Intelligent Identification Of Deep Coal Macrolithotypes Based On Weighted Ensemble In Machine Learning: A Case Study Of The Shenmu Area, Ordos Basin,
2026
Key Laboratory of Coalbed Methane Resources and Accumulation Process, Ministry of Education, China University of Mining and Technology, Xuzhou 221008, China
Intelligent Identification Of Deep Coal Macrolithotypes Based On Weighted Ensemble In Machine Learning: A Case Study Of The Shenmu Area, Ordos Basin, Yao Yuhao, Yang Zhaobiao, Huang Daojun, Wang Jianan, Dong Guodong, Chen Yilin, He Jinxian, Zhang Shang
Coal Geology & Exploration
Objective Coal macrolithotype represents a key geological property in the exploration and recovery of deep coalbed methane (CBM) resources, and its accurate identification is of great significance for selecting the optimal geological and engineering sweet-spot intervals. However, conventional coal macrolithotype identification relies heavily on core observation, suffering from prohibitively high costs since core data are extremely valuable and thus feature a small sample size. Meanwhile, conventional log-based threshold methods face challenges in effectively characterizing the complex boundaries between coal macrolithotypes.Methods This study investigated the No. 8 coal seam of the Benxi Formation, Shenmu area, eastern Ordos Basin. Based on …
A Probabilistic Lithofacies Classification Method For Deep Coal Measures,
2026
School of Earth and Environment, Anhui University of Science & Technology, Huainan 232001, China; Huaibei Mining (Group) Co., Ltd., Huaibei 235000, China
A Probabilistic Lithofacies Classification Method For Deep Coal Measures, Xu Aiguo, Zhang Pingsong, Wu Haibo, Li Shenglin
Coal Geology & Exploration
Background Deep coal measures contain multiple unconventional reservoir types, including coal, shale, and tight sandstone. Accurate lithofacies classification helps identify the resource and engineering targets of unconventional gas within these deep sequences, thus guiding category-based extraction and efficient development. However, conventional lithofacies classification methods largely rely on elastic parameters derived based on the isotropic-medium assumption or linear amplitude variation with offset (AVO) inversion while neglecting the pronounced vertical transverse isotropy (VTI) anisotropy of deep coal measures, severely limiting the lithofacies classification accuracy. Methods This study develops a probabilistic lithofacies classification method for deep coal measures. First, high-accuracy elastic parameters, including …
Multi-Round Diverting Fracturing Technology For Deep-Seated Thin Coal Seams And Its Application: A Case Study Of The G3-1 Well Group In The Yichuan Block, Ordos Basin,
2026
PetroChina Coalbed Methane Company Limited, Beijing 100028, China; China United Coalbed Methane National Engineering Research Center Co., Ltd., Beijing 100095, China
Multi-Round Diverting Fracturing Technology For Deep-Seated Thin Coal Seams And Its Application: A Case Study Of The G3-1 Well Group In The Yichuan Block, Ordos Basin, Li Shuguang, Nie Zhihong, Ji Liang, Zhou Changhui, Bai Kunsen, Huang Li, Zhen Huaibin, Xing Xuejie, Zhao Haifeng
Coal Geology & Exploration
Objective Deep coal seams in the Yichuan block of the Ordos Basin are characterized by small thicknesses, vertical multi-layer superimposition, and strong vertical and horizontal heterogeneities. When used to develop these coal seams, multi-stage horizontal well fracturing faces challenges such as uneven fracture propagation across various stages in the horizontal direction and a low production degree of multiple coal seams in the vertical direction, complicating commercial exploitation. To address these issues, this study proposes a multi-round diverting fracturing technology based on a vertical cluster well group. In this technology, vertical layered fracturing using vertical cluster wells is employed to achieve …
Scaling And Blockage In Deep Coalbed Methane Wells: Mechanisms And Countermeasures,
2026
China United Coalbed Methane National Engineering Research Center Co. Ltd., Beijing 100095, China; PetroChina Coalbed Methane Company Limited, Beijing 100028, China
Scaling And Blockage In Deep Coalbed Methane Wells: Mechanisms And Countermeasures, Zhang Lei, Chen Ming, Zhen Huaibin, Zeng Wenting, Hao Pengcheng, Hou Wei, Yin Decai, Zhang Kang, Liu Chuanqing, Tian Zhida, Liu Qihu, Wang Qian, Xiong Wei, Sun Weiwei, Xia Fei, Wang Chunyan
Coal Geology & Exploration
