11 results about "River delta" patented technology

The invention relates to the technical field of environmental monitoring and atmospheric pollution early warning, in particular to a Yangtze River Delta composite extreme weather ozone pollution early warning model construction method, which comprises the following steps of S1, acquiring high-resolution meteorological data and pollutant concentration data of a Yangtze River Delta region to form an original data set; and S2, carrying out missing value interpolation and abnormal value elimination on the meteorological data and the pollutant data, and carrying out grid alignment according to time and space to generate a unified spatial-temporal characteristic matrix. According to the method, by collecting Yangtze Delta high-resolution weather and pollutant data, performing data cleaning, bimodal feature coding and joint representation modeling, predicting the ozone concentration and generating regional early warning through multi-layer Transform self-adaptive attention, the problems that traditional ozone early warning mostly depends on a single-modal prediction model, and the reliability of the ozone early warning is greatly improved are solved. And due to the lack of multi-modal space-time dependent capture, the problem of early warning information lag is caused.

The invention relates to a construction method, device, equipment and medium of a complex geological reservoir model, and relates to the technical field of oil exploration and development. Comprising the following steps: combining obtained riverway scale parameter data obtained by field actual measurement, a three-dimensional digital outcrop profile of an outcrop profile of a research area, a geological knowledge database of configuration units at all levels of a sub-facies reservoir of the research area, and sedimentary microfacies distribution of the outcrop profile of the research area obtained by combining the riverway scale parameter data to obtain X, Y, Z, Z, Z and Z; performing two-dimensional training image slicing in three directions of Z and Z; and performing three-dimensional training image simulation on the two-dimensional training image slices by using an s2Dcd-DS coupling algorithm, and performing three-dimensional geological modeling by using a multi-point geostatistics modeling algorithm to obtain a three-dimensional geological model. According to the construction method provided by the invention, the complex geological conditions and structural characteristics of the complex geological reservoir such as the plains of the braided river delta can be effectively represented, and oil and gas distribution, well location deployment and remaining oil excavation of the braided river reservoir can be guided.

The invention belongs to the technical field of environmental monitoring and ecological risk assessment, and particularly relates to a Yangtze River Delta basin water ecological risk prediction method and system based on a Bayesian network model. The method comprises the following steps: firstly, constructing a water ecology risk assessment system, and preprocessing sample data; sub-basins are divided based on DEM data, and the sub-basins which are adjacent in space and similar in data feature are aggregated into non-overlapping data blocks; constructing a dynamic Bayesian network model by adopting a random variational inference method, and inputting meteorological prediction data to obtain probability distribution of risk levels of each sub-basin; constructing a risk space correlation model according to sub-basin division, and simulating conduction and superposition processes of risks in a basin network; and finally, evaluating the comprehensive risk state of each sub-basin in combination with a network topology index. By constructing the dynamic Bayesian network model and the risk space correlation network, the spatial-temporal dynamic assessment of the watershed water ecological risk is realized, and the propagation path and the cumulative effect of the risk in the watershed can be predicted.

The invention discloses a coastal salt marsh wetland non-photosynthetic vegetation coverage inversion method, which comprises the following steps: S1, obtaining hyperspectral reflection curves of soil, non-photosynthetic vegetation and photosynthetic vegetation of the coastal salt marsh wetland of the Yellow River Delta, simulating and measuring spectral characteristics of samples under different moisture contents (dry, low humidity, medium humidity and saturation) in a laboratory, and calculating the coverage of the non-photosynthetic vegetation in the coastal salt marsh wetland; key wave bands of non-photosynthetic vegetation and other ground features are screened and distinguished; s2, constructing a moisture-insensitive hyperspectral NPV index (MINI), and determining an optimal wave band combination through wave band traversal; and S3, constructing mixed data of soil, non-photosynthetic vegetation and photosynthetic vegetation under different moisture conditions in a laboratory, and evaluating inversion precision and stability of MINI under different moisture conditions. S4, acquiring a coastal salt marsh wetland hyperspectral image, and calculating an NDVI value and an MINI index value based on the processed image; and S5, performing spectral unmixing on the mixed pixels based on a triangular space method, and inverting the non-photosynthetic vegetation, photosynthetic vegetation and soil coverage of the research area. The method provided by the invention solves the technical problems of low precision and poor stability of the traditional NPV index inversion coverage under the condition that the coastal salt marsh wetland is influenced by tides and the moisture change is obvious.

The invention relates to the technical field of reservoir fine description, in particular to a small layer comparison method and device for deposition combination type control. The method comprises the steps that a logging standard layer is determined according to logging data, and a seismic standard layer is determined according to a three-dimensional seismic data body; oil layer group level stratigraphic comparison is completed on the established stratigraphic comparison skeleton profile of the research area by tracking a seismic standard layer and a logging standard layer; completing sandstone group level stratigraphic comparison on a seismic section by tracking a logging standard layer and comparing curve characteristics of the logging standard layer; and small-layer stratigraphic comparison controlled by a river delta deposition combination type is adopted to obtain a small-layer stratigraphic boundary at the well point. The method solves the problems that an existing small layer comparison method is narrow in application range and large in limitation, and particularly for a river-delta phase 2-5 m small layer stratum division process which is large in area, large in well number, thin in stratum and fast in phase change, the division process is difficult and tedious, the comparison precision is low, and the division result is not fine enough.

