Results 11 to 20 of about 394 (185)
The Urho Formation in the Lower Permian System at the Junggar Basin in China commonly develops zeolite cements. The presence of zeolite minerals in various states of occurrence and uneven distribution in glutenite reservoirs makes it indeterminate to ...
Jia Jun +4 more
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Construction of Permeability Calculation Model of Glutenite in the Northern Steep of DX Sag [PDF]
In recent years, the glutenite reservoirs are the hot spots of oil and gas exploration. However, the glutenite has various lithologic types, diverse rock components, complex pore structure and strong reservoir heterogeneity, which makes it difficult to ...
Chen Shousong
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The Triassic Baikouquan Formation glutenite in the Junggar Basin of western China is rich in tight oil resources. Due to the presence of gravels with varying composition and strength in the glutenite, the mechanical characteristics of the glutenite are ...
Liuke HUANG +5 more
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PetroChina’s Xinjiang oilfield has a large quantity of tight oil reserves and hydraulic fracturing technology has been widely used to achieve commercial production.
Shuai Yang +4 more
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The geometry heterogeneity induced by embedded gravel can cause severe stress heterogeneity and strength heterogeneity in glutenite reservoirs, and subsequently affect the initiation and propagation of hydraulic fractures.
Jing Tang, Bingjie Liu, Guodong Zhang
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The pore structure of glutenite in Bozhong 19-6 Gasfield is complicated. In order to improve the estimation accuracy of permeability, it is necessary to start with the pore structure and find the pore structure factor with the best correlation with ...
Chen Song +4 more
doaj +2 more sources
Due to the strong non-homogeneity and complex pore structure of glutenite reservoirs, it isn’t easy to accurately reflect the oil content of the reservoir through resistivity response. However, the traditional two-component three-dimensional (3D) digital
WANG Min
doaj +2 more sources
Application of depth learning in prediction of glutenite reservoir
Sedimentary facies of gravel reservoir has the characteristics of multiple sources and short flow. Sand body thickness changes rapidly in plane and space. Model-based multi-attribute regression seismic reservoir prediction method often results in unreasonable inter-well prediction results because of insufficient generalization ability of the model. For
Meng Dong
openaire +3 more sources
Permeability calculation for glutenite reservoirs based on variable T2 cutoff value in nuclear magnetic resonance logging [PDF]
Due to the strong heterogeneity of glutenite reservoirs, conventional well logging or nuclear magnetic resonance (NMR) logging alone often fails to achieve satisfactory evaluation results.
Changqiang Ma +4 more
doaj +2 more sources
As an important oil and gas exploration target area in continental rift basins, the sedimentary bodies in the steep slope zone are mainly composed of glutenite, featuring proximal and rapid accumulation, forming glutenite reservoirs with high porosity ...
Haitao Liu +8 more
doaj +4 more sources

