14 results about "Petrophysical analysis" patented technology

The invention discloses a method for constructing a three-dimensional digital core model of irregular concave-convex particles, and the method comprises the following steps: S1, generating regular small balls with the same radius distribution based on the radius distribution and shape characteristics of actual rock particles; s2, constructing a single particle with an irregular concave-convex shape based on a single regular small ball; s3, by setting modeling parameters of different regular small balls, on the basis of a construction method of a single particle with an irregular concave-convex shape, constructing a plurality of irregular concave-convex particles by the regular small balls with different sizes; and S4, simulating deposition and compaction diagenesis processes of a plurality of irregular concave-convex particles in a three-dimensional space to obtain digital core models with different pore structures. The modeling principle and process have the advantages of being easy to understand, controllable in concave-convex shape, diverse in result and the like, and a model foundation is laid for oil and gas reservoir rock physical analysis and modeling work.

The application discloses a kind of three-dimensional seismic forward modeling methods and systems for carbonate karst cave reservoir, belong to the field of oil and gas exploration seismic forward modeling.The method of fusing the three-dimensional P-wave velocity body of the carved-out karst cave reservoir quantitatively into seismic interval velocity establishes three-dimensional seismic forward modeling P-wave velocity model for karst cave reservoir, and the method of carrying out seismic forward modeling based on the model;In the process of three-dimensional seismic forward modeling for carbonate karst cave reservoir, the seismic inversion P-wave impedance body after carving by well logging petrophysical analysis is introduced into the process of establishing P-wave velocity model for the first time, so that the established karst model is more in line with geological understanding and actual situation, and the established seismic forward modeling P-wave velocity model is more accurate.The three-dimensional seismic forward modeling P-wave velocity model of carbonate karst cave reservoir obtained by the application can more truly represent the shape and size of actual carbonate karst cave reservoir compared with the model made by other traditional methods.

Disclosed are methods, systems, and computer programs for generating petrophysical analysis data. The methods include: accessing first porosity data and first well log data associated with an NMR well; randomly selecting data elements comprised in the first porosity data and the first well log data; developing, based on the randomly selected first porosity data and first well log data, a learning data structure; generating, based on the learning data structure, a machine learning model; receiving second well log data using sensor(s) deployed about a non-NMR well; adapting, based on the second well log data, variable input parameters of the machine learning model to generate second porosity data; and formatting the second porosity data to generate petrophysical analysis data. The petrophysical analysis data indicates one or more of: a petrophysical characterization of a rock type; flow dynamic data of a carbonate reservoir; well test or perforation zone data; and pore data.

The invention discloses a longitudinal and transverse wave VSP-based segmented amplitude attenuation factor calculation method and system and a medium, and relates to the technical field of geophysical exploration and rock physics analys.The method is improved on the basis of a traditional amplitude attenuation factor calculation method, a segmented geologic model of a target area is constructed based on a strong reflection interface, longitudinal wave and transverse wave zero offset VSP data is utilized, and the seismic data of the target area is calculated. The geological amplitude attenuation factor of each layer section of the layered medium is obtained through longitudinal and transverse wave joint inversion and segmented quantification, accurate compensation of stratum amplitude attenuation under strong reflection shielding of a coal seam, a volcanic rock layer and the like is achieved, and more reliable parameters are provided for solving the problems of data distortion and the like caused by shielding effects below strong reflection in ground seismic data processing. The obtained amplitude attenuation factor can be directly used for guiding fidelity processing and high-resolution imaging of ground seismic data, and signal recovery and imaging quality of deep and hidden reservoirs are remarkably improved, so that a more reliable geophysical basis is provided for subsequent fine description of the reservoirs and fluid detection.

