油藏工程

基于改进毛管压力曲线的非均质储层分级评价与应用

  • 李新文 ,
  • 吴华
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  • 1.中国石化江汉油田分公司,湖北 潜江 433124;
    2.中国石化江汉油田分公司,湖北 武汉 430223
李新文(1969—),男,高级工程师,1991年毕业于石油大学(华东)地质学专业,2003年毕业于长江大学石油与天然气工程专业,获硕士学位,现主要从事油藏经营管理工作。

收稿日期: 2021-04-22

  修回日期: 2022-01-10

  网络出版日期: 2023-01-10

基金资助

教育部重点实验室开放基金“应力敏感和边界层耦合效应下页岩油储层非线性渗流机理”(TPR-2019-06)

Classification Evaluation and Application of Heterogeneous Reservoirs Based on Improved Capillary Pressure Curve

  • Li Xinwen ,
  • Wu Hua
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  • 1. Sinopec Jianghan Oilfield Company, Qianjiang, Hubei 433124, China;
    2. Sinopec Jianghan Oilfield Company, Wuhan, Hubei 430223, China

Received date: 2021-04-22

  Revised date: 2022-01-10

  Online published: 2023-01-10

摘要

针对强非均质性储层精细开发的难题,以江汉盆地潜江组油藏为研究对象,采用改进毛管压力曲线特征参数与岩心基础参数相结合的方法,建立了储层量化指标分级评价体系,并将油层有效厚度与测井曲线有机结合,建立了毛管压力曲线簇归一化新方法。结果表明:基于改进毛管压力曲线的储层量化指标分级评价体系主要包含渗透率、起点压力、转折压力、中值压力和分类储层占比5种量化指标;潜江组油藏细分为Ⅰ、Ⅱ、Ⅲ、Ⅳ、Ⅴ、Ⅵ共6类储层,Ⅰ、Ⅱ类储层为渗流能力最优储集层,占整个潜江组油藏41.17%,Ⅲ、Ⅳ类储层主要为中低渗储层,占比超过50.00%,Ⅴ、Ⅵ类储层属于特(超)低渗储层,占比仅为7.77%。基于有效厚度的毛管压力曲线簇归一化方法计算简单,相对误差较小,可为储层分类评价后储层特征参数表征及对比提供途径。

本文引用格式

李新文 , 吴华 . 基于改进毛管压力曲线的非均质储层分级评价与应用[J]. 特种油气藏, 2022 , 29(2) : 128 -134 . DOI: 10.3969/j.issn.1006-6535.2022.02.019

Abstract

In view of the strong heterogeneity of the fine reservoir development, taking reservoirs in Qianjiang Formation, Jianghan Basin as the study object, a classification evaluation system of reservoir quantitative indicators was established in combination with the characteristic parameters of improved capillary pressure curve and the basic core parameters, and the effective reservoir thickness was organically combined with logging curve to develop a new method of normalization of capillary pressure curve family. The results showed that the classification evaluation system of reservoir quantitative indicators based on the improved capillary pressure curve mainly included five quantitative indicators: permeability, starting pressure, transitional pressure, median pressure and proportion; the reservoirs in Qianjiang Formation were subdivided into Ⅰ, Ⅱ, Ⅲ, Ⅳ, Ⅴ and Ⅵ types; Types Ⅰ and Ⅱ were the reservoirs with the best permeability, accounting for 41.17% of the all reservoirs, Types Ⅲ and Ⅳ were mainly the reservoirs with medium and low permeability, accounting for more than 50.00%, Types V and VI were the reservoirs with extra (super) low permeability, accounting for only 7.77%; the normalization method of capillary pressure curve family based on effective thickness was simple in calculation and low in errors, providing a basis for the characterization and comparison of reservoir characteristic parameters after reservoir classification and evaluation.

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