Deep Underground Science and Engineering最新文献

{"title":"Experimental study on the physical and mechanical properties of carbonatite rocks under high confining pressure after thermal treatment","authors":"Wendong Yang,&nbsp;Bingqi Wang,&nbsp;Jun Yao,&nbsp;Pathegama G. Ranjith,&nbsp;Xiang Zhang","doi":"10.1002/dug2.12079","DOIUrl":"10.1002/dug2.12079","url":null,"abstract":"<p>Oil and gas exploration studies have been increasingly moving deeper into the earth. The rocks in deep and ultra-deep reservoirs are exposed to a complex environment of high temperatures and large geo-stresses. The Tarim oilfield in the Xinjiang Uygur Autonomous Region (Xinjiang for short), China, has achieved a breakthrough in the exploration of deep hydrocarbon reservoirs at a depth of over 9000 m. The mechanical properties of deep rocks are significantly different from those of shallow rocks. In this study, triaxial compression tests were conducted on heat-treated carbonatite rocks to explore the evolution of the mechanical properties of carbonatite rocks under high confining pressure after thermal treatment. The rocks for the tests were collected from reservoirs in the Tarim oilfield, Xinjiang, China. The experiments were performed at confining pressures ranging from atmospheric to 120 MPa and temperatures ranging from 25 to 500°C. The results show that the critical confining pressure of the brittle–ductile transition increases with increasing temperature. Young's modulus is negatively correlated with the temperature and positively correlated with the confining pressure. As the confining pressure increases, the failure mode of the specimens gradually transforms from shear fracture failure into “V”-type failure and finally into bulging failure (multiple shear fractures). With increasing temperature, the failure angle tends to decrease. In addition, an improved version of the Mohr‒Coulomb strength criterion with a temperature-dependent power function was proposed to describe the failure strength of carbonatite rocks after exposure to high temperature and high confining pressure. The surface of the strength envelope of this criterion is temperature dependent, which could reflect the strength evolution of rock under high confining pressures after thermal treatment. Compared with other strength criteria, this criterion is more capable of replicating physical processes.</p>","PeriodicalId":100363,"journal":{"name":"Deep Underground Science and Engineering","volume":"4 1","pages":"105-118"},"PeriodicalIF":0.0,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dug2.12079","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140251787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Opportunities and challenges for gas coproduction from coal measure gas reservoirs with coal-shale-tight sandstone layers: A review","authors":"Wei Liang,&nbsp;Jianguo Wang,&nbsp;Chunfai Leung,&nbsp;Sianghuat Goh,&nbsp;Shuxun Sang","doi":"10.1002/dug2.12077","DOIUrl":"10.1002/dug2.12077","url":null,"abstract":"<p>The extraction of coal measure gas has been shifted toward thin gas reservoirs due to the depletion of medium-thick gas reservoirs. The coproduction of coalbed gas, shale gas, and tight sandstone gas (called a multisuperposed gas system) is a key low-cost technology for the enhancement of natural gas production from thin gas reservoirs in coal measure. As an emerging engineering exploitation technology at its early stage of development, gas coproduction confronts various engineering challenges in hydraulic fracturing, bottom-hole pressure regulation, well network arrangement, and extraction sequence. The current understanding of the opportunities and challenges in the gas coproduction from the multisuperposed gas system is not comprehensive