28 results about "Provenance" patented technology

The invention discloses a sediment-carrying water inrush material source layer identification method based on sedimentary environment attributes, and belongs to the technical field of coal mine water disaster prevention and control. The method comprises the following steps: firstly, collecting drilling core and logging data of an overlying stratum of a target coal seam, and extracting and quantifying sedimentary environment attributes such as a hydrodynamic condition, an oxidation-reduction environment and stratum sedimentary characteristics from the drilling core and logging data; the sedimentary microfacies are divided based on the attributes, and a corresponding relation model of sedimentary microfacies types and the bonding strength (weak, medium and strong) of the material source layer is established. And then, constructing a mining area sedimentary microfacies spatial distribution model, mapping the bonding strength relationship in the model, generating bonding strength three-dimensional distribution characteristics, and delineating different strength areas. And finally, comprehensively judging the silt and water inrush risk area in combination with the cementing strength distribution, the coal seam spacing and the development position of the water flowing fissure zone. According to the method, accurate and three-dimensional space identification of the erodible material source layer is realized from the deposition cause, and a scientific basis is provided for targeted prevention and treatment.

The invention provides a method for quantitatively recovering an ancient landform of an upstream material source area based on geometric attributes of a downstream sedimentary body. According to the method, a modern lake basin or fan delta system with a typical source-sink coupling relation is selected, a digital elevation model and shallow water topographic data are obtained, and a source area and a sink area are divided; parameters such as gradient, catchment area and confluence main channel length are measured in the source area, and geometric attributes such as length, gradient and sedimentary body height difference of a top accumulation layer, a front accumulation layer and a bottom accumulation layer of the fan delta are measured in the confluence area; based on modern sample data, a quantitative relation model between the geometric attributes of the sedimentary body and the landform parameters of the source region is established by adopting a statistical regression method. And then geometric parameter measurement is performed on a target stratum sedimentary body, and the geometric parameter measurement is substituted into the model to recover the area, the thalweg and the gradient distribution of an antique source region. The method takes the geometric attribute of the sedimentary body as a core constraint, is low in dependence on high-quality seismic data, simple and convenient in parameter acquisition and high in result repeatability, and can be used for lake basin evolution and reconstruction, sand body prediction and oil-gas exploration.

The invention discloses a debris flow susceptibility evaluation method considering a whole starting process condition. The debris flow susceptibility evaluation method comprises the following steps: acquiring a remote sensing satellite image of a research area; the excess terrain volume, the InSAR erosion volume and the historical landslide source volume of the area are calculated firstly, and then a comprehensive source supply index is calculated in a fusion mode; calculating a river power index SPI and a daily maximum precipitation amount of the research area, and performing normalization processing on grids of the river power index and the daily maximum precipitation amount by a minimum value and maximum value synthesis method; performing weighted stacking on the two normalized factor layers to obtain a rainfall trigger index; calculating a transportation connectivity index; and carrying out three-dimensional joint probability modeling and susceptibility index calculation. According to the method, objective and accurate evaluation of the debris flow susceptibility is realized through quantitative description of the debris flow forming process and non-parametric probability modeling.

The invention discloses a method for quantitatively representing the supply proportion of a material-source intersection area based on element enrichment factor tracing. The method comprises the following steps: S1, establishing a bedrock mother rock element enrichment factor standard chart; s2, acquiring element enrichment factors of the sedimentary area; s3, principal component difference analysis; and S4, calculating the supply proportion of different material sources through linear regression. According to the method for quantitative characterization of the supply proportion of the material source intersection area based on element enrichment factor tracing, an element enrichment factor method is introduced into deep stratum material source research; by optimizing reference element selection, establishing a targeted mother rock standard chart and combining principal component analysis and linear regression, accurate tracing of deep stratum material sources and quantitative calculation of the intersection proportion are achieved, the blank of a deep stratum element enrichment factor material source tracing technology is filled, and the tracing method has a wide application prospect. And a key technical support is provided for deep reservoir prediction and oil-gas exploration of the petroliferous basin.

