Accurate identification of lithology is the basis and key process fine logging interpretation evaluation. However, reservoirs formed by different sedimentary environments tectonic movements generally have characteristics complex diverse strong heterogeneity, which brings great difficulty to reservoir lithology. This paper proposes an automatic technology for based on GWO-SVM algorithm model. Th...

Lithology identification using well log data plays an important part in formation characterization and reservoir exploration. Recent years, the development of machine learning has provided new technologies for lithology research. Most existing studies utilized supervised algorithms, which needs a large quantity labeled well-logging to train model. Labeling logging is usually accomplished by acq...

This paper presents a hierarchical analysis of stream ecosystem distribution and sensitivity to natural and anthropogenic disturbances for the Bighorn National Forest, Wyoming. We designated stream gradient, flow regime, and lithology as environmental parameters that would result in the most robust, readily applied, and parsimonious description of physical and chemical characteristics of indivi...

Merging hyperspectral data from optical and thermal ranges allows a wider variety of minerals to be mapped and thus allows lithology to be mapped in a more complex way. In contrast, in most of the studies that have taken advantage of the data from the visible (VIS), near-infrared (NIR), shortwave infrared (SWIR) and longwave infrared (LWIR) spectral ranges, these different spectral ranges were ...

We examine patterns of occurrence of associated dinosaur specimens (n = 343) from the North American Upper Cretaceous Hell Creek Formation and equivalent beds, by comparing their relative abundance in sandstone and mudstone. Ceratopsians preferentially occur in mudstone, whereas hadrosaurs and the small ornithopod Thescelosaurus show a strong association with sandstone. By contrast, the giant c...

How to achieve high-precision detection and real-time deployment of the lithology intelligent identification system has significant engineering implications in geotechnical, geological, water conservation, mining disciplines. In this study, a lightweight model is proposed overcome problem. The MobileNetV2 utilized as basic backbone network decrease operation parameters. Furthermore, channel att...