enough. In this case, the previous achievements in the field of gas coproduction should be urgently reviewed to provide valuable guidance and recommendations for further development. This review first discusses the regional and spatial distribution characteristics and possible reservoir combinations of gas reservoirs in coal measure. Then, the basic properties of different reservoirs, engineering challenges, and interlayer interference are comparatively analyzed and discussed. The current simulation models for gas coproduction and potential future research directions are further explored. The results indicate that the coupling effects of reservoir heterogeneity, interwell interference, and geological structure for increasing coproduction prediction accuracy should be included in future simulation models for gas coproduction. Careful investigation is required to explore the mechanisms and their further quantifications on the effects of interlayer interference in gas coproduction. The fractal dimension as a scale can play an important role in the characterization of the gas and water transport in different reservoirs. The machine learning methods have tremendous potential to provide accurate and fast predictions for gas coproduction and interlayer interference.</p>","PeriodicalId":100363,"journal":{"name":"Deep Underground Science and Engineering","volume":"4 1","pages":"83-104"},"PeriodicalIF":0.0,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dug2.12077","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140252339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on creep deformation and energy development of underground surrounding rock under four-dimensional support","authors":"Zhanguo Ma,&nbsp;Junyu Sun,&nbsp;Peng Gong,&nbsp;Pengfei Yan,&nbsp;Nan Cui,&nbsp;Ruichong Zhang","doi":"10.1002/dug2.12078","DOIUrl":"10.1002/dug2.12078","url":null,"abstract":"<p>There is an urgent need to develop optimal solutions for deformation control of deep high-stress roadways, one of the critical problems in underground engineering. The previously proposed four-dimensional support (hereinafter 4D support), as a new support technology, can set the roadway surrounding rock under three-dimensional pressure in the new balanced structure, and prevent instability of surrounding rock in underground engineering. However, the influence of roadway depth and creep deformation on the surrounding rock supported by 4D support is still unknown. This study investigated the influence of roadway depth and creep deformation time on the instability of surrounding rock by analyzing the energy development. The elastic strain energy was analyzed using the program redeveloped in FLAC^3D. The numerical simulation results indicate that the combined support mode of 4D roof supports and conventional side supports is highly applicable to the stability control of surrounding rock with a roadway depth exceeding 520 m. With the increase of roadway depth, 4D support can effectively restrain the area and depth of plastic deformation in the surrounding rock. Further, 4D support limits the accumulation range and rate of elastic strain energy as the creep deformation time increases. 4D support can effectively reduce the plastic deformation of roadway surrounding rock and maintain the stability for a long deformation period of 6 months. As confirmed by in situ monitoring results, 4D support is more effective for the long-term stability control of surrounding rock than conventional support.