The present application relates to the technical field of oilfield exploration and development, and particularly relates to a method for predicting the distribution range of deep-water turbidite sand bodies. The method comprises the following steps: using three-dimensional seismic data, actual drilling well data and velocity data to calculate the maximum thickness of the sedimentary sand body of the upthrown wall of the fault which provides the source for the turbidite sand body; calculating the fault throw according to the development form of the three-dimensional seismic interpretation fault in the work area, and comprehensively considering the seismic, velocity and well data; determining the dip angle of the downthrown wall stratum through the two-dimensional seismic profile perpendicular to the fault strike; based on the drilling and logging data, according to the thickness of the deep-water turbidite sand body in the higher exploration degree area of the research area and the critical value of the deep-water turbidite sand body, drawing the sand body thickness contour map of the research area, so as to determine the distribution range of the deep-water turbidite sand body in the higher exploration degree area. The method is suitable for accurately predicting the distribution range of the deep-water turbidite sand body in the faulted basin.

The invention discloses an isotope source tracing analysis system based on fourth-century loess, and relates to the technical field of data processing. Fourth-century loess sample data is acquired and preprocessed, and a standardized data set is constructed; establishing a three-dimensional feature tensor based on the standardized data set, performing dimensionality reduction, calculating information entropy, dynamically distributing adaptive weights of all modes, weighting to obtain a coupling feature vector, and outputting the coupling feature vector and a weight distribution result; receiving a coupling feature vector and a weight distribution result, taking a multi-isotope end member value as a constraint, and outputting a contribution proportion of each potential source region through a Bayesian mixed linear model and constraint optimization solution; and receiving the contribution ratio, combining the isotope fractionation effect and a distance attenuation model, matching an optimal object source migration path by constructing a path cost function, and outputting migration path parameters. The invention provides a material source tracing analysis system which adopts multi-source indexes and is high in accuracy and high in quantification capability.

The application provides a method and device for determining the chemical weathering degree of a provenance area, wherein the method for determining the chemical weathering degree of the provenance area comprises the following steps: obtaining at least one initial argillaceous rock sample of a target provenance area; for any one initial argillaceous rock sample, judging whether the initial argillaceous rock sample has experienced re-cycling in the case that the composition variation index ICV of the initial argillaceous rock sample is less than a set threshold value; determining the initial argillaceous rock sample which has not experienced re-cycling as a target argillaceous rock sample; calculating the chemical alteration index CIA of each target argillaceous rock sample, and determining the chemical weathering degree of the target provenance area according to each chemical alteration index CIA. The application can exclude the influence of sedimentary differentiation, select the initial argillaceous rock sample which has a composition variation index ICV less than a set threshold value and has not experienced re-cycling, exclude the influence of re-cycling, and further improve the accuracy of CIA, so that the chemical weathering degree is more accurate and has higher reliability.

The invention relates to a sweet spot reservoir prediction method based on source-sink-rock system coupling, and the method comprises the steps: constructing a sequence framework which comprises the steps: recognizing a single well sequence interface, carrying out the seismic sequence division of the sequence interface, and verifying the sequence interface through ancient biology; in the sequence framework, material source supply capacity calculation is carried out, a material source judgment system, an ancient landform recovery result and seismic attribute analysis are synthesized, sedimentary system distribution characteristics are identified, sedimentary facies belt prediction is carried out, and a sedimentary facies control sand body model is established; establishing a three-dimensional sand body distribution model based on the sequence framework, the distribution characteristics of the sedimentary system and the sedimentary facies control sand body model; a favorable zone is obtained through prediction according to seismic attributes of all system domains in the multiple sets of sand-rich deposition system distribution feature superposition coupling sequence grillages; and based on the three-dimensional sand body distribution model, and in combination with a reservoir diagenesis-physical property corresponding relationship summarized by single well actual measurement data, preferably selecting a sweet spot target in the favorable zone. According to the invention, the reliability of sweet spot reservoir prediction can be improved.

The invention provides a method for deploying a deep low-permeability reservoir well location in a low-exploration-degree area. The method comprises the steps that the source, sedimentary facies, fault characteristics and sand body distribution characteristics of a target area are analyzed; according to analysis results of material sources, sedimentary facies, fault features and sand body distribution features, an exploration area sedimentary mode is established, and an exploration favorable area is determined; and drilling target evaluation is carried out on the exploration favorable area, a reservoir forming mode is established, and a well location deployment scheme is determined. According to the method, a sedimentary mode is established and a favorable area is optimized by analyzing object sources, sedimentary facies, fault characteristics and sand body distribution characteristics, and then drilling target evaluation, reservoir forming mode establishment and well location deployment scheme determination are carried out on the favorable area. According to the method, interference of complicated analysis means is removed, analysis of key problems is mainly mastered, the accuracy and efficiency of evaluation are improved, and the accuracy is improved by 50% and reaches 95%; the working efficiency is improved, invalid work is avoided, the workload of five persons and 60 days is reduced to be completed by four persons and 30 days, and deployment of the deep low-seepage well position is assisted.