Background The exploitation of deep coalbed methane (CBM) is accompanied by continuous pressure drawdown. In this case, scaling and blockage are prone to occur in systems where formation water with high total dissolved solids (TDS) and high-concentration CO2 coexist. In the middle to late production stage, the blockage of both wellbore and flow pathways in reservoirs frequently leads to abrupt declines in gas production and bottomhole pressure or even induces the shutdown of natural flowing production, severely restricting the stable production of deep CBM wells. Methods This study investigated the Daning-Jixian block in the eastern Ordos Basin. Using multiple …
Technology Roadmap And Countermeasures For Lean Development Of Low-Grade Deep Coalbed Methane: A Case Study Of The Linxing-Shenfu Block, Ordos Basin,
2026
CNOOC Research Institute, Beijing 100028, China; State Key Laboratory of Offshore Oil Exploitation, Beijing 100028, China
Technology Roadmap And Countermeasures For Lean Development Of Low-Grade Deep Coalbed Methane: A Case Study Of The Linxing-Shenfu Block, Ordos Basin, Wu Guang’Ai, Xing Xuesong, Wu Jianshu, Zhu Ying, Zi Jingyu, Wang Zhi, Hou Yanan, Cheng Yuxiong, Liu Xin
Coal Geology & Exploration
Background Accelerating deep coalbed methane (CBM) exploitation is a strategic initiative for the energy security and energy mix optimization of China. The Linxing-Shenfu block in the Ordos Basin holds considerable resource potential of deep CBM. However, this block exhibits typical geological characteristics of low-grade deep CBM, including the complete absence of free gas, gas content < 14 m3/t, reservoir permeability < 0.1 × 10−3 μm2, and strong heterogeneity. These characteristics lead to low efficiency of conventional development models. Therefore, there is an urgent need to develop an efficient technical system tailored to these characteristics. Method To address the core contradiction between reservoir …
Numerical Simulation Of Stress Shadow Effect And Cluster Spacing Optimization For Multi-Cluster Fracturing In Deep Coalbed Methane Horizontal Wells,
2026
China United Coalbed Methane Co., Ltd., Beijing 100015, China
Numerical Simulation Of Stress Shadow Effect And Cluster Spacing Optimization For Multi-Cluster Fracturing In Deep Coalbed Methane Horizontal Wells, Guo Guangshan, Deng Zhiyu, Sun Le, Pu Yifan, Wu Jian, Tao Shu, Chen Shaojuan, Chen Shida
Coal Geology & Exploration
Purpose Multi-stage, multi-cluster fracturing in horizontal wells represents a key technique for deep coalbed methane (CBM) recovery and the sustainable development of the industry. However, during multi-cluster fracturing in deep CBM horizontal wells, the stress shadow effect tends to induce non-uniform fracture propagation and a limited stimulated reservoir volume (SRV). Methods To address these challenges. this study established a two-dimensional (2D) numerical model for multi-cluster hydraulic fracturing in horizontal wells using the finite element method. Then, it systematically analyzed the impacts of in situ stress and cluster spacing on both the stress shadow effect and the competitive propagation of hydraulic …
Fracturing With Three-Dimensional Full-Scale Fracture Network Propping For Deep Coalbed Methane Reservoirs: A Novel Ceramic Micro-Proppant And Its Verification Through Numerical Simulations,
2026
School of Petroleum Engineering, Yangtze University, Wuhan 430100, China; Hubei Key Laboratory of Oil and Gas Drilling and Production Engineering, Wuhan 430100, China
Fracturing With Three-Dimensional Full-Scale Fracture Network Propping For Deep Coalbed Methane Reservoirs: A Novel Ceramic Micro-Proppant And Its Verification Through Numerical Simulations, Li Xiang, Xu Jun, Li Ting, Zhang Xiaoyu, Yang Bo
Coal Geology & Exploration
Objective and Methods Conventional fracturing struggles to achieve the long-term effective propping of complex fracture networks during the development of deep coalbed methane (CBM) reservoirs. To address this challenge, this study developed a novel ceramic micro-proppant suitable for the volumetric microfracture propping and, through numerical simulations, verified its performance when it was applied to reservoir stimulation in conjunction with the technology of fracturing with three-dimensional full-scale fracture network propping. First, a novel ceramic micro-proppant with a core-shell structure was designed according to the requirements of microfracture propping. Its key properties, including compressive strength, settling behavior, hydraulic conductivity, and stability, were …
A Spatiotemporal Surrogate Model And Multi-Objective Optimization For Multi-Well Coalbed Methane Production,
2026
Gas Field Company, Shaanxi Yanchang Petroleum (Group) Co., Ltd., Yan’an 716000, China
