石油学报 ›› 2005, Vol. 26 ›› Issue (5): 85-89.DOI: 10.7623/syxb200505019

• 油田开发 • 上一篇    下一篇

濮53块流动单元评价

尹太举1, 张昌民1, 王寿平2, 李中超2, 赵红静1   

  1. 1. 长江大学, 湖北, 荆州, 434023;
    2. 中石化中原油田分公司, 河南, 濮阳, 457001
  • 收稿日期:2004-09-10 出版日期:2005-09-25 发布日期:2010-05-21
  • 作者简介:尹太举,男,1971年7月生,2002年获中国地质大学博士学位,现为长江大学地球科学学院讲师,研究方向为开发地质.E-mail:yintaij@sina.com
  • 基金资助:
    中国石油化工集团公司科技攻关项目(P02027);湖北省教育厅重大项目(2000E0105)联合资助

Estimation of flow units in Pu-53 Block

YIN Tai-ju1, ZHANG Chang-min1, WANG Shou-ping2, LI Zhong-chao2, ZHAO Hong-jing 1   

  1. 1. Yangtze University, Jingzhou 434023, China;
    2. Sinopec Zhongyuan Oilfield, Puyang 457001, China
  • Received:2004-09-10 Online:2005-09-25 Published:2010-05-21

摘要: 针对濮53块厚油层特征,采用基准面旋回原理,完成了流动单元的划分和对比。基于岩心物性参数的自然分布特征,结合聚类分析的结果,选择渗透率、孔隙度、渗流系数、储集系数等将储层划分为E、G、F、P 4种类型。用门槛值对储层流动单元的空间分布进行了确定性和随机预测,建立了储层流动单元模型。依据储层流动单元的平面展布特征和相对比例将小层划分为4种类型,二、三类储层具有较多的原始油气储量和潜力,储量动用情况表明,层内和平面非均质性是剩余油形成的主因。

关键词: 濮53块, 流动单元, 聚类分析, 储层建模, 油气储量, 储层评价

Abstract: According to the characters of thick reservoir in Pu-53 Block,the flow units of this reservoir were subdivided into 19 short-term cycles based on the base-level cycle analysis.Based on the distribution of reservoir property factors and the result of clustering analysis,the reservoir was divided into four types including E,G,F and P types by using the reservoir factors including permeability,porosity,percolation factor and reservoir factor.A model for predicting flow units of the reservoir was established with the stochastic modeling technique and other techniques.The space distribution of flow units was randomly predicted with the threshold value.The small layers of the reservoir were classified into four types with different oil and gas reserves.The type II and type III layers have the extraordinary important place in the development of the reservoir.The remaining oil distribution indicates that the internal and areal heterogeneities play the most important role in the generation of remaining oil.

Key words: Pu-53 Block, flow unit, clustering analysis, reservoir modeling, oil and gas reserves, reservoir estimation

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