33 results about "Lake basin" patented technology

The invention discloses a continental lake basin grain mud layer sequence image recognition method, device and equipment, a medium and a product, and relates to the technical field of geological exploration. The method comprises the following steps of: after acquiring a smooth surface / slice sample grayscale image of a continental lake basin sedimentary rock core, respectively obtaining a global pixel optimal segmentation threshold value and a local pixel self-adaptive segmentation threshold value of each pixel by applying a maximum between-class variance method and a Sauvola local threshold value algorithm; the two thresholds are fused by taking the local contrast normalized value of each pixel as a weight coefficient to obtain a final segmentation threshold, pixel-by-pixel binarization processing is carried out on the grayscale image to obtain a binarized image, the percentage of the target pixel is counted line by line in the binarized image, and the percentage of the target pixel is calculated. A target pixel percentage trend line is formed according to a statistical result, and finally bright color and dark color texture mud layer segments on the trend line are identified, and quantitative geological parameters of the texture mud layer are obtained according to the identification result, so that the segmentation precision and robustness of the complex texture mud can be remarkably improved.

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 relates to the technical field of environment monitoring, and discloses a plateau lake basin cultivated land soil pollution multi-index synchronous monitoring method. The method is suitable for plateau lake basin cultivated land, and under the condition that plateau lake basin cultivated land soil measured data is high in acquisition cost and difficult to acquire in quantity, a spatial distribution diagram of cultivated land soil non-point source pollution source load indexes is acquired in a large-scale, low-cost and high-efficiency manner by assisting limited field monitoring data through a satellite remote sensing means. Through long-term soil pollution index content and variable quantity monitoring and risk level evaluation, visualization, quantifiability, traceability and prevention and control of non-point source pollution are realized, the limitation of replacing surface by point in traditional point location measurement is overcome, and the method is the most efficient method for evaluating the potential risk of agricultural non-point source pollution.

The application discloses a method for identifying large-area fresh water and salt water lake types, which comprises the following steps: binarizing lakes according to the measured salt and fresh water types of the lakes; obtaining attribute data within a research area range; extracting time series values of attribute data of each lake basin within the research area range, and calculating the average value of each attribute data; counting the attribute differences between salt water and fresh water lakes, and selecting the attribute with significant difference as a key attribute; for each key attribute, searching for an optimal segmentation threshold of salt water and fresh water lakes within the value range of the key attribute; taking the optimal identification precision of each key attribute as a weight, and taking the salt and fresh water type identification result of each key attribute under the optimal segmentation threshold as a value to perform weighted average calculation, rounding off the weighted average calculation result, and identifying salt water and fresh water lakes according to the final calculation result. The application can realize high-precision identification of salt and fresh water lakes in a large area.

The invention belongs to the field of petroleum geological exploration, particularly relates to a method for determining the reservoir forming time of a deep concave area of a continental facies fault lake basin, and aims to solve the problems that the reservoir forming time of the deep concave area of the continental facies fault lake basin can only be obtained in a semi-quantitative manner and the reservoir forming time of the deep concave area of the continental facies fault lake basin is easily misjudged in the prior art. The method comprises the following steps: determining an oil-containing well section, selecting sandstone with developed calcite cement as a sample, and making the sandstone into slices; determining the type of a fluid inclusion, and further determining the type of an oil inclusion; obtaining the rare earth element partition mode similarity of the slices, and confirming the cementation period of the slices; selecting slices which contain the native inclusion and are in the same cementation period, and making the slices into a circular target sample; and performing U and Pb element scanning on the circular target sample, and performing U-Pb age calculation through a graphical method to obtain the reservoir forming age of the deep concave area of the continental disruption lake basin. According to the method, quantitative analysis of the reservoir forming time of the deep concave area of the continental fault lake basin is realized, and the correctness of reservoir forming time judgment is improved.

The application discloses a method, device and equipment for identifying sweet spots of shale oil in a salinized lake basin. The method comprises the following steps: firstly, determining a rock structure factor of a stratum based on a natural gamma curve, volume density logging data and skeleton density logging data of the stratum, so as to determine the lithology of the stratum and identify reservoir rock layers in the stratum based on the rock structure factor; then, determining a lamination index of the rock in the stratum based on electrical imaging logging data, so as to identify source rock layers in the stratum based on the lamination index; and finally, identifying a sweet spot development section of the shale oil in the salinized lake basin based on the reservoir rock layers in the stratum and the source rock layers in the stratum. The method can quickly identify the sweet spot development section of the shale oil in the target area, and provides a basis for later oil and gas development.

