نتایج جستجو برای: improving geological models

تعداد نتایج: 1153840  

Journal: :Minerals 2021

Selecting internal hyperparameters, which can be set by the automatic search algorithm, is important to improve generalization performance of machine learning models. In this study, geological, remote sensing and geochemical data Lalingzaohuo area in Qinghai province were researched. A multi-source metallogenic information spatial was constructed calculating Youden index for selecting potential...

2007
Elena Nilsen Robert Rosenbauer Edward Furlong Mark Burkhardt

Elena Nilsen, U.S. Geological Survey, Geologic Division Robert Rosenbauer, U.S. Geological Survey, Geologic Division Edward Furlong, U.S. Geological Survey, Methods Research and Development Program Mark Burkhardt, U.S. Geological Survey, Methods Research and Development Program Stephen Werner, U.S. Geological Survey, Methods Research and Development Program Lisa Greaser, U.S. Geological Survey,...

Journal: :Trends in ecology & evolution 2017
Catherine Badgley Tara M Smiley Rebecca Terry Edward B Davis Larisa R G DeSantis David L Fox Samantha S B Hopkins Tereza Jezkova Marjorie D Matocq Nick Matzke Jenny L McGuire Andreas Mulch Brett R Riddle V Louise Roth Joshua X Samuels Caroline A E Strömberg Brian J Yanites

Topographically complex regions on land and in the oceans feature hotspots of biodiversity that reflect geological influences on ecological and evolutionary processes. Over geologic time, topographic diversity gradients wax and wane over millions of years, tracking tectonic or climatic history. Topographic diversity gradients from the present day and the past can result from the generation of s...

1997
Bruce R. Johnson Boyan Brodaric Gary L. Raines Gary Raines

AASG/USGS Geologic Map Data Model Committee* Gary Raines, Chairman, US Geological Survey, [email protected] Boyan Brodaric, Geological Survey of Canada, [email protected] Jim Cobb, Kentucky Geological Survey, [email protected] Ralph Haugerud, US Geological Survey, [email protected] Greg Hermann, New Jersey Geological Survey, [email protected] Bruce Johnson,...

2007
M. S. Zhdanov

Interpretation of potential and electromagnetic (EM) fields observed over 3D geological structures remains one of the most challenging problems of exploration geophysics. In this paper I present an overview of modern methods of inversion and imaging of gravity, magnetic, and EM data, which are based on new advances in regularization theory related to application of special stabilizing functiona...

Journal: :Computers & Geosciences 2014
J. Florian Wellmann Stefan Finsterle Adrian Croucher

The validity of subsurface flow simulations strongly depends on the accuracy of relevant rock property values and their distribution in space. In realistic simulations, this spatial distribution is based on two geological considerations: (1) the subsurface structural setting, and (2) smaller-scale heterogeneity within a hydrostratigraphic unit. Both aspects are subject to uncertainty, whereas t...

Journal: :JCP 2012
Yanlin Shao Ailing Zheng Youbin He Keyan Xiao

3D modeling method is divided into geospatial modeling and 3D geological modeling. 3D geological modeling technique has become a favorable tool for people to observe and analyze the geological body enriched in mineral resources. Unlike geospatial modeling, 3D geological modeling must consider various geological conditions affecting spatial shape and petrophysical distribution of geological body...

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