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Research status, hot spots, difficulties and future development direction of microbial geoengineering

Journal of Road Engineering 2024年第2期4卷 234-255页

作者： Yingxin Zhou Zhiqing Li Peng Zhang Qi Wang Weilin Pan Shuangjiao Wang Xiongyao Xie Department of Geotechnical Engineering College of Civil EngineeringTongji UniversityShanghai 200092China Yunnan Communications Investment&Construction Group Co. Ltd.Kunming 650103China Key Laboratory of Shale Gas and geoengineering Institute of Geology and GeophysicsChinese Academy of SciencesBeijing 100029China College of Earth and Planetary Science University of Chinese Academy of SciencesBeijing 100049China Innovation Academy for Earth Science Chinese Academy of SciencesBeijing 100029China China Energy Technology and Economics Research Institute Beijing 102211China Cangzhou Qugang Expressway Construction Co. Ltd.Cangzhou 062450China Henan Yelu Expressway Construction Co. Ltd.Pingdingshan 467000China Beijing Zhongyan Tiandi Technology Co. Ltd.Beijing 100029China

Microbial geoengineering technology,as a new eco-friendly rock and soil improvement and reinforcement technology,has a wide application ***,this technology still has many deficiencies and is difficult to achieve efficient curing,which has become the bottleneck of large-scale field *** paper reviews the research status,hot spots,difficulties and future development direction microbial induced calcium carbonate precipitation(MICP)*** principle of solidification and the physical and mechanical properties of improved rock and soil are systematically *** solidification efficiency is mainly affected by the reactant itself and the external *** present,the MICP technology has been preliminarily applied in the fields of soil solidification,crack repair,anti-seepage treatment,pollution repair and microbial ***,the technology is currently mainly limited to the laboratory level due to the difficulty of homogeneous mineralization,uneconomical reactants,short microbial activity period and large environmental interference,incidental toxicity of metabolites and poor field *** directions include improving the uniformity of mineralization by improving grouting methods,improving urease persistence by improving urease activity,and improving the adaptability of bacteria to the environment by optimizing bacterial ***,the authors point out the economic advantages of combining soybean peptone,soybean meal and cottonseed as carbon source with phosphogypsum as calcium source to induce CaCO3.

关键词： Microbial geoengineering Microbial induced calcium carbonate precipitation Bacillus pasteurii Urease Phosphogypsum

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Numerical evaluations on the fluid production in the in-situ conversion of continental shale oil reservoirs

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Petroleum Science 2024年第04期21卷 2485-2501页

作者： Zhao-Bin Zhang Maryelin Josefina Brice?o Montilla Shou-Ding Li Xiao Li Jian-Peng Xing Yan-Zhi Hu Key Laboratory of Shale Gas and geoengineering Institute of Geology and Geophysics Chinese Academy of Sciences Institute of Earth Sciences Chinese Academy of Sciences College of Earth and Planetary Sciences University of Chinese Academy of Sciences Institute of Energy Peking University

In-situ conversion presents a promising technique for exploiting continental oil shale formations,characterized by highly fractured organic-rich rock. A 3D in-situ conversion model, which incorporates a discrete fracture network, is developed using a self-developed thermal-flow-chemical(TFC) *** of the model elucidates the in-situ conversion process in three stages and defines the transformation of fluids into three distinct outcomes according to their end stages. The findings indicate that kerogen decomposition increases fluid pressure, activating fractures and subsequently enhancing permeability. A comprehensive analysis of activated fracture permeability and heating power reveals four distinct production modes, highlighting that increasing heating power correlates with higher cumulative fluid production. Activated fractures, with heightened permeability, facilitate the mobility of heavy oil toward production wells but hinder its cracking, thereby limiting light hydrocarbon ***, energy efficiency research demonstrates the feasibility of the in-situ conversion in terms of energy utilization, especially when considering the surplus energy from high-fluctuation energy sources such as wind and solar power to provide heating.

关键词： In-situ conversion Continental shale oil Natural fracture network TFC model

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Automatic recognition of landslides based on YOLOv7 and attention mechanism

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Journal of Mountain Science 2024年第8期21卷 2681-2695页

作者： SONG Yewei GUO Jie WU Gaofeng MA Fengshan LI Fangrui Key Laboratory of Shale Gas and geoengineering Institute of Geology and GeophysicsChinese Academy of SciencesBeijing 100029China Innovation Academy for Earth Sciences Chinese Academy of SciencesBeijing 100029China University of Chinese Academy of Sciences Beijing 100049China

