Regarding geoscience, the review has a bias towards geophysics but aims to strike a balance with geochemistry, geostatistics, and geology, however excludes remote sensing, as this would exceed the scope. In general, I aim to provide context for the recent enthusiasm surrounding deep learning with ...
MACHINE LEARNING OF GEOLOGY BY PROBABILISTIC INTEGRATION OF LOCAL CONSTRAINTSSystems and methods include a computer-implemented method: Seismic data is gathered for a reservoir with unknown fractured and unfractured areas. A structural model is generated. A geomechanical model is built. Geomechanically-...
Engineering Geology, 2022, 300: 106585. DOI:10.1016/j.enggeo.2022.106585 32. Ma, Y., Li, H., Wang, L. et al. Machine learning algorithms and techniques for landslide susceptibility investigation: A literature review | [机器学习方法在滑坡易发性评价中的应用]. Tumu yu Huanjing Gongcheng ...
To test if machine learning could help them narrow in on interesting geology sites, Donn and Beach focused on an area in northwestern Belize that was heavily vegetated and difficult to access. They concentrated on finding cave entrances deep in the forest that had yet to be been uncovered. Mik...
Geographical information system (GIS) is gaining its popularity beyond geography and information technology (IT) with its strong power in managing and analysing spatial data. In medical geology, GIS provides two main useful functions: (a) mapping and (b) spatial analysis. It contains specialised co...
Geology in China, 42(5): 1324-1336. (in Chinese with English abstract) Google Scholar WANG Z Y, ZUO R G, DONG Y N, 2020a. Mapping Himalayan leucogranites using a hybrid method of metric learning and support vector machine[J]. Computers & Geosciences, 138: 104455, doi:10.1016/j....
challenges faced by machine learning in the field of geological mapping are gradually being recognized: the vast demand for data volume, interference from irrelevant information, the “black box” problem, limitations in computing power, algorithm applicability, and data security, among others. To addr...
Deborah is a geologist/geophysicist with 44 years of oil and gas exploration experience in Texas, Louisiana Gulf Coast and Mid-Continent areas of the US. She received her degree in Geology from the University of Oklahoma in 1976 and immediately started working for Gulf Oil in their Oklahoma Cit...
BEIJING, May 21 (Xinhua) -- A group of researchers has proposed a novel physics-based and cost-effective landslide displacement prediction framework, according to a research article recently published in journal Engineering Geology. The prediction of landslide deformation is an important part of landsl...
Machine learning faces two difficulties in the evaluation of landslide susceptibility. One is the objective quantification of evaluation index, and the other is the selection of training sample-0.5pts. For that reason, the frequency ratio method is used to achieve the objective quantification of evalu...