973 results about "Carbonate rock" patented technology

An ultra-deep carbonate rock dissolution simulation experiment device and method. The experiment device comprises: at least two reaction kettles (1) arranged in series connection, the reaction kettles (1) each comprising a confining pressure mechanism (10) and an axial pressure mechanism (20), wherein the confining pressure mechanism (10) is provided with a rock core cavity for accommodating a rock core (2) and can apply confining pressure to the rock core (2), the axial pressure mechanism (20) is used for applying axial pressure to the rock core (2) in the rock core cavity, and the axial pressure mechanism (20) is provided with a reaction solution interface communicating with the rock core cavity; a solution pressure vessel system (40), capable of providing a reaction solution and injecting the reaction solution into the rock core cavities by means of the reaction solution interfaces; at least two back pressure control devices (30), outlet ends of the rock core cavities of the reaction kettles (1) being connected to the back pressure control devices (30); and a detection system (50). The rock core cavities of the reaction kettles (1) are in series connection, and the reaction solution provided by the solution pressure vessel system (40) can sequentially flow through the rock core cavities in series connection, and the detection system (50) is used for separately performing detection on each rock core cavity, thereby solving the technical problem of the difficulty in conducting simulation experiments with respect to the dissolution of strongly altered carbonate rocks in ten-thousand-meter ultra-deep conditions.

The invention provides a preparation method of a bionic microfluidic device for researching fluid migration in carbonate rock micro-nano fractures, which comprises the following steps: step 1, analyzing and classifying scanning electron microscope images of carbonate rock core slices through a random forest algorithm to generate a chip design drawing; step 2, based on the chip design drawing, re-etching a crack structure through a photoresist template and polydimethylsiloxane by adopting a soft lithography technology, and bonding with a glass substrate to form a micro-fluidic chip; and step 3, injecting a precursor liquid containing the calcite nano seed crystal into the micro-fluidic chip flow channel, fixing the seed crystal through ultraviolet irradiation, and injecting a saturated equilibrium liquid to realize calcium carbonate mineral precipitation so as to form the bionic micro-fluidic device. The method can be used for coupling research of all fluids and carbonate rock fractures, and a method for recovering the carbonate rock fracture structure to the maximum extent and a rock surface property cloning method are provided.

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.

The invention provides a carbonate reservoir detection method and system based on resistivity anomaly inversion, and relates to the technical field of oil-gas exploration, and the method comprises the steps: obtaining historical data; performing multi-scale analysis and classification processing according to the resistivity data to obtain a resistivity anomaly distribution diagram; carrying out modeling processing according to the geological parameters and the carbonate rock resistance test data to obtain a geological-electrical coupling relation model; a resistivity three-dimensional distribution model is constructed according to the resistivity anomaly distribution diagram and the geology-electrical coupling relation model; performing resistivity prediction processing based on adaptive mesh generation and parallel calculation to obtain a resistivity space distribution prediction result; and performing three-dimensional geological modeling processing according to the resistivity spatial distribution prediction result to obtain an oil and gas reservoir detection result of the target area. According to the method, through multi-scale resistivity anomaly analysis, resistivity data processing is carried out by adopting high-order derivative filtering and wavelet decomposition technologies, and the resistivity anomaly region can be efficiently extracted.

The invention relates to a carbonate reservoir pore structure quantitative characterization method and device, and the method comprises the steps: carrying out the pore structure feature extraction of obtained digital images of different scales of a carbonate reservoir, and obtaining corresponding binary images; aiming at the binary image of each scale, taking at least partial region of the binary image as a target region, and searching and screening the binary images of different scales through a similarity matching algorithm based on the pore distribution feature, the pore change feature, the pore fractal feature and the pore shape feature of the target region to obtain a pore key region; and on the basis of a pre-constructed multi-scale comprehensive fractal dimension function and the pore key areas of different scales, the carbonate reservoir multi-scale comprehensive fractal dimension is obtained through calculation. According to the method, the comprehensive quantitative characterization of the multi-scale pore structure is realized, the problem of relevance and fusion characterization among multi-scale images is solved, and data support can be provided for effectively solving the productivity prediction and evaluation of the carbonate reservoir.