</p>","PeriodicalId":100363,"journal":{"name":"Deep Underground Science and Engineering","volume":"3 1","pages":"25-38"},"PeriodicalIF":0.0,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dug2.12078","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140078689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of integrated geophysical techniques in geothermal exploration in Binhai County, Jiangsu Province","authors":"Juncheng Wang,&nbsp;Shiyin Gao,&nbsp;Jianguo Wang,&nbsp;Lin Li,&nbsp;Xiaoyan Gong,&nbsp;Jinbao Su","doi":"10.1002/dug2.12075","DOIUrl":"https://doi.org/10.1002/dug2.12075","url":null,"abstract":"<p>Integrated geophysical technology is a necessary and effective means for geothermal exploration. However, integration of geophysical technology for large-scale surveys with those for geothermal reservoir localization is still in development. This study used the controlled source audio-frequency magnetotelluric method technology for large-scale exploration to obtain underground electrical structure information and micromotion detection technology to obtain underground wave velocity structure information. The combination of two detection technologies was used for local identification of geothermal reservoirs. Further, auxiliary correction and inversion constraint were implemented through the audio magnetotelluric sounding technology for maximum authenticity restoration of the near- and transition-field data. Through these technology improvements, a geothermal geological model was established for the Binhai County of Jiangsu Province in China and potential geothermal well locations were identified. On this basis, a geothermal well was drilled nearly 3000 m deep, with a daily water volume of over 2000 m³/day and a geothermal water temperature of 51°C at the well head. It is found that predictions using the above integrated geophysical exploration technology are in good agreement with the well geological formation data. This integrated geophysical technology can be effectively applied for geothermal exploration with high precision and reliability.</p>","PeriodicalId":100363,"journal":{"name":"Deep Underground Science and Engineering","volume":"3 3","pages":"338-348"},"PeriodicalIF":0.0,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dug2.12075","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142233102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of an optimization model for a monitoring point in tunnel stress deduction using a machine learning algorithm","authors":"Xuyan Tan,&nbsp;Weizhong Chen,&nbsp;Luyu Wang,&nbsp;Wei Ye","doi":"10.1002/dug2.12076","DOIUrl":"10.1002/dug2.12076","url":null,"abstract":"<p>Monitoring of the mechanical behavior of underwater shield tunnels is vital for ensuring their long-term structural stability. Typically determined by empirical or semi-empirical methods, the limited number of monitoring points and coarse monitoring schemes pose huge challenges in terms of capturing the complete mechanical state of the entire structure. Therefore, with the aim of optimizing the monitoring scheme, this study introduces a spatial deduction model for the stress distribution of the overall structure using a machine learning algorithm. Initially, clustering experiments were performed on a numerical data set to determine the typical positions of structural mechanical responses. Subsequently, supervised learning methods were applied to derive the data information across the entire surface by using the data from these typical positions, which allows flexibility in the number and combinations of these points. According to the evaluation results of the model under various conditions, the optimized number of monitoring points and their locations are determined. Experimental findings suggest that an excessive number of monitoring points results in information redundancy, thus diminishing the deduction capability. The primary positions for monitoring points are determined as the spandrel and hance of the tunnel structure, with the arch crown and inch arch serving as additional positions to enhance the monitoring network. Compared with common methods, the proposed model shows significantly improved characterization abilities, establishing its reliability for optimizing the monitoring scheme.