632 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 phosphogypsum leachate-carbonate rock dynamic corrosion reaction analysis method based on numerical simulation, and aims to research a migration-corrosion coupling mechanism of acid leachate in a carbonate rock fracture network. The method comprises the following steps: firstly, acquiring a two-dimensional image sequence of a rock core sample through CT (Computed Tomography) scanning, carrying out operations such as threshold segmentation, membrane enhancement and a light shading algorithm on an image by utilizing AVIZO software, extracting fracture structure parameters and establishing a high-precision three-dimensional model; then, multiple groups of simplified models with different fracture widths are constructed in COMSOL Multiphysics, a Darcy flow field and a solute concentration field are coupled on the basis of the Darcy law and a dilute matter transfer theory, and the dynamic corrosion effect under the multi-field coupling effect is quantitatively represented by setting hydraulic gradient boundary conditions and chemical reaction kinetic parameters; the dynamic corrosion reaction process of calcium ions, hydrofluoric acid, sulfuric acid and phosphoric acid in the ardealite leachate and carbonate rocks with different crack widths is accurately simulated.

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 method for hydrocarbon production from a carbonate formation includes receiving a carbonate texture description of a drill cutting. A pre-defined grain fraction is assigned to the drill cutting based on the texture description. The pre-defined grain fraction is one of a set of pre-defined grain fractions and each pre-defined grain fraction of the set of pre-defined grain fractions corresponds to a respective one the set of carbonate texture descriptions. Based on the pre-defined grain fraction assigned to the drill cutting and a depth of the wellbore from which the drill cutting is taken, an estimated porosity of the drill cutting is determined using an algebraic equation, coefficients for which are determined by regression analysis using reference rock samples that have been assigned pre-defined grain fractions from the same set of pre-defined grain fractions.

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 embodiment of the invention relates to a lithologic trap identification method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the geologic horizon interpretation according to the seismic data of a target work area, and determining the stratum thickness; extracting at least one seismic fracture attribute in the seismic data, and identifying strike-slip fracture of a target work area according to the at least one seismic fracture attribute; establishing a sedimentary geologic model according to the stratum thickness, the strike-slip fracture and the drilled data of the target work area; carrying out forward modeling based on the sedimentary geologic model, and determining seismic waveform templates corresponding to a reservoir and a lithologic body respectively; determining distribution conditions of different seismic waveforms in the seismic data based on the seismic waveform templates corresponding to the reservoir and the lithologic body respectively; according to the stratum thickness, the strike-slip fracture and the distribution condition of the different seismic waveforms, the lithologic trap of the target work area is identified; and accurate identification of the lithologic trap of the carbonate rock is realized.

The invention provides a water lock removing agent suitable for carbonate rock gas reservoirs and a preparation method thereof.The water lock removing agent suitable for the carbonate rock gas reservoirs comprises, by mass, 1-5% of a wetting reversal agent, 1-5% of a water lock removing agent, 1-5% of a water lock removing agent, 1-5% of a water lock removing agent, 1-5% of a water lock removing agent, 1-5% of a water lock removing agent, 1-5% of a water lock removing agent and the balance water. 5%-25% of a nonionic surfactant; 10-50% of an auxiliary agent; and the balance of water. The wetting reversal agent is a fluorosilicone cationic compound. According to the carbonate rock gas reservoir water block removing agent provided by the invention, the structures of Rf and M groups in molecules are limited by the fluorosilicone cationic compound, so that on one hand, the relatively strong adsorption performance of the agent on the surface of carbonate rock is ensured, and on the other hand, the wetting reversal effect of the agent on the solid surface of the carbonate rock is ensured; and the inner surface of the pore throat is endowed with relatively strong liquid drainage performance, so that the gas phase can be discharged from the pore throat under very small formation driving pressure, the gas phase permeability and the gas well yield are improved, and the stable production period of a gas reservoir is prolonged.

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 discloses a carbonate reservoir fracture permeability test method, and relates to the technical field of ore exploration, the test steps are as follows: S1, blending a tracer agent: preparing iohexol, iopamidol and barium sulfate suspension, and blending to obtain the tracer agent; s2, injecting the prepared tracer agent into the rock stratum, and waiting for diffusion of the tracer agent; s3, a CT scanning device is used for scanning the rock stratum, the flowing path of the tracer agent on the rock stratum is tracked, image data are collected and obtained, and the collected data image is preprocessed; and S4, constructing a three-dimensional model of the crack network by using a three-dimensional imaging technology, displaying a three-dimensional flow path of the tracer agent in the crack, analyzing the acquired CT image data, and measuring to obtain the concentration distribution of the tracer agent at different positions. By means of the tracer agent injection method, the rock stratum fracture permeability closer to the actual situation is obtained, and a more reliable basis is provided for development and evaluation of carbonate rock reservoirs.

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 provides an improved authigenic mineral U-Pb dating method, and relates to the technical field of oil-gas exploration, and the method comprises the following steps: carrying out diagenetic age petrology analysis on a carbonate reservoir in a research area to prepare a plurality of parallel rock samples; carrying out diagenetic age microscopic mineralogical analysis on the parallel rock samples, and determining the diagenetic period of the carbonate reservoir in the research area; analyzing major elements, trace elements and rare earth elements of the parallel rock samples, determining a high U content area, and determining a diagenesis fluid source of the carbonate reservoir in the research area; and carrying out U-Pb isotope test analysis on the high U content region to obtain the diagenesis absolute age of different minerals or the same mineral of the carbonate reservoir in the research region. According to the method, dynamic quantitative recovery of the carbonate rock reservoir forming-reservoir forming dynamic process is achieved, and the defects that an existing method is low in dating success rate and high in test result multiplicity of solutions are overcome.

