Fracture Density Prediction of Basement Metamorphic Rocks Using Gene Expression Programming DOI Open Access

Muhammad Luqman Hasan,

Tivadar M. Tóth

Minerals, Год журнала: 2024, Номер 14(4), С. 366 - 366

Опубликована: Март 29, 2024

Many methods have been developed to detect and predict the fracture properties of fractured rocks. The standard data sources for evaluations are image logs core samples. However, many wells do not these data, especially old wells. Furthermore, operating both can be costly, and, sometimes, gathered bad quality. Therefore, previous research attempted evaluate fractures indirectly using widely available conventional well-logs. Sedimentary rocks widespread studied in literature. reservoirs, like igneous metamorphic rock bodies, may also vital since they provide fluid migration pathways store some hydrocarbons. Hence, two bodies this study any difference responses on well-log properties. Also, a quick reliable prediction method is density (FD) case unavailability Gene expression programming (GEP) was chosen FD, ten were used as input variables. model produced by GEP good, with R2 values at least above 0.84 all wells, then applied without logs. Both selected showed similar results which significant parameters FD spectral gamma ray, resistivity, porosity This proposed validation ensure that value predictions consistent discriminant function analysis. In conclusion, could basement

Язык: Английский

Correction of linear fracture density and error analysis using underground borehole data DOI
Dongsheng Cao, Lianbo Zeng, Enrique Gómez-Rivas

и другие.

Journal of Structural Geology, Год журнала: 2024, Номер 184, С. 105152 - 105152

Опубликована: Май 8, 2024

Язык: Английский

Процитировано

21

Using seismic methods to detect connectivity of fracture networks controlled by strike-slip faults in ultra-deep carbonate reservoirs: A case study in northern tarim basin, China DOI
Yingtao Yao, Lianbo Zeng, Shaoqun Dong

и другие.

Journal of Structural Geology, Год журнала: 2024, Номер 180, С. 105060 - 105060

Опубликована: Янв. 28, 2024

Язык: Английский

Процитировано

7

Pore structure characterization and reservoir quality prediction in deep and ultra-deep tight sandstones by integrating image and NMR logs DOI

Yang Su,

Jin Lai,

Wenle Dang

и другие.

Journal of Asian Earth Sciences, Год журнала: 2024, Номер 272, С. 106232 - 106232

Опубликована: Июнь 17, 2024

Язык: Английский

Процитировано

4

Analysis of the Correlation Between Fracture Topology and Mechanical Properties of Rocks in Fractured Carbonate Reservoirs: in Derham Group, Fars arc Zone (Southwest Iran) DOI

Mohadese Ajami,

Kimia Asgari,

Ali Kadkhodaie

и другие.

Marine and Petroleum Geology, Год журнала: 2025, Номер unknown, С. 107368 - 107368

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Fracture Characterization for New Landfill Sites in Crystalline Bedrock: A Case Study from Rogaland, Southwestern Norway DOI Creative Commons

Bilal Tariq,

Helen K. French, Stéphane Polteau

и другие.

Rock Mechanics and Rock Engineering, Год журнала: 2025, Номер unknown

Опубликована: Март 14, 2025

Язык: Английский

Процитировано

0

Fracture analyser: a Python toolbox for the 2D analysis of fracture patterns DOI Creative Commons
Lorenzo Borghini,

Giulia Striglio,

Giulio Bacchiani

и другие.

Italian Journal of Geosciences, Год журнала: 2024, Номер 143(2), С. 1 - 15

Опубликована: Май 29, 2024

Fractures are the most common result of rock brittle failure in Earth's crust. Their presence, distribution, orientation, and interconnection some main parameters that control rock's mechanical characteristics fluid flow. The arrangement fractures on outcrop analogues is critical predicting mass integrity subsurface migration storage. Here, we present application Fracture Analyser, a Python tool, analysing two field case studies. We performed analysis remotely from manually interpreted images fractured vertical wall siliciclastic turbidites horizontal pavement karstified limestone. To test our analysed outcrops at different scales: first case, i.e., wall, ground resolution about 0.0005 m/pixel; second limestone pavement, with 0.04 m/pixel. demonstrate efficiency Analyser objectively repeatedly quantifying fracture attributes state an given dataset, after digitalisation quantify pattern such as number, length, spatial position, angle between scanline fractures, apparent spacing, density (P20), intensity (P21). examples presented this study efficacy attributes.

Язык: Английский

Процитировано

3

Multi-scale fracture patterns and their effects on gas enrichment in tight sandstones: a case study of the Upper Paleozoic in the Qingshimao gas field, Ordos Basin, China DOI Creative Commons
Jie Wang, Jiping Wang, Yuanyuan Zhang

и другие.

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

Опубликована: Авг. 13, 2024

A well-connected network formed by multi-scale fractures is a key factor in the formation of high-quality reservoirs and achievement high stable oil gas production tight sandstones. Taking Upper Paleozoic Qingshimao field Ordos Basin, China, as an example, based on data from image logs, cores, thin sections, fine quantitative characterization natural sandstone was carried out. We also established method for dividing patterns discussed effect each fracture pattern enrichment capacity. Results indicate regular changes length, density, aperture, porosity, permeability, connectivity at different scales. Based spatial combination scales, four types were established: with density multi-orientations, moderate-high dual orientations, small-scale moderate low single orientation. The first can destroy integrity cap layer, causing leakage. second favorable area enrichment. third requires use hydraulic fracturing to obtain commercial airflow. fourth has little reservoir control storage. study usually single-scale perspective. Understanding development characteristics their controlling effects helps comprehensively understand configuration relationship structure promotes research.

Язык: Английский

Процитировано

3

Fracture Density Prediction of Basement Metamorphic Rocks Using Gene Expression Programming DOI Open Access

Muhammad Luqman Hasan,

Tivadar M. Tóth

Minerals, Год журнала: 2024, Номер 14(4), С. 366 - 366

Опубликована: Март 29, 2024

Many methods have been developed to detect and predict the fracture properties of fractured rocks. The standard data sources for evaluations are image logs core samples. However, many wells do not these data, especially old wells. Furthermore, operating both can be costly, and, sometimes, gathered bad quality. Therefore, previous research attempted evaluate fractures indirectly using widely available conventional well-logs. Sedimentary rocks widespread studied in literature. reservoirs, like igneous metamorphic rock bodies, may also vital since they provide fluid migration pathways store some hydrocarbons. Hence, two bodies this study any difference responses on well-log properties. Also, a quick reliable prediction method is density (FD) case unavailability Gene expression programming (GEP) was chosen FD, ten were used as input variables. model produced by GEP good, with R2 values at least above 0.84 all wells, then applied without logs. Both selected showed similar results which significant parameters FD spectral gamma ray, resistivity, porosity This proposed validation ensure that value predictions consistent discriminant function analysis. In conclusion, could basement

Язык: Английский

Процитировано

1