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Methane adsorption comparison of different thermal maturity kerogens in shale gas system

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Chinese Journal Of Geochemistry 2014年第4期33卷 425-430页

作者： HU Haiyan school of geosciences Yangtze University

To determine the effect of thermal maturity on the methane sorption in shale gas system, two different thermal maturity kerogens of type Ⅱ isolated from Barnett shale of Fort Worth Basin were used to measure the methane adsorption amount under the pressure ranging from 0 to 14 MPa at constant temperatures. One kerogen was called Lee C-5-1 with 0.58% of vitrinite reflectance; the other was called Blakely#1 kerogen with 2.01% of vitrinite reflectance. The results suggested that the methane sorption capacity of kerogen Blakely#1 was higher than the immature kerogen Lee C-5-1, and its Langmuir constant and Langmuir maximum sorption amount, which were reached by fitting the measured data for at least square method, greater than the immature kerogen Lee C-5-1. This may be associated with that nanopores opened up during the degradation of organic matter, and which increased the specific surface area of kerogen. Therefore, the over mature kerogen has greater methane adsorption capacity.

关键词：甲烷吸附热成熟度干酪根气系统页岩吸附比镜质组反射率镜质体反射率

Stability and Stabilization of Sampled-Data Based LFC for Power Systems:A Data-Driven Method

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IEEE/CAA Journal of Automatica Sinica 2025年第1期 291-293页

作者： Yu-Long Fan Chuan-Ke Zhang Yong He the school of Automation China University of Geosciences the Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems the Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education IEEE

Dear Editor,This letter is concerned with stability analysis and stabilization design for sampled-data based load frequency control(LFC) systems via a data-driven method. By describing the dynamic behavior of LFC systems based on a data-based representation, a stability criterion is derived to obtain the admissible maximum sampling interval(MSI) for a given controller and a design condition of the PI-type controller is further developed to meet the required MSI. Finally, the effectiveness of the proposed methods is verified by a case study.

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Characteristics of internal-wave and internal-tide deposits and their hydrocarbon potential

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Petroleum Science 2008年第1期5卷 37-44页

作者： He Youbin Gao Zhenzhong Luo Jinxiong Luo Shunshe Liu Xuefeng school of geosciences Yangtze University Jingzhou Hubei 434023 China

The study of internal-wave and internal-tide deposits is a new research field on sedimentology during the last ten years. Deep-water traction currents induced by internal waves and internal tides are developed on the modern sea floor, which can form not only all kinds of small scale and dispersal deepwater traction currents deposits, but also large-scale sediment wave in km-size scale. In this paper, the concepts and features of internal waves and internal tides in oceanography are introduced, and the characteristics, sedimentary sequences, sedimentary microfacies and sedimentation models of internalwave and internal-tide deposits found and the origin of large scale sediment waves in deep sea bottom are summarized. The relationship between internal-wave and internal-tide deposits and petroleum is discussed, and finally internal-wave and internal-tide deposits are shown to be a new potential field for petroleum exploration.

关键词： Internal wave internal-tide deposits sediment wave hydrocarbon potential

Sedimentary characteristics and internal architecture of a river-dominated delta controlled by autogenic process:implications from a flume tank experiment

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Petroleum Science 2019年第6期16卷 1237-1254页

作者： Wen-Jie Feng Chang-Min Zhang Tai-Ju Yin Yan-Shu Yin Jun-Ling Liu Rui Zhu Qing-Hai Xu Zhe Chen school of geosciences Yangtze UniversityWuhan 430100HubeiChina

Autogenic processes are widely found in various sedimentary systems and they play an important role in the depositional evolution and corresponding sedimentary ***,autogenic processes are often affected by changing allogenic factors and are difficult to be identified and analyzed from modern and ancient *** the flume tank experiment under constant boundary conditions,the depositional process,evolution principles,and the sedimentary architecture of a river-dominated delta was presented,and a corresponding sedimentary architecture model was *** evolution of river-dominated delta controlled only by autogenic process is obviously periodic,and each autogenic cycle can be divided into an initial progradational stage,a middle retrogratational stage,and a late aggradational–progradational *** the initial progradational stage,one feeder channel incised into the delta plain,mouth bar(s)was formed in front of the channel mouth,and small-scale crevasse splays were formed on the delta *** the middle retrogradational stage,the feeder channel was blocked by the mouth bar(s)which grew out of water at the end of the initial stage,and a set of large-scale distributary splay complexes were formed on the delta *** distributary splay complexes were retrogradationally overlapped due to the continuous migration of the bifurcation point of the feeder *** the late aggradational–progradational stage,the feeder channel branched into several radial distributary channels,overlapped distributary channels were formed on the delta plain,and terminal lobe complexes were formed at the end of distributary *** three sedimentary layers formed in the three stages constituted an autogenic *** experimental delta consisted of six autogenic depositional *** allocation of accommodation space and the following adaptive sediments filling were the two main driving factors of the autogenic evolution of deltas.

