2 results about "Background factors" patented technology

The application discloses a wheat ear detection method based on an improved YOLOv8s, which is suitable for improving wheat ear detection problems in a complex field environment, so as to realize rapid identification and effective counting of wheat ears. First, the application replaces a C2f module in a Backbone network by using a FasterBiNetBlock, which can reduce model parameters, reduce the number of calculation redundancies and memory accesses, and refine features of the model, so that more attention is paid to the wheat ears during detection, and interference of background factors such as wheat stems and wheat leaves is inhibited. Secondly, a new network structure EQFPN is proposed to strengthen a Neck network, so that the model has the characteristics of being friendly to quantization and hardware. Finally, a triplet attention module is introduced to capture cross-dimension dependency and wheat ear features, and meanwhile, problems such as false detection and missed detection during wheat ear detection are reduced.

The application discloses a kind of heterogeneous compact reservoir difference evolution model construction methods, belong to oil and gas geological exploration technical field, this method includes five core steps: first, core, experiment, well logging and seismic multi-source data are standardized and preprocessed;Then quantitative analysis reservoir porosity, permeability temporal and spatial variation and pore throat characteristics;Then dynamic source rock diagenesis process and quantize its intensity;Further, key factors such as sedimentary microfacies, diagenetic transformation intensity, tectonic activity frequency and burial depth are coupled, and the correlation function between them and reservoir densification degree is established;Finally, a visual model is constructed and optimized by validation data and regional geological background factors.The application solves the problems of multi-source data integration, evolution law quantization and poor model applicability, realizes the integrated dynamic characterization from micro-pore throat to macro-reservoir, significantly improves the prediction accuracy of high-quality reservoir, and provides reliable technical support for compact oil and gas reservoir exploration and development.