The present disclosure provides a method for evaluating a geological storage amount of carbon dioxide (CO2) in a fractured-vuggy carbonate reservoir, including: performing image identification on a three-dimensional scanned image of a rock sample to obtain identified rock information; inputting the identified rock information to a computational fluid dynamics-based numerical simulator for constructing a fractured-vuggy rock structure model, and obtaining geometric topological information of the rock sample based on the fractured-vuggy rock structure model; inputting relevant parameters of the rock sample and the geometric topological information to a multi-scale multi-phase flow numerical model for numerical simulation of multi-phase flow migration of CO2 in models of different scales and obtaining a multi-scale numerical simulation result; and calculating a multi-scale CO2 storage efficiency based on the multi-scale numerical simulation result. The present disclosure may effectively evaluate and predict the storage capability of CO2 in fractured-vuggy carbonate rock.

The invention relates to retarded acid for a carbonate rock reservoir and application thereof, and aims to solve the problems of poor high temperature resistance and too high acid rock reaction rate of the current retarded acid for the carbonate rock reservoir. The retarded acid for the carbonate rock reservoir comprises an acid agent, a functional aid and water; the acid agent comprises inorganic acid, organic acid, a chelating agent and organic ester in a mass ratio of 1: (10-13): (5-6): (3-4). According to the retarded acid provided by the invention, the acid agent is specifically designed, and the inorganic acid, the organic acid, the chelating agent and the organic ester in a specific ratio are matched, so that the retarded acid has high temperature resistance, and meanwhile, the problem that the acid-rock reaction rate is too high is avoided. And the deep transformation of the acid liquid in the reservoir is realized under the clamping of a low acid rock reaction rate. And by means of the high resistance reduction capacity after weight increasing, it is guaranteed that the construction operation pressure is reduced in the deep well and ultra-deep well reservoir transformation process, and therefore the efficient reservoir transformation capacity is achieved.

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 relates to the field of oil-gas exploration and development and petrophysics, and discloses quantitative evaluation of influence of corrosion on sedimentary rock elasticity. The method comprises the following steps: determining mineral components of a carbonate rock sample of a target layer, the content of each mineral component, a first pore characteristic and a first elastic parameter; determining corrosion environment parameters according to the sedimentary environment, the underground fluid condition and the burial history of the area where the carbonate rock sample is located, and performing corrosion simulation treatment on the carbonate rock sample according to the corrosion environment parameters; re-determining a second pore characteristic and a second elastic parameter of the carbonate rock sample; establishing a quantitative evaluation model according to the mineral components, the content of each mineral component, the first pore characteristics, the first elastic parameters, the second pore characteristics and the second elastic parameters, and evaluating the influence of the corrosion effect on the elasticity of the carbonate rock according to the quantitative evaluation model. And the seismic reservoir prediction precision can be improved.

The invention belongs to the technical field of micro-fluidic chips, and discloses a real carbonate rock micro-fluidic chip and a preparation method thereof.A binder is poured into a groove in a transparent substrate, then a core slice is placed on the surface of the uncured binder in the groove, and after the binder is cured, the surface of the core slice is ground to obtain the real carbonate rock micro-fluidic chip. Then patterning the surface of the core slice by using laser, and etching a real pore channel image, a liquid injection channel and a liquid outflow channel; covering the surface of the semi-finished product carbonate rock micro-fluidic chip with a PDMS film; the transparent cover plate covers the surface of the PDMS film, the transparent substrate, the PDMS film and the transparent cover plate are fixedly connected, and liquid inlets and liquid outlets are formed in the positions, corresponding to the liquid injection channel and the liquid outflow channel, of the transparent cover plate and the PDMS film. According to the micro-fluidic chip, the real pore channel structure can be restored in the micro-fluidic chip, the mineral characteristics of the real stratum can be restored at the same time, and the visibility of the micro-fluidic chip is not affected.

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 fracture-vug type carbonate rock fracture-vug reservoir reasoning method and device based on a knowledge graph. The device comprises an ontology construction module, a knowledge extraction module, a knowledge fusion module, a business rule module, a reasoning model module and a reservoir comprehensive evaluation model. Wherein the business rules comprise an oil reservoir analysis rule, a reservoir physical property rule, a logging interpretation rule and the like, the calculation model is a carbonate reservoir comprehensive reasoning model, and comprehensive reasoning analysis is performed on each fracture-cavity reservoir by combining the business rules of the business rule module with a carbonate fracture-cavity reservoir comprehensive reasoning method. And generating a carbonate rock fracture-cavity reservoir optimization scheme. According to the method, the exploration target optimization working efficiency of the carbonate fractured-vuggy reservoir can be improved, the pertinence, accuracy and timeliness of exploration decision making are improved, the exploration risk is reduced, and the decision making efficiency is improved.