The invention relates to the technical field of vegetation remote sensing recognition and ecological monitoring, and particularly discloses a remote sensing recognition method for tamarix chinensis of the Yellow River delta based on an improved vegetation index. According to the method, remote sensing data acquisition and preprocessing are carried out by adopting a multispectral remote sensing image, targeted improvement is carried out on a traditional vegetation index structure according to spectral characteristics of tamarix chinensis in a red-edge wave band, tamarix chinensis / non-tamarix chinensis samples are constructed and a characteristic data set is generated, and automatic distinguishing of tamarix chinensis and non-tamarix chinensis areas is realized by combining a dichotomy model. And completing tamarix chinensis space distribution identification and result output. According to the method, the normalized difference item of the red-edge wave bands RE1 and RE2 is constructed in a combined mode according to the spectral characteristics of the tamarix chinensis, and the improved vegetation index is formed through the combined multiplication of the normalized difference item and the NDVI, so that the distinguishability and classification accuracy of the tamarix chinensis and the reed are enhanced, and the key technical problems that targets are not prominent, and classification is inaccurate are solved.

The invention belongs to the technical field of oil and gas field exploration and development, and provides a braided river delta front sedimentary microfacies determination method and related device.The method comprises the steps that the total stratum thickness of all layers of a target stratum is obtained, and the single sand body sandstone thickness in each layer of the target stratum is obtained; calculating sedimentary microfacies discrimination coefficients according to the total thickness of the stratum and the thickness of each single sand body sandstone, performing normalization processing on the sedimentary microfacies discrimination coefficients, and making classification intervals of the sedimentary microfacies discrimination coefficients corresponding to the microfacies; and drawing a normalized sedimentary microfacies discrimination coefficient graph according to the classification interval of the sedimentary microfacies discrimination coefficient corresponding to each microfacies, and making a sedimentary microfacies graph in combination with the logging facies. According to the method, the problem of misrecognition of a main river channel or a sand dam caused by accumulation of multiple layers of thin sand is solved, the operation difficulty is relatively low, the working efficiency is improved, quantitative recognition of the sedimentary microfacies is achieved, a basis is provided for future planning, deployment and potential tapping adjustment of an oil field, and a foundation is laid for economic and effective development of the oil field.

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

The invention discloses a seismic processing and prediction method for shallow water braided river delta reservoir sedimentary microfacies description. The method comprises the following steps: 1) performing spectral analysis and frequency division on an original seismic data volume; 2) performing resampling on low-frequency, high-frequency and original seismic data volumes; (3) time depth calibration is conducted on the vertical well; 4) extracting a well-side seismic trace in a target interval; 5) performing time-frequency spectrum analysis on the seismic trace beside the well; 6) constructing sample data by taking the well point sedimentary microfacies as a label; 7) obtaining a single well target interval sample; 8) summarizing all vertical well samples to form a sample set; according to the shallow water braided river delta reservoir interior sedimentary microfacies classification method, the problem that the sedimentary microfacies are difficult to accurately identify and describe by conventional seismic attributes and a traditional method under the conditions of multi-stage superposition of sedimentary units in a shallow water braided river delta reservoir and strong heterogeneity is solved.

Environmental barge with belt skimmer for spill response to oil pollution at sea. The environmental barge consists of an upper part with pontoons and a lower part with a bottom with an integrated hydrophilic filter. The environmental barge is designed so that at least four environmental barges can be stacked inside and on top of each other. Oil-mixed water is guided to the belt skimmer, which carries it up into the environmental barge, where the gravitational principle means that the oil pushes the water through the hydrophilic filter and back into the sea as the barge is filled with oil. The environmental barge can thus be completely filled with oil without increasing the draft. The environmental barge footprint is identical to a standard 20-foot container, and it has container corner castings, allowing significant spill response capacity to be quickly transported and deployed in areas where no other spill response capacity is available. The size of the environmental barge and the constant draft regardless of loading condition mean that the invention is particularly useful in coastal shallow water areas, marshlands and river deltas.

This invention belongs to the field of natural resource ownership registration technology. It provides a method for natural resource ownership registration based on a three-dimensional model, comprising: acquiring an initial three-dimensional terrain model of the area to be registered, discretizing it into a set of voxels with spatial coordinates, and introducing a time axis to construct a four-dimensional spatiotemporal framework; constructing a dynamic boundary surface function that changes over time based on hydrological monitoring data, and determining the resource attributes of voxels at any given time in real time through Boolean operations; statistically analyzing the duration of voxels under different resource attributes within a preset registration period; determining the ownership subject and share of rights corresponding to the voxels based on the duration percentage, storing the results in the three-dimensional terrain model, and generating dynamic ownership registration results. This method is adaptable to the ownership needs of various dynamic natural resource areas such as river deltas, intertidal zones, and seasonal wetlands, providing a standardized and precise technical solution for dynamic natural resource ownership registration.