6results about How to "Fine characterization" patented technology

This invention discloses a multi-scale time-frequency analysis method and system for ocean current meter signal processing, relating to the field of marine information processing. The method includes: S1: acquiring raw data and performing physical benchmark correction to obtain three-dimensional current velocity data and basic mass labels; S2: extracting first and second features from the three-dimensional current velocity data through spatiotemporal decoupling; S3: fusing and separating the three-dimensional current velocity data based on the first and second features to obtain an optimized set of flow field parameters, and generating the uncertainty of each parameter by combining the basic mass labels and error source information; S4: performing comprehensive quality assessment and grading based on the first and second features and the uncertainty, outputting a data product with mass labels and uncertainty information. By extracting spatiotemporal dual-dimensional features and using them to guide signal fusion and quality assessment, highly robust processing of ocean current data and end-to-end quality traceability are achieved, significantly improving the reliability of the data product.

The invention relates to the technical field of oil and gas exploitation, and particularly discloses an unconventional fracturing complex fracture network expansion simulation method based on uncertainty modeling, and the method comprises the steps: calculating the half length of a fracture based on perforation reservoir parameters obtained through logging and other methods in combination with an analytical fracture expansion simulation method; carrying out complex fracture network simulation by taking the fractal probability as a constraint and combining with a fracture growth algorithm with fractal probability random distribution characteristics to obtain reservoir complex fracture network form distribution; and finally, fracturing construction monitoring pump pressure fitting is performed based on an intelligent algorithm, the volume and form of the complex fracture network are inversely corrected, and real-time expansion simulation of the complex fracture network in the fracturing process is realized. According to the method, the complex branch fracture form can be depicted more finely, meanwhile, the calculation speed is high, and real-time simulation of the complex fracture net form in the fracturing process can be achieved; the method achieves the efficient and accurate simulation of the fracture form under the condition that the crustal stress of the reservoir is not clearly known, and provides an effective technical means for the fracturing construction design of the unconventional reservoir.

This invention relates to the fields of medical data analysis and artificial intelligence, proposing a dual-latent variable decoupled data analysis method based on plasma Netrin-1 and clinical scale features. First, plasma Netrin-1 test data and clinical characteristics such as UPDRS scale scores and disease duration are acquired from the subjects. Batch effect correction is applied to the raw test values, and an input feature vector is constructed. Then, a variational autoencoder model is established. By setting orthogonal constraints, Netrin-1 regression constraints, and disease duration regression constraints, the latent space is structurally constrained, enabling the model to learn latent variables D representing disease progression and C representing adaptive changes during training. Based on this, an efficiency index η composed of latent variables C and D is calculated, and relevant trend indicator parameters are obtained by combining longitudinal follow-up data. This method can achieve decoupled representation of disease-related features and adaptive change features in multi-source clinical data, providing a new data analysis tool for statistical analysis and research of neurodegenerative disease-related data.

This invention relates to the field of interference source analysis technology, and provides a method and system for interference source analysis in partial discharge measurement of large oil-filled equipment, comprising: Step 1, acquiring the original acoustic signature signal of the large oil-filled equipment in operation; Step 2, preprocessing the original acoustic signature signal, including filtering, multi-stage downsampling, and acoustic signature data enhancement; Step 3, extracting the acoustic features of the preprocessed acoustic signature signal, including time-domain features, frequency-domain features, and time-frequency-domain features; and then performing multi-domain acoustic feature fusion; Step 4, based on the acoustic features, constructing a multi-domain feature-driven interference source classification model to identify and classify different types of interference sources; Step 5, based on the interference source identification results, suppressing interference in the original acoustic signature signal and extracting effective partial discharge signals. This invention can perform interference source analysis more effectively.

This invention belongs to the field of oil and gas extraction technology, and relates to a method, system, equipment, and medium for quantitative evaluation of sand body structure in tight sandstone reservoirs. The method identifies sand body structure types based on well logging curves, sedimentary characteristics, and sand body size, obtaining sand body structure type characteristics. Based on these characteristics, it finely characterizes the vertical stacking and lateral contact relationships of multi-stage channel sedimentary sand bodies. Well logging parameters characterizing the sand body structure are obtained from the well logging curves. Quantitative evaluation parameters for the sand body structure are obtained based on these parameters and the main controlling factors. The internal contact relationships and quantitative evaluation parameters are used to comprehensively evaluate the internal heterogeneity of the tight sandstone reservoir sand body structure. This invention, through the identification and classification of sand body structures, achieves a fine characterization of the spatial combination and distribution of sand bodies, solving the problem of quantitative evaluation of sand body structure and effectively guiding the fine exploration and development of tight sandstone reservoirs.

This invention belongs to the field of unconventional gas reservoir evaluation and discloses a quantitative evaluation method and related equipment for the utilization of reserves in fractured low-porosity sandstone gas reservoirs. First, the method obtains the physical properties and production parameters of the gas reservoir to be evaluated, providing basic data support for the evaluation. Then, by utilizing a pre-constructed multi-scale media fusion geological model of matrix, fractures, and faults, it can fully consider the coupled seepage mechanisms and flow regime differences of multiple complex media, thereby more accurately assessing the recoverable reserve range at the matrix and fracture levels of each reservoir. This not only improves the accuracy of the evaluation but also avoids evaluation bias caused by ignoring media differences. Finally, based on the recoverable reserve range of the pure matrix and the recoverable reserve range of the fractures, a recoverable and unrecoverable reserve boundary is established, achieving a precise quantitative evaluation of the reserve utilization of the gas reservoir to be evaluated. This provides a scientific basis for the design of the gas reservoir development scale, helps to achieve long-term stable production of the gas reservoir, and avoids the waste of development and construction funds.