187 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 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 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 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 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 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 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 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.

The invention provides a residual dessert positioning method and device for a tight sandstone oil and gas reservoir, and belongs to the field of petroleum and natural gas exploration and development, and the method comprises the steps: building a block three-dimensional geological model according to block two-dimensional seismic data; analyzing the block mountain-building movement to obtain mountain-building movement mechanical characteristic information corresponding to the large-batch reservoir natural fractures; single well geomechanics is analyzed, and rock mechanical behavior characteristic parameters are obtained; establishing a three-dimensional finite element model, and calculating a natural fracture damage mechanical value according to the three-dimensional finite element model to obtain natural fracture distribution data in the reservoir; comparing the natural fracture distribution data in the reservoir with the phenomenon embodied in the observation phenomenon; and superposing the well position distribution of the existing high-yield well and the natural fracture damage mechanical numerical distribution diagram to obtain the residual dessert position of the tight sandstone oil and gas reservoir. The method and the device for positioning the residual sweet spots of the tight sandstone oil and gas reservoir are high in accuracy and high in efficiency.

The invention relates to a well location collaborative deployment method based on a dynamic oil reservoir model and related equipment, and the method comprises the steps: obtaining a plurality of digital-analog models corresponding to a target oil and gas field and oil field related data, and carrying out historical fitting based on the digital-analog models and the oil field related data to obtain corresponding historical fitting data; establishing a linkage relationship between the digital-analog models, and obtaining a target area based on the historical fitting data and the linkage relationship; obtaining an initial well location based on the target area and generating a well trajectory corresponding to the initial well location to obtain new well information corresponding to the initial well location; and S4, generating a corresponding new well production system based on the new well information, and obtaining corresponding new well predicted productivity according to the new well production system and the historical fitting data, so as to obtain a corresponding well location deployment result by taking the new well information corresponding to the initial well location as target well location information when the new well predicted productivity meets a preset target. By implementing the method, the complexity of a well location collaborative deployment process can be reduced, and rapid well location collaborative deployment is realized.

The invention discloses a quantitative prediction method for water logging of a well section of an infilled horizontal well of an offshore water-drive oil field. The method comprises the following steps: S1, dividing a well spacing area of the horizontal well into a plurality of grids; s2, establishing a displacement pressure, gravity and buoyancy coupled flooding thickness quantitative prediction mathematical model, and drawing a waterline propulsion chart; s3, based on the waterline propelling condition, the remaining oil distribution coefficient of the well spacing area is calculated; s4, screening remaining oil gathering grids according to the remaining oil distribution coefficient, and quantitatively judging the water logging condition of the well section of the horizontal well; and S5, reevaluating the enrichment degree of the remaining oil, and further evaluating and determining the potential tapping grid of the horizontal well. According to the quantitative prediction method for flooding of the well section of the infilled horizontal well in the offshore water-drive oil field, three-dimensional representation of the flooding position and the flooding degree of the well section of the infilled horizontal well in a high-water-content oil reservoir can be achieved, the remaining oil enrichment area suitable for implementing the horizontal well can be accurately screened and evaluated, then well position deployment of the horizontal well is guided, and the infilled adjustment effect is improved.

The invention belongs to the technical field of oil-gas exploration and development, and provides a deep carbonate reservoir azimuth pre-stack depth domain earthquake prediction method and device, and the method comprises the steps: employing OVT domain pre-stack pre-stack depth domain trace gather data, combining with the stress distribution characteristics of a target region, generating sector azimuth pre-stack depth domain trace gather data, retaining azimuth anisotropy information, and obtaining a deep carbonate reservoir azimuth pre-stack depth domain earthquake prediction result. And optimal orientation sensitive attribute pairs and multi-transformation coefficient solving are carried out, the porosity of the deep carbonate reservoir is predicted, and deep carbonate reservoir prediction is completed. The method mainly comprises the following steps: generating a sector azimuth pre-stack depth migration gather; performing sector azimuth pre-stack depth domain gather seismic attribute processing; preferably selecting sensitive seismic attribute pairs; solving multiple equation coefficients; and calculating a reservoir porosity three-dimensional data volume, and completing earthquake prediction of a favorable reservoir. The method not only solves the problem of resolution reduction caused by high-frequency information loss of a time domain, but also facilitates characterization of anisotropy information of the reservoir, can predict the anisotropy thin reservoir, improves thin layer identification precision, and effectively guides well location deployment.

