Results 31 to 40 of about 3,202 (214)

Gaborlet‐guided sparse filtering: A novel intelligent method for lithology identification by vibration signals while drilling

Deep Underground Science and Engineering, EarlyView.
The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao, Danqi Zhang, Zhenqi Song, Jinrui Wang, Qi Wang, Heqing Liu   +5 more
wiley   +1 more source

Advancing mine pillar design: Evaluating traditional methods and integrating AI for enhanced stability of pillars in the Great Dyke, Zimbabwe

Deep Underground Science and Engineering, EarlyView.
B1 is bord width 1, B2 is bord width 2, L is the pillar length, W is the pillar width, red color and letter A represent the pillars, and white color and number 1 represent excavated areas. Pstress is the average pillar stress; σv is the vertical component of the virgin stress, MPa; and e is the areal extraction ratio. e = B o B o + B P ${\rm{e}}=\frac{{
Tawanda Zvarivadza, Hendrik Grobler, Peter Apata Olubambi, Moshood Onifade, Manoj Khandelwal   +4 more
wiley   +1 more source

Fracture evolution of a thick soft protection layer and the water inrush mechanism in overburden under longwall mining

Deep Underground Science and Engineering, EarlyView.
Through shear–tensile creep tests and viscoelastic modeling, the fracture evolution of thick soft protective layers is clarified. Results show thickness‐dependent rheological failure modes that govern four types of roof water inrush, providing a mechanism‐based framework for hazard prediction and control. Abstract In the Jurassic coal‐bearing strata of
Mengnan Liu, Wei Qiao, Xianggang Cheng, Xiangsheng Meng, Peichao Feng   +4 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

Mechanistic insights across curing regimes for enzymatic and biopolymer‐optimized reinforcement in rock masses

Deep Underground Science and Engineering, EarlyView.
This study examines the effects of curing temperature on the mechanical behavior of underground rock masses treated with enzyme‐induced calcite precipitation (EICP) and an innovative biopolymer‐modified EICP (BP‐EICP). Abstract Biocementation is an innovative and sustainable technique for reinforcing weak and weathered rock masses in natural and ...
Mary C. Ngoma, Oladoyin Kolawole
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

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 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

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

Mechanism and disaster control new technology of strong ground pressure manifestation in ultra‐large mining face

Deep Underground Science and Engineering, EarlyView.
In response to the problem of strong mining pressure manifestation along the goaf roadway in a thick coal seam mining area, this study uses a new type of combined blasting roof cutting technology to effectively control the manifestation and deformation of mining pressure along the goaf roadway.
Xiaoding Xu, Manchao He, Jun Yang, Yubing Gao, Qiang Fu, Qing Ma, Yajun Wang   +6 more
wiley   +1 more source