A Spatiotemporal Surrogate Model And Multi-Objective Optimization For Multi-Well Coalbed Methane Production, Qin Yuancheng, Wang Mengyi, Wang Yanfeng, Li Yuan, He Bo, Fang Junling, Duan Qingshan, Liu Chen
Coal Geology & Exploration
Objective and Methods In the full-lifecycle optimization of multi-well and long-term coalbed methane (CBM) production, conventional numerical simulation methods face challenges including extremely high computational costs and difficult multi-objective trade-offs. To address these issues, this study proposed a spatiotemporal surrogate model for multi-objective optimization of CBM production. First, a heterogeneous reservoir model involving 17 production wells was constructed based on high-fidelity numerical simulation, and a sample dataset was created by applying random perturbations to the baseline production scheme. Second, a hybrid surrogate model integrating a convolutional neural network (CNN) and a Transformer decoder was established. The CNN was utilized for …
Numerical Simulation And Process Optimization Of Multi-Round Fracturing In Deep Coalbed Methane Wells In The Linxing-Shenfu Block,
2026
CNOOC EnerTech-Drilling & Production Co., Tianjin 300452, China; College of Petroleum Engineering, China University of Petroleum, Beijing, 102249
Numerical Simulation And Process Optimization Of Multi-Round Fracturing In Deep Coalbed Methane Wells In The Linxing-Shenfu Block, Li Yu, Zhang Liang, Li Yunyun, An Qi, Feng Xuesong, Lan Tian, Yu Ji, Liu Xin
Coal Geology & Exploration
Objective Deep coalbed methane (CBM) holds considerable resource potential. However, deep CBM reservoirs exhibit high in-situ stresses, while deep coals feature strong plasticity and heterogeneity. These characteristics render it challenging to generate complex fracture networks through conventional fracturing, thus restricting the large-scale commercial development of deep CBM resources. Multi-round fracturing enables fracture initiation, propagation, and propping through sequential cycles of fracturing fluid injection, pump shut-in, and injection. By constantly changing near-wellbore stress fields, this technique facilitates the formation of complex fracture networks and ensures uniform reservoir stimulation. Method Using the finite-discrete element method (FDEM), this study established a numerical model …
Comparison Of Gravity Separation And Flotation For Pyrite Recovery From Tailings,
2026
Istanbul Technical University, Mineral Processing Engineering Department, Maslak, Istanbul, Türkiye
Comparison Of Gravity Separation And Flotation For Pyrite Recovery From Tailings, Gülay Bulut, Gönül Göksu Gökçe, Dilruba Karamanlı, Oğuzhan Mert Gürkan, Ergin Sarp Zenzirci, Binnur Kırım, Alim Gül
Journal of Sustainable Mining
Tailings generated during the production of lead, zinc, and copper concentrates contain significant amounts of sulfide minerals, particularly pyrite. Pyrite, which remains in tailings after the recovery of other metals, is one of the main contributors to acid mine drainage (AMD). Therefore, recovering pyrite from tailings is environmentally and economically an important issue. In this study, pyrite recovery from tailings was investigated using flotation and gravity separation methods. Mineralogical characterization and liberation analyses were conducted by Mineral Liberation Analysis (MLA), indicating that pyrite is the major sulfide mineral with over 76% liberation degree even in the coarsest fractions. Flotation tests …
Hydrothermal Alteration Mapping Of The Northern Coongan Greenstone Belt Using Remote Sensing Imagery,
2026
Ministry of Mines, Mineral Industry Development Institute, Ethiopia
Hydrothermal Alteration Mapping Of The Northern Coongan Greenstone Belt Using Remote Sensing Imagery, Meaza Bogale, Elias Woldeyohanis
Journal of Sustainable Mining
Archean greenstone belts are well known for their ore deposits, diverse lithostratigraphy, and well-preserved evidence from the early Earth. The Northern Coongan Greenstone Belt is an Archean greenstone belt that is part of the Eastern Pilbara Craton of Western Australia. The rock units of this area have the potential to be sources of valuable mineral deposits, which could be economically beneficial for extraction. Studies have been conducted in the northern Coongan greenstone belt, mostly using geological field methods and geophysical interpretations, excluding remote sensing methods for mapping mineral indices. Therefore, this study aims at providing surface mineral distribution maps and …
The Evolution Characteristics Of Gas Pressure Around Coal Seam Directional Long Extraction Boreholes With Nonlinear Extraction Negative Pressure,
2026
Wuhan Institute of Technology, School of Resources and Safety Engineering, Hubei Province, Wuhan, 430205, China
