Results 91 to 100 of about 26,123 (301)

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

Integrated Modeling of Multi-Stage Hydraulic Fracturing of Low-Permeable Reservoirs

Georesursy
The most effective method for developing lowpermeability reservoirs is multi-stage hydraulic fracturing (MSHF), which is confirmed by its intensive development in Russia.
V. N. Astafyev, G. M. Mitrofanov
doaj   +1 more source

Controlling Sustainability of Hydraulic Fracture Permeability in Ductile Shales

, 2022
Seiji Nakagawa, Eric Sonnenthal, Hang Deng, J. Rutqvist, Marco Voltolini, Timothy J. Kneafsey   +5 more
openalex   +2 more sources

Strain‐based modeling and analysis for rock blasting and geomechanics applications

Deep Underground Science and Engineering, EarlyView.
This paper introduces a novel strain‐based modeling approach for blasting and geomechanical applications, using measurable variables like particle velocity, strain, and displacement. By bypassing complex constitutive relations, strain‐based models capture critical blasting trends and full‐blast design parameters with minimal calibration.
Ruilin Yang
wiley   +1 more source

Research and application of pressure relief technology for fracturing thick hard roof in super-high mining face

Meitan xuebao
Aiming at the problems of super-large mining space, strong ore pressure and ultra-high coal wall stability control faced by full-mechanized mining face with ultra-large mining height and thick hard roof, this paper takes the 122104 working face of ...
Yajun LEI, Yanjun FENG, Hongpu KANG, Futang ZHAO, Xiaoguang SHANG, Rui WANG, Peng WANG, Zhen ZHANG, Jianchao REN, Kaikai ZHAO, Yangfa ZHENG, Xiaogang LIU   +11 more
doaj   +1 more source

Numerical investigation of the correlations of hydraulic and elastic characteristics in diverse carbonate rock types

Deep Underground Science and Engineering, EarlyView.
We use the linear Boolean model and the discrete Fourier transformation approach to generate various carbonate rocks. The lattice Boltzmann method and the finite element method are applied to calculate permeability and elastic wave velocity, respectively.
Yutian Zhang, Yifan Wu, Chi Zhang, Fengqiao Wang, Hucheng Deng, Meiyan Fu, Yonghui Li, Qi Li   +7 more
wiley   +1 more source

Effect of confining pressure on fracture characteristics and mineralogical behavior of tight sandstone specimens after hydraulic fracturing

Deep Underground Science and Engineering, EarlyView.
Hydraulic fracturing in tight sandstone and fracture propagation characteristics using backscattered electron‐scanning electron microscope (BSE‐SEM) images. Abstract This study focuses on hydraulic fracturing experiments conducted under triaxial conditions on tight sandstone specimens from Shivpuri district, Madhya Pradesh, India.
Pankaj Rawat, Narendra Kumar Samadhiya
wiley   +1 more source

Characterizing ground-water chemistry and hydraulic properties of fractured-rock aquifers using the multifunction Bedrock-Aquifer Transportable Testing Tool (BAT3) [PDF]

, 2001
Allen M. Shapiro
openalex   +1 more source

A new model for predicting hydraulic fracture penetration or termination at an orthogonal interface between dissimilar formations

, 2022
Yu Zhao, Yongfa Zhang, Guodong Tian, Chao-Lin Wang, Jing Bi   +4 more
openalex   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source