The invention belongs to the field of working methods of geological technologies, and particularly relates to a survey and analysis method for sources of interlayer oxidation zone sandstone type uranium ore metallogenic substances. Comprising the following steps of 1, investigating and screening a target horizon through a basin sedimentary stratum and a uranium content background value; 2, deducing a sediment source area by adopting a deposition structure measurement method and the like; step 3, carrying out a target layer rock ore test, and establishing a rock mineralogy basis for mineral substance traceability comparison analysis; 4, investigating and deducing mineralogical characteristics of geoplast rocks in the source area, and comparing and analyzing the mineralogical characteristics with a target horizon to determine a sediment source area; and 5, investigating distribution, migration and enrichment rules of uranium elements in the uranium mineralization system, and determining an mineralization action system and changes in combination with regional structure evolution analysis to respectively determine an inner uranium source and an outer uranium source of the uranium ore deposit. The method is divided into two parts of sediment source investigation and analysis and uranium source investigation and analysis so as to solve the problems that an existing analysis method is relatively shallow in investigation and analysis depth, investigation and analysis objects are mostly limited to geologic bodies of modern sediment source areas of basins, material sources and uranium sources are confused and the like.

The application discloses a multi-level constraint thin-layer single sand body well-seismic joint characterization method, which comprises the following steps: performing lithology prediction analysis on all wells; establishing a high-precision sequence stratigraphic framework, performing stratigraphic division and correlation on the well, and completing seismic horizon tracking and interpretation; performing lithology identification and division on the target layer of the coring well; establishing a sedimentary microfacies identification chart of the working area; converting the phase of the seismic data body; completing extraction of conventional seismic attributes; completing RGB wide-narrow frequency band frequency division attribute fusion extraction; restraining the sedimentary microfacies by using surrounding rock influence removal, profile sedimentary microfacies analysis and river sedimentation mode; checking the sedimentary microfacies; and finally obtaining high-precision thin-layer single sand body level plane sedimentary microfacies. On the basis of the original method, the high-precision thin-layer single sand body level plane sedimentary microfacies under multi-level constraint is characterized by using well-seismic record, river channel parameter, oil-gas-water relationship, source-landform parameter analysis and other methods for checking.

This application provides a method and apparatus for prototyping visualization based on local singularities. The method includes: acquiring a detrital zircon U-Pb age dataset of a target region; preprocessing the dataset and dividing it into age intervals; performing local singularity analysis on each age interval to calculate the singularity index of each age interval and constructing a local singularity spectrum; performing multidimensional scaling (MDS) analysis based on the singularity index to obtain visualization results in a low-dimensional space; and interpreting the visualization results in conjunction with geological background information to determine prototyping relationships and material migration paths. This application can accurately identify fine prototyping paths missed by traditional methods, significantly improving the precision and reliability of prototyping.

The invention discloses a lake basin deepwater fine-grained sediment source analysis method and device, and the method comprises the steps: obtaining sedimentary microfacies recognition result data of a rock core sample of a to-be-detected lake basin region, and generating a sedimentary microfacies profile map of a single well high-frequency sequence; obtaining the fragment zircon age distribution in the fine grain sediment; utilizing the sedimentary microfacies profile map and the detrital zircon age distribution to determine the source associated information of the fine-grained sediment in the same deposition time period; the source associated information comprises fine-grained sediments from the same source; carrying out paleo-landform reduction analysis, paleo-water depth reduction analysis and sediment particle size distribution analysis on the lake basin area to be detected, and outputting sediment carrying characteristic data and sediment distribution characteristic data; based on the object source correlation information, the sediment carrying characteristic data and the deposition distribution characteristic data, density flow deposition body distribution characteristics are analyzed through a well seismic isochronous profile, and a deposition microfacies distribution diagram is output. According to the method, lake basin deepwater fine particle mixed deposition superposed material sources can be distinguished.

