72 results about "Lake basin" patented technology

The invention discloses a multi-scale fusion ecological hydrological interaction quantification method, and relates to the technical field of ecological hydrology, and the method comprises the steps: 1, collecting environment driving data and remote sensing data; 2, preprocessing the remote sensing data, and carrying out hydrological process dynamic monitoring and ecological parameter collaborative inversion in combination with environment driving data to respectively obtain hydrological data and ecological indexes; 3, constructing a spatio-temporal data set by using the hydrological data, the ecological indexes and the environment driving data; 4, constructing a bidirectional LSTM neural network model, and performing training optimization by using the spatio-temporal data set to obtain a water volume change predicted value, lag time and corresponding ecological variables; 5, lag effect analysis is carried out according to the water volume change predicted value, the lag time and the corresponding ecological variables, and an interaction quantification network diagram of the ecological hydrological elements is constructed. According to the method, the dynamic coupling relation of the ecological hydrological process of the sand lake basin is quantified, and theoretical support is provided for resource optimization management and ecological restoration engineering.

The invention belongs to the technical field of soil, and particularly relates to a method for quantitatively determining fluoride output loads in different land types of a lake basin. Comprising the following steps: S1, determining a fluoride source area of a lake basin, and determining the range of different land utilization types in the area; s2, collecting fluorides in the soil in the range of different land utilization types in the S1; s3, measuring A, A0 and Ah in different land utilization types by using an isotopic tracer technology based on the fluorides in the soil collected in the S2; and S4, on the basis of a result calculated in the S3, calculating fluoride-carried output loads in different land utilization types. According to the method, soil physicochemical property analysis is combined with an isotopic tracing technology, the sources and loads of different land utilization types of the particulate fluoride in the lake basin can be quantitatively analyzed, and the key areas of the sources of the particulate fluoride can be quantitatively identified according to the load source quantities of the particulate fluoride of different land utilization types; and then the key area is controlled.

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 relates to a multi-scale response analysis method of drainage basin runoff to a landscape pattern, ecological hydrological research is the basis of comprehensive management of a drainage basin, and the response relationship of the runoff to the landscape pattern is an important decision basis for integrated protection and systematic management of landscapes, forests, lakes, grasses and sand in the drainage basin. Taking the Poyang Lake basin as an example, the method comprises the following steps: establishing a basin SWAT model; determining parameter values of the Poyang Lake basin based on an SUFI-2 method and verifying the correctness of the parameter values; inputting parameters, and calculating the runoff volume of the Poyang Lake drainage basin through an SWAT model; constructing a landscape type division system of'landscape, water, forest field, lake, grass and sand 'based on land utilization / cover; selecting landscape indexes through collinearity diagnosis; the influence of landscape composition on the runoff is discussed by utilizing correlation analysis methods such as a scatter diagram, a Pearson's correlation coefficient and a geographically weighted regression model, and the response of the runoff to the landscape pattern is revealed in landscape and type scales. According to the method, the Poyang Lake basin is taken as a research object, runoff simulation and landscape pattern analysis are respectively carried out by utilizing an SWAT model and Fragstats software, and nonlinear characteristics of runoff response to landscape composition and landscape pattern are revealed.

The invention provides a method and a device for determining spatio-temporal evolution of clastic rock diagenetic fluid in a fractured basin. The method for determining spatio-temporal evolution of clastic rock diagenetic fluid in the fractured basin comprises the following steps: acquiring authigenic minerals at different structural positions of the fractured basin; wherein the authigenic minerals comprise carbonate, quartz secondary enlargement and anhydrite; determining the paleofluid temperature of the authigenic mineral according to the uniform temperature of the saline inclusion of the authigenic mineral and the uniform temperature of the hydrocarbon inclusion; and determining the spatio-temporal evolution process of the clastic rock diagenetic fluid of the broken basin according to the paleo-fluid temperature, the predetermined burying history of the broken basin and the paleo-ground temperature gradient. According to the method, the activity time range of diagenesis fluid in clastic rock reservoirs at different structural positions is determined, so that fluid difference evolution modes of different structural positions of the broken lake basin are established, and technical support is finally provided for predicting causes of high-quality clastic rock reservoirs.

The invention discloses a physical deposition simulation experiment design planning method based on artificial intelligence, and particularly relates to the field of physical experiments, and the method comprises the following steps: S100, collecting a large amount of known actual data of ancient lake basins and modern lake basins; step S200, classifying and labeling the collected data, and establishing a lake basin parameter database; s300, establishing a lake basin parameter prediction model by taking the geographical environment and climate conditions of the lake basin as input characteristics and taking various parameters of the lake basin as output targets; step S400, training the lake basin parameter prediction model by using the collected lake basin parameter database; step S500, in combination with a similarity principle, predicting an initial value of lake basin data suitable for laboratory setting; and step S600, carrying out experiment design, and carrying out a simulation experiment. According to the method, the reasonable range of all parameters can be automatically calculated, the time for manually setting step by step is shortened, and the accuracy is improved.