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 present application relates to a kind of carbonate buried hill oil reservoir reconstruction gas storage evaluation method and device, the method comprises: the cap rock sealing property and fault sealing property of carbonate buried hill oil reservoir are evaluated, and the trapping sealing property evaluation result is obtained;Attribute data body is obtained by multi-window dip scanning to time domain seismic data, and based on attribute data body, coherent attribute body, curvature attribute body and ant body attribute body are generated, and coherent attribute body, curvature attribute body are respectively fused with ant body attribute body, and the favorable reservoir characterization result is obtained;Reservoir space in the oil-gas-water three-phase saturation under the condition of reconstruction gas storage is calculated, and the capacity parameter evaluation result is obtained;Based on the trapping sealing property evaluation result, favorable reservoir characterization result and capacity parameter evaluation result, buried hill oil reservoir reconstruction gas storage evaluation result is generated.The present application method is suitable for the evaluation of reservoir type reconstruction gas storage, and provides good technical support for the design of gas storage scheme.

A method for performing core-to-log depth matching includes receiving input data. The input data includes core data and well log data. The method also includes performing an autonomous data preprocessing procedure to standardize the core data and the well log data to determine correlations between the core data and the well log data. The method also includes performing an autonomous outlier removal procedure to address differences in acquisition methods and measurement principles of the core data and the well log data. The method also includes automatically determining normalized cross-correlations between measurements derived from the core data and measurements derived from the well log data. The method also includes automatically shifting the measurements derived from the core data to a new depth position based upon a maximum of the normalized cross-correlations.

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 present application relates to the technical field of oil reservoir exploration, and particularly relates to a fracture-cave seismic facies identification method and device, which comprises the following steps: obtaining each reservoir section range of a fracture-cave reservoir; obtaining the seismic reflection energy intensity of each reservoir section of the fracture-cave reservoir; obtaining the seismic waveform characteristics of each reservoir section, wherein the seismic waveform characteristics are any one of the following: a first type of seismic waveform with both wave peaks and wave troughs, and a second type of seismic waveform with only wave peaks or only wave troughs; determining the seismic facies category of each reservoir section of the fracture-cave reservoir based on the seismic waveform characteristics and the seismic reflection energy intensity, thereby providing an important basis for the exploration and development of the carbonate rock fracture-cave oil reservoir through effective identification of the seismic facies.

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.

The invention relates to the technical field of geological sample preparation equipment, and particularly discloses a sample preparation device for carbonite carbon-oxygen isotope microcell in-situ analysis and a working method.The sample preparation device comprises a sample pool and a sample bin, carbonite samples are placed in the sample pool, and a plurality of supporting and adjusting electric cylinders are arranged at the bottom in the sample pool; the supporting and adjusting electric cylinder supports the bottom of the carbonate rock sample, the carbonate rock sample is wrapped with resin, the reaction micro-area is exposed, and the supporting and adjusting electric cylinder independently lifts to control the reaction micro-area to face right above; a conveying mechanism is arranged in the sample bin, a sample pool is placed on the conveying mechanism, the conveying mechanism controls the sample pool to move, a sealing cover is arranged at the upper part of the sample bin, a sealing plug and an observation window are arranged on the sealing cover, a phosphoric acid micro-injection needle penetrates through the sealing plug in a sealing manner, and a liquid outlet of the phosphoric acid micro-injection needle directly faces the reaction micro-area; the to-be-tested carbonate rock sample is wrapped by the resin, so that waste of experimental materials is avoided, the accuracy of experimental inspection is improved, and the experimental efficiency is improved.

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.

According to the carbonate rock rare earth element content in-situ analysis method and device, carbonate rock samples are obtained, and the carbonate rock samples are from various rock forms or components; carrying out sample pretreatment on the carbonate rock sample to obtain a to-be-analyzed sample; detecting the calcium element content and the magnesium element content of the sample to be analyzed; detecting the contents of main trace elements and rare earth elements of a single carbonate mineral on the to-be-analyzed sample; and by taking the calcium element content as an internal standard, carrying out data processing on the main trace and rare earth element content of the single carbonate mineral to obtain the rare earth and yttrium element content of the single carbonate mineral. Therefore, the accurate original deposition signal of the carbonate rock sample is obtained, and the accuracy of the environmental condition and the geological history when the reconstructed sediment is formed is improved.

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 provides a method and a device for extracting soluble organic matters of a carbonate reservoir, and the method for extracting the soluble organic matters of the carbonate reservoir comprises the following steps: extracting a reservoir rock sample with a first mesh number to obtain free-state soluble organic matters and first residual substances of the reservoir rock sample; crushing the first residual substance to a second mesh number, and removing carbonate minerals in the first residual substance; extracting the first residual substance from which the carbonate minerals are removed so as to obtain bound-state soluble organic matters and second residual substances of the reservoir rock sample; crushing the second residual substance to a third mesh number to destroy reservoir rock particles of the reservoir rock sample; and extracting the second residual substance crushed to the third mesh number to obtain the inclusion soluble organic matter. According to the method, carbonate reservoir rocks with different granularities are extracted for multiple times to obtain soluble organic matters in different occurrence states, and the soluble organic matters are compared with hydrocarbon source rocks in characteristic to judge the oil and gas filling period.