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The distribution and variation in the gas composition of macro-seeps on the near-shore Lingtou Promontory in the South China Sea

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Acta Oceanologica Sinica 2016年第11期35卷 120-125页

作者： DI Pengfei FENG Dong CHEN Duofu Key Laboratory of Marginal Sea Geology South China Sea Institute of Oceanology Chinese Academy of Sciences Shanghai Engineering Research Center of Hadal Science and Technology College of Marine Sciences Shanghai Ocean University

Natural hydrocarbon seeps in a marine environment are one of the important contributors to greenhouse gases in the atmosphere,including methane,which is significant to the global carbon cycling and climate *** hydrocarbon seep areas,the Lingtou Promontory,the Yinggehai Rivulet mouth,the Yazhou Bay and the Nanshan Promontory,occurring in the Yinggehai Basin delineate a near-shore gas bubble *** gas composition and geochemistry of venting bubbles and the spatial distribution of hydrocarbon seeps are surveyed on the near-shore Lingtou *** gas composition of the venting bubbles is mainly composed of CO_2,CH_4,N_2 and O_2,with minor amounts of non-methane *** difference in the bubbles＇ composition is a possible consequence of gas exchange during bubble *** seepage gases from the seafloor are characterized by a high CO_2 content（67.35%） and relatively positive δ^（13）C_（V_PDB） values（-0.49×10^（-3）-0.86×10^（-3））,indicating that the CO_2 is of inorganic *** relatively low CH_4 content（23%） and their negative δ^（13）C_（V-PDB） values（-34.43×10^（-3）--37.53×10^（-3）） and high ratios of C_1 content to C_（1-5） one（0.98-0.99）as well point to thermogenic *** hydrocarbon seeps on the 3.5 Hz sub-bottom profile display a linear arrangement and are sub-parallel to the No.1 fault,suggesting that the hydrocarbon seeps may be associated with fracture activity or weak zones and that the seepage gases migrate laterally from the central depression of the Yinggehai Basin.

关键词： hydrocarbon seeps gas composition distribution nearshore Yinggehai northern South China Sea

Study of RPC gas composition using Daya Bay RPCs

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Chinese Physics C 2010年第8期34卷 1116-1121页

作者：马烈华王贻芳张家文 Logan Lebanowski Viktor Pě 陈进谢宇广韩纪峰张清民钱森宁哲 Institute of High Energy Physics Chinese Academy of Sciences Graduate University of Chinese Academy of Sciences Department of Physics University of Houston Charles University Faculty of Mathematics and Physics

This study uses Daya Bay RPCs operating in streamer mode to investigate gas mixtures of at least 50% argon, at most 6% isobutane, and with small amounts of SF6. Isobutane is reduced to 2% without degradation of performance, and SF6 reduces the noise rate and current, as well as the signal size. This study provides quantitative relationships between basic RPC operating parameters and various gas compositions.

关键词： RPC gas composition streamer isobutane Daya Bay SF6

Influence of Pore Size,Salinity and gas composition upon the Hydrate Formation Conditions

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Chinese Journal of Chemical Engineering 2010年第2期18卷 292-296页

作者：杨明军宋永臣刘瑜陈拥军李清平 Key Laboratory of Ocean-Energy Utilizaiion and Energy Conservation of Ministry of Education Dalian University of Technology Dalian 116024 China China National Offshore Oil Corporation Research Center Beijing 100027 China

An experimental device was set up to study the hydrate formation *** of pore size,salinity,and gas composition on the formation and dissociation of hydrates were *** result indicates that the induction time for the formation of hydrates in porous media is shorter than that in pure *** decrease in pore size,by decreasing the size of glass beads,increases the equilibrium pressure when the salinity and temperature are kept *** addition,higher salinity causes higher equilibrium pressure when the pore size and temperature are kept *** is found that the effects of pore size and salinity on the hydrate equilibrium are quite *** lower methane concentration,the hydrate equilibrium is achieved at lower pressure and higher temperature.

关键词： hydrate equilibrium pore size salinity gas composition

△P index with different gas compositions for instantaneous outburst prediction in coal mines

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Mining Science and Technology 2010年第5期20卷 723-726页

作者： WU Dongmei ZHAO Yuemin CHENG Yuanping AN Fenghua National Engineering Research Center of Coal gas Control China University of Mining ＆ Technology Xuzhou 221008 China Key Laboratory of gas and Fire Control for Coal Mines China University of Mining ＆ Technology Xuzhou 221008 China School of Chemical Engineering and Technology China University of Mining ＆ Technology Xuzhou 221116 China

In this study we measured the △P(initial speed of gas emission) index with different gas concentrations of carbon dioxide(pure CO2,90% CO2+10% CH4,67% CO2+33% CH4,50% CO2+50% CH4,30% CO2+10% CH4 and pure CH4) of coal samples from the No.2 coal seam in the Yaojie Coal Mine,Gansu province,*** effect of carbon dioxide concentration,gas composition,coal strength and particle size of coal samples on the △P index was *** experimental results show that with gas of various compositions,the △P value of three samples were clearly *** △P index of coal samples A,B and C(0.2～0.25 mm) were 4,6 and 7 with pure CH4 and 22,30 and 21 when pure CH4 was *** dioxide concentration affects the △P index *** △P index increases with an increase in carbon dioxide concentration,especially for coal ***,the △P index and K(another outburst index) values tested only with pure CH4 for prediction of the danger of outburst is not *** is important to determine the initial speed of gas emission given the gas composition of the coal seam to be tested for exact outburst prediction.