The Evolution Characteristics Of Gas Pressure Around Coal Seam Directional Long Extraction Boreholes With Nonlinear Extraction Negative Pressure, Zhang Qi, Jia Jinlong, Li Zhiguo, Zhang Longgang, Qin Zhengyuan, Zhang Weizhong, Li Jin
Journal of Sustainable Mining
Nonlinear pressure of coal seam gas in the directional borehole and surrounding areas affects extraction efficiency. A multi-field coupling numerical model, including gas desorption, diffusion, fracture seepage, and borehole extraction, is developed for the No. 3 coal seam of the GJH mine. Using the numerical simulation method of control variables, extraction was developed to investigate the nonlinear evolution of axial pressure gradients in directional long borehole and the spatiotemporal response characteristics of gas pressure. Results show that coal seam seepage pressure exhibits a nonlinear radial gradient attenuation around the borehole, evolving through rapid pressure change, stabilization, and slow adjustment. The …
Monitoring System In The Georeactor Area During The Underground Coal Gasification Process,
2026
Central Mining Institute – National Reserach Institute, Department of Energy Saving and Air Protection,, Poland
Monitoring System In The Georeactor Area During The Underground Coal Gasification Process, Aleksandra Tokarz, Jacek Grabowski, Krzysztof Korczak
Journal of Sustainable Mining
Safety control of the underground coal gasification (UCG) process involves ensuring that the process runs smoothly, monitoring changes occurring on the surface and in the rock mass, and counteracting the negative environmental impact of the process. The article presents the application of a monitoring system implemented in Poland, both in pilot tests conducted in shallow coal seams at the Barbara Experimental Mine and in deep coal seams at the Wieczorek mine, where a full-scale gasification process was tested. The analysis of the monitoring results carried out during the gasification experiment in an operating mine allowed for the identification of key …
Microwave Thermal Pre-Treatment To Improve Nickel Extraction From Lateritic Ore,
2026
Universidad Pedagógica y Tecnológica de Colombia. Facultad de Ingeniería. Escuela de Ingeniería Metalúrgica. Avenida Central del Norte, Km 4, Edif. de Ingeniería, Tunja, 150003, Colombia
Microwave Thermal Pre-Treatment To Improve Nickel Extraction From Lateritic Ore, Johana Borda, Daniel Sosa, Robinson Torres
Journal of Sustainable Mining
Two heat treatment processes for a nickeliferous laterite sample are presented, one by the conventional muffle route and the other by microwave. The heating was carried out in order to improve the dissolution of nickel in an acid medium. The study describes the changes observed in the mineral for the increase in temperature as a consequence of radiation in the microwave and in the muffle. The changes in the mineral crystalline phases were analyzed by X-ray diffraction. The leaching media consisted of a 1 M sulfuric acid solution at ambient conditions for 7 h. The interaction between the reagent and …
Msmgoptimizer: An Open-Source R Package And Web Application For Streamlining Life Cycle Inventory Data Automation In Life Cycle Assessment,
2026
Missouri University of Science and Technology
Msmgoptimizer: An Open-Source R Package And Web Application For Streamlining Life Cycle Inventory Data Automation In Life Cycle Assessment, Philip Duah, Kwame Awuah-Offei
Mining Engineering Faculty Research & Creative Works
Life Cycle Inventory (LCI) compilation is indispensable in any Life Cycle Assessment (LCA) study, yet the preparation of inventory data for import into LCA software remains one of the most time‑consuming and error‑prone steps in the LCA workflow. LCI datasets frequently originate from multiple data sources and formats, necessitating automation tools that can optimize inventory data for direct use in LCA modeling platforms. SimaPro, the world's leading LCA modeling platform, for example, requires inventory data to be structured according to a proprietary CSV specification that is labour-intensive to prepare manually. Existing tools remain largely inaccessible to most researchers due to …
Review: Advancements In Fibrous Aerosol Filtration Across Experimental Analysis, Numerical Modeling, And Fabrication Technologies,
2026
Missouri University of Science and Technology
Review: Advancements In Fibrous Aerosol Filtration Across Experimental Analysis, Numerical Modeling, And Fabrication Technologies, Mirza Muhammad Zaid, Ashish Ranjan Kumar, Ashish Kakoria, Lina Zheng, Guang Xu
Mining Engineering Faculty Research & Creative Works