关键词： River-dominated delta Autogenic process Depositional process Sedimentary architecture Flume tank experiment

Single-cell omics: experimental workflow, data analyses and applications

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Science China Life Sciences 2025年第1期68卷 5-102页

作者： Fengying Sun Haoyan Li Dongqing Sun Shaliu Fu Lei Gu Xin Shao Qinqin Wang Xin Dong Bin Duan Feiyang Xing Jun Wu Minmin Xiao Fangqing Zhao Jing-Dong J.Han Qi Liu Xiaohui Fan Chen Li Chenfei Wang Tieliu Shi Department of Clinical Laboratory the Affiliated Wuhu Hospital of East China Normal University (The Second People's Hospital of Wuhu City) Pharmaceutical Informatics Institute College of Pharmaceutical SciencesZhejiang University Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji university) Ministry of EducationOrthopaedic DepartmentTongji HospitalBioinformatics DepartmentSchool of Life Sciences and TechnologyTongji University Frontier Science Center for Stem Cells School of Life Sciences and TechnologyTongji University Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine Shanghai East HospitalBioinformatics DepartmentSchool of Life Sciences and TechnologyTongji University Research Institute of Intelligent Computing Zhejiang Lab Shanghai Research Institute for Intelligent Autonomous Systems Center for Single-cell Omics School of Public HealthShanghai Jiao Tong University School of Medicine National Key Laboratory of Chinese Medicine Modernization Innovation Center of Yangtze River DeltaZhejiang University Center for Bioinformatics and Computational Biology Shanghai Key Laboratory of Regulatory Biologythe Institute of Biomedical Sciences and School of Life SciencesEast China Normal University Beijing Institutes of Life Science Chinese Academy of Sciences Peking-Tsinghua Center for Life Sciences Academy for Advanced Interdisciplinary StudiesCenter for Quantitative Biology (CQB)Peking University Zhejiang Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases Women's HospitalZhejiang University School of Medicine Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE School of StatisticsEast China Normal University

Cells are the fundamental units of biological systems and exhibit unique development trajectories and molecular features. Our exploration of how the genomes orchestrate the formation and maintenance of each cell, and control the cellular phenotypes of various organismsis, is both captivating and intricate. Since the inception of the first single-cell RNA technology, technologies related to single-cell sequencing have experienced rapid advancements in recent years. These technologies have expanded horizontally to include single-cell genome, epigenome,proteome, and metabolome, while vertically, they have progressed to integrate multiple omics data and incorporate additional information such as spatial sc RNA-seq and CRISPR screening. Single-cell omics represent a groundbreaking advancement in the biomedical field,offering profound insights into the understanding of complex diseases, including cancers. Here, we comprehensively summarize recent advances in single-cell omics technologies, with a specific focus on the methodology section. This overview aims to guide researchers in selecting appropriate methods for single-cell sequencing and related data analysis.

关键词： single-cell sequencing genome epigenome proteomics metabolomics multimodal spatial transcriptomics CRISPR screening

Prediction of Low-Permeability Reservoirs Performances Using Long and Short-Term Memory Machine Learning

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Fluid Dynamics & Materials Processing 2022年第5期18卷 1521-1528页

作者： Guowei Zhu Kangliang Guo Haoran Yang Xinchen Gao Shuangshuang Zhang school of geosciences Yangtze UniversityWuhan430100China

In order to overcome the typical limitations of numerical simulation methods used to estimate the production of low-permeability reservoirs,in this study,a new data-driven approach is proposed for the case of water-driven hypo-permeable *** particular,given the bottlenecks of traditional recurrent neural networks in handling time series data,a neural network with long and short-term memory is used for such a *** method can reduce the time required to solve a large number of partial differential *** such,it can therefore significantly improve the efficiency in predicting the needed production *** examples about water-driven hypotonic reservoirs are provided to demonstrate the correctness of the method and its ability to meet the requirements for practical reservoir applications.

