437 results about "Carbonate rock" patented technology

The invention belongs to the technical field of carbonate rock oil-gas exploration, and particularly discloses a complex carbonate rock logging lithology identification method based on a diffusion model, and the method comprises the following steps: determining the lithology types of a plurality of observation wells based on the on-site rock core observation and slice analysis, and synchronously obtaining the logging data of the corresponding observation wells, constructing a lithology training data set in combination with a depth corresponding relationship between the lithology category and the logging data; a diffusion model is adopted to generate and supplement lithology categories with insufficient samples; logging data is adopted as an input feature, the lithology category is adopted as an output label, and a convolutional neural network fused with a Bayesian optimization algorithm and a Transformer hybrid model are utilized to train a lithology identification model; and inputting to-be-identified logging data into the trained lithology identification model, and outputting a lithology identification result. According to the method, high-precision lithology identification can be realized under the conditions of deep layers and complex stratums.

This invention discloses a method for indicating the degree of pyrite development in carbonate reservoirs, belonging to the field of geological exploration technology. Its key features include the following steps: a) selecting sensitive parameters to distinguish pyrite development based on the well logging response characteristics of pyrite-developed strata; b) establishing trend lines for the variation of sensitive parameters in formations with no or low pyrite content using these sensitive parameters; c) constructing trend lines for the variation of sensitive parameters with pyrite content based on strata data from key wells with different pyrite contents; d) identifying pyrite-enriched strata in the wells to be identified based on the intersection indications of the sensitive parameters; e) evaluating the degree of pyrite development in the pyrite-enriched strata by assessing the degree of difference in the intersection of sensitive parameters. This invention achieves the identification of pyrite-enriched strata through resistivity and sonic transit time intersection, enabling rapid and accurate identification of the degree of pyrite development in carbonate reservoirs.

The invention discloses a salt lake carbonate rock multi-parameter quantitative classification and reservoir evaluation method, and relates to the technical field of oil-gas exploration. The method comprises the following steps: selecting a key well in an exploration block, collecting a plurality of salt lake carbonate rock samples, preparing an analysis sample under an anhydrous condition, quantitatively measuring a salinity parameter, a mixing index and a diagenesis strength parameter by utilizing the analysis sample, and determining a salinity code, a mixing code and a diagenesis phase code. And naming the salt lake carbonate rock based on the salinity code, the mixed product code and the lithogenous phase code, directly evaluating the salt lake carbonate rock reservoir according to a naming result, and performing single well comprehensive evaluation on the salt lake carbonate rock reservoir. According to the method, the influence of salinity, mixed accumulation and diagenesis strength on formation and evolution of the salt lake carbonate rocks is fully considered, accurate division of the types of the salt lake carbonate rocks is achieved, the reservoir naming result is directly associated with reservoir evaluation, and technical support is provided for standardized evaluation of the salt lake carbonate reservoir.

The invention provides a double-criterion active learning carbonate rock lithology classification method and system. The method comprises the steps of obtaining conventional logging information of multiple wells; in the data preprocessing step, a logging curve is intercepted into sample segments, and data are made to conform to the input shape of the model; building a hybrid model Bi-LSTM-DANN combining a bidirectional long-short term memory neural network and a domain adversarial neural network, and inputting the intercepted samples into the network; domain adversarial pre-training: defining a loss function to determine hyper-parameters and training the network to obtain a pre-training model; the active learning fine tuning adopts a dual-criterion active learning method combining KMeans and a minimum confidence method, and the network is further fine-tuned to obtain a final model; and testing and applying the model. According to the method, two sample query strategies are fused, so that the prediction performance of the model is greatly improved; the performance of the model is further improved through domain confrontation, accurate identification of the lithology of the carbonate rock is achieved, and the system has good mobility and robustness.

The invention provides an earthquake quantitative prediction method for the compaction effect intensity of carbonate rocks, and the method comprises the following steps: (1) carrying out the statistics and analysis of logging data and core analysis data of a compacted stratum in a to-be-analyzed region, and building a fitting relation between the apparent compaction rate and the longitudinal wave speed; (2) performing phase-control frequency-division inversion in combination with the seismic response characteristics, and then calculating and analyzing the actual longitudinal wave speed of the to-be-analyzed region; and (3) determining the distribution of the apparent compaction rate according to the fitting relation between the apparent compaction rate and the longitudinal wave speed obtained in the step (1) and the actual longitudinal wave speed obtained in the step (2). According to the carbonate rock diagenesis strength earthquake prediction method based on the apparent compaction rate, the problem that quantitative prediction of the carbonate rock compaction strength is difficult is solved, the distribution characteristics of different compaction strength in space are defined, and the exploration and development success rate can be improved.