关键词： prediction △P index outbursts coal mining gas composition carbon dioxide

Destruction of hexafluoroethane in a dielectric-packed bed plasma reactor

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2010年第7期11卷 538-544页

作者： D. H. KIM Y. S. MOK S. B. LEE S. M. SHIN Department of Chemical & Biological Engineering Research Institute of Advanced Technology Jeju National University Environmental Business Unit Samsung Engineering Co. Ltd. Hwasung Gyeonggido Korea

The destruction of hexafluoroethane (C2F6), also known as R-116, was investigated in a nonthermal plasma reactor packed with dielectric pellets. The effects of the feed gas composition and the input power on the destruction of C2F6 were examined. The feed gas composition was varied by changing the oxygen content, the argon content and the initial C2F6 concentration. An increased input power led to increased C2F6 destruction as a result of promoting the electron-molecule collisions to dissociate C2F6 molecules. The addition of argon to the feed gas greatly improved the C2F6 destruction by reducing the energy losses due to vibrational excitation and dissociation of N2 molecules, while the increases in the oxygen content and the initial C2F6 concentration decreased the destruction efficiency. The byproducts including CO2, CO, COF2, CF4, SiF4, NO2, and N2O were identified, and the destruction mechanisms were elucidated, referring to these compounds. The most abundant byproduct was found to be carbonyl fluoride (COF2), indicating that it serves as an important medium to convert C2F6 into CO2. The energy requirement for the C2F6 destruction was in the range of 8.2–45.3 MJ/g, depending on the initial concentration.

关键词： Hexafluoroethane (C2F6) Nonthermal plasma gas composition Destruction mechanisms

Analysis of vacuum chamber suppressing gas explosion

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International Journal of Mining Science and Technology 2013年第5期23卷 653-657页

作者： Shao Hao Jiang Shuguang Li Qinhua Wu Zhengyan School of Safety Engineering China University of Mining & Technology State Key Laboratory Cultivation Base for gas Geology and gas Control of Henan Polytechnic University

In order to suppress the harm of gas explosion,the current study researched on the body of vacuum *** previous studies verifed that it could obviously lower the explosion overpressure by reasonably arranging vacuum chamber on *** is to say,the vacuum chamber has the effect of absorbing wave and *** further deeply analyze the vacuum chamber suppressing gas explosion,this research designed the L-type pipe of gas explosion,and compared the experimental results of gas explosion with vacuum chamber and without vacuum ***,using the gas chromatograph,this study also investigated the gas compositions in the pipe before and after *** results show that:(1)without vacuum chamber,the maximum value of explosion overpressure is 0.22 MPa,with60 ms duration,and after explosion,the concentration of oxygen drops to 12.07%,but the concentration of carbon monoxide increases to 4392.3 10à6,and the concentration of carbon dioxide goes up to7.848%,which can make the persons in danger suffocate and die;(2)with vacuum chamber,explosion overpressure drops to 0.18 MPa,with 20 ms duration or less,and after explosion,the concentration of oxygen still remains 12.07%,but the concentration of methane is 7.83%,however the concentration of carbon monoxide is only 727.24 10à6,and the concentration of carbon dioxide is only 1.219%,at the this moment the concentration ratio of toxic gas drops by more than 83%in comparison to be that without vacuum ***,the vacuum chamber can guarantee that most methane does not take part in chemical reaction,and timely quenches the deflagration reaction of gas and *** of the two points mentioned above,it reduces the explosion energy,and lowers that the overpressure of blast wave impacts and damages on the persons and facilities,and also decreases the consumption of oxygen and the production of the toxic ***,it is safe to conclude that the vacuum chamber not only absorbs wave and energy,but a

关键词： Vacuum chamber gas explosion Chromatograph analysis gas composition

gasification of Organic Waste:Parameters,Mechanism and Prediction with the Machine Learning Approach

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Journal of Renewable Materials 2023年第6期11卷 2771-2786页

作者： Feng Gao Liang Bao Qin Wang Yibin Research Institute Southwest Jiaotong UniversityYibinChina Office of Domestic Cooperation and Educational Training Management Southwest Jiaotong UniversityChengduChina School of Computer Science and Technology Xidian UniversityXi’anChina Faculty of Geosciences and Environmental Engineering Southwest Jiaotong UniversityChengduChina

gasification of organic waste represents one of the most effective valorization pathways for renewable energy and resources recovery,while this process can be affected by multi-factors like temperature,feedstock,and steam content,making the product’s prediction *** the popularization and promotion of artificial intelligence such as machine learning(ML),traditional artificial neural networks have been paid more attention by researchers from the data science field,which provides scientific and engineering communities with flexible and rapid prediction frameworks in the field of organic waste *** this work,critical parameters including temperature,steam ratio,and feedstock during gasification of organic waste were reviewed in three scenarios including steam gasification,air gasification,and oxygen-riched gasification,and the product distribution and involved mechanism were ***,we presented the details of ML methods like regression analysis,artificial neural networks,decision trees,and related methods,which are expected to revolutionize data analysis and modeling of the gasification of organic *** outputs including the syngas yield,composition,and HHVs were discussed with a better understanding of the gasification process and ML *** review focused on the combination of gasification and ML,and it is of immediate significance for the resource and energy utilization of organic waste.

关键词： gasification organic waste machine learning gas composition

Sources of ore-forming fluids and metallic materials in the Jinwozi lode gold deposit,eastern Tianshan Mountains of China

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Sources of ore-forming fluids and metallic materials in the ...