2 results about "Mire" patented technology

The invention relates to a marine environment marsh deposition identification method and device and electronic equipment, and the method comprises the steps: analyzing the paleostructure, the deposition background and the lithology of a target layer of a research area, and if the deposition environment is determined to be a marine deposition environment, analyzing the logging information of the target layer, and judging whether a logging section with preset logging characteristics exists or not; carrying out rock core slice observation on the logging section with the preset logging characteristics, and if a rock core section with the preset lithologic characteristics exists, obtaining a geochemical thermal weight loss result and an X diffraction analysis result of the rock core section; integrating a geochemical thermal weight loss result and an X diffraction analysis result to determine the lithology of the rock core section; if the lithology of the rock core section belongs to the first preset lithology type and the lithology of the upper layer and the lower layer of the rock core section is the second preset lithology type, the rock core section is the marsh deposition of the marine facies environment. According to the method, the marsh deposition in the marine environment is identified by utilizing a deposition, geochemistry and logging comprehensive research technology, and support is provided for oil field exploration and development.

The application provides a mountainous marsh wetland carbon storage evaluation method based on remote sensing and ground investigation, comprising the following steps: obtaining remote sensing data, terrain and hydrological basic data, climate data, human activity and disturbance data and ground investigation data to obtain a multi-source original data set; constructing a global hydrological state grid sequence, a disturbance event library and a terrain partition based on a feature tensor to obtain a space-time reference data package; performing field sampling and measurement according to peat thickness prediction and thickness variance prediction to obtain field measurement data; calculating and performing multi-task learning on a carbon pool set to obtain a multi-carbon pool joint prediction model, and outputting predicted total carbon storage; and constructing an explainability analysis equation to perform explainability analysis on carbon storage changes. The application can realize global, quantifiable uncertainty and explainable carbon storage evaluation in mountainous marsh wetlands.