310 results about "Well placement" patented technology

A well location and well trajectory determination method, comprising: on the basis of a stratum pressure test, and a flow phase constraint of each stratum, establishing a full-stratum-series three-dimensional rock mechanical parameter field model, so as to obtain full-stratum-series rock mechanical parameters; on the basis of a geological structure, and a stratum pressure field of each stratum, establishing a three-dimensional full-stratum-series stress field prediction model, so as to acquire full-stratum-series three-dimensional stress field parameters; on the basis of the full-stratum-series rock mechanical parameters, the full-stratum-series three-dimensional stress field parameters and a three-dimensional natural fracture model, establishing a natural fracture activity prediction model, so as to evaluate fracture activity; and determining a well location and a well trajectory on the basis of a three-dimensional original field geostress model, a three-dimensional fracturability prediction model, the fracture activity and a three-dimensional collapse pressure prediction model. By means of the method, the effects of drilling speed increases and modification and production increases can be achieved in complex oil and gas field blocks. Further provided are a drilling speed increase method, a modification and production increase method, a well location and well trajectory determination apparatus, an electronic device, and a computer-readable storage medium.

A method of constructing an injection well for a geothermal energy system comprising determining a fracture area of an injection well with a curved wellbore by inputting the curved wellbore path, a set of formation properties, and a fracturing operation, into a fracturing model. The curved wellbore path can promote fracture interference between fracture stresses extending from the injection wellbore. A production model can determine an economic value of the production fluids produced from at least one production well by determining a contact time for the injection fluids to traverse the formation. A design process can iterate the curved wellbore path of the injection well to produce a production fluid with an economic value above a threshold value.

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.

Systems and methods are for autonomous real-time 3D interactive planning and execution of well paths in a reservoir and controlling drilling of wells within the reservoir. A data processing system determines in-situ well placement based on mapping of the subsurface. The data processing system can optimize well placement based on two-dimensional (2D) or three-dimensional (3D) subsurface mapping based on proactive planning and interactive data acquisition and analysis.

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.

A method of optimizing a set of oil producing wells to be drilled in a reservoir includes receiving a base reservoir simulation representative of a geological oil reservoir, clustering the reservoir, and generating, in a first process, a possible pool of well positions in the reservoir, where each well position satisfies plausibility and respects operational constraints. The method further includes, in a second process, optimizing the pool of well positions, the second process maximizing a dynamic variable of the reservoir, and outputting the optimized pool of wells to a user. In embodiments, the second process further includes training a DNN surrogate model to forecast the production of the reservoir; and using the trained DNN surrogate model, optimizing the pool of wells.

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.

The invention provides a reservoir in-situ key rock mechanical parameter space inversion prediction method and a reservoir in-situ key rock mechanical parameter space inversion prediction system, and belongs to the field of shale oil and gas geology, and the reservoir in-situ key rock mechanical parameter space inversion prediction method specifically comprises the following steps: carrying out a nanoindentation experiment to obtain an indentation experiment database, and simulating rock indentation experiments under different conditions to obtain a macroscopic indentation numerical model; using a Latin hypercube sampling method to obtain a simulation parameter combination database, carrying out batch numerical experiments, and constructing an inversion data set; according to the inversion data set, training the deep neural network model subjected to Bayesian optimization to obtain a single-point inversion prediction model; further establishing a spatial inversion prediction model according to a Kriging interpolation algorithm; and inputting real-time detection data of the deep rock stratum into the spatial inversion prediction model to obtain real-time underground rock mechanical parameter spatial distribution data of the deep rock mass. The deep reservoir space key rock mechanical parameters can be accurately inverted, and a basis is provided for well spacing, well trajectory design, fracturing scheme optimization and the like.