A carbonate rock rough slit acid liquid mass transfer coefficient calculation method comprises the following steps: 1) setting conditions based on carbonate rock rough morphology, and constructing a diffusion boundary layer thickness equation under the rough morphology conditions; and 2) solving to obtain the thickness of the diffusion boundary layer, and calculating the mass transfer coefficient according to the relational expression between the thickness of the diffusion boundary layer and the mass transfer coefficient. The carbonate rock rough slit acid liquid mass transfer coefficient calculation method is provided by considering rough morphology influence, no slippage of the acid liquid and filtration loss, and compared with a plane assumption condition in the prior art, the method is more consistent with a real condition, and the coincidence degree with an experimental test result is higher.

The invention provides a prospecting method for a brine type lithium-potassium-boron ore deposit in a foreland basin carbonate rock stratum. The prospecting method comprises the steps that the type of a metallogenic potential structure unit is determined; determining a mineralization brine supply potential source type; determining the type of a favorable metallogenic structure unit; calculating a construction unit comprehensive evaluation coefficient, and screening favorable exploration construction units; carrying out metallogenic brine carbonate reservoir analysis on the favorable exploration structure unit, and delineating a favorable exploration target area; and performing drilling verification on the favorable exploration target area, and evaluating the economic value of the favorable exploration target area. According to the method, multi-level prospecting prediction from full-basin-scale optimal construction units to local target area fine evaluation is realized, and the exploration efficiency and the success rate of the brine type lithium potassium boron deposit are remarkably improved.

A method for recognizing a dominant carbonate rock reservoir in a complex facies zone, comprising: determining a lithologic type and lithologic physical properties of a study section (S100); carving out a development pattern configuration of a special geologic body in the lithologic type (S200); on the basis of the development pattern configuration, using an iterative modeling method to construct an inversion low-frequency model under a phase controlled constraint (S300); using the inversion low-frequency model to perform multi-parameter pre-stack inversion of the study section to obtain an inversion parameter data volume of the study section (S400); and using a multi-parameter intersection method to predict a dominant reservoir distribution in the inversion parameter data volume (S500). Also provided are an apparatus for recognizing a dominant carbonate rock reservoir in a complex facies zone, and an electronic device. By means of the phase controlled constraint, a configuration attribute representing geomorphic facies and lithologic inversion representing lithologic facies are comprehensively considered, and the attribute lateral resolution and the inversion longitudinal resolution are combined, thereby achieving high-precision recognition of a dominant carbonate rock reservoir in a complex facies zone.

The invention provides a method for constructing a geoelectric structure prediction model based on time-frequency electromagnetism, and belongs to the field of oil exploration. The method comprises the following steps: firstly, establishing an initial reservoir model based on a model-driven geophysical inversion process; then geophysical data and a corresponding reservoir model data set are collected, classified and standardized, and construction of the data set is completed; establishing a reservoir geoelectric structure prediction model based on the deep learning model; and finally training the reservoir geoelectric structure prediction model by using the data set to obtain an optimized reservoir geoelectric structure prediction model. Wherein the reservoir comprises an ultra-deep carbonate rock reservoir; the invention further provides a method for constructing the model for predicting the geoelectric structure of the ultra-deep carbonate reservoir. Compared with the prior art, according to the geoelectric structure prediction model constructed by the method, when observation data is input, an inversion result can be obtained without executing an iteration process, and the reservoir oil-water relationship can be further analyzed according to the inversion result.

The invention relates to an identification method and system for a hydrothermal alteration zone in carbonate rock construction, and belongs to the field of remote sensing geological prospecting, and the identification method comprises the steps: obtaining and preprocessing a spaceflight hyperspectral remote sensing image of a to-be-identified region, and obtaining surface reflectance data; mineral component analysis is carried out based on the surface reflectance data, carbonate mineral dominant pixels are marked, and a binary mask array after assignment is generated; extracting hydrothermal alteration information and generating an information intensity array according to the assigned binary mask array; performing binarization processing on the information intensity array according to a preset threshold value to generate a binary logic array; and converting the binary logic array into a geographic space vector area file based on an original image geographic coordinate system, and taking the geographic space vector area file as a hydrothermal alteration zone identification result. According to the method, rapid and accurate identification of the hydrothermal alteration zone in the carbonate rock area can be facilitated.