The increasing incidence of aerosol-related pulmonary diseases has intensified the need for efficient fibrous filtration technologies capable of capturing ultrafine particles with low pressure drop. Although nonwoven fibrous filters are widely used in medical, industrial, and ventilation systems, their complex internal structures and multiscale transport mechanisms remain insufficiently understood. This review examines the theoretical foundations of aerosol filtration, including single-fiber capture mechanisms and the concept of the most penetrating particle size. In addition, electrostatic interactions, including charge generation, transport, and stability, are incorporated to extend conventional mechanical filtration frameworks. Particular attention is given to flow–particle interactions within fibrous media. We …
Benchmarking Zero-Shot Open-Vocabulary And Fine-Tuned Object Detectors For Underground Mine Personnel Detection,
2026
Missouri University of Science and Technology
Benchmarking Zero-Shot Open-Vocabulary And Fine-Tuned Object Detectors For Underground Mine Personnel Detection, Ellen Essien, Samuel Frimpong
Mining Engineering Faculty Research & Creative Works
Reliable personnel detection is critical for the safe deployment of autonomous haulage systems in underground mining, where challenging environmental conditions demand robust real-time perception. Existing research has focused primarily on fine-tuned convolutional detectors, while systematic comparisons with zero-shot vision-language models remain limited. This study presents a cross-paradigm benchmark comparing four zero-shot vision-language models (YOLO-World, Grounding DINO, OWL-ViT, and OWLv2) with four fine-tuned YOLO detectors (YOLOv8s, YOLOv9s, YOLO11s, and YOLO26s) using 31,396 real-world underground coal mine images. Detection performance was evaluated using precision, recall, F1-score, average precision, inference speed, and condition- and target scale-specific recall. The experimental results show that the …
Sustainable Critical Minerals: Mining, Production, And Legacy,
2026
Missouri University of Science and Technology
Sustainable Critical Minerals: Mining, Production, And Legacy, Joel G. Burken, Heileen Hsu-Kim, Mariam Al-Lami, Hunter W. Schroer, Scott Banta, Om Parkash Dhankher, Kwame Awuah-Offei, Lana Alagha
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
No abstract provided.
Automated Haulage Trucks: Impact On Workplace Safety And Efficiency In Surface Mining Systems,
2026
Missouri University of Science and Technology
Automated Haulage Trucks: Impact On Workplace Safety And Efficiency In Surface Mining Systems, Samuel Frimpong, Mabel Obosu
Mining Engineering Faculty Research & Creative Works
The mining industry continues to face significant safety challenges, particularly with powered haulage equipment (PHE). PHE incidents account for a substantial percentage of mining-related fatalities, often resulting from vehicle collisions, equipment rollovers, operator errors, and blind-spot hazards. Despite the industry's efforts to improve safety protocols, fatal accidents involving haulage trucks remain persistent. The mining industry has increasingly adopted automation to enhance operational efficiency and improve safety, particularly in surface mines where haulage truck accidents remain a critical concern. Automation has significantly reduced human exposure to hazardous tasks by removing operators from dangerous environments, thereby mitigating risks associated with human error …
Geometric And Operational Design Principles For Autonomous Haulage Systems In Open-Pit Mining: A Systematic Review,
2026
Missouri University of Science and Technology
Geometric And Operational Design Principles For Autonomous Haulage Systems In Open-Pit Mining: A Systematic Review, Justina Senam Lotsu, Samuel Frimpong, Muhammad Azeem Raza
Mining Engineering Faculty Research & Creative Works
The rapid deployment of autonomous haulage systems (AHSs) in open-pit mining has significantly altered haul road geometric design requirements, as autonomous trucks operate under strict kinematic constraints related to turning radius, gradient, and braking performance. Since haulage accounts for 50–60% of total mining costs, optimizing haul road geometry is critical for improving operational efficiency, energy consumption, and safety. This study presents a systematic review of 50 highly relevant studies selected from 81 candidate publications published between 2003 and 2025 through structured database searches and citation chaining. The review synthesizes current developments in haul road layout optimization, turning radius accommodation, gradient …