The invention relates to the technical field of reservoir numerical simulation, and discloses a polymer flooding reservoir rapid simulation optimization method considering sedimentary facies constraints, which comprises the following steps: identifying sedimentary facies boundaries according to distribution characteristics of sedimentary facies, and establishing a connected network model considering the sedimentary facies constraints on the basis of the sedimentary facies boundaries, well positions and various sedimentary facies attributes; carrying out one-dimensional grid division on the connected network model, converting the connected network model into a grid connection format of a universal simulator, and solving the connected network model by adopting the universal simulator to obtain pressure and saturation solutions; establishing an automatic historical fitting mathematical model based on sedimentary facies and oil reservoir constraint conditions; the economic net present value is used as an index, the water injection rate, the liquid production rate and the polymer injection rate of each well are used as optimization variables, the differential evolution algorithm is used, the total polymer injection amount and the oil reservoir pressure are restrained, and an oil reservoir injection and production optimization mathematical model is established. According to the method, the oil reservoir is optimized by comprehensively considering the characteristics of the oil reservoir after water flooding is converted into polymer flooding, so that rapid decision-making of the oil field and guidance of oil field construction are realized.

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 provides a well position deployment construction method for a fractured horizontal well considering mine pressure treatment and gas extraction. The well position deployment construction method comprises the steps that firstly, a target key layer is determined; secondly, a ground L-shaped horizontal well is constructed; thirdly, hydraulic staged fracturing is conducted; step 4, reinjection; step 5, filling; sixthly, gas is extracted in a high extraction roadway; and 7, high-position drilling gas extraction is carried out. The method has the advantages of being controllable in drilling track, wide in influence area, low in construction cost and the like, rock burst can be effectively prevented and controlled, the problem that gas in a mining area and a goaf exceeds the limit is solved, meanwhile, the roadway tunneling work amount is reduced, and the purposes of reducing cost and improving efficiency are achieved. According to the method, multiple purposes are achieved through one well, treatment of the rock burst area of the deep coal seam is achieved, the gas extraction effect of a mining area in stoping and the gas extraction effect of a goaf after stoping are improved, and safe production of a mine is guaranteed.

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 relates to the technical field of oil-gas exploration, and discloses a strike-slip fracture identification method and device based on a multi-seismic attribute fusion technology, and the method comprises the steps: firstly obtaining the seismic data and geological background data of a target region, and then carrying out the recognition of a strike-slip fracture based on the geological background and seismic data; seismic section interpretation is carried out, coherence, curvature, tensor thickness, symmetry illuminance attributes and maximum likelihood attributes are calculated, and finally, according to the fracture scale, optimal attributes are determined and quantitative fusion is carried out to identify the strike-slip fault zone. According to the method, for fractures of different scales, different attributes are preferably selected for quantitative fusion, the advantage complementation effect between different features is achieved, the fracture recognition precision and sensitivity are improved, and researchers are effectively assisted in research work in the aspects of fracture and well location.

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 belongs to the technical field of oil and gas geophysical exploration, and discloses a horizontal well constrained seismic inversion method and system, and the method comprises the steps: intercepting a logging curve of a horizontal section; channel spacing resampling is carried out on the intercepted horizontal section logging curve; numbering sampling points of the resampled logging curve, and constructing a horizontal section data set; constructing a target inversion function based on the horizontal segment data set; and substituting the post-stack seismic data set into the target inversion function, and performing inversion to obtain a wave impedance prediction value corresponding to each channel of seismic data. According to the inversion method, the characteristic that the horizontal well crosses a seismic channel is considered, a horizontal well transverse constraint multi-channel target inversion equation is constructed, the horizontal well transverse change constraint seismic transverse inversion is utilized, the horizontal well constraint seismic inversion method and device are researched and developed, a high-precision and high-resolution wave impedance inversion result is obtained, and the method and the device are suitable for large-scale popularization and application. And powerful technical support is provided for comprehensive evaluation of oil and gas fields and well location deployment.

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 invention provides a quantitative characterization method and a quantitative characterization system for oil and gas transport efficiency of a sandstone lateral migration channel, and the method comprises the steps: obtaining a contour line included angle and a target stratum inclination angle of each well position at two sides of a construction ridge or valley according to a target stratum top surface construction contour map, and constructing a construction ridge or valley transport index according to the contour line included angle; buoyancy borne by the target stratum of each well position is obtained according to the target stratum dip angle; obtaining the residual pressure difference gradient of each well position according to the target layer pressure plane distribution diagram; superposing the contour map of the top surface structure of the target stratum and the pressure plane distribution map to obtain an included angle between an inclined reverse extension line and a residual pressure difference gradient direction in the target stratum of each well position; obtaining the weighted average permeability and the porosity of the target layer of each well location, the ridge or valley construction conduction index of each well location, the buoyancy borne by the target layer, the residual pressure difference gradient and the included angle to construct comprehensive evaluation indexes of each well location; and quantitatively characterizing the oil and gas transport efficiency of the sandstone lateral migration channel by using the comprehensive evaluation indexes of each well location. According to the invention, the lateral conduction channel conduction efficiency can be evaluated visually, simply and conveniently.