The invention relates to the technical field of petroleum geology experiments, in particular to an experimental simulation and quantitative evaluation method suitable for collaborative evolution of carbonate rock apertures. The method comprises the steps that paleo-temperature, paleo-confining pressure, paleo-axial pressure and paleo-pore pressure evolution paths of a target reservoir are obtained through geological process inversion and converted into experiment loading parameters; preparing a plurality of parallel samples and carrying out initial state multi-scale characterization; in the high-temperature and high-pressure triaxial experiment system, the same temperature-pressure cooperative loading path is applied to the samples under different pore pressure working conditions; carrying out fine comparison analysis on the sample after the experiment; and finally, establishing a reservoir quality evaluation chart by calculating original parameters such as a compaction resistance coefficient, a pore-crack synergistic interaction index and crack communication efficiency. The problems that a traditional experiment is disjointed with the geological process, and multi-field coupling simulation is insufficient are solved, and accurate revelation and quantitative evaluation of the ultra-deep carbonate rock aperture co-evolution mechanism are achieved.

The invention discloses a carbonate rock pore retention mechanism simulation method under an ultra-deep heat-fluid-solid coupling effect, and relates to the technical field of rock physics. The method comprises the following steps: preparing a carbonate rock sample, obtaining a CT scanning slice image of the carbonate rock sample, extracting three-dimensional pore information, preparing a plunger sample in a laboratory, carrying out a quasi-triaxial experiment, calibrating mesoscopic parameters by using a laboratory test result, constructing a carbonate rock model, and arranging a measuring ball in the carbonate rock model, the method comprises the following steps: dynamically monitoring the change of porosity and pore pressure, determining a strength reduction function of carbonate rock through a laboratory experiment, applying a true triaxial compression servo environment in which a temperature field and a stress field cooperatively change to a carbonate rock model, and performing true triaxial experiment numerical simulation by using the carbonate rock model. The internal pore condition of the carbonate rock in each evolution stage is obtained, the pore retention mechanism of the carbonate rock under the ultra-deep heat-fluid-solid coupling effect is determined, and technical support is provided for research of carbonate rock reservoirs.

An apparatus for extracting and utilizing noble gases from carbonate rock includes a container body. A gas-solid separation assembly defines filter pores, and a diameter of each filter pore is micrometer-scale. A mechanical crushing assembly is disposed at a bottom of the gas-solid separation assembly, and is configured to crush a carbonate-rock sample until particles each have a size on the order of micrometers or larger. The gas-solid separation assembly is elastic. The particle deposition device is disposed inside a crushing chamber. The particle deposition device includes connecting ropes and spheres. The connecting ropes are fixed to an inner wall of the crushing chamber, and the spheres are fixed to the connecting ropes. This apparatus not only avoids the generation of large quantities of impurity components, but also separates solid carbonate-rock sample particles from the noble gases, enabling effective extraction of the noble gases from the carbonate-rock sample for utilization.

The invention provides a quantitative water-rock reaction experimental device and experimental method. By adopting the quantitative water-rock reaction experimental device provided by the invention and implementing the quantitative water-rock reaction experimental method provided by the invention, quantitative and qualitative simulation and real-time online monitoring, recording and storage can be carried out on the interreaction process from a deep stratum to surface stratum fluid and surrounding rock; effective means and methods are provided for exploring the deep carbonate reservoir formation mechanism and predicting the deep carbonate reservoir formation mechanism, and the method is suitable for application and popularization.

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.