This invention belongs to the field of gas extraction technology, and particularly relates to a method for efficient gas extraction through long-distance mining-induced pressure relief and pre-fracturing collaboration. This invention divides and calculates the "three zones" formed by mining-induced pressure relief, identifies the collaboration between mining-induced pressure relief and pre-fracturing in conjunction with the hydraulic fracturing fracture propagation law, optimizes the design of horizontal well locations and depths, determines the fracturing process and optimizes perforation fracturing parameters, and uses microseismic fracture monitoring and evaluation technology for real-time monitoring of hydraulic fracturing during the fracturing process. By combining the "three zones" generated by mining-induced pressure relief with segmented horizontal well fracturing, regional pressure relief is achieved, resulting in the effect of "extracting multiple layers from one layer."

The invention discloses a complex reservoir gas-bearing prediction method and device, electronic equipment and a medium. The method comprises the following steps: constructing a low-frequency velocity model based on seismic division; performing convolutional coding and decoding of the seismic data according to the unsupervised closed-loop convolutional network to obtain sparse representation of the seismic data; and based on the semi-supervised closed-loop convolutional network, intelligent inversion of sensitive parameters of the deep reservoir is carried out, and reservoir gas-bearing prediction is realized. According to the method, fluid prediction under the condition of few wells is realized, the method is a demand for complex reservoir exploration situation and a key step for well position arrangement, and the method is of great significance to complex reservoir fluid prediction and subsequent treatment.

The present application relates to the field of geophysical exploration technology, and particularly relates to a method for well leakage early warning by using seismic prediction results, comprising: basic data acquisition, regional geological condition analysis, seismic data preprocessing, small fracture and fracture-vug body seismic fine delineation, and shadow relief display of the delineation result. The present application improves the basic data quality by introducing anisotropic diffusion and three-dimensional multi-level median joint filtering technology, and carries out multi-attribute fusion based on adjustable parameters by combining pre-stack multi-azimuth frequency attenuation gradient fracture prediction and post-stack structural coherent tensor, finally realizes spatial display of the multi-attribute fusion result by using shadow relief technology, improves the accuracy of small fracture and fracture-vug body delineation, and more directly shows the spatial form of the fracture and fracture-vug body, which can effectively guide well location design, drilling design and drilling trajectory optimization.

The application provides a micro-geomorphology delineation method and device, the micro-geomorphology delineation method provided by the embodiment comprises the following steps: calibrating a drilled well according to geological information and seismic data of the drilled well to obtain a calibration result; determining structural interpretation of an oil and gas reservoir according to the calibration result; processing the structural interpretation by using a trend surface analysis method to determine a structural trend; and determining a structural abnormal point according to the structural interpretation and the structural trend, wherein the structural abnormal point is used to represent micro-geomorphology. Through the micro-geomorphology delineation method provided by the embodiment, the distribution characteristics of the reservoir can be finely described, thereby providing a favorable basis for well site optimization and sidetracking of a failure-low-efficiency well.

The present application relates to a method for predicting pre-drilling stratigraphic profile based on multi-algorithm interpolation of well logging curves, comprising: predicting the top / bottom and thickness of each layer of the target well based on stratified data; aligning the normalized depth within the layer; predicting multiple well logging curves by using multi-algorithm (at least IDW and Kriging) interpolation; correcting the proximity and mapping the depth based on the well deviation trajectory; outputting the multi-depth reference predicted curve and the stratigraphic position QC result. Further comprising lithology profile prediction: obtaining the classification probability by using stratified supervised classification, and fusing the spatial prior probability obtained based on the lithology of adjacent wells and distance weight to output the lithology interval of the target well and the profile comparison chart. This method comprehensively utilizes the well logging curves of adjacent drilled wells, stratigraphic position stratified data, well location and well deviation trajectory information, and under the unified depth reference, performs multi-algorithm horizontal interpolation prediction on multiple well logging curves of the target well, and further combines supervised learning and spatial prior to realize lithology profile prediction, and outputs the stratigraphic profile results which can be used for pre-drilling decision and well location deployment.