From fluid flow to coupled processes in fractured rock: Recent advances and new frontiers
Quantitative predictions of natural and induced phenomena in fractured rock is one of the
great challenges in the Earth and Energy Sciences with far‐reaching economic and …
great challenges in the Earth and Energy Sciences with far‐reaching economic and …
富有机质页岩天然裂缝研究进展
曾联波, 马诗杰, 田鹤, 薛萌, 刘国**, 吕文雅 - 地球科学, 2023 - earth-science.net
天然裂缝是富有机质页岩油气储层的重要储集空间和主要渗流通道, 影响页岩油气的富集, 保存,
单井产能及开发效果, 天然裂缝发育规律研究对富有机质页岩油气勘探开发具有重要意义 …
单井产能及开发效果, 天然裂缝发育规律研究对富有机质页岩油气勘探开发具有重要意义 …
Lithology identification using graph neural network in continental shale oil reservoirs: A case study in Mahu Sag, Junggar Basin, Western China
The continental shale oil reservoir of Fengcheng Formation in the northern slope area of
Mahu Sag, Junggar Basin, Western China is very heterogeneous in lithology. Thus, the …
Mahu Sag, Junggar Basin, Western China is very heterogeneous in lithology. Thus, the …
[HTML][HTML] Fracture identification and evaluation using conventional logs in tight sandstones: A case study in the Ordos Basin, China
Fractures are of great significance to tight oil and gas development. Fracture identification
using conventional well logs is a feasible way to locate the underground fractures in tight …
using conventional well logs is a feasible way to locate the underground fractures in tight …
Lithofacies identification in carbonate reservoirs by multiple kernel Fisher discriminant analysis using conventional well logs: A case study in A oilfield, Zagros Basin …
S Dong, L Zeng, X Du, J He, F Sun - Journal of Petroleum Science and …, 2022 - Elsevier
Lithofacies identification in carbonate reservoirs using conventional well logs is a typically
complex nonlinear problem due to influences of multiple factors, such as fluids and fractures …
complex nonlinear problem due to influences of multiple factors, such as fluids and fractures …
Fracture identification in reservoirs using well log data by window sliding recurrent neural network
S Dong, L Wang, L Zeng, X Du, C Ji, J Hao… - Geoenergy Science and …, 2023 - Elsevier
Detecting fractures using well logs can be difficult due to the complex response of
conventional logs. To address this issue, a novel method called Fracture Identification by …
conventional logs. To address this issue, a novel method called Fracture Identification by …
A deep learning object detection method for fracture identification using conventional well logs
S Dong, J Hao, L Zeng, X Yang, L Wang… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Reservoir characterization struggles with identifying fractures, a typical imbalance
classification problem. To handle this issue, a novel approach called fracture identification …
classification problem. To handle this issue, a novel approach called fracture identification …
A review of the genesis, evolution, and prediction of natural fractures in deep tight sandstones of China
Natural fractures are effective reservoir spaces and the main seepage channel for tight
sandstones, which control the migration, enrichment, and productivity of oil and natural gas …
sandstones, which control the migration, enrichment, and productivity of oil and natural gas …
Hybrid machine learning approaches for classification and detection of fractures in carbonate reservoir
MR Delavar - Journal of Petroleum Science and Engineering, 2022 - Elsevier
Identifying reservoir fractures has been a challenge due to its significant influence in drilling
and production, especially in highly complex carbonate reservoirs. In this paper, one of the …
and production, especially in highly complex carbonate reservoirs. In this paper, one of the …
An intelligent prediction method of fractures in tight carbonate reservoirs
D Shaoqun, Z Lianbo, DU **angyi… - Petroleum Exploration …, 2022 - Elsevier
An intelligent prediction method for fractures in tight carbonate reservoir has been
established by upgrading single-well fracture identification and interwell fracture trend …
established by upgrading single-well fracture identification and interwell fracture trend …