The invention relates to a method for predicting fracture development laws of carbonate rocks with different lithologies, which comprises the following steps of: performing lithology division on a target layer of a research area, and analyzing fracture development characteristics with different lithologies; simulating fracture development conditions of different lithology under different confining pressures in different burial depth environments of the research area through a rock compression experiment to obtain fracture development laws of different lithology; identifying the lithology of each single well in the research area by using a well logging curve under core calibration to obtain a lithology interpretation result of each single well; the fracture development rules of different lithology are matched with the lithology interpretation result of each single well, and the fracture development condition of each single well target layer in the research area is obtained; and predicting the fracture development condition of the target stratum of the research area by utilizing a three-dimensional geologic modeling method according to the interpretation results of different lithology of the target stratum of each single well and the fracture development condition. According to the method, multiple means of actual petrology observation, indoor rock core experiments, well logging interpretation and three-dimensional modeling are combined, the development laws of carbonate rock fractures of different lithology on the ground and underground can be accurately predicted, a fractured reservoir development area can be found easily, and a reliable basis is provided for exploration deployment.

An intelligent simulation apparatus for monitoring fluid-rock dissolution of carbonate rocks using a temperature controller is provided, including a reactor internally provided with a thermal insulation layer and a working chamber. A front side surface of the reactor is provided with a temperature controller. The working chamber is internally provided with an L-shaped liquid-gas accommodating chamber, a first reaction chamber, a heating chamber and a second reaction chamber. The L-shaped liquid-gas accommodating chamber is internally provided with a temperature sensor and a pressure sensor, which are electrically connected to the temperature controller. The heating chamber is internally provided with a heating wire. Two sides of each of the first reaction chamber and the second reaction chamber are slidably provided with a core holder for holding carbonate rock samples.

This invention provides a method and related equipment for inverting the pore structure of carbonate rocks, relating to the field of geological exploration technology. The method includes acquiring test data, and using a trained deep learning prediction model with a Bayesian estimation algorithm to invert the pore structure based on the test data, thereby obtaining pore structure prediction results. The deep learning prediction model includes a Bayesian convolutional neural network layer. According to the above technical solution, test data is input into the trained deep learning prediction model, and the Bayesian estimation algorithm is used to invert the pore structure, obtaining pore structure prediction results, including confidence intervals for pore structure parameters. This not only quantifies the uncertainty of the prediction results, thereby expressing the uncertainty and obtaining confidence intervals, but also effectively improves prediction accuracy, i.e., improves the accuracy of the pore structure prediction results. It has great application potential in the field of data-driven pore structure prediction, facilitating better decision support.

The invention discloses a fracture-vug stratum well wall rock mechanical parameter prediction method based on well drilling chipping rock hardness in the fields of geomechanics, oil and gas well engineering and petroleum and natural gas exploitation. The method comprises the following steps: (1) well drilling chipping rock pretreatment and hardness testing; (2) constructing a quantitative relationship between rock skeleton mechanical parameters and hardness based on a homogeneous isotropic numerical model; (3) extracting stratum fracture-cavity structure characteristic parameters, and constructing fracture-cavity development rock numerical models of different sizes; (4) performing numerical simulation to calculate rock mechanical parameters of the fracture-vug development rock numerical models of different sizes; (5) well wall rock mechanical parameters of the fracture-cavity stratum are obtained through calculation; the invention provides a brand new theory and method for predicting and evaluating the mechanical parameters of the well wall rock of the complex structure stratum, and has important significance on safe drilling, efficient fracturing and the like of unconventional oil and gas resources such as deep and ultra-deep oil and gas, especially deep shale oil and gas of fracture-cavity development, deep complex carbonate rock oil and gas and the like.

The invention belongs to the technical field of oil and gas field development, and provides a carbonate reservoir permeability calculation method, system and device and a storage medium, and the method comprises the steps: dividing T2 spectrum distribution of different pore structure components based on a nuclear magnetic logging T2 spectrum distribution curve; establishing a corresponding relation between T2 spectrum distribution of different pore structure components and core analysis permeability data based on a graph clustering analysis method; and calculating the permeability of the whole well section of the target layer well logging based on the corresponding relation. According to the method, the permeability of the fractured-vuggy reservoir is accurately estimated and solved by establishing the contribution relation of the fractured-vuggy reservoir with different pore structures to the permeability.

The application discloses a method and system for storing carbon dioxide based on carbonate rock depleted reservoirs, the method selects a target injection well by collecting relevant data of depleted oil and gas fields, drills a monitoring well around the injection well, continuously injects a carbon dioxide saturated solution into the injection well to form a cavity under a first injection pressure, and realizes the storage of liquefied carbon dioxide under an injection pressure of 10-15 MPa after the solution in the bottom cavity is squeezed out by injecting carbon dioxide gas into the injection well under a second injection pressure, and continuously measures the monitoring. The application provides a new idea for carbon dioxide storage technology, can generate certain economic value, and improves the safety of storage.