The invention discloses a river basin sediment production estimation method based on a dynamic evolution process of a river-blocking barrier lake, and the method comprises the steps: carrying out the comparative analysis of key physicochemical characteristic parameters through an identification event layer in a residual barrier lake deposition sequence, and constructing a disaster chain extreme surface process river basin sediment production estimation method. Water level changes, hydrodynamic conditions and material source changes of the barrier lake are comprehensively analyzed, different sand production stages from the stable period, the decline period and the extinction period of the barrier lake are divided, the sediment change history from lacustrine facies suspended load to flood plain bed load is analyzed, and a complete barrier lake formation-evolution full life cycle evolution process mode is constructed. A layered triangular irregular network model is constructed to obtain layered accumulated sediment volume data, the layered volume and mass are calculated based on a dry density field of sedimentary stratification and spatial interpolation so as to calculate the total sediment yield, a physical information neural network model inverts a sedimentary thickness field, sediment yield estimation is achieved, and the non-stationary dynamic evolution characteristics of water and sediment of the barrier lake are quantified.

The invention discloses a method for measuring phosphorus endogenous load of lake sediments. The method comprises the following steps: 1) measuring phosphorus reserve of the sediments; (2) calculating the phosphorus reserve of the sediments of the polluted layer; (3) measuring and calculating the phosphorus diffusion rate of the sediments; (4) calculating the phosphorus internal load of the sediments, wherein the calculation formula is N = m * Fd2; in the formula, N is the phosphorus internal load (unit: n) of the sediment, m is the phosphorus reserve (g) of the sediment of the pollution layer, and Fd is the phosphorus diffusion rate (mg.m <-2 >. D <-1 >) of the sediment. According to the method, the state of the phosphorus internal load of the lake sediment can be reflected more accurately and comprehensively, the evaluation index of the phosphorus internal load of the lake sediment is more standardized, and a reliable basis is provided for lake eutrophication control engineering measures and lake basin ecological protection formulating measures.

This invention provides a method and system for identifying agricultural non-point source pollution risks in lake basins. The method includes: acquiring meteorological and crop data and inputting them into a constructed basin SWAT model; running the model monthly to obtain the runoff of each river and the concentration and output of non-point source pollutants in each river; constructing a river-lake estuary MIKE21 model to simulate the changes in lake non-point source pollutants for the current month and predict the next month, obtaining lake water quality indicators, and determining whether the lake currently meets the requirements of the lake's water function zone. If so, the risk area under the minimum reduction inflow load scenario is determined, and the basin SWAT model is called again for basin-wide agricultural non-point source pollution control. If not, the input load of each inflow river sub-basin is reduced one by one until the water quality meets the standards. Based on the basin's agricultural characteristics and meteorological and hydrological forecasts, this invention identifies and predicts key areas and time periods for agricultural non-point source pollution and proposes small-basin and segmented area management, demonstrating significant environmental and ecological benefits as well as socio-economic benefits.

The present application relates to a method, device, medium and equipment for high-precision sequence division of a continental rift lake basin, comprising: determining a target well; obtaining a GR curve of the target well and preprocessing the GR curve to obtain a shale volume curve; performing multi-stage filtering on the shale volume curve; performing cross-point analysis and picking up sand-shale boundary based on trend data of the shale volume curve; discriminating sandstone cycle types based on sand-shale layering results; dividing cycle basic units for discrimination of mudstone segments, sandstone segments and sand body cycle types; calculating an A / S ratio according to cycle basic units; the A / S ratio is a ratio of a basic unit thickness to a sandstone thickness; and identifying key interfaces and system domain positions according to the A / S ratio. The present application can realize high-precision division of sand-shale layers, and quantitatively reflect stratigraphic stacking patterns according to A / S ratio variation characteristics, thereby completing high-precision sequence and system domain division.

