharging well, the construction of the recharging well is conducted, and well cementation and well washing of the recharging well are conducted; fracturing holes are processed on the well wall of the recharging section in the recharging well, and the recharging section is subjected to staged fracturing to form fracturing gaps. The geothermal well and recharging well fracturing construction process of the embodiment of the application can improve geothermal energy flow and reduce disturbance to the stratum.

The embodiment of the application provides a pre-drilling risk assessment method, and belongs to the technical field of oil and gas drilling engineering. The method comprises the following steps: obtaining well data of historical wells, extracting drilling field entities and establishing a correlation relationship to construct a drilling knowledge base; obtaining well site coordinates, regional structure zoning and pressure distribution parameters of a well to be drilled, determining the geological similarity with the historical wells and distributing the experience transfer weight; based on the accident cause and effect chain relationship in the drilling knowledge base, a knowledge enhanced model for risk cause and effect reasoning is constructed; the model is used for semantic analysis of the design text of the well to be drilled, risk entities are identified, and the accident cause and effect chain is inferred, and the model risk confidence is output; the model risk confidence is matched with the historical accident mode in the knowledge base to determine the associated historical well set; the experience transfer weight of each well in the set is aggregated to generate a historical experience confidence; and based on the confidence, the geological uncertainty factor and the rule confidence corresponding to the accident cause and effect chain, the pre-drilling risk score and the risk level of the well to be drilled are determined.

The invention relates to the technical field of petroleum and natural gas development, in particular to a method for rapidly evaluating the well control gas-bearing area of a compact gas field, which comprises the following steps of: according to plane well position coordinates of gas wells in a research block, taking a well point gas release range as a clustering range; establishing a coordinate set of single wells on a plane, performing clustering to obtain a cluster set, calculating intersection points of all well control ranges for each well in each cluster in the cluster set on the basis of the well control range of the current well by using an operation principle of plane geometry, and obtaining a plane control range of a current cluster object; calculating the plane control ranges of all clusters in sequence to obtain the plane control range of the current research area; according to the method, the problems of low efficiency of manually drawing the plane well control gas-bearing area and large batch modification workload in the traditional compact gas field development determination process are solved, and the workload of a compact gas field development engineer for evaluating the gas field development degree can be greatly reduced.

This invention discloses a method for extracting the equivalent permeability of multi-stage seepage paths in a pore network, comprising the following steps: S1, binarizing the images captured by the experimental testing equipment, executing the pore numbering module L to obtain pore regions with different numbers; S2, executing the directed graph generation module B to generate a directed connectivity matrix C. B S3. Execute the path search module W, using continuous repeatability as a constraint during path search. S4. Execute the penetration rate equivalence module P to determine the experimental calibration coefficient C. E By confirming the magnitude of seepage resistance and the range of equivalent permeability for each path, this invention can quickly solve key issues such as the applicable range of permeability and multi-layer fluid distribution for fluid transport (such as geologically sealed CO2 and displacement fluids for reservoir development) in heterogeneous geological bodies. It provides important guidance and support for the formulation of schemes such as well location / well network layout, layer combination, and quantification of recovery / storage volume for reservoir development or CO2 geological storage.