The invention discloses a carbonate rock pore type prediction method and device based on deep learning, and the method comprises the steps: obtaining training well data, building a sample data set, and constructing a CNN network model; inputting the training sample data set into the CNN network model to obtain a logging interpretation result, and dynamically adjusting parameters of the CNN network model, so that the calculation efficiency and prediction precision of the network model are higher; and obtaining the velocity and density of longitudinal and transverse waves of a test well, inputting the velocity and density into the trained CNN network model for inversion, and obtaining a prediction result of the pore type of the carbonate reservoir of the test well. And in combination with the trained CNN network model and the elastic parameters of the pre-stack seismic inversion, obtaining the spatial distribution characteristics of the multiple pore types. According to the method, data testing and learning network structure optimization are carried out on the basis of logging data in combination with a CNN (convolutional neural network) deep learning network, the learning network structure is applied to elastic parameters of pre-stack seismic inversion, and high-precision and stable quantitative characterization of spatial distribution of multiple pore types of the carbonate reservoir is realized.

The invention provides a method for designing flow regulation parameters of a carbonate reservoir, and belongs to the technical field of oil and gas reservoir development. The method comprises the steps of establishing a three-dimensional geologic model of a target oil reservoir, establishing a three-dimensional numerical model of a well group, determining the action range of the three-dimensional numerical model of a plugging agent, establishing a flow regulation channel equivalent numerical simulation model of the well group, and designing flow regulation parameters of the target oil reservoir. The method comprises the steps of obtaining a flow regulation parameter optimization basic scheme library of a target oil reservoir and screening carbonate rock salt oil reservoir flow regulation parameters under the flow regulation parameter optimization basic scheme library. Systematic demonstration and quantification of specific parameters are carried out for different flow regulation modes, flow regulation parameters can be efficiently optimized, and the method has a better effect of guiding flow regulation work in actual production.

The application discloses a carbonate rock lithology identification method and application thereof and relates to the technical field of lithology identification. The application comprises the following steps: S1: acquiring the well diameter expansion rate and the resistivity reduction range of the carbonate rock limestone, the dolomitic limestone and the dolomitic limestone section, and establishing a lithology identification chart by taking the well diameter expansion rate and the resistivity reduction range as coordinates; and S2: identifying the lithology of a detection well by using the lithology identification chart obtained in the step S1 and conventional logging data. The lithology identification method is simple, convenient and high in accuracy, can be used as a guide for carbonate rock new well logging interpretation and completion scheme, and further achieves the purpose of accurately transforming a reservoir, effectively avoids invalid schemes, and provides better support for a carbonate rock new well completion scheme.

The invention relates to the technical field of carbonate rock detection, and discloses an environment control device for simulating carbonate rock weathering under freeze-thaw cycle, which comprises an environment simulation cabinet, a water tank is fixedly mounted in the control cabinet, a water pump is fixedly mounted in the water tank, and the output end of the water pump is fixedly connected with a valve. The valve is connected with a spraying mechanism and an atomizing mechanism, a partition plate is fixedly connected to the interior of the environment simulation cabinet, a machine box is fixedly connected to the outer wall of the partition plate, a fan is fixedly installed in the machine box, and a refrigerating machine and a heating pipe are fixedly installed on the outer wall of the partition plate. By integrating core components such as a spraying mechanism, an atomizing mechanism, a refrigerating machine, a heating pipe and a fan, freezing and thawing circulation can be reproduced, complex natural conditions such as rain wash, high-humidity foggy days and natural wind power can be simulated, various weathering scenes of carbonate rocks in the natural environment are comprehensively covered, and an experimental platform which is more practical is provided for research of a weathering mechanism.

The invention discloses a quantitative analysis method for ardealite leachate-carbonate rock fracture corrosion effect, and belongs to the technical field of material analysis. The quantitative analysis method for the ardealite leachate-carbonate rock fracture corrosion effect comprises the following steps: preparing a carbonate sample; preparing ardealite leachate; mounting the sample in a seepage device in a sealing manner, pouring the leachate into the seepage device, and carrying out a seepage test; performing CT scanning on the sample before and after corrosion to obtain a two-dimensional section slice image of the sample, and preprocessing the slice image based on a gray value and threshold segmentation method; and performing three-dimensional digital reconstruction on the preprocessed CT slice data, and calculating pore structure parameters, fracture structure parameters, fractal dimensions and permeability of the sample to complete quantitative analysis. By adopting the quantitative analysis method for the ardealite leachate-carbonate rock fracture corrosion effect, the problem of low analysis accuracy of the ardealite leachate corrosion effect by an existing analysis method can be solved.

