Determination of the fracture closure pressure in fractural-cavity carbonate reservoirs using a failure criterion based on asperity behavior DOI Creative Commons
Yuanyuan Tian, Qing Chen,

Jichun Wu

и другие.

Frontiers in Earth Science, Год журнала: 2024, Номер 12

Опубликована: Дек. 24, 2024

As fluid flow paths in fractural-cavity carbonate reservoirs, fractures have a significant impact on the production performance of reservoirs. In particular, well depends apertures fractures, which vary with effective stress acting fractures. Thus, predicting fracture closure pressure is crucial for reservoir development. our research, pressures are derived using Zienkiewicz–Pande failure criterion, defines at most asperities come into contact. The results reveal that influenced by geo-stress field, rock mechanics, and spatial location fracture. Ultimately, typical wells located different tectonic zones Shunbei Oilfield calculated, indicate significantly affected dip angle between strike maximum principal stress. To demonstrate accuracy estimated pressure, corresponding to was evaluated. It reveals flowing bottom decreases rapidly recoverable oil reserves reduce when approaches pressure. This observation verifies determined formula feasible predictor

Язык: Английский

Improving Rock Type Identification Through Advanced Deep Learning-Based Segmentation Models: A Comparative Study DOI Creative Commons
İlhan Aydın,

Ayşe Didem Kılıç,

Taha Kubilay ŞENER

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(3), С. 1630 - 1630

Опубликована: Фев. 6, 2025

The accurate identification of rock types is crucial for understanding geological structures and planning mining activities. Therefore, the precise labeling a fundamental requirement researchers industry experts in these fields. This study aims to identify by segmenting thin-section images using advanced deep learning models. Commonly used models such as DeepLabv3+, SegFormer, ConvNext, Mask2Former were evaluated compare performance different segmentation Additionally, an improved version was analyzed enhance its performance. Post-segmentation enhancements with SLIC super pixel morphological operations further boundary delineation. An achieved validation accuracy 91.26% mean Intersection over Union (mIoU) 82.59%, representing improvement more than 5% base Mask2Former. Another significant aspect detailed analysis other relevant dataset. Quartz Feldspar Plagioclase (QAP) diagram utilized mineral identification, achieving recognition 85.7%. These results indicate robustness proposed approach, which exceeds mIoU comparable methods reported literature. significantly enhances effectiveness image processing techniques type identification. Furthermore, comparison provides valuable guidance selecting most suitable model.

Язык: Английский

Процитировано

0
Fracture Facies Estimation Utilizing Machine Learning Algorithm and Formation Micro-Imager (FMI) Log DOI Creative Commons
Hassan Bagheri, Reza Mohebian

Petroleum Research, Год журнала: 2025, Номер unknown

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0
Deformation of the void space of pores and fractures of carbonates: comprehensive analysis of core and field data DOI Creative Commons
Dmitriy A. Martyushev, Inna N. Ponomareva, Shadfar Davoodi

и другие.

Energy Geoscience, Год журнала: 2024, Номер unknown, С. 100364 - 100364

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

1
Determination of the fracture closure pressure in fractural-cavity carbonate reservoirs using a failure criterion based on asperity behavior DOI Creative Commons
Yuanyuan Tian, Qing Chen,

Jichun Wu

и другие.

Frontiers in Earth Science, Год журнала: 2024, Номер 12

Опубликована: Дек. 24, 2024

As fluid flow paths in fractural-cavity carbonate reservoirs, fractures have a significant impact on the production performance of reservoirs. In particular, well depends apertures fractures, which vary with effective stress acting fractures. Thus, predicting fracture closure pressure is crucial for reservoir development. our research, pressures are derived using Zienkiewicz–Pande failure criterion, defines at most asperities come into contact. The results reveal that influenced by geo-stress field, rock mechanics, and spatial location fracture. Ultimately, typical wells located different tectonic zones Shunbei Oilfield calculated, indicate significantly affected dip angle between strike maximum principal stress. To demonstrate accuracy estimated pressure, corresponding to was evaluated. It reveals flowing bottom decreases rapidly recoverable oil reserves reduce when approaches pressure. This observation verifies determined formula feasible predictor

Язык: Английский

Процитировано

0