Lamination-Controlled Lithofacies Differentiation and Shale Oil Enrichment: A Case Study of the Qingshankou Formation, Songliao Basin. [PDF]
Yao Q +9 more
europepmc +1 more source
Pore Structure Heterogeneity Controlled by Mineral-Organic Associations in the Wufeng-Longmaxi Shale, Upper Yangtze Block, South China. [PDF]
Ge T +7 more
europepmc +1 more source
Water Vapor Adsorption Characteristics and Controlling Factor Analyses in Permian-Aged Organic-Rich Marine Gufeng and Dalong Formations in Northeastern Chongqing Area of China. [PDF]
Wang T, Hu Q, Yang X, Wang Q, Li S.
europepmc +1 more source
Differential reservoir formation mechanisms of shale oil reservoirs in the Qingshankou Formation, Cretaceous system, Songliao Basin. [PDF]
Qi Y +7 more
europepmc +1 more source
Shale Gas Lithofacies Classification and Gas Content Prediction Using Artificial Neural Network
Here, we show the contribution of the artificial intelligence such as neural network to predict the lithofacies in the lower Barnett shale gas reservoir.
Aliouane, Leila, Ouadfeul, S.
core
Quantitative characterization of pore development and its application in shale oil reservoirs of the Qingshankou formation, Songliao basin. [PDF]
Wang B, Yin M, Yuan D.
europepmc +1 more source
Trench sediment heterogeneity controls accretion mechanisms in subduction zone. [PDF]
Sanità E +5 more
europepmc +1 more source
Multi-scale fractures and faults in tight reservoirs: from characterization to engineering applications. [PDF]
Li H, Li Q.
europepmc +1 more source
Multiple machine learning algorithms for lithofacies prediction in the deltaic depositional system of the lower Goru Formation, Lower Indus Basin, Pakistan. [PDF]
Saleem MA +4 more
europepmc +1 more source
Duvernay shale lithofacies distribution analysis in the West Canadian Sedimentary Basin
Houqin Zhu +3 more
openaire +1 more source

