14 results about "Tectonic model" patented technology

The invention belongs to the field of oil and gas field exploration and development, and discloses a numerical reservoir model optimization and history fitting method and related device.The method comprises the steps that firstly, geological exploration data are utilized, a spatial clustering algorithm is adopted to automatically determine the local updating range of a structural model, and structural layers and stratums are optimized through spatial interpolation; outputting an optimized construction model and uncertainty measurement; based on the model and logging lithofacies attribute data, adaptively identifying a lithofacies updating key area and variation function parameters by applying a machine learning algorithm, and performing lithofacies simulation to output an optimized lithofacies model; combining the porosity, permeability and saturation attribute data, adaptively determining an attribute optimization range and variation function parameters by adopting a probabilistic neural network, and outputting an optimized attribute model through phase control attribute modeling; a three-dimensional oil-water two-phase black oil seepage model is constructed, a global optimization algorithm is adopted to automatically adjust parameters based on a target function, simulation data is calculated until convergence, optimal parameters are output to complete historical fitting, and efficient and reliable intelligent support is provided for complex oil reservoir development.

This disclosure relates to the field of seismic exploration technology, and particularly to a method, equipment, and medium for depth domain velocity model analysis based on well-seismic co-processing. The method includes: extracting stratigraphic and fault information from seismic data to construct a three-dimensional depth domain structural model of the target three-dimensional work area; smoothing well logging velocities and extrapolating the smoothed well logging velocities across the entire work area based on the three-dimensional depth domain structural model; inverting an initial velocity model based on the three-dimensional depth domain structural model and the overall work area well logging velocity model; iterating the initial depth domain velocity model based on the structural properties of the three-dimensional depth domain structural model to obtain an isotropic depth domain velocity model; analyzing the anisotropic parameters and anisotropic velocities of the target three-dimensional work area, and iterating the isotropic velocity model based on the anisotropic parameters and anisotropic velocities to obtain the depth domain velocity model. This invention can improve the accuracy of depth domain velocity model analysis.

The present specification relates to the field of oil and gas field exploration and development, and particularly relates to a structure modeling method and device based on horizontal well layering. The method comprises: determining logging characteristics and logging identification marks of a straight well section according to logging data of the straight well section in a study area; determining layer-penetrating point information of a horizontal well according to logging curves of the horizontal well and comparing with the logging characteristics; constructing a well trajectory one section of the horizontal well according to seismic interpretation data and the logging identification marks; extracting corresponding isostatic elevation data of the layer-penetrating point on the well trajectory one section according to the logging identification marks; determining a correction amount according to the elevation of the layer-penetrating point and the isostatic elevation data; and correcting structure surfaces of each small layer according to the correction amount to obtain a structure model. The present scheme solves the problem that it is difficult to establish an accurate, reliable and fine structure model due to the small amount of small layer interface data in structure modeling of an oil and gas reservoir developed mainly by horizontal wells.

This invention belongs to the field of seismic exploration technology, specifically a near-surface node seismic exploration system and its data collaborative acquisition method; it includes miniaturized intelligent node units, adaptive mesh network base stations, and a cloud-based collaborative processing platform. Each node integrates a three-component sensor, a hybrid timing module, an edge computing unit, and a multimodal communication interface, employing an adaptive coupling mechanism to adapt to complex terrain. The acquisition method includes intelligent deployment planning, adaptive network construction, multimodal data acquisition, edge-cloud collaborative processing, and dynamic quality control. The nodes are buried shallowly below the surface, receiving reflected seismic wave signals from deep underground targets without being affected by the complex shallow surface strata above. The node units can also receive direct signals from ground-based seismic sources, used to calibrate and detect near-surface velocities and tectonic models. This invention offers advantages such as high density and low cost, high-precision synchronization across all scenarios, efficient data transmission, and multi-physics field fusion.

A method for improving the accuracy of shale gas reservoir structural models, belonging to the field of unconventional and new energy, includes: conducting detailed interpretation of seismic data to predict small-scale fault development; establishing a fault model through well-seismic integration; identifying feature points on the horizontal sections of completed horizontal wells and converting them into virtual wells; compiling planar maps of different sub-layer thicknesses based on regional geological research results, extracting sub-layer thickness data at virtual wells and converting it into variable-thickness virtual well stratification point data; interpreting structural information of structural surfaces, appraisal wells, and pilot wells using seismic data, and establishing a bedding model under the control of variable-thickness virtual wells at feature points of horizontal wells; inserting small bedding planes into the fault model and bedding model using variable-thickness virtual well stratification point data and sub-layer thickness planar maps to form a shale gas reservoir structural model. The shale gas reservoir structural model established by this invention is more refined and can accurately describe the structural changes and sub-layer thickness variations of underground reservoirs, significantly improving the accuracy of faults and sub-layer bedding planes.