The invention discloses a lake ecological water transfer water age-carbon emission multi-objective optimization method based on an agent model. The method comprises the following steps: constructing a lake basin hydrological model based on an SCS-CN model and an impervious area method; an EFDC hydrodynamic model is constructed; estimating the average water age of the lake based on a Lagrangian particle tracking method, and estimating ecological water transfer carbon emission according to the lake inlet flow of the water transfer project; training based on a random forest regression model to obtain an agent model which takes the ecological water transfer control parameters and the basin confluence into lake flow as input and takes the average water age of the lake and the ecological water transfer carbon emission as output; constructing a multi-target collaborative optimization model for minimizing the average water age of the lake and minimizing the carbon emission of ecological water transfer according to the agent model; and solving the multi-objective collaborative optimization model. According to the method, combined optimization scheduling of water age improvement and carbon emission minimization of the urban lake area is realized, the ecological stability and low-carbon operation capability of the urban lake area are enhanced, and the method can be applied to the technical field of ecological regulation and control.

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 provides a bird habitat quality assessment method and device for a large lake watershed, and is applied to the technical field of bird habitat quality assessment, and the method comprises the steps: obtaining land utilization data and bird biodiversity data of a target region, the target region comprising a plurality of different climate regions; based on the bird biodiversity data and the land utilization data, differentially adjusting and optimizing the habitat suitability parameters and the threat factor sensitivity parameters of the large lake basin for different climate regions to obtain a plurality of large lake basin bird habitat quality optimization parameter sets corresponding to the different climate regions; rasterizing the land utilization data and the threat factor data to obtain rasterized data; and inputting the rasterized data and the optimization parameter set into a preset InVEST model to carry out habitat quality evaluation, and obtaining an optimized habitat quality evaluation result. According to the method, the applicability of the model in big lake basin bird habitat quality evaluation can be improved in combination with bird ecological characteristics.

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 invention provides a brine salt production system optimization technology innovation integration before drying of periodic drought and flood alternation type salt lake ecological management, belongs to the technical field of salt lake ecological management and resource comprehensive utilization, and particularly relates to a brine salt production system optimization technology innovation integration before drying of periodic drought and flood alternation type salt lakes by taking ecological management as a primary task and in a window period before drying of the periodic drought and flood alternation type salt lakes. Through digital regulation and control and multi-technology system optimization integration, the integrated system and method for reducing the source of salt-alkali dust storm, recovering high-value salt resources, realizing zero emission of old brine and quickly recovering an ecological base are realized. The integrated system has the following remarkable benefits: the ecological benefits are excellent: white tornado type salt-alkali dust storm formed after the periodic drought and flood alternating type salt lake is dried up is effectively eradicated, the discharge flux of the salt-alkali dust is reduced to be less than or equal to 5 mu gms, and the dust source reduction rate is gt; 92%; after treatment, the vegetation coverage rate of the lake basin is not less than 40% in one year and not less than 70% in three years. The recovery rate of NaSOis is not less than 90%, and the recovery rate of NaCl is not less than 85%.

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 invention relates to a method for identifying a crude oil source of a continental freshwater lake basin, which comprises the following steps: (1) collecting hydrocarbon source rock samples with different buried depths, and analyzing to obtain a special biomarker compound value and vitrinite reflectivity Ro in saturated hydrocarbon of the hydrocarbon source rock samples; (2) establishing and screening a first fitting relationship between the value of the special biomarker compound in the saturated hydrocarbon and the vitrinite reflectivity Ro, wherein the screening standard is that the correlation is not less than 0.65; establishing a second fitting relationship between the vitrinite reflectivity Ro and the buried depth of the hydrocarbon source rock sample; (3) analyzing to obtain the special biomarker compound value of the crude oil sample in the target freshwater lake basin, and converting the equivalent maturity Rc of the crude oil according to the first fitting relation established in the step (2); and (4) identifying the source of the crude oil according to the equivalent maturity Rc of the crude oil obtained in the step (3) and the second fitting relation established in the step (2).

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 belongs to the field of hydrology, and relates to a river-through lake water flow exchange capacity calculation method, which comprises the following steps: 1) acquiring a data set for modeling in a target time period; 2) constructing a river-through lake outflow process model based on the data set for modeling in the target time period obtained in the step 1); 3) acquiring actual measurement data of other time periods except the target time period, wherein the actual measurement data comprises the incoming water flow of the main and branch flows of the river and lake basin, the water level of the main and branch flows of the river and lake basin and / or the rainfall data of the monitoring station; and 4) inputting the measured data obtained in the step 3) into the outflow process model of the river-through lake constructed in the step 2), and outputting a predicted value of the water flow exchange capacity of the river-through lake to complete prediction or calculation of the water flow exchange capacity of the river-through lake. The invention provides the calculation method for the water flow exchange capacity of the river-through lake, which is small in limitation and accurate in prediction result.