Landslide disasters comprise the majority of geological incidents on slopes,posing severe threats to the safety of human lives and property while exerting a significant impact on the geological *** rapid identification of landslides is important for disaster prevention and control;however,currently,landslide identification relies mainly on the manual interpretation of remote sensing *** interpretation and feature recognition methods are time-consuming,labor-intensive,and challenging when confronted with complex ***,automatic landslide recognition has emerged as a pivotal avenue for future *** this study,a dataset comprising 2000 landslide images was constructed using open-source remote sensing images and *** YOLOv7 model was enhanced using data augmentation algorithms and attention *** optimization models were formulated to realize automatic landslide *** findings demonstrate the commendable performance of the optimized model in automatic landslide recognition,achieving a peak accuracy of 95.92%.Subsequently,the optimized model was applied to regional landslide identification,co-seismic landslide identification,and landslide recognition at various scales,all of which showed robust recognition ***,the model exhibits limitations in detecting small targets,indicating areas for refining the deep-learning *** results of this research offer valuable technical support for the swift identification,prevention,and mitigation of landslide disasters.

关键词： Deep learning Landslide detection Natural disasters Attention mechanism Remote sensing

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Dynamic response of mountain tunnel,bridge,and embankment along the Sichuan-Tibet transportation corridor to active fault based on model tests

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Journal of Mountain Science 2024年第1期21卷 182-199页

作者： HUANG Beixiu QIAO Sijia CHEN Xulei LI Lihui QI Shengwen Key Laboratory of Shale Gas and geoengineering Institute of Geology and GeophysicsChinese Academy of SciencesBeijing 100029China Innovation Academy for Earth Science Chinese Academy of SciencesBeijing 100029China College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijing 100049China

The Sichuan-Tibet transportation corridor is prone to numerous active faults and frequent strong *** extensive studies have individually explored the effect of active faults and strong earthquakes on different engineering structures,their combined effect remains *** research employed multiple physical model tests to investigate the dynamic response of various engineering structures,including tunnels,bridges,and embankments,under the simultaneous influence of cumulative earthquakes and stick-slip misalignment of an active *** prototype selected for this study was the Kanding No.2 tunnel,which crosses the Yunongxi fault zone within the Sichuan-Tibet transportation *** results demonstrated that the tunnel,bridge,and embankment exhibited amplification in response to the input seismic wave,with the amplification effect gradually decreasing as the input peak ground acceleration(PGA)*** PGAs of different engineering structures were weakened by the fault rupture ***,the misalignment of the active fault may decrease the overall stiffness of the engineering structure,leading to more severe damage,with a small contribution from seismic ***,the seismic vibration effect might be enlarged with the height of the engineering structure,and the tunnel is supposed to have a smaller PGA and lower dynamic earth pressure compared to bridges and embankments in strong earthquake zones crossing active *** findings contribute valuable insights for evaluating the dynamic response of various engineering structures crossing an active fault and provide an experimental reference for secure engineering design in the challenging conditions of the Sichuan-Tibet transportation corridor.

关键词： Dynamic response Engineering structure Sichuan-Tibet transportation corridor Active fault Earthquake Model test

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Investigation on the Deformation and Failure Patterns of Loess Cut Slope Based on the Unsaturated Triaxial Test in Yan'an,China

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Journal of Earth Science 2024年第1期35卷 235-247页

作者： Lina Ma Shengwen Qi Songfeng Guo Qiangbing Huang Xiaokun Hou Key Laboratory of Shale Gas and geoengineering Institute of Geology and GeophysicsChinese Academy of SciencesBeijing 100029China University of Chinese Academy of Sciences Beijing 100049China Innovation Academy for Earth Science Chinese Academy of SciencesBeijing 100029China Department of Geological Engineering Chang'an UniversityXi'an 710054China

The large-scale implementation of the Gully Stabilization and Land Reclamation(GSLR)project induces various failures of loess slopes due to excavation in Yan'an,***,the deformation and failure behavior of these excavated loess slopes have not been fully *** this study,field investigation was undertaken for analyzing the distributions and failure features of excavation-induced loess slope *** is found that plastic failure mainly occurs in Q_(3) loess layers and brittle failure in Q_(2).To understand the underlying failure mechanism,a series of triaxial shear tests were conducted on intact Q_(3) and Q_(2) loess samples that with different water contents,namely natural water content(natural),dry side of the natural value(drying 5%),and wet side(wetting 5%).The characteristics of stress-strain curves and failure modes of the samples were *** show that the stress-strain curves of Q_(2) samples are dominated by strain-softening characteristics,while Q_(3) samples mainly exhibit strain-harden features except in the drying ***,shear failures of Q_(3) specimens are mainly caused by shear crack planes(single,X or V-shaped).For Q_(2) loess,the dominance of tensile cracks is observed on the surface of damaged *** disclose the different failure modes of excavated slopes located in different strata,that is,the arc sliding failure of Q_(3) loess slopes and the stepped tensile failure of Q_(2) loess slopes,and are helpful in the design and management of the ongoing GSLR projects in the Loess Plateau.

