Latest Issue

Latest Issue
Latest Issue

DRE I Research article I 2026(1): 100232

Numerical and experimental studies of the natural mixing behavior between an uncemented paste backfill and dumped waste rock in stopes from laboratory toward field conditions. Part I: Calibration and validation of a numerical model

Yuyu Zhang, Li Li*, Serge Ouellet, Louis-Philippe Gélinas

Cite: Zhang, Y.Y.; Li, L.; Ouellet, S.; Gélinas, L.-P., Numerical and experimental studies of the natural mixing behavior between an uncemented paste backfill and dumped waste rock in stopes from laboratory toward field conditions. Part I: Calibration and validation of a numerical model, Deep Resources Engineering 2026, 3 (1): 100232. https://doi.org/10.1016/j.deepre.2025.100232
DRE I Research article I 2026(1): 100202

Multidimensional thorough perception system for surrounding rock disasters in underground engineering and its application

Haoyu Mao, Nuwen Xu*, Peiwei Xiao, Xiang Zhou, Xinchao Ding, Biao Li

Cite: Mao, H.Y.; Xu, N.W.; Xiao, P.W.; Zhou, X.; Ding, X.C.; Li, B., Multidimensional thorough perception system for surrounding rock disasters in underground engineering and its application, Deep Resources Engineering 2026, 3 (1): 100202. https://doi.org/10.1016/j.deepre.2025.100202
DRE I Research article I 2026(1): 100233

An innovative approach for oil well bottomhole pressure forecasting using Kolmogorov-Arnold Neural Networks (KANs): A case study in an offshore oilfield

Adeboye Adeyinka*, Opedamola Oriola, Olusegun Stanley Tomomewo*

Cite: Adeyinka, A.; Oriola, O.; Tomomewo, O.S., An innovative approach for oil well bottomhole pressure forecasting using Kolmogorov-Arnold Neural Networks (KANs): A case study in an offshore oilfield, Deep Resources Engineering 2026, 3 (1): 100233. https://doi.org/10.1016/j.deepre.2025.100233
DRE I Research article I 2026(1): 100207

Infrared thermal image detection method of stressed sandstone fracture based on deep learning

Hai Sun*, Xinyi Hou, Liqiang Ma, Wenshuang Gao, Kun Wang

Cite: Sun, H.; Hou, X.Y.; Ma, L.Q.; Gao, W.S.; Wang, K., Infrared thermal image detection method of stressed sandstone fracture based on deep learning, Deep Resources Engineering 2026, 3 (1): 100207. https://doi.org/10.1016/j.deepre.2025.100207
DRE I Research article I 2026(1): 100231

Improving deconvolution reliability in well test analysis with an automated objective function

Mina S. Khalaf*

Cite: Khalaf, M.S., Improving deconvolution reliability in well test analysis with an automated objective function, Deep Resources Engineering 2026, 3 (1): 100231. https://doi.org/10.1016/j.deepre.2025.100231
DRE I Review I 2026(1): 100200

Casing damage in oil and water wells: Causes and prevention

Jiang-Feng Liu, Xin-Yue Zhang*, Li-Yuan Yu*, Xiao-Liang Wang, Yun-Hu Lu, Zi-Hao Zhang, Zhi-Jie Jian

Cite: Cite: Liu, J.F.; Zhang, X.Y.; Yu, L.Y.; Wang, X.L.; Lu, Y.H.; Zhang, Z.H.; Jian, Z.J., Casing damage in oil and water wells: Causes and prevention, Deep Resources Engineering 2026, 3 (1): 100200. https://doi.org/10.1016/j.deepre.2025.100200

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