The invention discloses a thin mutual reservoir sand-to-ground ratio calculation and correction method, electronic equipment and a storage medium. The method comprises the steps that sensitive parameters of a thin sand body reservoir are determined through reservoir rock physical analysis; high-resolution reservoir inversion is carried out, and reservoir sensitive parameter layer section attributes needing to be subjected to sand-to-ground ratio calculation are extracted; fine small layer division comparison is carried out, and the true thickness of each set of thin sand body corresponding to the actual drilling well is determined; performing rendezvous analysis on the real drilling well thin sand body true thickness and the reservoir sensitive parameters, and determining a value domain critical mean value of multiple sets of thin sand body reservoirs in the interval; calculating the sand-to-ground ratio of the thin mutual reservoir by utilizing the reservoir sensitive parameter layer section attributes and the critical mean value of the multiple sets of thin sand body reservoir value domains; calculating the actual drilling sand-to-ground ratio corresponding to the actual drilling well; and correcting the sand-to-ground ratio of the thin mutual reservoir by using the actual drilling sand-to-ground ratio to obtain a final corrected sand-to-ground ratio contour map of the thin mutual reservoir. According to the method, the precision of calculating and correcting the sand-to-ground ratio of the thin mutual reservoir can be improved, and reliable technical support is provided for guiding exploration and development of oil and gas reservoirs in the thin mutual reservoir area.

A drilling process method and system for drilling a well are described. The method includes performing a drilling operation through a downhole formation, the drilling operation generating drilling cuttings. A single drilling cutting sample is obtained at a location on the surface. An x-ray diffraction (XRD) and / or x-ray fluorescence (XRF) analysis is performed on the single drilling cutting sample. Elemental information and mineral information of the single drilling cutting sample is obtained from the XRF analysis about the downhole formation. At least one petrophysical property of the downhole formation is determined from the obtained information.

The application discloses a method for constructing a three-dimensional digital core model of irregular concave-convex particles, and comprises the following steps: S1, generating regular small balls with the same radius distribution based on the actual rock particle radius distribution and shape characteristics; S2, constructing a single particle with irregular concave-convex shape based on a single regular small ball; S3, constructing several regular small balls with different sizes into several irregular concave-convex particles by setting the modeling parameters of different regular small balls based on the construction method of the single particle with irregular concave-convex shape; and S4, simulating the deposition and compaction of the several irregular concave-convex particles in a three-dimensional space to obtain a digital core model with different pore structures. The modeling principle and process of the application have the advantages of easy understanding, controllable concave-convex shape, various results and the like, and lay a model foundation for carrying out oil and gas reservoir petrophysical analysis and modeling work.

This invention discloses a three-dimensional prediction method for tight sandstone permeability based on Bayesian optimized XGBoost and seismic waveform indicator inversion, belonging to the field of reservoir parameter prediction in geophysical exploration. The method first determines sensitive logging parameters through rock physical analysis and correlation optimization; then, it uses a Bayesian optimization framework to adaptively optimize the hyperparameters of the XGBoost model, establishing a high-precision prediction model. The trained model is applied to logging data from the wells to be predicted (M1 and M2), and the prediction results are consistent with the trend of the core data. The average permeability of the predicted segments are 0.025 mD and 0.076 mD, respectively, and the average permeability (MAE) is 0.001 mD and 0.019 mD, respectively, verifying the model's generalization ability. Finally, combined with seismic waveform indicator inversion technology, the model is extended to three-dimensional space to predict the permeability data volume. The overall consistency rate between the three-dimensional prediction results and the validation wells reaches 80%. This invention significantly improves the prediction accuracy and characterization capability of tight sandstone permeability from single wells to three-dimensional space.

The invention discloses a seismic lithogenous phase prediction method based on semi-supervised learning, and belongs to the technical field of seismic sedimentology. Analyzing main diagenesis types of compact sandstone at a target layer by comprehensively using analysis test data, rock physical experiment data, logging data and seismic data, establishing a diagenesis evolution sequence and a diagenesis phase division scheme, and determining rock core diagenesis phases; a logging curve sensitive to the lithogenous phase is screened out, and vertical distribution of the lithogenous phase on a single well is evaluated through logging; determining diagenetic phase sensitive seismic elastic parameters by means of rock physical analysis, correlation analysis and analysis of relation among diagenetic characteristics, mineral components and seismic elastic parameters; a semi-supervised learning neural network model based on an attention mechanism is created, a non-linear mapping relation between the rock core lithogenous phase and the sensitive seismic elastic parameters is established through semi-supervised learning, and a lithogenous phase comprehensive index data body is obtained; and carrying out phase and slice processing on the diagenesis phase comprehensive index data body, screening typical stratigraphic slices, and explaining seismic diagenesis phase space distribution.