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 provides a well pattern deployment method based on differential remaining oil distribution in the late period of oil reservoir development, which comprises the following steps: S1, acquiring data of remaining oil space distribution characteristics, S2, calculating the remaining oil reserve distribution of an oil reservoir plane, S3, dividing an oil reservoir into irregular injection-production units with balanced reserves, S4, performing well position deployment of a production well and a water injection well, and S5, performing well position deployment of the production well and the water injection well. And S5, establishing a whole-region injection-production parameter configuration calculation method. According to the method, 3D fine geologic model grid unit data is converted into representation calculation of 2D plane grid units, on the basis of considering underground remaining oil distribution characteristics and according to the seepage mechanics principle, a universal method for determining the infilled well position is formed, and a new technical support is provided for the later period of oil reservoir development.

The invention relates to the technical field of landfill leakage point positioning, in particular to a well coupling electric field accurate positioning technology for thick pile landfill leakage. A plurality of well positions are arranged in the landfill for drilling, and a plurality of drilled wells are obtained; direct-current electric fields are applied to the top and the bottom of the landfill, and the voltage of each drilling well is measured; establishing a distribution curve according to the voltage of each drilling well, and sequentially obtaining a set number of minimum value points in the distribution curve; and according to the well drilling fitting polygons corresponding to the minimum value points with the set number, the gravity center of the fitting polygons is obtained, and the leakage points of the landfill are obtained. The detection method provided by the invention can adapt to landfills with different thicknesses and different structures, is particularly suitable for leakage detection of a thick-heap landfill, can effectively penetrate through a thick-layer landfill, and can accurately position damage of an underground impermeable layer.

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 relates to the technical field of geophysical exploration, in particular to an along-curved-surface gravitational field inversion method and device based on a target layer, and the method comprises the steps: taking a target layer curved surface of a target region as a constraint, peeling off a shallow-layer residual gravity anomaly field in a Bouguer gravity anomaly field of the target region layer by layer, and subtracting a region gravity anomaly field below the target layer to obtain a gravity anomaly field; obtaining a residual gravity anomaly field of the target layer curved surface; and in combination with the fluctuation degree of the curved surface of the target layer, performing inversion on the residual gravity anomaly field of the curved surface of the target layer by using deconvolution to obtain a density superposition field of the curved surface of the target layer. According to the method, a new along-curved-surface gravity field inversion method is established, depth parameters of a target layer curved surface are considered during inversion calculation, interference signal influences are eliminated, a density field signal along the curved surface is obtained, a density superposition field of the target layer curved surface is obtained, and an oil-gas-water enrichment area is depicted for follow-up density change interface prediction and oil-gas-water enrichment area depicting. And a basis is provided for providing reference suggestions for well position deployment and production regulation and control.

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 method for describing remaining oil based on well-seismic combination pre-stack inversion, and belongs to the technical field of inter-well reservoir oil quantity prediction. The pre-stack geostatistical inversion and the pre-stack joint inversion fusing the prior geological information have good consistency in the transverse trend, the inversion result accords with the deposition law macroscopically, the actual drilling data is respected at the well point, and the reservoir deposition characteristics are reflected more objectively and truly; the pre-stack geostatistics inversion effectively fuses logging high-frequency information, the longitudinal recognition capability is greatly improved, and the inversion result can accurately describe the spatial distribution of the oil-containing sand body; according to the actual inversion effect, the cross section transverse comparison shows that the inter-well transition is natural, and the spatial distribution characteristics of the sand body conform to the deposition law; and according to pre-stack inversion and remaining oil research results, well pattern analysis is carried out according to a supplementary well design principle, the sandstone thickness and the oil-water well communication condition in the potential area are evaluated, and well position design is optimized.