A novel method for automatic quantification of different pore types in shale based on SEM-EDS calibration [PDF]
Pore type is a crucial consideration in the quantification of shale pores. Convolutional Neural Networks (CNNs) are widely used for identifying pore types in shale, but it is hampered by feature extraction bias, difficult data labeling, and poor ...
Xue, Haitao +7 more
core +1 more source
The Daqing exploration area in the northern Songliao Basin has great potential for unconventional oil and gas resources, among which the total resources of tight oil alone exceed 109 t and is regarded as an important resource base of Daqing oilfield ...
Li-zhi Shi +6 more
doaj +1 more source
The first member of the Qingshankou Formation (Qing Member 1) is rich in oil and gas resources and represents the first lacustrine transgression period, during which the lake basin area reached its maximum.
Xun Ge +9 more
core +1 more source
High-Temperature-Induced Pore System Evolution of Immature Shale with Different Total Organic Carbon Contents. [PDF]
Zhuoke L +9 more
europepmc +1 more source
Classification and Control Factors of Reservoir Types in Hybrid Sedimentary Rocks: A Case Study on Lucaogou Formation in the Jimusaer Sag, Junggar Basin. [PDF]
An C +8 more
europepmc +1 more source
Organic carbon burial is paced by a ~173-ka obliquity cycle in the middle to high latitudes. [PDF]
Huang H +7 more
europepmc +1 more source
Multiscale Characterization and Mobility Evaluation of Storage Space in Laminated Shale Reservoirs: A Case Study of the Qingshankou Formation, Southern Songliao Basin. [PDF]
Wang H +8 more
europepmc +1 more source
Origin and Evolution of Clay Mineral and Its Impact on Shale Oil Enrichment: Insight from Qingshankou Formation, Songliao Basin, NE China. [PDF]
Kang Y +6 more
europepmc +1 more source
A python code for automatic construction of Fischer plots using proxy data. [PDF]
Yang D +5 more
europepmc +1 more source