关键词： Water flooding flow in porous media data-driven LSTM CFD

Machine Learning-Based Prediction of Oil-Water Flow Dynamics in Carbonate Reservoirs

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Fluid Dynamics & Materials Processing 2022年第4期18卷 1195-1203页

作者： Xianhe Yue Shunshe Luo school of geosciences Yangtze UniversityWuhan430100China

Because carbonate rocks have a wide range of reservoir forms,a low matrix permeability,and a complicated seam hole formation,using traditional capacity prediction methods to estimate carbonate reservoirs can lead to significant *** propose a machine learning-based capacity prediction method for carbonate rocks by analyzing the degree of correlation between various factors and three machine learning models:support vector machine,BP neural network,and elastic *** error rate for these three models are 10%,16%,and 33%,respectively(according to the analysis of 40 training wells and 10 test wells).

关键词： Carbonate rock machine learning support vector machine fluid dynamics neural network

Application of remote sensing in the description of fluvial system in dryland:A case study of Golmud distributive fluvial system,Qaidam Basin,NW China

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Journal of Palaeogeography 2022年第4期11卷 601-617页

作者： Xiang-Hui Zhang Chang-Min Zhang Wen-Jie Feng Rui Zhu Qing-Hai Xu school of geosciences Yangtze UniversityWuhan430100Hubei ProvinceChina

Distributive fluvial systems(DFS)are widespread in drylands in the northwestern *** differences in fluvial morphology in drylands is beneficial for studying ancient rock records and the extraterrestrial surface *** remote sensing image,characterized by real-time and possibility of repeated observations,is a vital tool for recording and comparing fluvial systems in *** remote sensing technology is a method of investigating fluvial *** to the limited accuracy of satellite imagery,there are few reports on the detailed description of the fluvial system in drylands of NW *** analyze the pattern of fluvial morphology changes in the Golmud distributive fluvial system(DFS)in the Qaidam Basin,northwestern China,using satellite remote sensing and unmanned aerial vehicles(UAV).Firstly,we use Google Earth real-time image data,historical image data,and radar digital elevation data to extract geomorphological information;then the UAV remote sensing image data were used to interpret fluvial network information;finally,we use the gray-scale differential vector method to describe the fluvial *** zones have been identified in the Golmud DFS:the proximal,the medial,and the distal,by comparing the differences in topographic and geomorphic characteristics,fluvial morphologies,and sedimentary characteristics of the Golmud *** proximal slope is higher than the other two zones,and the geomorphic features are mainly gravel *** proximal fluvial morphologies are mainly large braided rivers,and sediments are more gravelly and less *** medial slope is relatively small,and the geomorphic features are mostly oasis *** medial fluvial morphologies are mainly meandering rivers associating with braided rivers,and sediments are more sandy and less *** distal slope is the lowest,and the geomorphic features are mostly oasis plains,lakes,and marsh *** distal fluvial morphologies are mainly meande

关键词： Qaidam basin Remote sensing UAV Distributive fluvial system Fluvial morphology Dryland fluvial systems

A Griesbachian(Early Triassic) Mollusc Fauna from the Sidazhai Section, Southwest China, with Paleoecological Insights on the Proliferation of Genus Claraia(Bivalvia)

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Journal of Earth Science 2018年第4期29卷 794-805页

作者： Yunfei Huang Jinnan Tong Margaret L Fraiser school of geosciences Yangtze University State Key Laboratory of Biogeology and Environmental Geology China University of Geosciences Department of geosciences University of Wisconsin-Milwaukee

After the end-Permian mass extinction, genus Claraia （Bivalvia） was the most abundant and most noticeable fossil during the survival and recovery stage. However, the reasons for the proliferation of Claraia are still debated. This paper describes a new Griesbachian （Early Triassic） mollusc fauna from deep-water settings in South China in the aftermath of end-Permian mass extinction. This fauna yielded five bivalve species in two genera （Claraia griesbachi, C. wangi, C. stachei, C. radialis, and Promyalina putiatinensis） and two ammonoid species （Ophiceras sp. and Ussuridiscus sp.） and could be assigned to the Claraia wangi-C, griesbachi assemblage zone, indicating a Middle-Late Griesbachian Age. The bivalves were dominated by Claraia griesbachi and were featured by articulated Claraia fossils. As Claraia was epibyssate, it was an excellent autochthonous fauna. While the shallow and deep marine water became dysoxic to anoxic globally, as indicated by recent studies of the early Early Triassic, we suggest the genus Claraia could tolerate dysoxic and/or anoxic conditions and its proliferation could be attributed to its physiological features which were adapted to the stressed environment. The wide distribution of Claraia was probably related to its planktonic larval stage. Where the larva of Claraia could have been transported by ocean flow and increased its potential for long-distance dispersal. In addition, Claraia was a significant disaster and opportunistic taxon during the Early Triassic based on observations in South China.

关键词： bivalves Claraia disaster species paleoecology Early Triassic.