The invention belongs to the technical field of geophysical interpretation, and discloses a volcanic rock seismic inversion method based on lithofacies constraint, an application, a device and a medium, and the method comprises the steps: obtaining a volcanic rock top and bottom reflection interface, carrying out the multi-attribute volcanic rock lithofacies depiction, and building a lithofacies frame model according with a geological law; meanwhile, the seismic inversion process is jointly constrained on the basis of a rock physical analysis result. The device and the computer readable storage medium according to the method can be applied to obtaining the reservoir thickness plane distribution prediction map, so that the volcanic rock seismic inversion result conforms to lithofacies characteristics, the accuracy of the inversion result is higher, and the method and the device are suitable for inversion of the volcanic rock reservoir and reservoir information analysis.

The invention discloses a sea area deep layer flat lake group sandstone reservoir-oriented gas-bearing prediction method and device, and the method comprises the steps: determining gas-bearing sensitive parameters of a reservoir in a research area through surface rock physical analysis, and determining a fluid factor expression; an elastic parameter body is obtained through pre-stack inversion, and a fluid factor expression is adopted for calculation to obtain a fluid factor data body; superposing the pre-stack gathers of the research area into a plurality of part angle superposition bodies, analyzing the frequency spectrum characteristics of a gas-bearing layer section, a water-bearing layer section and a non-reservoir layer section of a three-dimensional data body around a well of each part angle superposition body, and then performing frequency spectrum decomposition by adopting a high-precision matching pursuit algorithm; analyzing the high-frequency attenuation gradient attribute characteristics of the plurality of partial angle superposition bodies, and performing differentiation processing to obtain a final sensitive attenuation attribute body; and based on the fluid factor data volume and the sensitive attenuation attribute volume, carrying out comprehensive prediction on the gas-bearing property of the research area. According to the method, the multiplicity of solutions of gas-bearing prediction can be reduced, and the gas-bearing prediction precision is improved.

The invention discloses a thin beach reservoir gas-bearing prediction method and device based on optimization attributes, and the method comprises the steps: selecting a typical well in a work area, obtaining sensitive parameters representing a reservoir in a research area through the physical analysis of surface rocks, and constructing a reservoir indication factor; based on the characteristics of the sensitive parameters, selecting a corresponding inversion method to calculate a reservoir indicator factor data volume; superposing the pre-stack gathers into a plurality of partial angle superposition bodies, analyzing the frequency spectrum characteristic difference of the gas-bearing layer section and the non-gas-bearing layer section of the three-dimensional data body around the well of the partial angle superposition bodies, and then performing frequency spectrum decomposition to obtain the time-frequency spectrum of each partial angle superposition body; performing differentiation processing on the high-frequency attenuation gradient attributes of the minimum-angle superposition body and the maximum-angle superposition body to obtain a final sensitive attenuation attribute body; and by taking the reservoir indicator factor data volume as a constraint condition, optimizing the sensitivity attenuation attribute volume to form an optimized composite gas-bearing sensitive attribute volume. According to the method, the multiplicity of solutions of gas-bearing prediction can be effectively reduced, and the gas-bearing prediction precision is improved.

The application discloses a three-dimensional pore pressure prediction method and device based on rock physical analysis, a storage medium and a program, belongs to the technical field of oil and gas seismic exploration and drilling, and comprehensively uses logging data and three-dimensional seismic data to determine the content of each mineral component in different lithological strata by adopting a rock physical analysis method, so that a more accurate rock physical elastic modulus range is obtained, a precise data basis is provided for stratum pore pressure prediction, a high-precision pore pressure prediction data body is obtained, a reasonable drilling fluid density is designed, accidents such as blowout and lost circulation are reduced, and important data support is provided for safe and rapid drilling and completion.