The invention discloses a continental lake basin shale bed series lithofacies combination boundary delimiting method, and belongs to the technical field of exploration and evaluation. The delimiting method comprises the following steps: carrying out rock core observation and analysis on a shale bed series rock sample to obtain lithologic characteristics of the sample; and carrying out organic carbon determination and rock pyrolysis analysis experiment on the shale strata rock sample to obtain the total organic carbon content and the free hydrocarbon content, and determining the abundance of organic matters and comprehensively naming. And determining the sedimentary environment of the sample according to the total organic carbon content and the lithologic characteristics of the sample. And obtaining a relational graph of the continuous thickness of the shale and the free hydrocarbon content and a relational graph of the thickness proportion of the land occupation layer of the shale and the free hydrocarbon content. And establishing a lithofacies combination division standard through the indexes, and carrying out longitudinal lithofacies combination division on the shale bed series rock sample. According to the method, lithofacies can be effectively distinguished through comprehensive analysis of lithology, mineral composition, organic carbon content, sedimentary structure and the like.

The present application belongs to the field of oil and gas geochemistry and petroleum geological exploration technology, and particularly relates to a method for evaluating early hydrocarbon generation potential of source rocks in a salinization lake basin, comprising the following steps: step S10, obtaining source rock samples of a target layer and measuring resin content, organic sulfur to organic carbon atomic ratio and gammacerane index of the source rock samples; step S20, respectively normalizing the resin content, organic sulfur to organic carbon atomic ratio and gammacerane index; step S30, calculating an early hydrocarbon generation potential comprehensive index based on the normalized parameters; and step S40, evaluating early hydrocarbon generation potential of the source rocks according to the calculated early hydrocarbon generation potential comprehensive index. The present application integrates three core geochemical parameters for characterizing early hydrocarbon generation precursors, hydrocarbon generation promotion mechanisms and salinization preservation environments, constructs a comprehensive evaluation model, and realizes accurate prediction and grade division of oil generation capacity of the source rocks at a low maturity stage.

The present disclosure provides a method and device for identifying gravity flow type of continental rift lake basin, and relates to the technical field of geological exploration. The method for identifying gravity flow type of continental rift lake basin comprises: obtaining three-dimensional seismic data, core data and logging data of a target area; the three-dimensional seismic data comprises seismic reflection structure and seismic slope; the core data comprises lithofacies characteristics, sedimentary structure, sedimentary sequence and particle size distribution characteristics; based on the three-dimensional seismic data, the core data and the logging data, as well as the characteristics of flood-type gravity flow and the characteristics of slumping-type gravity flow, the gravity flow type of the target area is determined; the gravity flow type is verified based on sedimentary process simulation, seismic inversion verification and reservoir microscopic verification; and in response to the verification passing, the gravity flow type is determined as the target gravity flow type of the target area. Thus, the defects of single parameter and insufficient verification in the traditional identification method are overcome, and the identification efficiency and accuracy of the gravity flow type are significantly improved.

The invention provides a glacier lake water volume automatic calculation method based on ICESat-2 laser point cloud and lake boundaries. The method comprises the following steps: data preparation: acquiring ICESat-2 ATL03-level photon data of a target glacier lake area; meanwhile, lake boundary information of the region is obtained; data processing and photon screening; fitting a photon orbital equation and constructing a vertical section; lakebed parabola fitting and topographic point generation: obtaining a large amount of lakebed topographic point cloud data covering the whole lakebed basin; and S4, lakebed DEM generation and water volume calculation: taking all lakebed topographic point clouds generated in the step S4 as interpolation source data, and generating a lake underwater digital elevation model by adopting a spatial interpolation algorithm. And the automation degree and the space precision of water volume calculation are improved. And the water volume of the glacier lake which is difficult to reach can be accurately monitored in a high-efficiency, low-cost and large-area manner.

The application discloses a method, system and device for calculating the volume of an ice lake based on morphology and terrain constraints and a storage medium, and belongs to the technical field of ice lake volume calculation. The method comprises the following steps: obtaining the area and perimeter of an ice lake based on pre-processed remote sensing image data; obtaining the morphology coefficient of the ice lake based on the area and perimeter of the ice lake; collecting digital elevation model (DEM) data of a range above the overflow outlet of the terminal moraine of the target ice lake to obtain the fluctuation coefficient of the ice moraine around the ice lake and the morphology index of the ice lake basin; obtaining DEM data of the range of the slope of the ice moraine around the target ice lake to further obtain the terrain coefficient around the ice lake; and obtaining the volume of the target ice lake based on the area of the ice lake, the morphology coefficient of the ice lake, the fluctuation coefficient of the ice moraine around the ice lake, the terrain coefficient around the ice lake and the morphology index of the ice lake basin. The application can significantly improve the calculation accuracy and more accurately calculate the volume of the ice lake, thereby providing key basis for accurately evaluating the risk of ice lake outburst and formulating targeted prevention measures.

