Results 61 to 70 of about 2,839,750 (318)

A perspective review of applications of the computed tomography (CT) scan imaging technique for microscopic reservoir rock characterization

Deep Underground Science and Engineering, EarlyView.
In this review, the application of micro‐CT and medical‐CT scanning in the oil and gas industry has been thoroughly discussed. Recent improvements in DRP and modern imaging techniques in the oil and gas industry have been modeled using both experimental and simulation work.
Achinta Bera, Bharadwaj Shukla, Dhruvikkumar Jogani   +2 more
wiley   +1 more source

Automatic Lithology Identification of Sandstone-type Uranium Deposit in Songliao Basin Based on Ensemble Learning

Yuanzineng kexue jishu, 2023
The accurate identification of stratigraphic lithology is closely related to the delineation of sandstone-type uranium deposits. In the face of complex stratigraphic structure, the correct analysis of lithology combination is of great significance to the
DUAN Zhongyi1;XIAO Kun1,*;YANG Yaxin1;HUANG Xiao2;JIANG Shan2;ZHANG Hua1;LUO Qibin1
doaj   +1 more source

Characterization of the permeability evolution of hard and soft rocks under hydro‐mechanical coupling conditions

Deep Underground Science and Engineering, EarlyView.
The permeability variation of rocks during complete stress–strain processes was investigated. A mathematical model describing the influence of rock damage on permeability was constructed. The permeability–stress relationship between soft rock and hard rock was proposed.
Zhen Huang, Jian Yu, Yun Wu, Cong Gong, Xiaozhao Li, Kui Zhao, Dickson Moyo   +6 more
wiley   +1 more source

Lithology Identification of Buried Hill Reservoirs Based on Support Vector Machine

Cejing jishu
As an unconventional reservoir, the potential mountain bedrock reservoir presents significant challenges for lithology identification compared to traditional clastic reservoirs due to its complex bedrock structure, tectonic features, chemical composition
GAO Yongde, WU Jinbo, SUN Dianqiang
doaj   +1 more source

Geological and geotechnical challenges on the Great Dyke of Zimbabwe and their impact on hardrock pillar design

Deep Underground Science and Engineering, EarlyView.
The Great Dyke of Zimbabwe is notable for its rich platinum group metal deposits but poses significant geological and geotechnical challenges due to its complex rock types and structural features. Traditional pillar design methods are insufficient for addressing these complexities; the study suggests incorporating advanced techniques such as machine ...
Tawanda Zvarivadza, Hendrik Grobler, Moshood Onifade, Manoj Khandelwal   +3 more
wiley   +1 more source

An intelligent lithology identification method for sandstone and mudstone strata and its applications: A case study of the Jurassic strata in the Lunnan area, Xinjiang, China

Meitian dizhi yu kantan
ObjectiveLithology identification lays the foundation for fine-scale reservoir evaluation. However, traditional identification methods generally utilize the interactive relationships between only 2‒3 logging parameters, suffering from low utilization ...
Ming CAI, Qingwen ZHOU, Cong YANG, Feng CHEN, Dong WU, Wang LIN, Chengguang ZHANG, Yuanjun ZHANG, Yuxin MIAO   +8 more
doaj   +1 more source

Integrated geotechnical and geophysical investigation of a proposed construction site at Mowe, Southwestern Nigeria [PDF]

, 2018
The subsurface of a proposed site for building development in Mowe, Nigeria, using Standard Penetration Test (SPT), Cone Penetrometer Test (CPT) and Horizontal Electrical Profiling (HEP), was investigated with the aim of evaluating the suitability of the
Nduka, Adaobi C., Oladele, Sunday, Oyedele, Kayode F.   +2 more
core  

Effect of sedimentary heterogeneities in the sealing formation on predictive analysis of geological CO₂ storage [PDF]

, 2019
Numerical models of geologic carbon sequestration (GCS) in saline aquifers use multiphase fluid flow-characteristic curves (relative permeability and capillary pressure) to represent the interactions of the non-wetting CO2 and the wetting brine. Relative
Alkan, Amann-Hildenbrand, Amann-Hildenbrand, Anderson, André, Armitage, Bachu, Bastin, Bear, Bennion, Bielicki, Birkholzer, Birkholzer, Bloomfield, Brooks, Burnside, Cameron, Carsel, Class, Deng, Dewhurst, Dewhurst, Doughty, Ducellier, Folk, Handin, Harrington, Hayley Vosper, Hobbs, Howard, IEAGHG, IPCC, John D.O. Williams, Kaldi, Khan, Lenhard, Liu, Michael U. Onoja, Middleton, Miri, Mori, Newell, Nicot, Niemi, Noy, Okwen, Oldenburg, Onoja, Oostrom, Orlic, Orr, Peters, Rutqvist, Rutqvist, Schlumberger, Seedhouse, Seyed M. Shariatipour, Shariatipour, Shariatipour, Shukla, Smith, Standing, Stow, Van Genuchten, Vilarrasa, Williams, Yamamoto, Yang, Yang, Zhang   +69 more
core   +2 more sources

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

Evaluation of machine learning methods for lithology classification of sandstone-type uranium deposit based on well logging data in the Songliao Basin, Northeast China

Nuclear Engineering and Technology
Lithology identification plays a crucial role in uranium exploration, providing important information about geological conditions, deposit characteristics, and mineralization environments, which is significant for the exploration, development, and ...
Kun Xiao, Changwei Jiao, Changchun Zou, Yaxin Yang, Hongxing Li, Xudong Hu, Mengshi Chen, Dening Yin, Pengbo Yang, Rong He   +9 more
doaj   +1 more source