Subsurface sedimentary structure identification using deep learning: A review
The reliable identification of subsurface sedimentary structures (ie, geologic heterogeneity)
is critical in various earth and environmental sciences, petroleum reservoir engineering, and …
is critical in various earth and environmental sciences, petroleum reservoir engineering, and …
Cenospheres: A review
N Ranjbar, C Kuenzel - Fuel, 2017 - Elsevier
Cenospheres are one of the most value added fractions of coal fly ash. They have a hollow
spherical structure and can be applied in many industrial applications, due to their superior …
spherical structure and can be applied in many industrial applications, due to their superior …
Reservoir facies classification based on random forest and geostatistics methods in an offshore oilfield
Abstract Machine learning methods are increasingly employed in various seismic and
petrophysical methods for parameter estimation, interpretation, prediction, and classification …
petrophysical methods for parameter estimation, interpretation, prediction, and classification …
[HTML][HTML] 地质统计学在含水层参数空间变异研究中的应用进展与发展趋势
薛佩佩， 文章， 梁杏 - 地质科技通报, 2022 - dzkjqb.cug.edu.cn
科学合理评价地下水资源, 对统筹规划, 合理开发利用区域地下水, 保障区域生态环境安全至关
重要. 获取含水层参数空间变异规律是解决地下水渗流, 污染物运移, 地下水开发利用等诸多 …
重要. 获取含水层参数空间变异规律是解决地下水渗流, 污染物运移, 地下水开发利用等诸多 …
Transition probability‐based stochastic geological modeling using airborne geophysical data and borehole data
Geological heterogeneity is a very important factor to consider when developing geological
models for hydrological purposes. Using statistically based stochastic geological …
models for hydrological purposes. Using statistically based stochastic geological …
Modeling complex geological structures with elementary training images and transform‐invariant distances
G Mariethoz, BFJ Kelly - Water Resources Research, 2011 - Wiley Online Library
We present a new framework for multiple‐point simulation involving small and simple
training images. The use of transform‐invariant distances (by applying random …
training images. The use of transform‐invariant distances (by applying random …
Estimating RMR values for underground excavations in a rock mass
During underground excavations for civil or mining engineering purposes, the variations in
rock mass quality are important, especially for the design of the most suitable support to be …
rock mass quality are important, especially for the design of the most suitable support to be …
Complex lithology prediction using mean impact value, particle swarm optimization, and probabilistic neural network techniques
Y Gu, Z Zhang, D Zhang, Y Zhu, Z Bao, D Zhang - Acta Geophysica, 2020 - Springer
Lithology prediction is a fundamental problem because the outcome of lithology prediction is
the critical underlying data for some basic geological work, eg, establishing stratigraphic …
the critical underlying data for some basic geological work, eg, establishing stratigraphic …
Depositional environment of the Kef Essennoun phosphorites (northeastern Algeria) as revealed by P2O5 modeling and sedimentary data
M Dassamiour, H Mezghache, O Raji… - Arabian Journal of …, 2021 - Springer
Abstract The Kef Essennoun phosphorite deposit belonging to the Djebel Onk–Gafsa–
Metlaoui Basin is the most important phosphorite deposit in Algeria. It occurs as a monocline …
Metlaoui Basin is the most important phosphorite deposit in Algeria. It occurs as a monocline …
Geostatistical analysis and hydrofacies simulation for estimating the spatial variability of hydraulic conductivity in the Jianghan Plain, central China
This study evaluated the spatial variability of hydraulic conductivity (K) along the Han River
watershed in the Jianghan Plain (China) by using different geostatistical methods. The K …
watershed in the Jianghan Plain (China) by using different geostatistical methods. The K …