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Distribution Characteristics of Effective Source Rocks and Their Control on Hydrocarbon Accumulation: A Case Study from the Dongying Sag, Eastern China 被引量:32
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作者 ZHUGuangyou jinqiang +3 位作者 ZHANGShuichang DAIJinxing ZHANGLinye LIJian 《Acta Geologica Sinica(English Edition)》 SCIE CAS CSCD 2004年第6期1275-1288,共14页
The exploration conducted in the Bohai Bay basin, eastern China has demonstrated that the abundant petroleum resources have close affinities to the hydrocarbon kitchen with rich organic matter. A number of oil-generat... The exploration conducted in the Bohai Bay basin, eastern China has demonstrated that the abundant petroleum resources have close affinities to the hydrocarbon kitchen with rich organic matter. A number of oil-generating associations with various characteristics of organic geochemistry and assemblages of multiple reservoir facies are developed due to the multi-center sedimentation, multi-source supply and multi-cycle evolution of filling, which have resulted in the formation of multiple oil and gas accumulation zones of various layers and trap styles. Among them the Paleogene Shahejie Formation is the most important hydrocarbon accumulation combination in the Dongying sag. Heretofore, its proved reserve has reached nearly 1.8×109t, which accounts for more than 90% of the total proved reserves of the Dongying sag. Based on previous studies, more than 600 source rock samples and 186 crude oil samples of the Shahejie Formation, collected from 30 oilfields, have been treated with organic geochemical testing. By combining the sedimentary sequence characteristics and geochemical analysis results, the source rocks of the Shahejie Formation can be divided into three genetic types, i.e. the saline lake facies (the upper ES4, brackish water deep lake facies (the lower ES3) and fresh-water lake facies (the middle ES3), which correspond to the under-filling, balanced-filling and over-filling lake types respectively and represent the three most essential genetic models for source rocks of non-marine fault basins in China. Based on a thorough oil-source correlation, the source rocks of the saline lake and brackish deep lake facies are determined to be the most contributive source rocks in the Dongying sag. Furthermore, by probing into the accumulation of organic matter and hydrocarbon migration pattern, it can be inferred that the hydrocarbons, generated from source rocks of the saline lake facies with relatively low maturity, have mainly accumulated in the uplifted parts of the basin's margin via lateral migration and the reservoirs are dominated by the buried hill and stratigraphic types, while hydrocarbons generated from source rocks of the brackish lake facies are mainly distributed in the basin's center via vertical migration and characterized by forming lithologic reservoirs. Also, the reservoirs located in the transitional belts have complex types and mostly controlled by faults, characterized by block (structural-lithologic) reservoirs, and the crude oils mainly come from source beds of Es31 and Es42 respectively. 展开更多
关键词 source rocks association characteristics fluctuation lacustrine facies sedimentation heterogeneity Dongyingsag
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长江经济带生态创新协同度及其影响因素分析 被引量:8
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作者 靳强 郑庆昌 《科技管理研究》 CSSCI 北大核心 2018年第18期261-266,共6页
基于复合系统协同度模型测度2006—2015年长江经济带生态创新协同度。结果表明,2006—2015年生态环境有序度经历了上升—下降—上升的历程,而科技创新则保持持续上升趋势; 2007—2015年长江经济带生态创新协同度呈波动上升态势,2015年... 基于复合系统协同度模型测度2006—2015年长江经济带生态创新协同度。结果表明,2006—2015年生态环境有序度经历了上升—下降—上升的历程,而科技创新则保持持续上升趋势; 2007—2015年长江经济带生态创新协同度呈波动上升态势,2015年已达良好协同水平,2009年后生态环境有序度开始低于科技创新有序度,是制约生态创新协同度进一步提高的关键子系统。采用加权灰色关联模型计算显示,湿地面积占辖区面积比重、高技术产业投资额、技术市场成交额、高技术产业主营业务收入等是推动长江经济带生态创新协同水平提高的关键因素。 展开更多
关键词 长江经济带 生态创新 协同度模型 灰色关联模型
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