The invention discloses a fractured-vuggy reservoir comprehensive prediction method and device based on diffracted wave seismic attributes, electronic equipment and a storage medium. The method comprises the following steps: carrying out diffracted wave separation on a first full-wave-field three-dimensional seismic data volume to obtain a first diffracted wave three-dimensional seismic data volume; performing inclination angle guided filtering on the two three-dimensional seismic data volumes to obtain a second full-wave-field three-dimensional seismic data volume and a second diffracted wave three-dimensional seismic data volume, extracting full-wave-field coherent attributes, and solving a full-wave-field amplitude envelope and a diffracted wave amplitude envelope; carrying out ant tracking on the two amplitude envelopes to obtain a full-wave-field ant body and a diffracted wave ant body; and based on the full-wave-field coherent attributes, the two amplitude envelopes and the two ant bodies, fracture-cavity identification and fracture comprehensive prediction are carried out. According to the method, fracture-cavity identification and fracture crack comprehensive prediction are carried out by using the diffracted wave amplitude envelope body and the diffracted wave ant body, and the prediction precision of the carbonate rock fracture-cavity reservoir is improved.

The application discloses a method for monitoring carbon sink in non-carbonate rock area by using carbonate rock powder, and relates to the technical field of carbon sink monitoring. The method for monitoring carbon sink in non-carbonate rock area by using carbonate rock powder realizes real-time monitoring and storage of carbon sink data in non-carbonate rock area, and ensures the continuity and integrity of the data. Based on multivariate regression analysis, the soil and vegetation carbon sink characteristics of the non-carbonate rock area are evaluated, the soil carbon sink index and the vegetation carbon sink index are obtained, and the overall carbon sink index is evaluated. By using the carbon sink index data, a probability distribution model is fitted, the critical value of the natural fluctuation range of the carbon sink index is identified, and the threshold range of the carbon sink index is determined. The linear relationship between the mesh number of the carbonate rock powder and the soil carbon sequestration rate is analyzed by using a linear regression model, and a carbon sink linear regression model is constructed. When the carbon sink index is lower than the threshold range, the application amount and frequency of the carbonate rock powder are dynamically adjusted according to the carbon sink linear regression model, and the carbon sink management is optimized.

This invention relates to the technical field of seismic data interpretation, and discloses a method and computer equipment for identifying the locations of beaded reflections in carbonate rocks. The identification method includes: S1, obtaining a two-dimensional seismic migration profile; S2, extracting typical beaded reflections, determining their dimensions, statistically analyzing their structural morphology, and constructing adaptive hit-and-miss structural element pairs; S3, using a hit-and-miss transformation to identify locations that match the adaptive hit-and-miss structural element pairs. This invention's identification method extracts multiple typical beaded reflections, constructs adaptive hit-and-miss structural element pairs, and only identifies locations that match these pairs. Based on a hit-and-miss transformation algorithm, this algorithm has low hardware requirements, high computational efficiency, and high accuracy.

The invention discloses a velocity modeling method based on three-dimensional angle gather omni-directional tomographic inversion, and relates to the technical field of omni-directional tomographic inversion, and the method comprises the steps: generating a three-dimensional common reflection angle gather through omni-directional pre-stack depth migration imaging, and the three-dimensional common reflection angle gather comprises the reflection angle, the azimuth angle, the depth and other information; based on a three-dimensional common reflection angle gather, through a two-dimensional plane wave method, residual delay of each grid point is automatically picked up by utilizing finite difference of a Poisson equation; and establishing an anisotropic ray travel time matrix equation set according to the residual delays of rays with different azimuth angles, and resolving the correction amount of each depth grid point medium to obtain a new depth domain velocity model. Therefore, by adopting the velocity modeling method based on the three-dimensional angle gather omni-directional tomography inversion, the precision of a small-scale geologic body velocity model, especially a karst body in carbonate rocks, is effectively improved.