44 results about "Provenance" patented technology

The invention discloses a geological risk identification method based on multi-source data fusion, belongs to the technical field of geological risk monitoring and analysis, and can solve the problems that the existing address risk identification mode is single, the identification precision is poor, and the identification efficiency is low due to the lack of dynamic monitoring means. The method comprises the following steps: S1, collecting geological data of a target area, and constructing a three-dimensional geological risk dynamic model according to the geological data; s2, determining risk index calculation data of the target area according to debris flow source data and rainfall data of the target area and the three-dimensional geological risk dynamic model; s3, determining a risk evaluation coefficient of the target area according to the risk index calculation data and risk index reference data of the target area, and generating a dynamic risk partition map according to the risk evaluation coefficient; and S4, generating early warning information of the target area according to the dynamic risk partition map, and performing geological risk identification according to the early warning information. The method is used for geological risk identification.

The invention discloses a multi-source unmixing analysis method and system for a geological source-sink system based on a dzmix inverse Monte Carlo model, relates to the technical field of tectonic sedimentology and data modeling crossing, and collects and arranges zircon U-Pb chronological data of a target horizon mixed sample in a research area and zircon U-Pb chronological data of a basin peripheral material source area. Establishing a multi-source area big data chronology database of the research area; and establishing standard stratum characteristics in combination with regional sedimentary characteristics and petrology characteristics. According to the method, the contribution proportion of the multi-source substances in the geological source-sink system is quantitatively recovered, the defects that a traditional source-sink analysis method depends on priori end member selection and is easily influenced by personal errors are overcome, the inverse Monte Carlo model is used for carrying out iterative simulation for multiple times, the simulation effect is gradually optimized, the accuracy and reliability of a de-mixing result are ensured, and the method is suitable for large-scale popularization and application. And a more scientific and accurate technical means is provided for geological research and resource exploration.

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 determining a black shale material source carrying path, and relates to the technical field of shale oil and shale gas exploration and development engineering. According to the method, the contents of clay minerals and feldspar are specially selected to be combined with the granularity of shale particles to establish a series of plane contour maps, and through superposition of the plane contour maps, a carrying path with siliceous clastic rock as a main material source, a carrying path with carbonate rock as a main material source and a carrying path of gravity flow are judged; and the carrying path of the black shale of the target layer series in the research area is determined through superposition of the carrying paths. According to the method for determining the carrying path of the black shale material source, the ancient landform of the sedimentary basin can be effectively recovered, an important means is provided for optimization of a favorable shale oil and gas exploration and development area, and then the success rate of well drilling can be effectively increased.

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 invention belongs to the technical field of oil and gas geological exploration, and particularly relates to a lacustrine facies carbonate rock division method which comprises the following specific steps: selecting a research area with remarkable lacustrine facies mixed deposition characteristics, determining a target interval, and combining a structure location map and a stratigraphic histogram to obtain a lacustrine facies carbonate rock division model; and determining that the sample collection range covers different sedimentary facies zones such as a southern slope zone, a nose-shaped tectonic zone and a northern slope zone. The classification scheme not only has a clear facies indicating significance and can effectively indicate a sedimentary environment, but also provides a reliable lithofacies basis for evaluation of a lacustrine facies carbonate reservoir; the method is especially suitable for oil-gas exploration target optimization under the multi-layer-series and multi-object-source background, and has important practical application value for guiding exploration deployment of similar regions.

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 application discloses a sand body quantitative prediction method based on source-sink material conservation, which comprises the following steps: calculating the annual average supply of a source area around a sedimentary basin through a sediment flux calculation model; calculating the product of the stratigraphic deposition time of the source area and the annual average supply to obtain the supply of the source area; calculating the total deposition of a deposition area in each source direction of the sedimentary basin through a deposition amount calculation formula; calculating the difference between the source supply of the source area and the total deposition of the deposition area as a deposition difference; substituting the deposition difference into the deposition amount calculation formula to inversely calculate the possible distribution area of the sand body under the condition that the stratigraphic thickness is the largest, and the possible development thickness of the stratigraphic layer under the condition that the sand body has the largest area; and predicting the development scale of the sand body in a depression area based on the distribution area and the development thickness. The application can quantitatively predict the development scale of the sand body in a low exploration degree and low data quality area, and provide a geological basis for sand body distribution description and exploration and development well site deployment in a coal measure stratum depression area.

