4 results about "Structural index" patented technology

This invention discloses a morphology-based method and system for classifying pores in tight reservoir porous media, comprising: acquiring microstructural images of rock tight reservoir samples using field emission scanning electron microscopy; labeling the SEM images with two types of samples, pores and matrix / background, as training sets, and training a segmentation model for rock samples; segmenting the sample SEM images using the trained segmentation model to generate binary images that identify the background and pores; automatically measuring pore morphology parameters based on the binary images to obtain pore roundness and aspect ratio; classifying pore shapes according to preset quantitative classification thresholds for pore roundness and aspect ratio, and outputting statistical classification results; this invention achieves a systematic and objective characterization of pore cross-sectional shape, transforming the traditional subjective judgment-dependent pore morphology description into a quantifiable and comparable structural index, solving the problem that traditional pore morphology classification relies on subjective judgment and lacks unified quantitative standards.

The application relates to the technical field of data processing, and discloses a large-span steel structure index prediction method based on Revit, which comprises the following steps: analyzing a target steel structure three-dimensional building information model, and extracting geometric entities and material attribute information; obtaining a key stress component set through structure topology analysis; performing characteristic engineering reconstruction on the components in the key stress component set to obtain cross-section characteristic parameters, connection node types and spatial positioning information; constructing a component relationship topology graph according to the connection node types and the spatial positioning information; parameterizing and packaging the component relationship topology graph, the cross-section characteristic parameters and the material attribute information to obtain a structured characteristic spectrum; correlating and mining the structured characteristic spectrum with a historical engineering case characteristic spectrum to obtain a performance index prediction conclusion, and mapping the conclusion to the corresponding components of the model and visually marking the conclusion; and the application can improve the efficiency of large-span steel structure index prediction based on Revit.

This invention relates to a method and process for shale oil reservoir lithofacies classification based on RGB fusion of well logging information. The method uses the first derivative of the reflection coefficient curve to divide rock units. For each rock unit, lithological indices are calculated using the root mean square of natural gamma logging, sedimentary structural indices are calculated using the roughness of resistivity logging curves, and oil-bearing indices are calculated using the root mean square of resistivity curves. The RGB color model is used to perform parameter fusion and color representation of the lithological, sedimentary structural, and oil-bearing indices of the shale reservoir. Different types of lithofacies color templates established using core sections are used to identify the lithofacies types of shale oil and gas reservoirs throughout the well section. This method achieves three-parameter fusion identification of shale reservoir lithofacies types, which is more intuitive and convenient.