The invention provides a carbonate rock dominant productivity reservoir identification method. The carbonate rock dominant productivity reservoir identification method comprises the following steps: S1, acquiring element logging curve data, an electric imaging basic image, a conventional logging curve, core experiment data and gas logging data of a well in a research block; s2, by means of element logging curve data and conventional logging curve data, the mineral content of the region is obtained, and the lithofacies AL of the research region is determined; s3, a reservoir type parameter AE is given; solving an electric imaging porosity spectrum parameter by utilizing the electric imaging two-dimensional curve, and solving a porosity spectrum evaluation parameter AD; s4, analyzing the relationship between the conventional logging curve and the gas logging data, determining the boundary between the dominant gas production reservoir and the low-productivity reservoir, and constructing a productivity evaluation parameter AO; and S5, according to the calculated parameter values, respectively calculating evaluation standards and weights of different parameters, calculating the carbonate reservoir in the research area according to the standards and the weights to obtain a reservoir comprehensive quality index, and according to the reservoir comprehensive quality index, obtaining advantageous capacity reservoir distribution.

The invention relates to the technical field of carbonate reservoir development, and particularly discloses a fracture-vug type carbonate reservoir integrated acid fracturing productivity prediction method and device, and the method comprises the following steps: S1, obtaining reservoir physical property parameters, natural fracture distribution conditions and karst cave development conditions of a reservoir; s2, respectively constructing a continuous three-dimensional reservoir physical property model, a three-dimensional natural fracture model and a three-dimensional karst cave development condition model; s3, on the basis of the three-dimensional reservoir physical property model, the three-dimensional natural fracture model and the three-dimensional karst cave development condition model, acid fracturing construction pump injection program parameters are combined, and an acid fracturing artificial fracture model is obtained through fitting between simulated injection pressure and actual injection pressure; and S4, carrying out productivity prediction by utilizing the three-dimensional reservoir physical property model, the three-dimensional natural fracture model, the three-dimensional karst cave development condition model and the acid fracturing artificial fracture model. According to the method, the geological parameters, the engineering parameters and the acid fracturing artificial fracture construction model are comprehensively considered for productivity prediction, and the productivity prediction accuracy is improved.

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 discloses a method and system for evaluating the permeability of a carbonate reservoir based on nuclear magnetic resonance, and the method comprises the steps: obtaining nuclear magnetic resonance logging T2 spectrum test data and permeability data of the reservoir, and dividing a corresponding training set and a test set; performing data standardization processing on input and output of the training set to eliminate differences of units and orders of magnitude among different input vectors; inputting the standardized training set into a preset deep learning model for training to obtain a permeability calculation model; and testing the performance of the permeability calculation model by using the test set. The calculation precision of nuclear magnetic resonance logging information for evaluating the permeability of the carbonate reservoir is improved, and effective support is provided for reservoir parameter fine evaluation and later oil reservoir development.

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.

The invention belongs to the technical field of oil development, and particularly relates to a fracture-vuggy carbonate reservoir gas-driven reserve calculation method, which comprises the following specific steps of: obtaining an influence factor correction coefficient of a gravitational differentiation influence factor through a numerical simulation experiment; calculating the obtained gas drive reserve before correction of the actual oil reservoir; and correcting the pre-correction gas-driven reserves of the actual oil reservoir by using the gravitational differentiation influence factor correction coefficient to obtain the corrected gas-driven reserves and the corrected gas-driven degree of the actual oil reservoir. According to actual parameters of the reservoir and injection-production dynamic data simulation, a fine conceptual model is constructed to accurately represent reservoir and fluid characteristics, the influence of gravitational differentiation influence factors on reserve calculation is considered, and by introducing a correction coefficient, a gas-driven reserve calculation result better fits the actual condition of the fractured-vuggy carbonate reservoir, and the reservoir and fluid characteristics are accurately represented. And reliable basis is provided for oil reservoir development.

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 invention discloses a carbonate rock fault control fracture-vug type high-quality reservoir prediction method and system and electronic equipment, and belongs to the technical field of fracture-vug type carbonate rock oil and gas reservoir development. The method comprises the following steps: obtaining the number of finished drilling wells, the number of wells with mud leakage or drilling tool emptying, the number of wells without mud leakage or drilling tool emptying, corresponding amplitude values and maximum likelihood attribute values in a seismic data work area, and introducing a binary Logistic regression model according to obtained original data, and establishing a relation model of whether emptying leakage occurs, an amplitude value and a maximum likelihood attribute value. On the basis of the model, the probability of emptying leakage at any position in the same set of seismic data work area can be judged, and prediction of a high-quality reservoir is achieved. According to the method, a mathematical probability model is introduced, and quantitative characterization and prediction of the fault control fracture-cavity type high-quality reservoir are realized through combination of a geophysical prospecting technology and mathematical analysis; the process is simple and rapid, and accurate prediction of the cave type fracture-vug type high-quality reservoir is achieved for the first time.