This invention discloses a method and system for provenance determination based on geochemical data of sediments. The method includes: preprocessing the geochemical data of the input sediment sample; converting the mass percentage of oxides of major elements into moles based on the preprocessed geochemical data; projecting the sediment sample onto an A-CN-K ternary component space based on the moles of the oxides to obtain the distribution characteristics of the sediment sample in the ternary component space; processing the rare earth element data of the sediment sample using a chondrite normalization method to obtain rare earth-related characteristic parameters; performing principal component analysis to reduce the dimensionality of the geochemical data, and performing cluster analysis based on the dimensionality reduction results to obtain clustering results for identifying provenance endmembers; and establishing a provenance determination model using a machine learning classification algorithm with the clustering results or known provenance labels as target variables. This invention realizes a complete processing flow from raw data to provenance determination results.

This invention provides a synergistic method for soil-rock and ecological disaster mitigation and flow control resilience in debris flows, comprising the following steps: Step 1: Conducting on-site surveys and parameter collection in the watershed to obtain the topographic features, sediment source distribution, and hydrological information of the debris flow watershed; Step 2: Designing the geometric dimensions of the main structure based on particle size distribution and topographic features; Step 3: Designing the main structure for graded flow mitigation and drainage; Step 4: Identifying the ecological species in the watershed and surrounding environment, and conducting ecological design in conjunction with the main structure configuration; Step 5: Conducting flume physical model tests to calculate the energy dissipation rate and flow control capacity of the main structure configuration method and technology for debris flow disaster mitigation and flow control; Step 6: Based on the test results, constructing a three-dimensional fish-scale flume model, and conducting numerical simulations on debris flow scenarios of different scales, particle sizes, and rainfall conditions to correct and optimize the soil-rock and ecological synergistic configuration mode. This application proposes a synergistic method for rock-soil-ecological disaster mitigation and flow control resilience for debris flows in watersheds. This method can disperse the mainstream impact energy of debris flows to form local backflow, thereby controlling the flow direction of debris flows to avoid buildings and people. It organically combines graded flow mitigation and drainage of rock and soil structures with ecological materials and vegetation measures, thereby improving the adaptive recovery capacity of the resilience control system and the ecological diversity of the watershed, and realizing the sustainable and comprehensive management of debris flows.

The present application provides a kind of based on Markov chain's sandstone and conglomerate source supply capacity quantitative prediction method, comprising: step 1, understand the basic geological profile of study area, carry out Cenozoic standard layer structural diagram interpretation;Step 2, determine the prediction object and initial state probability vector and time series vector, establish Markov prediction model;Step 3, apply statistical estimation method, establish one-step transition probability matrix;Step 4, realize multiple state probability prediction by one-step transition probability matrix;Step 5, based on source supply intensity factor K, establish the functional relationship between source supply intensity factor K and fan body advancing (retreating) distance.The sandstone and conglomerate source supply capacity quantitative prediction method based on Markov chain has high practical value, strong operability, high prediction result accuracy, and has significant progress compared with the traditional gentle slope zone sandstone and conglomerate source area source supply capacity quantitative prediction.

This invention relates to the field of oil and gas exploration, and particularly to a comprehensive source analysis method for near-source sedimentary systems based on geology and geophysics, comprising: S1, analyzing the anterior surface reflection structure and seismic facies characteristics of geophysical profiles to obtain the source distribution area; S2, collecting samples in the source distribution area, including field outcrop samples and well samples; S3, performing conglomerate distribution characteristic analysis and gravel composition analysis on the samples, and performing sandstone fragment type analysis on the sandstone in the samples; S4, based on the conglomerate distribution characteristic analysis, gravel composition and sandstone fragment type analysis, combined with geophysical root mean square amplitude attributes and wave impedance attributes, characterizing the sedimentary microfacies distribution map of channel sand bodies; S5, based on the sedimentary microfacies distribution map, performing paleocurrent analysis to further clarify the source direction of each well.

The application discloses a method for judging high-quality lacustrine source rock, which comprises the following steps: preparing a paleo-topographic map of a source rock development layer; determining an area within a watershed according to the prepared paleo-topographic map of the source rock development layer and a seismic profile map of a depression; determining a source rock development layer depression deposition area; obtaining a source supply area according to the determined area within the watershed and the source rock development layer depression deposition area; calculating a value of the source supply area / depression deposition area; and judging the development of the high-quality lacustrine source rock in the depression according to the obtained value of the source supply area / depression deposition area. The method is quick and accurate in judging whether the high-quality lacustrine source rock is developed in a new depression, and effectively solves the problem of multiple solutions in the research of the source rock in the new depression.