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.

The present disclosure relates to the technical field of unconventional oil and gas exploration, and in particular to a method, device, storage medium and electronic device for determining the mineral content of shale oil and gas reservoirs. The method comprises: determining the mineral category and sedimentary environment category of the target reservoir; determining the mineral content evaluation model and mineral content relationship model parameters of the target reservoir according to the mineral category and the sedimentary environment category; determining the content of the first type of minerals in the mineral category; and determining the content of all non-first type minerals in the mineral category through the mineral content evaluation model according to the content of the first type of minerals and the parameters of the mineral content relationship model. Based on the advantages of good continuity and low cost of conventional logging data, and according to the differences in lake basin sedimentary environments, a quantitative evaluation model for the content of "ternary minerals" is proposed by analyzing the depositional laws of "ternary minerals", which provides an effective solution to the problem of quantitative evaluation of mineral content in terrestrial shale oil and gas reservoirs.

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 invention discloses a method for ecological restoration of rivers and lakes, which relates to the field of ecological governance technology and includes the following steps: Step 1: surveying the river and lake basins that need to be repaired; Step 2: detecting the usage of each water inlet in the basin; Step 3: performing ecological dredging work on the detected basin; Step 4: intercepting the microorganisms in the basin through a biological filter; Step 5: establishing ecological microbial protection in the basin; Step 6: re-stocking aquatic animals. By detecting the pollution conditions in the basin and at each water inlet, the water quality and microbial quantity conditions of different basins can be effectively analyzed, so as to better repair various areas in the basin, and by establishing ecological microbial protection, the microorganisms and bacteria in the water quality of the basin can be degraded by ecological microorganisms, thereby effectively preventing the continued growth of microorganisms and bacteria in the water quality, and degrading harmful microorganisms and bacteria in the water quality.

The invention relates to a quantitative recovery method for the paleo-water depth of a salinized lake basin, and belongs to the technical field of paleo-sedimentary environment research. According to the quantitative recovery method for the paleo-water depth of the salinized lake basin, the paleo-water depth of each deposition cycle can be recovered, the paleo-water depth accurate to different lithologic deposition periods in five-stage deposition cycles of a quasi-sequence can be recovered, and the accuracy is high; according to the quantitative recovery method for the paleo-water depth of the salinized lake basin, the paleo-water depth is calculated and determined through the mathematical physical relation, and compared with a fitting empirical formula calculation method, the method has the advantages of being accurate and reliable; the quantitative recovery method for the paleo-water depth of the salinized lake basin is suitable for research on paleo-environments of the salinized lake basin in different geological historical deposition periods, and the average paleo-water depth of the lake basin in different lithologic deposition periods in each quasi-sequence can be accurately recovered; and a basis is provided for research on stratigraphic sequence, sedimentary evolution, paleo-climate change in a sedimentary period and the like of the salinized lake basin.

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 invention belongs to the technical field of oil and gas resource evaluation, and particularly relates to a small and medium-sized broken lake basin oil and gas resource quantity fine calculation method. A fine calculation method for the oil and gas resource quantity of small and medium-sized broken lake basins comprises the following steps: replacing the residual organic carbon content in a cause method resource quantity calculation formula with organic carbon decrement to further calculate the oil / gas resource quantity, so that the calculated resource quantity is more scientific and accurate. Meanwhile, the method provided by the invention has very strong operability, particularly has very good applicability to numerous small and medium-sized broken lake basins in northern China, and has a very good popularization prospect in related research.

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 relates to a prediction method for an oil gas favorable area of a continental freshwater lake basin in a low exploration area, and belongs to the technical field of oil gas exploration and development. The method comprises the following steps: firstly, carrying out oil source comparison on an independent oil-gas-containing system found in a continental freshwater lake basin in a low exploration area so as to determine a hydrocarbon generation lower limit value of an effective hydrocarbon source rock; then according to test analysis of a single well and a region, a development layer section and lithology of the effective hydrocarbon source rock are determined, and then plane distribution characteristics such as the thickness, the abundance and the thermal evolution degree of the effective hydrocarbon source rock are depicted; and finally, according to superposition of three elements of abundance, thickness and thermal evolution degree of the effective hydrocarbon source rocks, determining a plane distribution range of the effective hydrocarbon source rocks, and the distribution range is a favorable distribution range of the oil-gas low exploration area.