Optimized algorithm for multipoint geostatistical facies modeling based on a deep feedforward neural network

Reservoir facies modeling is an important way to express the sedimentary characteristics of the target area. Conventional deterministic modeling, target-based stochastic simulation, and two-point geostatistical stochastic modeling methods are difficult to characterize the complex sedimentary microfa...

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Veröffentlicht in:	PloS one Jg. 16; H. 6; S. e0253174
Hauptverfasser:	Yao, Jianpeng, Liu, Wenling, Liu, Qingbin, Liu, Yuyang, Chen, Xiaodong, Pan, Mao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	San Francisco Public Library of Science 22.06.2021 Public Library of Science (PLoS)
Schlagworte:	Accuracy Algorithms Analysis Artificial intelligence Artificial neural networks Belts Biology and Life Sciences Computer and Information Sciences Deep learning Earth crust Earth Sciences Ecology and Environmental Sciences Editing Electronic mail Evaluation Evolution Funding Geological mapping Geology Geostatistics Image processing Image reconstruction Laboratories Lithology Modelling Neural networks Oil and gas exploration Oil and gas fields Oil exploration Oil field equipment Oil fields Orogeny Petroleum Physical Sciences Research and Analysis Methods Reservoirs Reviews Seismological data Simulation Statistical methods China Beijing China
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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