The application provides a kind of source area and sedimentary area data processing method and system, the processing method includes: the bottom surface is explained to the intersection of top surface and basement along the base surface to ensure the intersection of both;Respectively, the top surface and bottom surface of the overlying strata in the sedimentary area are converted into time-depth;The top surface and bottom surface of the overlying strata in the sedimentary area after time-depth conversion are respectively interpolated and encrypted;The negative value of the stratum thickness of the sedimentary area is calculated according to the interpolation and encryption data;Horizontal seismic interpretation is made, and the basement of the source area is interpreted;The basement of the source area and the horizontal interpretation layer are respectively converted into time-depth;The basement after time-depth conversion of the source area and the horizontal interpretation layer after time-depth conversion are respectively interpolated and encrypted;The stratum thickness of the source area above the horizontal plane during the stratum deposition period is calculated according to the interpolation and encryption data of the source area;Elevation data is calculated. It can make the integrated paleogeomorphology map more coordinated and accurate than the late splicing of the paleogeomorphology map of a single sedimentary area or source area.

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 relates to the field of reservoir prediction, and provides a clastic rock thin mutual reservoir prediction method and device based on shale content vector simulation, and the method comprises the steps: obtaining seismic data and well data; according to the seismic data and the well data, determining a seismic trace grid, a target stratum slice, target stratum seismic wave data and target stratum shale content data; determining a variation function according to the shale content of the intersection points between the slices and the grids; determining an object source boundary grid according to the object source deposition direction; determining a fusion coefficient according to the seismic wave data of the target stratum and the shale content data of the target stratum; according to the seismic wave data of the target stratum, the shale content data of the target stratum, the source boundary grid and the variation function, predicting to obtain first shale content data and second shale content data of the grid on the slice; and fusing the first shale content data and the second shale content data of the grids on the slice by using the fusion coefficient to obtain fused shale content data of the grids on the slice, and the reservoir prediction accuracy can be improved.

The application relates to a method and device for determining the deposition rate of ancient lake black shale, which comprises the following steps: sampling black shale segments in a drilling core and measuring the total organic carbon content, total rare earth element content and total cobalt (Co) element content of each sample; establishing a corresponding first correction relationship according to the total organic carbon content and the total Co element content; eliminating the C o element content caused by biological activity to obtain a first Co element content according to the first correction relationship; establishing a corresponding second correction relationship according to the first Co element content and the total rare earth element content; eliminating the Co element content caused by source input to obtain a second Co element content according to the second correction relationship; processing the second Co element content according to the distribution characteristics of sample Co element content data to obtain the Co element content of cosmic dust in the shale; and determining the deposition rate of ancient lake black shale according to the Co element content of cosmic dust and the Co element deposition flux of cosmic dust.

A method for determining the geological levels of reservoirs contributing to a sample from a produced oil well, by means of chromatographic composition data, as well as other characteristics of the produced oil and pure samples of oil originating from each of the different geological levels contributing to the sample. The method provided by the invention may be advantageously implemented in a computer.

The invention relates to the field of oil-gas exploration and development, and discloses a three-dimensional material point method-based self-adaptive identification and prediction method and system for a leading-edge depression sedimentary system, and the method comprises the steps: carrying out the material source analysis based on the regional geological background of a depression or basin, and building a terrain slope three-dimensional material point grid model from a source supply region to a convergence region; carrying out stress analysis on the debris particles with different particle sizes in the source area, calculating to obtain the acceleration and the speed of the debris particles with different particle sizes, and simulating the movement process of the debris particles based on the interaction between multiphase bodies; based on motion equations of sediments with different particle sizes, quantitatively predicting the transportation and deposition distances of the sediments under the corresponding terrain gradient background, and based on the transportation distances of different particles, sequentially depicting the boundaries of different deposition systems; and performing three-dimensional identification and prediction on the deposition system in the recess based on the pickup of the deposition boundary. The method can effectively and quantitatively predict the carrying deposition distance of particles with different particle sizes in the front sunken deposition system.