The invention discloses a water tank experiment sedimentary section analysis method and system, and belongs to the technical field of image analysis, and the method comprises the steps: shooting a frozen vertical section of a water tank sedimentary body, obtaining a digital image of the sedimentary section, and carrying out the standardization processing; converting the digital image into a gray level image, and converting sedimentary layers of different object sources into a digital matrix through threshold segmentation and noise reduction processing; and performing quantitative analysis on the sedimentary profile based on the digital matrix to obtain a quantitative analysis result. According to the method, full-process digitization, automation and quantification of deposition profile analysis are achieved, data precision and analysis efficiency are improved, an experiment and simulation linkage optimization mechanism is established, the method is suitable for water tank experiments of various deposition types, and reliable technical support is provided for deposition process mechanism research.

The invention relates to the field of sedimentology research, in particular to a fine material source analysis method for a mountain-building basin, which is realized by adopting a Monte-Carlo simulation method, and the Monte-Carlo simulation method realizes the analysis process of a plurality of sub-source areas on sedimentary basin material sources by utilizing highly decomposed age spectrum new subclasses. Height decomposition of the method is completed by clustering and heat map analysis of age spectrum data of debris zircon in a sedimentary basin and a source region, and height decomposition of complex age spectrum data in a source-sink process is realized by decomposing complex age spectrum clusters of the sedimentary basin and the source region into different age spectrum new subclasses. The problem that hybrid data of the sedimentary basin is analyzed by using hybrid data of a source region traditionally is avoided, age spectrums of the sedimentary basin and the source region are clear at a glance, and potential uniformity or diversity characteristics of the sedimentary basin and the source region are easy to identify.

The invention discloses a deposition path process fingerprint decoding method and system based on a complex source-sink system, and relates to the technical field of tectonic sedimentology and data modeling crossing. Target strata geochemical characteristic data of a research area are collected and arranged, and a large deposition geochemical data set of the research area is established; and establishing standard stratum characteristics and sedimentary geochemical characteristics thereof in combination with a typical stratum profile of the basin. According to the method, the multi-source supply and re-cycle contribution proportion on the geologic source-sink system deposition path is quantitatively recovered through establishment of target layer series multi-dimensional scaling analysis, homogenization degree analysis, fingerprint decoding parameter PCA data statistics and the like, the defects that a traditional source-sink analysis method depends on prior end member selection and is easily influenced by personal errors are overcome, and the method is suitable for large-scale analysis of the geologic source-sink system deposition path. The inverse Monte Carlo model is utilized to carry out iterative simulation for multiple times, the simulation effect is gradually optimized, the accuracy and reliability of the deposition path and process description result are ensured, and a more scientific and accurate technical means is provided for geological research and resource exploration.

The invention discloses a comparative sedimentology-based material source discrimination method, and relates to the technical field of petroleum and natural gas exploration and development. According to the method, the advantage of full coverage of three-dimensional seismic data on an underground sand body is fully utilized, a sedimentary facies type is determined by depicting a sand body plane distribution form and combining a logging facies mark, comparison is carried out by taking a corresponding modern sedimentary environment as a reference, and the source of the river-delta sedimentary system is comprehensively judged by adopting a comparative sedimentology method. According to the method, the source of the sand body can be identified more quickly and accurately, and geological researchers can be helped to more intuitively understand the superposition relationship of the sand bodies in different underground material source directions. The method is particularly suitable for continental basins which are covered by three-dimensional seismic data and are in the atrophy stage, and is expected to be applied to paleogeography reconstruction of shallow water and complex materials and oil-gas exploration and development.

The application discloses a curtain opening system dissolution quantitative evaluation method under a high-temperature closed background, which comprises the following steps: carrying out source partition on a research area, determining mineral composition, interstitial type and pore type of different source areas, and determining compaction intensity sequence of different source areas; reconstructing a time-space sequence of diagenetic fluid activity, establishing a dynamic model of fluid-rock interaction and pore evolution; determining a mineral differential dissolution conversion mechanism; quantifying mineral differential dissolution under a curtain opening / closed system; and based on mineral composition component difference, fluid type and mineral dissolution effect difference, establishing a curtain opening system deep clastic rock reservoir dissolution quantitative evaluation method under a closed background by combining diagenetic mineral quantitative statistics and theoretical calculation. The application realizes quantitative-semi-quantitative prediction of dissolution effect, thereby delimiting a favorable dissolution development area, and effectively improves reservoir prediction precision, provides a scientific basis for drilling deployment, and reduces exploration risk.

