| contributor author | Xiong, Wu | |
| contributor author | Yuan, Yujie | |
| contributor author | Xie, Yibing | |
| contributor author | Liu, Xiu | |
| contributor author | Zhang, Dengfeng | |
| contributor author | Zou, Jie | |
| date accessioned | 2026-08-20T11:19:38Z | |
| date available | 2026-08-20T11:19:38Z | |
| date copyright | 2025/11/11 | |
| date issued | 2026 | |
| identifier other | JLEED9.EYENG-6421.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4312034 | |
| description abstract | AbstractQuantitative characterization of pore types in shale oil formations is crucial for
the evaluation of shale oil content and mobility but is challenging. This study presents
a novel integration of traditional petrophysical analyses with a U-Net deep-...Practical ApplicationsThe pore types and shapes significantly influence shale oil mobility, CO2 injectivity, and displacement efficiency. Interparticle pores demonstrate the highest
porosity. Their interconnected networks form essential flow pathways for CO2 ... | |
| publisher | American Society of Civil Engineers | |
| title | Quantitative Characterization of Pore Types in Laminated and Massive Oil-Bearing Shales in Qintong Sag and Jiyang Depression Using Traditional and Deep-Learning Methods | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 1 | |
| journal title | Journal of Energy Engineering | |
| identifier doi | 10.1061/JLEED9.EYENG-6421 | |
| journal fristpage | 04025093-1 | |
| journal lastpage | 04025093-13 | |
| page | 13 | |
| tree | Journal of Energy Engineering:;2026:;Volume ( 152 ):;issue: 001 | |
| contenttype | Fulltext | |