Results 11 to 20 of about 206,413 (198)
Deep Learning Logging Sedimentary Microfacies via Improved U-Net
Well logging data contain abundant information on stratigraphic sedimentology. Artificial identification is usually strongly subjective and time-consuming. Pattern recognition algorithms like SVM may not adequately capture the depth-related variations in
Yongxiang Hu +2 more
exaly +5 more sources
The study of sedimentary microfacies of horizontal wells is important for improving oil recovery using horizontal well technology. Vertical well data alone do not provide accurate enough information to determine the sedimentary microfacies of horizontal ...
Guangjuan Fan +6 more
exaly +4 more sources
Sedimentary microfacies refer to the smallest unit with unique rock structure, structure, thickness, rhythm, and other sedimentary characteristics and certain plane configuration rules in the subfacies zone.
Jiangwei Wei +5 more
doaj +3 more sources
The D Oilfield in the Songliao Basin has entered a critical phase of hydrocarbon exploration targeting the Quantou Formation. However, challenges persist in achieving precise stratigraphic division, sedimentary cycle characterization, and microfacies ...
Xudong Wang +3 more
exaly +4 more sources
The right bank of the Amu Darya Basin enjoys abundant natural gas resources, on which the Callovian-Oxfordian strata in the middle of Block B serve as the major horizons for natural gas production.
Chongyang Wu, Bingsong Yu
exaly +4 more sources
Sedimentary microfacies of Member 5 of Xujiahe Formation in the Dongfengchang area, Sichuan Basin
Member 5 of the Upper Triassic Xujiahe Formation (T3X5) in central Sichuan Basin has made a breakthrough in exploration recently. However, this new stratum has not been investigated sufficiently with respect to basic geology, making its types and ...
Yanqing Huang +7 more
exaly +4 more sources
Intelligent Identification Method of Sedimentary Microfacies Based on DMC-BiLSTM
Sedimentary microfacies division is the basis of oil and gas exploration research. The traditional sedimentary microfacies division mainly depends on human experience, which is greatly influenced by human factor and is low in efficiency. Although deep learning has its advantage in solving complex nonlinear problems, there is no effective deep learning ...
Ze Ren Luo +5 more
openaire +3 more sources
Depositional model of the fan delta of thick glutenite: Example from the Linhe Depression, Hetao Basin, China [PDF]
The thick glutenite formed in the Linhe Depression of the Hetao Basin during the Early Cretaceous offers notable exploration potential. However, the sediment comprises a rapidly stacked succession of glutenite featuring poor sortability, with the ...
Xiaofan Hao +9 more
doaj +2 more sources
To investigate pore characteristics and influencing factors of tight sandstones across various sedimentary microfacies, we conducted a comprehensive analysis using casting thin section identification, scanning electron microscopy, nitrogen adsorption ...
Liling Zhang +7 more
doaj +2 more sources
The central Persian Gulf is of paramount economic importance as it hosts the world’s largest gas field. Within this region, the Late Permian Dalan Formation and the Early Triassic Kangan/Upper Khuff Formation act as the primary gas reservoirs.
Majid Fakhar +2 more
doaj +2 more sources