The application provides a three-dimensional reservoir modeling method based on semantic rule guidance and multi-point geostatistics, relates to the geological field, and the method comprises the following steps: arranging strata in reverse order according to deposition time, iteratively executing a finite difference interpolation algorithm from the newest stratum, and taking the current stratum as a normal vector constraint of the next stratum; quantifying the constraint of fault kinematics on the surrounding deformation zone; under the support of an implicit structure model, adopting a two-dimensional parameter optimization strategy to dynamically configure the parameters of a fast sampling algorithm; adaptively matching the local structure features of a training image through a kernel function, and globally searching for an optimal combination in a grid; finally, taking a structural model as a spatial boundary constraint, performing collaborative simulation of lithofacies parameters, generating an attribute field according to the quantile sampling rule of Euclidean distance and Hamming distance, until all grid nodes are simulated and a three-dimensional reservoir model is output. The technical problem of collaborative fusion of multi-source heterogeneous data and geological semantic rules in a complex heterogeneous reservoir is effectively solved.

This invention provides a method for predicting source rocks in deep, well-free areas, comprising: constructing a stratigraphic velocity model; obtaining a three-dimensional stratigraphic structure image based on the stratigraphic velocity model and seismic data from the deep, well-free area, and performing seismic interpretation to determine the potential distribution range of source rocks; constructing a paleogeographic model based on the sedimentary facies and paleogeographic conditions of the deep, well-free area; constructing a tectonic model based on tectonic feature data; constructing a three-dimensional geological model based on the paleogeographic model, the tectonic model, and the stratigraphic data of the deep, well-free area; determining the distribution range of source rocks in the three-dimensional geological model; and overlaying the potential distribution area of ​​source rocks obtained from seismic analysis with the distribution range of source rocks obtained from the three-dimensional geological model to determine areas favorable for source rock distribution. By comprehensively utilizing seismic imaging and geological modeling methods, the accuracy of predicting the distribution of source rocks in deep, well-free areas is improved.

The application provides a wellbore stability prediction method, device and medium before drilling, and relates to the technical field of petroleum engineering, and comprises the following steps: obtaining a three-dimensional seismic data body and a seismic interval velocity of a to-be-drilled well area, well logging interpretation data of an adjacent well, and determining simulated well logging data of the to-be-drilled well; the adjacent well is a well adjacent to the to-be-drilled well; a fracture structure model of the to-be-drilled well area is established according to the simulated well logging data and the three-dimensional seismic data body; a formation pressure model, a rock mechanics attribute model and a ground stress model of the to-be-drilled well area are established based on the fracture structure model, the well logging interpretation data and the seismic interval velocity; a finite element model of the to-be-drilled well area is established according to the fracture structure model, the formation pressure model, the rock mechanics attribute model and the ground stress model; finite element forward modeling is carried out based on the finite element model to obtain a collapse pressure, so as to predict the wellbore stability of the to-be-drilled well. In this way, the influences of faults and fractures, ground stress and formation pressure on the wellbore stability are fully considered.

The present application relates to a kind of big platform horizontal well design method based on three-dimensional geological model, comprising: establishing structure model, establishing lithofacies model, establishing attribute model, determining the coordinate of multiple horizontal well wellsite, establishing design profile, first well trajectory design, big platform multi-well trajectory design.This big platform horizontal well deployment method provided by the present application is based on three-dimensional geological modeling, the accurate calculation of reference well elevation offset in three-dimensional model, the optimization of horizontal well trajectory in three-dimensional space, and the three-dimensional visualization of horizontal well design is realized.The lithology change, physical property change are considered at the same time, the coordinate of multiple wells is designed under a platform, multiple well trajectory design, when the first well is deployed on the platform, wellsite optimization can be carried out, when multiple wells are designed, reference adjacent well is drilled, and the basis of new well trajectory design is more sufficient.The problems of fast reservoir change of shale oil horizontal well, wellsite screening and horizontal well visualization trajectory design are effectively solved.