</p>","PeriodicalId":100363,"journal":{"name":"Deep Underground Science and Engineering","volume":"4 1","pages":"35-45"},"PeriodicalIF":0.0,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dug2.12076","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140267177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental study on the influence of content and fineness of fly ash on the mechanical properties of grouting slurries","authors":"Hua Jiang,&nbsp;Handong Zhang,&nbsp;Xiaoyan Zhang,&nbsp;Jinxun Zhang,&nbsp;Yusheng Jiang","doi":"10.1002/dug2.12070","DOIUrl":"10.1002/dug2.12070","url":null,"abstract":"<p>Excavation gaps around the front shield can be generated during shield construction, resulting in significant ground settlement. Traditional synchronous grouting slurries are unsuitable for filling these gaps during tunneling under existing subway lines. To address this issue, experiments are conducted on mix characteristics and hardening properties of slurries with variations in fineness and contents of fly ash. The experimental and computed tomography scan results yield the following findings: (1) fly ash with high fineness can effectively reduce the early strength of slurries and enhance their injectability. This improves the filling effect on micropores in the slurry and ultimately enhances the final hardening strength. (2) Fineness of fly ash controls the process of slurry hydration. The higher the fineness of fly ash, the more visible the exothermic hydration of slurry and the earlier the highest temperature peak appears. (3) Fly ash with high fineness can effectively increase the density and consolidation rate of slurries, resulting in greater improvement in slurry strength, particularly when the ratio of fly ash to cement (<i>m</i>_f/<i>m</i>_c) is 0.75. (4) Fly ash with high fineness can effectively decrease the likelihood of appearance of pores in the slurry, optimize the pore structure, and enhance the strength of slurries after consolidation.</p>","PeriodicalId":100363,"journal":{"name":"Deep Underground Science and Engineering","volume":"3 4","pages":"467-480"},"PeriodicalIF":0.0,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dug2.12070","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140430530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A meso-damage-based constitutive model for yellow sandstone under dry–wet cycles","authors":"Zhe Qin,&nbsp;Runchang Zhang,&nbsp;Weizheng Mao,&nbsp;Jihuan Han,&nbsp;Zhiwen Li,&nbsp;Sunhao Zhang","doi":"10.1002/dug2.12071","DOIUrl":"10.1002/dug2.12071","url":null,"abstract":"<p>The mechanical properties of rocks weaken under dry–wet cycles. This weakening may significantly modify the safety reserve of underground caverns or reservoir bank slopes. However, meso-damage has not been carefully studied based on micromechanical observations and analyses. Therefore, in this study, meso-damage of a yellow sandstone is investigated and a meso-damage-based constitutive model for dry–wet cycles is proposed. First, computed tomography scanning and uniaxial compression tests were conducted on yellow sandstones under different dry–wet cycles. Second, the evolution of rock mesostructures and the damage mechanism subjected to dry–wet cycles were simulated using the discrete element method with Particle Flow Code in 2 Dimensions (PFC2D) software. Third, a constitutive model was proposed based on the meso-statistical theory and damage mechanics. Finally, this constitutive model was