| 摘要: |
| 本文根据测、录井及三维地震资料,建立了塔河地区高精度层序地层格架,并重点对发育于TSQ3低位体系域中的下油组砂体类型及分布进行了系统研究。根据岩心观察结合粒度分析等手段,认为研究区下油组沉积砂体主要为辫状河三角洲前缘水下分流河道砂体,进一步划分为主分流河道复合微相、侧支分流河道复合微相和河道间微相3种类型。砂岩厚度、含砂率分布特征表明,砂体以东西向展布为特征,中部厚度最大,向南北砂岩厚度减小。依据研究区南高北低的区域构造背景,结合下油组沉积微相图与顶面构造图叠合表明,认为研究区南部AT4-S98井区以南为有利的岩性上倾尖灭区带。 |
| 关键词: 塔河地区 下油组 沉积微相 砂体分布 有利区带预测 |
| DOI： |
| 附件 |
| 投稿时间：2010-03-21修订日期：2010-09-24 |
| 基金项目:国家“十一五”重大科技攻关项目(2008ZX05002)及中国石化西北石油局攻关项目(KT2007-046)联合资助) |
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| Sandstone distribution and prediction of the favourable zones in the Triassic lower oil measures in the Jiulianpian region along the Tarim River, Xinjiang |
| LU Jin-bo, WANG Ying-min, ZHANG Lei, WANG Gai-yun |
(1. School of Resources and Information, China University of Petroleum, Beijing 102249, China;
2. State Key Laboratory of Petroleum Resources and Exploration, China University of Petroleum, Beijing 102249, China;
3. Petro China Coalbed Methane Co. Ltd., Beijing 100028, China) |
| Abstract: |
| The high-resolution sequence stratigraphic framework is constructed on the basis of well logs and 3D seismic data, with the emphasis on the types and distribution of the sandstones from the Triassic lower oil measures within the lowstand systems tract of TSQ3 in the Jiulianpian region along the Tarim River, Xinjiang. The sedimentary sandstones from the Triassic lower oil measures dominantly consist of braided delta front subaqueous distributary channel sandstones, which may be subdivided into three types:main distributary channel composite microfacies, secondary distributary channel composite microfacies and interdistributary channel microfacies. The examination of sandstone thickness and sand contents show that the sandstones display an EW-trending distribution, with larger thickness in the central part and smaller thickness northwards and southwards. The areas south of AT4-S98 zone in the southern part of the study area are believed to be the favourable zones in the Triassic lower oil measures in the study area. |
| Key words: Tarim River area lower oil measures sedimentary microfacies sandstone distribution prediction of the favourable zones |
