Web8 apr. 2024 · The mafic index (MI) = (B13-0.9147) × (B10-1.4366) of ASTER (A) thermal bands and a combined band ratio of S2B and ASTER of (S2B3+A9)/(S2B12+A8) were dramatically successful in discriminating the ophiolitic assemblage, that are considered the favorable lithology for the gold mineralization. WebThis study focuses on subsurface lithology and to predict groundwater zone which is correlated to the regional geological map. Measurement of resistivity method is actively to inform resistivity variation in the research area. Estimation of subsurface lithology is obtained by the distribution of resistivity values to depth.
Expert-Independent Generalization of Well and Seismic Data Using ...
Web28 jun. 2024 · Therefore, spectral gamma-gamma logging in conjunction with fuzzy inference modeling for lithology prediction enables timely interpretation and classification of iron ore lithology and real-time decision making. Author Contributions. M.C.K. and A.K. conceived the paper and reviewed background research. WebThis work critically evaluated the applicability away machine learning methodology applied to automated well log creation towards reliable lithology prediction and subsequent reservoir characterization to overcome the computationally intensive and laborious manual research of well roundwood for improves the cost of exploration, better accurate of predictions, … how to know about generators
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Web18 nov. 2024 · The FORCE 2024 Lithology Prediction ML competition is over. The challenge was to predict lithology (type of rock) from physical measurements collected … WebThe prediction was made based on the 3D seismic survey data and well information on the early exploration stage of the studied field. The results ... learning model in order to restore a continuous sequence of lithology classes along the wellbore, using surrounding spatial attribute values. In this study, ... WebLandslide susceptibility assessment using machine learning models is a popular and consolidated approach worldwide. The main constraint of susceptibility maps is that they are not adequate for temporal assessments: they are generated from static predisposing factors, allowing only a spatial prediction of landslides. Recently, some methodologies have … how to know about marriage by palm reading