中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Static decontamination of oil-based drill cuttings with pressurized hot water using response surface methodology

文献类型:期刊论文

作者Chen, Zhong1,2; Li, Dongyuan3; Tong, Kun1; Chen, Zeliang2; Chen, Hongzhen2; Chen, Qiao2; Xu, Yuanjian2,4
刊名ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
出版日期2019-03-01
卷号26期号:7页码:7216-7227
关键词Petroleum contamination Hazardous solid waste Oily sludge Waste drill fluids Shale gas
ISSN号0944-1344
DOI10.1007/s11356-018-04102-0
通讯作者Xu, Yuanjian(xuyuanjian@cigit.ac.cn)
英文摘要Separating organic pollutants from oil-based drill cuttings (OBDC) is the current trend for its safe disposal. In this study, pressurized hot water extraction (PHWE) was adapted to decontaminate OBDC for the first time. Two typical OBDC samples, i.e., diesel-based drill cuttings (OBDC-A) and white oil-based drill cuttings (OBDC-B), were statically extracted in a homemade batch autoclave. Response surface methodology (RSM) with a central composite design (CCD) was applied to investigate the effects and interactive effects of three independent operating parameters (temperature, extraction time, and water volume) and to ultimately optimize the PHWE process. The results suggested that temperature is the dominant parameter, followed by water volume and extraction time. Interactive effects among the three parameters are present in the PHWE of OBDC-A but absent in the PHWE of OBDC-B. The suitable conditions for the effective PHWE of OBDC-A were found to be a temperature of 284-300 degrees C, water volume of 15-35ml, and extraction time of 20-60min. The corresponding conditions were 237-300 degrees C, 15-35ml, and 20-60min for the PHWE of OBDC-B. These different phenomena are caused by the different characteristics of the two OBDC samples. All of the polynomial models obtained from the RSM experiments are very valid and can adequately describe the relationship among the three independent operating parameters and responses. The experimental results also confirmed that PHWE is a more efficient separation technique for decontaminating OBDC than single organic solvent extraction or low-temperature thermal desorption because PHWE integrates the advantages of both these processes.
资助项目Open Project Program of the State Key Laboratory of Petroleum Pollution Control[PPC2016001] ; CNPC Research Institute of Safety and Environmental Technology ; West Young Scholar Project of the Chinese Academy of Sciences ; Chongqing Basic and Frontier Research Projects[CSTC2015JCYJBX0120] ; Chongqing City Social Undertakings and Livelihood Protection Science and Technology Innovation Special Project[CSTC2017SHMSA120001] ; Chongqing Land Bureau Science and Technology Planning Project[CQGT-KJ-2017026] ; Chongqing Land Bureau Science and Technology Planning Project[CQGT-KJ-2014037]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000462457500083
出版者SPRINGER HEIDELBERG
源URL[http://119.78.100.138/handle/2HOD01W0/7646]  
专题环境友好化学过程研究中心
通讯作者Xu, Yuanjian
作者单位1.State Key Lab Petr Pollut Control, Beijing 102206, Peoples R China
2.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Key Lab Reservoir Aquat Environm, Chongqing 400714, Peoples R China
3.Southwest Petr Univ, Sch Petr Engn, Chengdu 610500, Sichuan, Peoples R China
4.Chinese Acad Sci, CIGIT, Environmentally Benign Chem Proc Res Ctr, 266 Fangzheng Ave, Chongqing 400714, Peoples R China
推荐引用方式
GB/T 7714
Chen, Zhong,Li, Dongyuan,Tong, Kun,et al. Static decontamination of oil-based drill cuttings with pressurized hot water using response surface methodology[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2019,26(7):7216-7227.
APA Chen, Zhong.,Li, Dongyuan.,Tong, Kun.,Chen, Zeliang.,Chen, Hongzhen.,...&Xu, Yuanjian.(2019).Static decontamination of oil-based drill cuttings with pressurized hot water using response surface methodology.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,26(7),7216-7227.
MLA Chen, Zhong,et al."Static decontamination of oil-based drill cuttings with pressurized hot water using response surface methodology".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 26.7(2019):7216-7227.

入库方式: OAI收割

来源:重庆绿色智能技术研究院

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