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.

The invention discloses a plateau lake basin-oriented ecological product value automatic accounting system construction method, and the method comprises the steps: building a multi-source heterogeneous data access and standardization processing mechanism, constructing a land parcel-level ecological system classification layer and an accounting parameter library, developing a configurable accounting model assembly and an automatic scheduling engine, and carrying out the automatic accounting of the value of an ecological product. Further introducing an ecological service identification and value estimation module based on deep learning, carrying out feature extraction and mode identification on data such as remote sensing images, meteorological hydrology, land utilization and the like, and improving the perception capability of the model on the spatial distribution and evolution trend of ecological products by using a multilayer neural network and a space-time attention mechanism; and in combination with WebGIS visual display and a'accounting-feedback-application 'closed-loop linkage mechanism, full-process automation, intelligence and standardization of ecological product value accounting from data acquisition, model operation to result expression and decision support are realized.

This application belongs to the fields of remote sensing image processing, sample construction, and deep learning. Specifically, it discloses a multi-task spatiotemporal collaborative method for monitoring the complex surface ecology of the Dongting Lake Basin, including the following steps: acquiring long-term time-series remote sensing images of the Dongting Lake Basin; calculating multiple ecological parameters after preprocessing; constructing a multi-dimensional spatiotemporal collaborative ecological health index (MSTEHI) dataset through principal component analysis; constructing a spatiotemporal collaborative multi-task ecological monitoring network model, the STC-MTEMN model, which includes a time-series curve extraction module, a curve feature recognition and segmentation module, and a time-series classification module; training the model using a sample dataset constructed from the MSTEHI dataset; inputting the MSTEHI time-series data of the area to be monitored into the trained model, and outputting land use type classification results and key node information of ecological changes. This application can achieve high-precision and high-efficiency monitoring of dynamic changes in the ecological environment under complex surface environments.

This invention discloses a multi-objective optimization method for lake ecological water transfer based on a surrogate model, comprising: constructing a lake basin hydrological model based on the SCS-CN model and the impervious area method; constructing an EFDC hydrodynamic model; estimating the average lake age based on the Lagrange particle tracking method, and estimating ecological water transfer carbon emissions based on the inflow of water transfer projects; training a surrogate model based on a random forest regression model, taking ecological water transfer control parameters and inflow of watershed into the lake as inputs, and the average lake age and ecological water transfer carbon emissions as outputs; constructing a multi-objective collaborative optimization model based on the surrogate model to minimize the average lake age and minimize ecological water transfer carbon emissions; and solving the multi-objective collaborative optimization model. This invention achieves joint optimization scheduling of water age improvement and carbon emission minimization in urban lake areas, enhancing the ecological stability and low-carbon operation capacity of urban lake areas, and can be applied to the field of ecological regulation technology.

The invention discloses a salt-containing lake basin paleogeography dynamic reconstruction method and system based on multi-source data fusion and structure-deposition coupling, and relates to the technical field of oil and gas geological exploration and paleogeography reconstruction. Seismic sections, drilling data and geochemical test data of a research area are collected, and 3DMove software is adopted to carry out balanced section recovery; and calculating the shortening rate of each structural section so as to establish a fault displacement-stratum thickening relation model. According to the method, a four-dimensional data body is constructed by integrating multi-source data of construction, deposition, geochemistry and the like, the geological features of the salt-containing lake basin are comprehensively analyzed from multiple dimensions, the construction settlement amount is calculated through a back-stripping method, the deposition compaction thickness is corrected by using the porosity-depth relation, and the calculation accuracy is improved. The paleo-water depth is quantified by means of multi-parameter weighted average such as geochemical water depth indexes, information such as the paleo-water depth and the sedimentary environment can be reflected more accurately, paleo-geography reconstruction precision is greatly improved, and more reliable basic data are provided for researching the evolution process of lakes and basins.