verified with the experimental results to check its prediction capability. It is found that the radius and number of pore throats in the sandstone increase gradually with the number of dry–wet cycles, and the pore structure connectivity is also improved. The contact force of sandstone interparticle cementation decreases approximately linearly and the continuity of the particle contact network is continuously broken. The meso-deformation and strength parameters show similar declining patterns to the modulus of elasticity and peak strength of the rock sample, respectively. This meso-damage-based constitutive model can describe well the rock deformation in the initial pressure density stage and the damage stage under the coupling effect of dry–wet cycles and loads.</p>","PeriodicalId":100363,"journal":{"name":"Deep Underground Science and Engineering","volume":"3 4","pages":"497-507"},"PeriodicalIF":0.0,"publicationDate":"2024-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dug2.12071","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140432071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Numerical study on local scour characteristics around submarine pipelines in the Yellow River Delta silty sandy soil under waves and currents","authors":"Peng Yu,&nbsp;Ruigeng Hu,&nbsp;Jike Zhang,&nbsp;Qi Yang,&nbsp;Jieru Zhao,&nbsp;Lei Cao,&nbsp;Chenghao Zhu","doi":"10.1002/dug2.12068","DOIUrl":"10.1002/dug2.12068","url":null,"abstract":"<p>Due to their high reliability and cost-efficiency, submarine pipelines are widely used in offshore oil and gas resource engineering. Due to the interaction of waves, currents, seabed, and pipeline structures, the soil around submarine pipelines is prone to local scour, severely affecting their operational safety. With the Yellow River Delta as the research area and based on the renormalized group (RNG) <i>k-ε</i> turbulence model and Stokes fifth-order wave theory, this study solves the Navier–Stokes (N–S) equation using the finite difference method. The volume of fluid (VOF) method is used to describe the fluid-free surface, and a three-dimensional numerical model of currents and waves–submarine pipeline–silty sandy seabed is established. The rationality of the numerical model is verified using a self-built waveflow flume. On this basis, in this study, the local scour development and characteristics of submarine pipelines in the Yellow River Delta silty sandy seabed in the prototype environment are explored and the influence of the presence of pipelines on hydrodynamic features such as surrounding flow field, shear stress, and turbulence intensity is analyzed. The results indicate that (1) local scour around submarine pipelines can be divided into three stages: rapid scour, slow scour, and stable scour. The maximum scour depth occurs directly below the pipeline, and the shape of the scour pits is asymmetric. (2) As the water depth decreases and the pipeline suspension height increases, the scour becomes more intense. (3) When currents go through a pipeline, a clear stagnation point is formed in front of the pipeline, and the flow velocity is positively correlated with the depth of scour. This study can provide a valuable reference for the protection of submarine pipelines in this area.