The invention provides a carbonate rock lithology identification method based on machine learning, and the method comprises the steps: obtaining the hyperspectral data of a carbonate rock sample through an ASD spectrometer, and carrying out the preprocessing of the hyperspectral data; a mixed feature selection method is adopted, firstly, feature wavebands in the hyperspectral data are selected, then a random forest method is adopted for feature importance sorting, and features with high importance are selected; constructing a carbonate rock lithology identification model based on the selected features, wherein model parameters are determined by a machine learning algorithm; and predicting the mineral content in the carbonate rock according to the lithology identification model so as to identify the lithology of the carbonate rock. According to the method, on the basis of carbonate rock hyperspectral data, feature selection is carried out by adopting a mixed feature selection method after preprocessing, a lithology identification model is established on the basis, model parameters are determined through a machine learning mode, mineral component content is predicted, and therefore carbonate rock lithology identification and classification are achieved. And the identification precision and efficiency are greatly improved.

The invention discloses a carbonate rock physical modeling method, application, a device, equipment and a medium, and belongs to the field of geophysical exploration. The modeling method comprises the following steps: establishing a pore quantitative interpretation template through logging data, determining pore types and pore parameters of various pores, adding the pores into a rock matrix to obtain a dry rock skeleton model, adding a fluid mixture into the dry rock skeleton model, and establishing a carbonate rock physical model; estimating the longitudinal and transverse wave velocities of the rock by using the rock physical model; the invention further provides a device for implementing the method, computer equipment and a computer readable storage medium. According to the method, the problem that the difference of estimation results by using a conventional rock physical model is large due to a carbonate rock multi-pore structure is solved, and meanwhile, the transverse wave estimation information can be quickly and accurately obtained by using the carbonate rock physical model. The method can be applied to rock physical modeling and pre-stack inversion technologies of carbonate rocks.

The invention discloses a fracture-cavity communication probability calculation method and device based on multi-source potential field diffusion conduction, and relates to the technical field of oil and gas reservoir exploration, and the key point of the technical scheme is that the fracture-cavity communication probability is calculated from the spatial distribution and scale of reservoir development of carbonate rocks, the fluid communication channel and fluid storage characteristics in the carbonate rocks, and the formation energy of carbonate reservoirs. The reservoir characteristics of the ultra-deep carbonate rock fracture-cavity body are described in the three aspects, and a multi-source potential field diffusion method is used for calculating a karst cave communication strength body, a fracture communication strength body and an in-fracture net pressure body. According to the method, researchers can be helped to obtain better understanding of connectivity of karst caves, fractures and the like, and particularly for sectionality and well group division of fault zones, the researchers can be helped to predict reservoirs more accurately.

The invention discloses a comprehensive recognition method and system for limestone reservoir fractures, and belongs to the technical field of carbonate oil and gas reservoir development. The identification method comprises the following steps: identifying a crack based on rock core observation, obtaining crack development characteristics and a fraction dimension D, evaluating the crack development degree, and judging whether a target area is suitable for a crack identification model or not; obtaining the response characteristics of the crack on the logging curve based on the crack development characteristics and the rock core and imaging logging information; establishing a crack identification model by using a BP neural network method based on the response characteristics of the crack on the logging curve; when the target area is suitable for the crack recognition model, the crack development condition of the target area is recognized through the crack recognition model, and comprehensive recognition of cracks is completed.

The present invention discloses a method for determining the maximum burial temperature of a formation by using carbonate clumped isotopes. The method provided by the present invention comprises the following steps: collecting formation samples and petrological analysis; testing the carbonate clumped isotope Δ47 of the samples; calculating the clumped isotope temperature T of the samples Δ47 ; preliminarily estimating the range of the maximum burial temperature of the formation where the samples are located; and according to the preliminary estimation result, selecting a solid-state reset model to determine the maximum burial temperature of the formation. The present invention solves the problem that it is difficult to accurately determine the maximum burial temperature for ancient marine carbonate rock formations due to the lack of vitrinite or zircon, reduces the result error, clarifies the applicable scope of the method, improves the feasibility, and has very important significance for the evolution of the organic matter maturity of source rocks and the evaluation of oil and gas resources in this formation series.

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.