关键词： loess slope slope stability failure patterns deformation

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Modified Biot Elastic Coefficients in Poroelastic Solid

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Journal of Earth Science 2024年第4期35卷 1397-1401页

作者： Chun Yang Yun Wang Alexey Stovas Liheng Wang School of Geophysics and Information Technology China University of GeosciencesBeijing100083China Department of Geoscience and Petroleum Norwegian University of Science and TechnologyTrondheim 7031Norway Key Laboratory of Shale Gas and geoengineering Institute of Geology and GeophysicsChinese Academy of SciencesBeijing 100029China

0 INTRODUCTION Sedimentary rocks predominantly consist of porous solids saturated with fluids,the kinematic and dynamic characteristics of which are described through poroelasticity theory(Biot,1956a,b,1941).The wave propagation in fluid-saturated po-rous rocks obtains extensive attention owing to its relevance in diverse fields,such as ocean acoustics,exploration geophysics,and soil dynamics(Yang et al.,2023a;Xie et al.,2022).

关键词： saturated Elastic a,b

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Numerical Analysis of Surcharge Effect on Stability and Interaction Mechanism of Slope-Pile-Footing System

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Journal of Earth Science 2024年第3期35卷 955-969页

作者： Chao Xu Lei Xue Yuan Cui Mengyang Zhai Key Laboratory of Shale Gas and geoengineering Institute of Geology and GeophysicsChinese Academy of SciencesBeijing 100029China Innovation Academy for Earth Science Chinese Academy of SciencesBeijing 100029China College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijing 100049China Yellow River Laboratory Zhengzhou UniversityZhengzhou 450001China

To investigate the stability and interaction mechanism of the slope-pile-footing system under surcharge effects,the finite difference method(FDM)was adopted to analyze the response laws of the stability of the reinforced slope,evolution of the critical slip surface,stress characteristic of retaining structures,deformation and failure modes of the slope foundation and building footing under surcharge parameters,including the surcharge intensity,the surcharge position,and the surcharge *** results show that surcharge parameters significantly affect the stability and the deformation characteristics of the slope-pile-footing *** speaking,with the increasing surcharge intensity and the decreasing surcharge position and width,the deformation and failure mode of the system will gradually evolve in a direction that is harmful to its *** interaction mechanism of the slope-pile-footing system is further clarified as the load transfer of the building footing,the generation of the additional stress in the slope foundation,and the adjustment of pile bending moment due to the stress ***,the safety of anti-slide piles will determine the stability of the slope foundation and building *** findings are expected to provide guidance for the comprehensive development and utilization of filled slopes after reinforcement.

关键词： slope-pile-footing system slope stability interaction mechanism finite difference method geotechnical engineering safety engineering.

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岩石组构、地应力与流体黏度对鄂尔多斯盆地长73陆相页岩水力裂缝扩展的影响规律

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Journal of Central South University 2024年第5期31卷 1646-1658页

作者：郭鹏李晓李守定赫建明毛天桥郑博 Institute of Energy School of Earth and Space SciencesPeking UniversityBeijing 100871China Key Laboratory of Shale Gas and geoengineering Institute of Geology and GeophysicsChinese Academy of SciencesBeijing 100029China

页岩油是原油增储上产的重要领域。由于储层结构致密、超低渗透,页岩油工业开发需要对储层进行大规模压裂改造。与海相页岩储层相比,鄂尔多斯盆地长7_(3)陆相页岩油储层矿物成分与岩石组构差异较大,力学非均质性较强。陆相页岩油靶层选... 详细信息

页岩油是原油增储上产的重要领域。由于储层结构致密、超低渗透,页岩油工业开发需要对储层进行大规模压裂改造。与海相页岩储层相比,鄂尔多斯盆地长7_(3)陆相页岩油储层矿物成分与岩石组构差异较大,力学非均质性较强。陆相页岩油靶层选取和高效压裂改造需要明确页岩力学行为和水力裂缝扩展规律。对长7_(3)陆相页岩进行了原位X-ray CT力学试验和三轴水力压裂试验。分析了岩石组构、地应力差和流体黏度对水力裂缝垂向扩展的影响规律。结果表明,岩石组构对陆相页岩的力学行为和破坏过程有显著影响。陆相页岩水力裂缝的垂向扩展受垂向应力差和流体黏度的共同控制。当垂向应力差较小时,黑色页岩中原生弱面显著抑制了水力裂缝的垂向扩展。随着垂向应力差的增大,黑色页岩裂缝体积呈线性增加趋势,而纹层型页岩裂缝体积呈先增大后减小趋势。增大压裂液黏度可减弱层面的阻碍作用,促进水力裂缝垂向扩展。