The invention provides a river basin multi-water-source cooperative regulation and simulation method oriented to lake water ecological health, and relates to the technical field of water resource system engineering. The lake water ecological health-oriented drainage basin multi-water-source cooperative regulation and simulation method comprises the following steps: S1, based on drainage basin digital elevation data, a land utilization distribution diagram, soil type data and hydrogeological parameters, generating a structured geographic information data set through standardization processing by adopting a spatial database construction technology, and establishing a spatial data set; and generating a drainage basin space attribute joint database. Through standardization processing of a structured geographic information data set, multi-source heterogeneous geographic data are integrated in a unified manner, space reference deviation is eliminated, and basic data quality is improved; based on hydrological analysis of a three-dimensional discretization grid model, accurate identification of watershed boundaries of a watershed is realized, a spatial topological relation of multiple water source contribution sub-regions is defined, and water source contribution quantification precision is enhanced.

The application discloses a kind of multi-scale fusion ecological hydrology interaction quantification method, it is related to the technical field of ecological hydrology, comprising: step 1: collection environment driving data and remote sensing data;Step 2: remote sensing data is preprocessed, and water hydrological process dynamic monitoring and ecological parameter collaborative inversion are carried out in combination with environment driving data, respectively obtain hydrological data and ecological index;Step 3: utilize hydrological data, ecological index and environment driving data to build space-time data set;Step 4: build bidirectional LSTM neural network model, and utilize space-time data set to train optimization, obtain water quantity change predicted value, lag time and corresponding ecological variable;Step 5: according to water quantity change predicted value, lag time and corresponding ecological variable carry out lag effect analysis, and construct the interaction quantification network diagram of ecological hydrological element.The application realizes sand lake basin ecological hydrological process dynamic coupling relationship quantification, provides theoretical support for resource optimization management and ecological restoration engineering.

The invention relates to the technical field of water environment protection and water resource management, solves the technical problems of limitation of a single water body and a single element in an existing lake and catchment basin water environment and water ecology evaluation method, and particularly relates to a lake basin hydrology-water ecology function comprehensive evaluation method and a partition management system. According to the method, a watershed-lake-entering estuary-lake area integrated water system is taken as an object, a lake and a catchment area of the lake are divided into a plurality of evaluation units, a comprehensive index WEFI is obtained through a weighting model, a function grade and a dominant degradation type are judged in combination with a threshold value, and a hydrological-water ecological function partition is delimited based on adjacency and difference constraints. The system comprises a drainage basin monitoring subsystem, an evaluation and partitioning subsystem and an information display and management subsystem, data access, index calculation, partitioning display and measure recommendation are achieved, the hydrological process, the ecological structure and the water quality pressure can be represented in a unified mode in the lake drainage basin scale, and a quantitative basis is provided for water function improvement and fine management.

This invention provides a method and system for calculating farmland runoff storage capacity in the Chaohu Lake Basin based on AI-based runoff-generator coupling simulation. It relates to the fields of hydrological and water resources simulation and engineering scheduling. The method includes: acquiring underlying surface and hydrological data of farmland and multi-level ditch-pond and wetland storage systems in the Chaohu Lake Basin; constructing a runoff-generator coupling model constrained by both AI algorithms and hydrophysical mechanisms to characterize the runoff process from farmland to ditches and wetlands grid by grid; inputting real-time soil moisture, water level, and flow monitoring data into the runoff-generator coupling model to dynamically simulate the runoff process after heavy rainfall hourly, obtaining a non-constant runoff curve reflecting the peak runoff and the runoff process; and dynamically identifying multiple feature control points with precise spatiotemporal coordinates from the non-constant runoff curve. This invention enables refined simulation of the runoff process in the polder area and reasonable and effective allocation of storage capacity.

The invention discloses a method for representing corrosion evolution of a fractured lake basin carbonate reservoir by tectonic movement, and belongs to the technical field of oil and gas reservoir geological evaluation. The method comprises the following steps: firstly, establishing a karst vertical distribution mode in an adjacent outcrop area by adopting'four-point calibration '; secondly, based on an outcrop mode, clamping an underground structure-karst interface and a range by utilizing multi-information fusion of well drilling, rock core and well logging; thirdly, quantifying the independent corrosion contribution of different-period tectonic movement of a single well point by adopting a layer-by-layer decreasing method; and finally, constructing a trinity model by taking single well data as a point, a regional trend as a line and an earthquake inversion three-dimensional body as a surface, and dynamically recovering a multi-stage structure-karst evolution process. According to the method, the fine quantitative characterization of the multi-stage superposition type rock reservoir is realized, and the technical advantage of quantitative characterization of the multi-stage corrosion transformation of the carbonate rock is formed.

