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Integrating Geochemical Anomaly and Remote Sensing Methods to Predict Oil- and Gas-Bearing Areas in the Yanchang Oil Field, Ordos Basin, China

文献类型：期刊论文

作者Guo, Jianming1; Fan, Hailong1,2; Wang, Xiangzeng3; Zhang, Lixia3; Ren, Laiyi3; He, Yonghong3; Ma, Fangxia3; Meng, Wangcai3; Bai, Xiaoyin3; Yin, Jintao3
刊名EARTH SCIENCES RESEARCH JOURNAL
出版日期2019-03-01
卷号23期号:1页码:79-86
关键词oil seepage hyperspectral remote sensing geochemistry anomaly hydrocarbon prospecting area
ISSN号1794-6190
DOI10.15446/esrj.v23n1.57544
英文摘要Oil seepage is one of the most important characteristics of hydrocarbon formation, and understanding oil seepage is crucial for oil-gas exploration and the assessment of petroleum resources. Remote sensing and geochemical methods have the same material and theoretical bases for extracting oil and gas information from underlying strata and the identification of media features. As an emerging exploration method, hyperspectral remote sensing is efficient compared with traditional geochemistry because it is a finer, and sometimes more directly quantitative method for determining the specific mineral anomaly content. Hence, the use of both methods together is important. This paper describes the analysis of hyperspectral remote sensing data and the extraction of abnormal index information, including the level of carbonate alteration and the content of acidolytical hydrocarbons, pyrolysis hydrocarbons, headspace gas, and ferric and ferrous ions. The two methods have mutual authentication, and they are complementary and are useful in oil-bearing areas. When these methods are integrated, the acidolytical hydrocarbon index is the most effective geochemical index and is better at characterizing the oil field distribution than other indices. Also, hydrocarbon geochemical anomalies occurring in oil fields generally show continuous distribution points and are consistent with oil reservoirs. Consequently, a 3D model was established to comprehensively utilize hyperspectral remote sensing and geochemical data to determine the distribution of petroleum reservoirs efficiently as well as to delineate oil-and gas-bearing prospects. There is great potential for determining oil-and gas-bearing fields through the integration of hyperspectral and geochemical data.
WOS关键词ALTERATION MINERALS ; LACUSTRINE ; EXPLORATION ; EXTRACTION ; SIMULATION ; EVOLUTION ; DECADES ; TIME
资助项目Important Direction Project of Knowledge Innovation in Resource and Environment Field ; Chinese Academy of Sciences[KZCX2-EW-QN112] ; Key Laboratory of Petroleum Resources, Gansu Province, Institute of Geology and Geophysics, Chinese Academy of Sciences[135CCJJ20160517] ; Key Laboratory of Petroleum Resources, Gansu Province, Institute of Geology and Geophysics, Chinese Academy of Sciences[SZDKFJJ20170604]
WOS研究方向Geology
语种英语
WOS记录号WOS:000467247100008
出版者UNIV NACIONAL DE COLOMBIA
资助机构Important Direction Project of Knowledge Innovation in Resource and Environment Field ; Important Direction Project of Knowledge Innovation in Resource and Environment Field ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Key Laboratory of Petroleum Resources, Gansu Province, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Key Laboratory of Petroleum Resources, Gansu Province, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Important Direction Project of Knowledge Innovation in Resource and Environment Field ; Important Direction Project of Knowledge Innovation in Resource and Environment Field ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Key Laboratory of Petroleum Resources, Gansu Province, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Key Laboratory of Petroleum Resources, Gansu Province, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Important Direction Project of Knowledge Innovation in Resource and Environment Field ; Important Direction Project of Knowledge Innovation in Resource and Environment Field ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Key Laboratory of Petroleum Resources, Gansu Province, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Key Laboratory of Petroleum Resources, Gansu Province, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Important Direction Project of Knowledge Innovation in Resource and Environment Field ; Important Direction Project of Knowledge Innovation in Resource and Environment Field ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Key Laboratory of Petroleum Resources, Gansu Province, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Key Laboratory of Petroleum Resources, Gansu Province, Institute of Geology and Geophysics, Chinese Academy of Sciences
源URL[http://ir.iggcas.ac.cn/handle/132A11/91473]  
专题地质与地球物理研究所_兰州油气中心
通讯作者Guo, Jianming
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Gansu Prov Key Lab Petr Resources Res, Key Lab Petr Resources, Lanzhou 730000, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Yanchang Petr Co Ltd, Xian 710075, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714		 Guo, Jianming,Fan, Hailong,Wang, Xiangzeng,et al. Integrating Geochemical Anomaly and Remote Sensing Methods to Predict Oil- and Gas-Bearing Areas in the Yanchang Oil Field, Ordos Basin, China[J]. EARTH SCIENCES RESEARCH JOURNAL,2019,23(1):79-86.
APA Guo, Jianming.,Fan, Hailong.,Wang, Xiangzeng.,Zhang, Lixia.,Ren, Laiyi.,...&Yin, Jintao.(2019).Integrating Geochemical Anomaly and Remote Sensing Methods to Predict Oil- and Gas-Bearing Areas in the Yanchang Oil Field, Ordos Basin, China.EARTH SCIENCES RESEARCH JOURNAL,23(1),79-86.
MLA Guo, Jianming,et al."Integrating Geochemical Anomaly and Remote Sensing Methods to Predict Oil- and Gas-Bearing Areas in the Yanchang Oil Field, Ordos Basin, China".EARTH SCIENCES RESEARCH JOURNAL 23.1(2019):79-86.

入库方式： OAI收割

来源：地质与地球物理研究所

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