| 新疆春风油田石炭系火山岩岩性特征及测井识别方法 |
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| 引用本文： | 黄习习,金强,明玉坤,王伟,程付启.新疆春风油田石炭系火山岩岩性特征及测井识别方法[J].沉积与特提斯地质,2016,36(4):37-43. |
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| 作者姓名： | 黄习习 金强 明玉坤 王伟 程付启 |
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| 作者单位： | 1. 中国石油大学 (华东) 地球科学与技术学院, 山东 青岛 266580;2. 中石化胜利油田物探研究院, 山东 东营 257000 |
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| 摘 要： | 不同岩性的火山岩其储集性能差异甚远,准确识别火山岩岩性对于火山岩储层的研究具有重要意义。研究区春风油田石炭系储层以火山岩为主,过渡类型较多,岩性较为复杂。利用岩心观察、薄片鉴定、地化分析等方法确定研究区发育火山熔岩类和火山碎屑岩类两类火山岩,其中,火山熔岩包括玄武岩、安山玄武岩、玄武安山岩以及安山岩,火山碎屑岩有凝灰岩和火山角砾岩等。通过识别出的岩性标定测井,分析每种岩性的测井响应特征,利用交会图法和星形图法,建立了不同岩性的识别标准。
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| 关 键 词： | 春风油田 石炭系火山岩 岩性特征 测井识别 |
| 收稿时间： | 2016/2/28 0:00:00 |
| 修稿时间： | 2016/3/26 0:00:00 |
Lithology and logging identification of the Carboniferous volcanic rocks in the Chunfeng Oil Field, Xinjiang |
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| HUANG Xi-xi,JIN Qiang,MING Yu-kun,WANG Wei,CHENG Fu-qi.Lithology and logging identification of the Carboniferous volcanic rocks in the Chunfeng Oil Field, Xinjiang[J].Sedimentary Geology and Tethyan Geology,2016,36(4):37-43. |
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| Authors: | HUANG Xi-xi JIN Qiang MING Yu-kun WANG Wei CHENG Fu-qi |
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| Institution: | 1. School of Geosciences, China University of Petroleum, Qingdao 266580, Shandong, China;2. Shengli Geophysical Research Institute, SINOPEC, Dongying 257000, Shandong, China |
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| Abstract: | The volcanic rocks with different lithological characteristics are quite different in reservoir quality. The identification of volcanic rock types is thus critical for the study of volcanic reservoirs. The Carboniferous volcanic rocks in the Chunfeng Oil Field, Xinjiang vary in rock types and transitional types, and may be classified, with the aid of core observation, thin section examination and geochemical data, into two types:volcanic lavas and volcaniclastic rocks. The former consist of basalt, andesitic basalt, basaltic andesite and andesite, whereas the latter contain tuff and volcanic breccias. The cross plots and star charts are developed in the present paper to study the logging responses of volcanic rocks and the identification of volcanic rock types according to identified lithological calibration and well logs. |
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| Keywords: | Chunfeng Oil Field Carboniferous volcanic rock lithology logging identification |
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