| 长春油田C区块双二段扇三角洲体系沉积微相类型与测井识别 |
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| 引用本文： | 徐梦瑶,程日辉,蒋飞.长春油田C区块双二段扇三角洲体系沉积微相类型与测井识别[J].世界地质,2017,36(1):155-165. |
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| 作者姓名： | 徐梦瑶 程日辉 蒋飞 |
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| 作者单位： | 吉林大学 地球科学学院, 长春 130061 |
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| 摘 要： | 以精细小层划分对比为基础,根据取芯井/段岩芯,识别主要岩石类型和沉积微相类型,建立测井微相识别模式,并应用于非取芯井/段,分析单层的沉积体系与沉积微相展布。伊通盆地鹿乡断陷C区块双二段岩石类型包括砾岩、砂岩、粉砂岩和泥岩4类。识别出扇三角洲前缘及扇三角洲平原2种亚相,细分为14种沉积微相,并建立了各种微相的测井相模式。对本区37口井进行沉积微相识别。C区块Ⅳ4单层沉积微相类型与沉积体系分析结果显示该层为东部近物源沉积,河道由东向西延伸,且河道常发生叠置或改道。
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| 关 键 词： | 扇三角洲 粒度分析 测井微相模式 测井相识别 沉积体系 |
| 收稿时间： | 2016-04-28 |
| 修稿时间： | 2016-11-30 |
Microfacies type and its logging identification of fan-delta system in the second member of Shuangyang Formation in Area-C of Changchun Oilfield |
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| XU Meng-yao,CHENG Ri-hui,JIANG Fei.Microfacies type and its logging identification of fan-delta system in the second member of Shuangyang Formation in Area-C of Changchun Oilfield[J].World Geology,2017,36(1):155-165. |
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| Authors: | XU Meng-yao CHENG Ri-hui JIANG Fei |
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| Institution: | College of Earth Sciences, Jilin University, Changchun 130061, China |
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| Abstract: | On the basis of delicate stratigraphic correlation and detailed core analysis on the cored wells, this study have identified the main types of lithology and microfacies, established the identification template of logging microfacies, which were subsequently applied to other non-cored wells, and to the analysis of depositional system and microfacies distribution in a single layer. Member 2 of Shuangyang Formation in Area-C, Luxiang fault depression, Yitong Basin, is mainly composed of conglomerate, sandstone, siltstone, and mudstone. Two subfacies of fan-delta front and fan-delta plain, and 14 types of microfacies were recognized, with correspondent identification template of logging-microfacies established. The logging template was applied to 37 wells in the study area to identify micrfacies. Analysis of the microfacies and depositional system distribution of Layer Ⅳ in Area-C show that it was deposited close to the provenance in the east, with channel extended from east to west. The channel sands showed stacking and diversion features. |
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| Keywords: | fan-delta grain size analysis logging microfacies model logging microfacies identification depositional system |
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