The application discloses a shale gas structural geological model correction method based on a wellbore trajectory and layered data, and comprises the following steps: constructing a stratum thickness model; obtaining small-layer apparent thickness plane data; establishing a passing mode of the wellbore trajectory in each small layer; calculating specific spatial positions of small-layer boundaries by the established passing mode of the wellbore trajectory in each small layer and in combination with the small-layer apparent thickness plane data; judging whether the spatial position result is continuous and smooth according to the calculated small-layer boundary spatial position result; and adjusting thickness data of the small-layer apparent thickness plane data and depth data of the specific spatial positions of the small-layer boundaries when the spatial position result is not smooth. The geological model correction method can better utilize horizontal well related information to quickly and efficiently process batch well data, thereby correcting seismic horizons, making the structural model well match the spatial position relationship of the horizontal well passing, and providing reliable data basis for the next attribute modeling and numerical simulation.

The application discloses a mine structure detection method based on a multi-parameter imaging technology, and belongs to the technical field of mine structure detection. The method comprises the following steps: S1, a laser scanning mode is used to scan and model the inner side of a mine tunnel, and an inner surface model of the mine is obtained; S2, the mine is divided into a plurality of groups, each group comprising sequentially arranged detection sections and prediction sections; S3, a collection device is arranged in the detection sections, and sound logging curves and density logging curves of the detection sections are obtained; S4, a geological model of the detection sections is constructed according to the information collected in step S3; S5, the prediction sections are sampled according to the geological models of adjacent detection sections, and the geological model is completed; and S6, a mine structure model is obtained according to the geological models of the detection sections and the prediction sections. According to the method, the inner surface model of the mine is established by the surface scanning mode, the inner surface model of the mine is filled correspondingly, and finally, the mine structure model is formed, and the parameter quantization of the mine model is realized.

The application discloses a kind of fracture-cave carbonate gas reservoir modeling methods, it is related to carbonate rock oil and gas geology and development technical field, solve the simple, lack of systematicness of existing fracture-cave modeling method;The simulation result of cave and fracture is not reasonable enough, and then it is difficult to be applied to guide gas field exploration and development and the like problem, the method of the present application establishes fine structure model comprehensively stratum correlation and seismic interpretation result.On the basis of the fine structure model, matrix attribute model, fracture model and cave model are established, and finally a dual medium model is constructed through the matrix attribute model, the fracture model and the cave model.The method of the present application establishes a fine geological model to depict the distribution space of the preferred reservoir based on the integration of the distribution patterns of matrix, fractures and caves. By analyzing the controlling factors of fractures and caves and establishing a fracture-cave model, more accurate decision-making basis can be provided for gas field development, and the exploration and development of gas fields can be guided.

This invention discloses a method and system for risk assessment of small geological structures in mining compliance areas based on multi-source data fusion, relating to the field of coal mine safety technology. The method includes: identifying various small geological structures based on multi-source geological data; extracting quantitative characteristic parameters of each type of small structure and calibrating its influence radius to construct a three-dimensional structural model; spatially fusing the quantitative characteristic parameters, real-time monitoring data, and numerical simulation data of various small geological structures based on the three-dimensional structural model and influence radius to generate a multi-parameter three-dimensional fused data field; calculating the spatial distribution overlap of key risk factors and identifying high-risk spatial units based on the three-dimensional fused data field; inputting the three-dimensional fused data field into a robust gradient boosting decision tree model to output dynamic risk levels and dynamic weights of each risk dimension; and generating targeted remediation measures based on the dynamic risk level, dynamic weights of each risk dimension, and small geological structure type. This achieves accurate positioning, dynamic assessment, and targeted remediation of small geological structure risks.

The application discloses a method and system for realizing integration of geological modeling and stress field simulation, and belongs to the technical field of geological exploration and development. The method comprises the following steps: project setting and data loading, seismic interpretation and attribute analysis, structural modeling, discrete fracture network modeling and stress field simulation. The application takes a three-dimensional structural model as a unified carrier, takes stratum boundaries, fracture distribution and stratum layering as basic constraints of mechanical modeling, realizes complete matching of a geological framework and a mechanical model grid and a spatial range, adopts a fracture distance constraint and a variogram hierarchical control coupling method, distinguishes a main fracture, a secondary fracture and a surrounding rock area, sets different interpolation rules, takes lithology and a tectonic deformation zone as partition constraints, and completes spatial simulation of mechanical parameters under geological recognition constraints. The structural model provides a spatial boundary for mechanical attribute modeling, and mechanical parameter inversion results feed back and correct the geological model, so that two-way data transmission and collaborative constraints are formed.