The invention provides a plateau lake basin vegetation degradation early warning method based on a space-time diagram convolutional network, which comprises the following steps: acquiring multi-source remote sensing data to construct a space-time diagram convolutional network model, and matching model node information with a data space-time position; inputting historical vegetation degradation data to the model, wherein the data feature dimension is consistent with the model node feature; generating a space-time evolution characteristic graph according to a prediction result output by the model and sending the space-time evolution characteristic graph to an early warning platform; after verification is passed, early warning information is stored and sent to a watershed ecological management system; and if the confirmation signal is not received, adding the early warning information into a reissuing queue, carrying out reissuing processing according to a preset interval sequence, and deleting the early warning information from the queue after successful reissuing. The timeliness and scientificity of ecological management of the drainage basin can be improved.

This invention relates to a sunken green space structure and construction method suitable for the Taihu Lake basin. The sunken green space structure includes a sunken green space and a water quality control overflow well installed in the sunken green space. The sunken green space includes: a basic impermeable layer; a graded crushed stone drainage layer installed on the basic impermeable layer; a modified soil filter layer installed on the graded crushed stone drainage layer; a planting soil layer installed on the modified soil filter layer; and a water storage layer installed on the planting soil layer. This application solves the long-term waterlogging problem caused by slow soil infiltration and high groundwater level in the Taihu Lake basin from the root by the synergistic effect of the basic impermeable layer isolating high groundwater backflow and the perforated blind pipe forcibly draining infiltrated rainwater. By forming a negative pressure zone to actively induce infiltration, it actively overcomes the natural limitation of poor clay permeability and ensures the applicability of the system in this area.

The invention provides a method, system and device for determining the deposition and carrying distance of salinized lake basin fine debris particles and a storage medium, and the method comprises the steps: setting assumed conditions, carrying out the stress analysis of the fine debris particles, and determining the stress characteristics of the fine debris particles; a calculation formula of the final speed of fine fragment particle sedimentation is obtained through analysis and derivation on the basis of stress characteristic analysis; deriving a calculation formula of the actual horizontal carrying distance of the fine debris particles in the water body space; establishing a relation chart of the water body mineralization degree, the water body density and the water body viscosity, performing quadratic polynomial fitting, and determining the water body density and viscosity values of the salinized lake; collecting granularity analysis experimental data of the to-be-tested research area, and determining the diameter of fine debris particles; and substituting the obtained actual value into a horizontal carrying actual distance calculation formula to obtain a carrying distance under the conditions of the same depth and different salinity so as to guide sedimentary facies map compilation. Compared with the same water tank deposition simulation experiment, the method provided by the invention has higher accuracy in the aspect of sediment carrying distance measurement.

The invention discloses a lake basin ancient landform restoration method constrained by a deep and shallow double-anchor-point geological mode, and the method comprises the steps: carrying out the well seismic calibration of a target work area, and carrying out the tracking and interpretation of a seismic horizon; a high-precision sequence stratigraphic framework is established, and denudation amount recovery is carried out in combination with the structure trend; carrying out stratigraphic dip angle correction; phase-control multi-step coupling compaction correction is carried out; identifying and dividing a deepwater delta area and a shallow water beach bar area by combining a seismic section and logging information; the paleo-water depth of the deepwater delta area is determined through a delta front build-up thickness method; the paleo-water depth of the shallow water beach bar area is determined through a beach bar and sand bar thickness method; the elaborately recovered ancient landform of the deepwater delta area and the elaborately recovered ancient landform of the shallow water beach bar area are integrated, and the ancient landform of the whole lake basin is three-dimensionally and elaborately recovered. According to the method, a delta front accumulation layer thickness method and a beach bar and sand bar thickness method are combined to serve as deep and shallow double anchor points, correction is conducted in combination with the paleo-water depth, and the paleo-landform of the lake basin is finely recovered.

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.