</p>","PeriodicalId":100363,"journal":{"name":"Deep Underground Science and Engineering","volume":"3 2","pages":"182-196"},"PeriodicalIF":0.0,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dug2.12068","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140452210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Offshore high-grade limemud resources of west coast of India: Economic potential and industrial applications","authors":"Anil Kumar Adukadukkam,&nbsp;Rachna Pillai,&nbsp;Mamatha Puthiyathara Kanakamma","doi":"10.1002/dug2.12064","DOIUrl":"10.1002/dug2.12064","url":null,"abstract":"<p>Limestone is one of the essential raw materials in the cement, paint, steel, ceramic, glass, chemical, pharmaceutical, paper, and fertilizer industries. In India, only 8% of the limestone resources are placed under the reserve category, of which 97% is of cement grade. Thus, India depends on imports to bridge the demand-supply gap of steel, blast furnace, and chemical-grade limestone. Efforts of Geological Survey of India (GSI) to locate alternate sources for limestone led to the discovery of enormous quantities of carbonate minerals called limemud from the continental shelf margin of the west coast of India. GSI carried out systematic studies to explore the nature of the disposition, quality, quantity, and suitability of the offshore limemud for various industrial applications. A preliminary estimate of resources using high-resolution subbottom profiling and sediment core sample studies established the occurrence of more than 172 billion tonnes of high-grade (The content of CaCO₃ is greater than 80 wt%) limemud in 0.4–28.0 m thick stratified sediment layers spread over an area of 18 000 km². Chemical, physical, mineralogical, beneficiation, and agglomeration studies found the offshore limemud as a potential replacement for limestone in the cement, filler, blast furnace, steel melting shop, lime production, paint, and Grade-I steel industries. An assessment of mining and transportation costs indicates that the offshore limemud (USD 5–6/ton) is more cost-effective than that imported from other countries (USD16-18/ton). With several advantageous factors like low impurity, mode of occurrence in overburden-free stratified form, fine-grained slurry nature, and shallow water depth, sustainable mining of offshore limemud could be a future reality with controllable technological, economic, and environmental challenges.</p>","PeriodicalId":100363,"journal":{"name":"Deep Underground Science and Engineering","volume":"3 2","pages":"163-170"},"PeriodicalIF":0.0,"publicationDate":"2024-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dug2.12064","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139448585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Acknowledgment of reviewers","authors":"","doi":"10.1002/dug2.12074","DOIUrl":"https://doi.org/10.1002/dug2.12074","url":null,"abstract":"&lt;p&gt;The editors of &lt;i&gt;Deep Underground Science and Engineering&lt;/i&gt; wish to extend our deepest thanks to the following peer reviewers in 2022 and 2023. We are grateful to their contributions of their time and expertise to improve the quality of &lt;i&gt;Deep Underground Science and Engineering&lt;/i&gt;. We have made every effort to ensure that all ad hoc reviewers are correctly listed. Our apologies are given to those whose names were unwittingly misspelled or omitted.&lt;/p&gt;&lt;p&gt;Saeed Aligholi&lt;/p&gt;&lt;p&gt;Matteo Antelmi&lt;/p&gt;&lt;p&gt;Wu Cai&lt;/p&gt;&lt;p&gt;Yajun Cao&lt;/p&gt;&lt;p&gt;Yonghua Cao&lt;/p&gt;&lt;p&gt;Jueliang Chen&lt;/p&gt;&lt;p&gt;Xin Chen&lt;/p&gt;&lt;p&gt;Xuxin Chen&lt;/p&gt;&lt;p&gt;Zhangpeng Chen&lt;/p&gt;&lt;p&gt;Haiyong Cheng&lt;/p&gt;&lt;p&gt;Jinguo Cheng&lt;/p&gt;&lt;p&gt;Xin Cui&lt;/p&gt;&lt;p&gt;Hongyu Duan&lt;/p&gt;&lt;p&gt;Lifeng Fan&lt;/p&gt;&lt;p&gt;Ning Fan&lt;/p&gt;&lt;p&gt;Zhihan Fan&lt;/p&gt;&lt;p&gt;Qian Fang&lt;/p&gt;&lt;p&gt;Gan Feng&lt;/p&gt;&lt;p&gt;Guohui Feng&lt;/p&gt;&lt;p&gt;Xianhui Feng&lt;/p&gt;&lt;p&gt;Guoqiang Fu&lt;/p&gt;&lt;p&gt;Jinwei Fu&lt;/p&gt;&lt;p&gt;Quan Gan&lt;/p&gt;&lt;p&gt;Xiaolu Gan&lt;/p&gt;&lt;p&gt;Rui Gao&lt;/p&gt;&lt;p&gt;Yubing Gao&lt;/p&gt;&lt;p&gt;Bin Gong&lt;/p&gt;&lt;p&gt;Fengqiang Gong&lt;/p&gt;&lt;p&gt;Wanli