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The geochemical characteristics and genetic types of crude oils in the western depression of the Liaohe Basin,China

The geochemical characteristics and genetic types of crude oils in the western depression of the Liaohe Basin,China

作     者:MU Guoyan ZHONG Ningning LIU Bao ZHANG Ning XU Guangjie 

作者机构:China University of Petroleum Beijing 102249 China Exploration & Development Institute of Liaohe Petroleum Exploration Bureau Panjine 124000 China Geology Institute of Henan Nanyang Oil-field Nanyang 473132 China 

出 版 物:《Chinese Journal Of Geochemistry》 (中国地球化学学报)

年 卷 期:2009年第28卷第3期

页      面:328-334页

核心收录:

学科分类:081803[工学-地质工程] 08[工学] 0818[工学-地质资源与地质工程] 

主  题:地球化学特征 西部凹陷 辽河盆地 成因类型 原油 中国 油源对比 碳氢化合物 

摘      要:The physical properties and group compositions of crude oils in the western depression of the Liaohe Basin possess such characteristics as to increase gradually in density, viscosity and wax contents, and decrease in saturated hydrocarbon and non-hydrocarbon and bitumen contents from the deep level to the shallow level and from the center of the depression to its boundary. Saturated hydrocarbons have various spectra, such as single peak and double peak patterns, front peak and rear peak patterns, and smooth peak and serated peak patterns, as well as the chromatograms of biodegraded n-alkanes. The ratios of Pr/Ph in crude oils from the southern part of the depression are generally higher than those in the northern part. The distribution of regular steranes C27-C29 is predominantly of the ramp type, and only a few samples have relatively high C28 contents in the southern part of the depression. As viewed from their physical properties and geochemical characteristics, crude oils in the study area can be divided into two types (I and II) based on oil-generating sources and sedimentary environments, and then further divided into three sub-types (Ia, Ib and Ic:IIa, IIb and IIIc, respectively) based on their degrees of maturation and secondary transformation. This will provide the reliable basis for oil-source correlation and petroleum exploration and prediction.

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