The present application relates to the technical field of provenance identification, and particularly relates to a method for identifying the material source of coastal and shallow sea zircon sand, based on multi-source sediment analysis, which comprises the following steps: S1: obtaining sediment samples in the coastal and shallow sea area, respectively performing heavy sand mineral separation and identification and chemical element analysis, and obtaining heavy sand identification data and element content data; S2: performing morphological analysis on zircon in the heavy sand identification data, obtaining morphological characteristic data of zircon, and simultaneously, constructing a sediment dynamic correction model and outputting corrected element content data; S3: inputting the heavy sand identification data, morphological characteristic data and corrected element content data into a provenance identification model, outputting the material source area of the coastal and shallow sea zircon sand, the contribution proportion of each source area, and identifying the sediment path system to which the material source area belongs. The present application improves the resolution capability of the material source area under multi-source mixed supply, and enhances the stability and adaptability of classification and identification.

The application discloses a kind of palaeo-source-sink system reconstruction method and system, its method includes: obtaining the residual palaeo-source-sink system of the stratum palaeo-source-sink system to be built, the residual palaeo-source-sink system includes residual denudation source area and residual sedimentary area;According to the geomorphic feature of residual denudation source area and the geomorphic feature of residual sedimentary area, the denudation amount of residual denudation source area is recovered, and the denudation source area recovery amount is obtained;According to the geomorphic feature of residual sedimentary area, the denudation amount of residual sedimentary area is recovered, and the sedimentary area recovery amount is obtained;The reconstruction is carried out in combination with the denudation source area recovery amount, the sedimentary area recovery amount and the residual system, and the complete palaeo-source-sink system is obtained;Therefore, without the workload of a large amount of analysis test data, the reconstruction work of ancient continental facies lake basin palaeo-source-sink system can be completed, and the exploration work of oil and gas can be effectively guided.

This invention belongs to the field of geological exploration and resource exploration technology, and discloses a high-precision source area identification method and system based on multi-mineral tracing and machine learning. This invention collects and preprocesses zircon U-Pb age and geochemical data to construct a training set; extracts age distribution features through kernel density estimation and combines them with geochemical features to construct a multi-dimensional feature vector; eliminates redundant features through correlation analysis to construct a sample-feature matrix; trains a classification model using a random forest algorithm and optimizes hyperparameters through cross-validation and grid search; inputs the features of the sample to be tested into the optimization model, and outputs the probability of each source area as a contribution ratio, achieving high-precision quantitative identification of complex sources. This invention employs machine learning technology, which can effectively handle high-dimensional and complex geological datasets, overcoming the limitations of traditional methods in handling large-scale, multi-dimensional data. This invention addresses the challenges of high-dimensional data analysis through feature selection and model optimization.

The present disclosure relates to a method for identifying the distance of sediment source in a fault basin based on well logging data, which analyzes the paleocurrent by using the imaging logging data, determines the direction of the paleocurrent, and then scales the imaging logging, conventional logging and nuclear magnetic logging by using the core, determines the conventional logging response characteristics, nuclear magnetic T2 distribution spectrum characteristics of the far source, medium source and near source, establishes the source distance identification chart, realizes the longitudinal continuous, efficient, accurate and low-cost sediment source distance discrimination, and provides an important basis for the analysis of the sediment basin; the present disclosure analyzes the distance of the sediment source based on the well logging data, fully excavates the geological information of the existing well logging data, reduces the cost to the minimum, and solves the problems of the discontinuity of the source distance determined by using the core data, and the low accuracy of the source analysis result when the core data is insufficient.

The present disclosure relates to a method for determining macroscopic distribution of swelling rock / soil, and the method provided by the present disclosure can divide the stratum distribution range controlled by different parent rock lithology of each stratum paragraph according to the spatial distribution characteristics of the sedimentary facies of different stratum paragraphs in the region to be studied and the parent rock lithology category, and determine the macroscopic distribution of swelling rock / soil according to the weathering degree and swelling characteristics of sandstone and mudstone of each stratum paragraph. The method provided by the present disclosure can determine the distribution position and swelling strength of the swelling rock / soil in the region, and the main distribution range of the swelling rock / soil can be circled through the research on the distribution characteristics of the swelling rock / soil in a large range, and then the exploration means can be reasonably arranged, and the engineering investigation cost can be reduced.