Guo&lt;/p&gt;&lt;p&gt;Xingsen Guo&lt;/p&gt;&lt;p&gt;Jianyong Han&lt;/p&gt;&lt;p&gt;Zhenyu Han&lt;/p&gt;&lt;p&gt;Bowen Hu&lt;/p&gt;&lt;p&gt;Dawei Hu&lt;/p&gt;&lt;p&gt;Ran Hu&lt;/p&gt;&lt;p&gt;Wanrui Hu&lt;/p&gt;&lt;p&gt;Xiongyu Hu&lt;/p&gt;&lt;p&gt;Xunjian Hu&lt;/p&gt;&lt;p&gt;Takuya Ishibashi&lt;/p&gt;&lt;p&gt;Yinlin Ji&lt;/p&gt;&lt;p&gt;Lishuai Jiang&lt;/p&gt;&lt;p&gt;Quan Jiang&lt;/p&gt;&lt;p&gt;Shu Jiang&lt;/p&gt;&lt;p&gt;jiangang Jiao&lt;/p&gt;&lt;p&gt;Viroon Kamchoom&lt;/p&gt;&lt;p&gt;XIangsong Kong&lt;/p&gt;&lt;p&gt;Pinnaduwa H. S. W. Kulatilake&lt;/p&gt;&lt;p&gt;Vinod Kushvaha&lt;/p&gt;&lt;p&gt;Guohui Lei&lt;/p&gt;&lt;p&gt;Biao Li&lt;/p&gt;&lt;p&gt;Diyuan Li&lt;/p&gt;&lt;p&gt;Jingfa Li&lt;/p&gt;&lt;p&gt;Jinlong Li&lt;/p&gt;&lt;p&gt;Peibo Li&lt;/p&gt;&lt;p&gt;Qi Li&lt;/p&gt;&lt;p&gt;Wai Li&lt;/p&gt;&lt;p&gt;Xiaoshuang Li&lt;/p&gt;&lt;p&gt;Xinggao Li&lt;/p&gt;&lt;p&gt;Yingchun Li&lt;/p&gt;&lt;p&gt;Yong Li&lt;/p&gt;&lt;p&gt;Wei Liang&lt;/p&gt;&lt;p&gt;Hang Lin&lt;/p&gt;&lt;p&gt;Kunyue Ling&lt;/p&gt;&lt;p&gt;Hejuan Liu&lt;/p&gt;&lt;p&gt;Jianfeng Liu&lt;/p&gt;&lt;p&gt;Kai Liu&lt;/p&gt;&lt;p&gt;Richeng Liu&lt;/p&gt;&lt;p&gt;Xiang Liu&lt;/p&gt;&lt;p&gt;Xige Liu&lt;/p&gt;&lt;p&gt;Xin Liu&lt;/p&gt;&lt;p&gt;Zaobao Liu&lt;/p&gt;&lt;p&gt;Zihan Liu&lt;/p&gt;&lt;p&gt;Wenbo Lu&lt;/p&gt;&lt;p&gt;Yimin Lu&lt;/p&gt;&lt;p&gt;Zhao Lu&lt;/p&gt;&lt;p&gt;Ning Luo&lt;/p&gt;&lt;p&gt;Qing Ma&lt;/p&gt;&lt;p&gt;Tianshou Ma&lt;/p&gt;&lt;p&gt;Mohamed Malki&lt;/p&gt;&lt;p&gt;Piotr Malkowski&lt;/p&gt;&lt;p&gt;T. Matsumoto&lt;/p&gt;&lt;p&gt;Fanzhen Meng&lt;/p&gt;&lt;p&gt;ShengJun Miao&lt;/p&gt;&lt;p&gt;Fanlu Min&lt;/p&gt;&lt;p&gt;Pinqiang Mo&lt;/p&gt;&lt;p&gt;Dongjiang Pan&lt;/p&gt;&lt;p&gt;Jun Peng&lt;/p&gt;&lt;p&gt;Wei Qiao&lt;/p&gt;&lt;p&gt;Peng Qiu&lt;/p&gt;&lt;p&gt;Sheng Ren&lt;/p&gt;&lt;p&gt;Yubin Ren&lt;/p&gt;&lt;p&gt;Shengjie Rui&lt;/p&gt;&lt;p&gt;Alireza Salmachi&lt;/p&gt;&lt;p&gt;Payam Shafigh&lt;/p&gt;&lt;p&gt;Pengfei Shan&lt;/p&gt;&lt;p&gt;Honglei Shen&lt;/p&gt;&lt;p&gt;Shaoshuai Shi&lt;/p&gt;&lt;p&gt;Xiangchao Shi&lt;/p&gt;&lt;p&gt;Guangyao Si&lt;/p&gt;&lt;p&gt;Yang Song&lt;/p&gt;&lt;p&gt;Haijian Su&lt;/p&gt;&lt;p&gt;Chuang Sun&lt;/p&gt;&lt;p&gt;Huan Sun&lt;/p&gt;&lt;p&gt;Behzad Tahmouresi&lt;/p&gt;&lt;p&gt;Lihai Tan&lt;/p&gt;&lt;p&gt;Xuhai Tang&lt;/p&gt;&lt;p&gt;Xu Tao&lt;/p&gt;&lt;p&gt;Teng Teng&lt;/p&gt;&lt;p&gt;Nitin Tiwari&lt;/p&gt;&lt;p&gt;Lluis Torres&lt;/p&gt;&lt;p&gt;Zeen Wan&lt;/p&gt;&lt;p&gt;Beifang Wang&lt;/p&gt;&lt;p&gt;Daobing Wang&lt;/p&gt;&lt;p&gt;Fuyong Wang&lt;/p&gt;&lt;p&gt;Guiling Wang&lt;/p&gt;&lt;p&gt;Haijun Wang&lt;/p&gt;&lt;p&gt;Hao Wang&lt;/p&gt;&lt;p&gt;Huachuan Wang&lt;/p&gt;&lt;p&gt;Jun Wang&lt;/p&gt;&lt;p&gt;Luqi Wang&lt;/p&gt;&lt;p&gt;Qi Wang&lt;/p&gt;&lt;p&gt;Shanyong Wang&lt;/p&gt;&lt;p&gt;Shimin Wang&lt;/p&gt;&lt;p&gt;Zhengzheng Wang&lt;/p&gt;&lt;p&gt;Louis Wong&lt;/p&gt;&lt;p&gt;Fei Wu&lt;/p&gt;&lt;p&gt;Wei Wu&lt;/p&gt;&lt;p&gt;Kaiwen Xia&lt;/p&gt;&lt;p&gt;Jing Xie&lt;/p&gt;&lt;p&gt;Weiqiang Xie&lt;/p&gt;&lt;p&gt;Jiang Xu&lt;/p&gt;&lt;p&gt;Jingmin Xu&lt;/p&gt;&lt;p&gt;Tianfu Xu&lt;/p&gt;&lt;p&gt;Yi Xue&lt;/p&gt;&lt;p&gt;Yan Yan&lt;/p&gt;&lt;p&gt;Duoxing Yang&lt;/p&gt;&lt;p&gt;Feng Yang&lt;/p&gt;&lt;p&gt;Wenbo Yang&lt;/p&gt;&lt;p&gt;Wendong Yang&lt;/p&gt;&lt;p&gt;Zhiwei Ye&lt;/p&gt;&lt;p&gt;Rui Yong&lt;/p&gt;&lt;p&gt;Yang Yu&lt;/p&gt;&lt;p&gt;Chaoyun Yu&lt;/p&gt;&lt;p&gt;Diao Yu&lt;/p&gt;&lt;p&gt;Pengliang Yu&lt;/p&gt;&lt;p&gt;Tiantang Yu&lt;/p&gt;&lt;p&gt;Chuanqing Zhang&lt;/p&gt;&lt;p","PeriodicalId":100363,"journal":{"name":"Deep Underground Science and Engineering","volume":"2 4","pages":"406-407"},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dug2.12074","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143187321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}