关键词：陆相页岩力学行为水力裂缝岩石组构地应力流体黏度

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Customized Convolutional Neural Network for Accurate Detection of Deep Fake Images in Video Collections

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Computers, Materials & Continua 2024年第5期79卷 1995-2014页

作者： Dmitry Gura Bo Dong Duaa Mehiar Nidal Al Said Department of Cadastre and geoengineering Kuban State Technological UniversityKrasnodar350072Russian Federation Department of Geodesy Kuban State Agrarian UniversityKrasnodar350072Russian Federation School of Innovation and Entrepreneurship Liaoning UniversityLiaoning110031China Department of IT Middle East UniversityAmman11831Jordan College of Mass Communication Ajman UniversityP.O Box 346AjmanUnited Arab Emirates

The motivation for this study is that the quality of deep fakes is constantly improving,which leads to the need to develop new methods for their *** proposed Customized Convolutional Neural Network method involves extracting structured data from video frames using facial landmark detection,which is then used as input to the *** customized Convolutional Neural Network method is the date augmented-based CNN model to generate‘fake data’or‘fake images’.This study was carried out using Python and its *** used 242 films from the dataset gathered by the Deep Fake Detection Challenge,of which 199 were made up and the remaining 53 were *** seconds were allotted for each *** were 318 videos used in all,199 of which were fake and 119 of which were *** proposedmethod achieved a testing accuracy of 91.47%,loss of 0.342,and AUC score of 0.92,outperforming two alternative approaches,CNN and ***,our method succeeded in greater accuracy than contemporary models such as XceptionNet,Meso-4,EfficientNet-BO,MesoInception-4,VGG-16,and *** novelty of this investigation is the development of a new Convolutional Neural Network(CNN)learning model that can accurately detect deep fake face photos.

关键词： Deep fake detection video analysis convolutional neural network machine learning video dataset collection facial landmark prediction accuracy models

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Comparison of debris flow susceptibility assessment methods:support vector machine,particle swarm optimization,and feature selection techniques

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Journal of Mountain Science 2024年第2期21卷 397-412页

作者： ZHAO Haijun WEI Aihua MA Fengshan DAI Fenggang JIANG Yongbing LI Hui Key Laboratory of Shale Gas and geoengineering Institute of Geology and GeophysicsChinese Academy of SciencesBeijing 100029China Innovation Academy for Earth Science Chinese Academy of SciencesBeijing 100029China Hebei Province Key Laboratory of Sustained Utilization&Development of Water Recourse Hebei GEO UniversityShijiazhuang 050031China School of Water Resources and Environment Hebei GEO UniversityShijiazhuang 050031China The Sixth Geological Brigade of Geological Mineral Exploration and Development Bureau of Hebei Province Shijiazhuang 050085China

The selection of important factors in machine learning-based susceptibility assessments is crucial to obtain reliable susceptibility *** this study,metaheuristic optimization and feature selection techniques were applied to identify the most important input parameters for mapping debris flow susceptibility in the southern mountain area of Chengde City in Hebei Province,China,by using machine learning *** total,133 historical debris flow records and 16 related factors were *** support vector machine(SVM)was first used as the base classifier,and then a hybrid model was introduced by a two-step ***,the particle swarm optimization(PSO)algorithm was employed to select the SVM model ***,two feature selection algorithms,namely principal component analysis(PCA)and PSO,were integrated into the PSO-based SVM model,which generated the PCA-PSO-SVM and FS-PSO-SVM models,*** statistical metrics(accuracy,recall,and specificity)and the area under the receiver operating characteristic curve(AUC)were employed to evaluate and validate the performance of the *** results indicated that the feature selection-based models exhibited the best performance,followed by the PSO-based SVM and SVM ***,the performance of the FS-PSO-SVM model was better than that of the PCA-PSO-SVM model,showing the highest AUC,accuracy,recall,and specificity values in both the training and testing *** was found that the selection of optimal features is crucial to improving the reliability of debris flow susceptibility assessment ***,the PSO algorithm was found to be not only an effective tool for hyperparameter optimization,but also a useful feature selection algorithm to improve prediction accuracies of debris flow susceptibility by using machine learning *** high and very high debris flow susceptibility zone appropriately covers 38.01%of the study area,where debris flow may occur under intens

关键词： Chengde Feature selection Support vector machine Particle swarm optimization Principal component analysis Debris flow susceptibility

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