石油学报 ›› 2012, Vol. 33 ›› Issue (6): 1012-1017.DOI: 10.7623/syxb201206012

• 地质勘探 • 上一篇    下一篇

高邮凹陷成岩相约束下的低渗透储层物性参数测井解释模型

丁 圣 1  钟思瑛 1  周方喜 2  高国强 1  刘 健 1   

  1. 1.中国石化江苏油田公司地质科学研究院 江苏扬州 225009; 2.中国石化江苏石油勘探局 江苏扬州 225009
  • 收稿日期:2012-05-21 修回日期:2012-08-26 出版日期:2012-11-25 发布日期:2012-12-07
  • 通讯作者: 丁圣
  • 作者简介:丁圣,男,1978年7月生,2010年获中国石油大学(华东)地质资源与地质工程专业工学博士学位,现为中国石化江苏油田公司地质科学研究院博士后研究人员,主要从事油气藏开发地质研究。
  • 基金资助:

    江苏省自然科学基金项目“复杂断块油藏细分层开发提高采收率潜力研究”(BK2008582)资助。

A logging interpretation model of physical property parameters confined by diagenetic facies of low-permeability reservoirs in Gaoyou sag

DING Sheng 1  ZHONG Siying 1  ZHOU Fangxi 2  GAO Guoqiang 1  LIU Jian 1   

  • Received:2012-05-21 Revised:2012-08-26 Online:2012-11-25 Published:2012-12-07

摘要:

在低渗透储层中如何根据现有精度的测井资料更加准确地确定储层物性参数,非常重要也十分困难。为进一步提高低渗透储层物性参数的测井解释精度,以高邮凹陷南断阶阜宁组阜一段低渗透储层为例,分析储层物性控制因素,确定了研究区储层物性主要受成岩相控制,根据铸体薄片、扫描电镜等资料厘定成岩相,分析不同类型成岩相的测井曲线特征,建立定量识别标准,在此基础上,利用岩心和测井曲线建立了不同成岩相的物性参数解释模型,并用取心井进行了误差分析。结果表明,储层物性参数解释精度显著提高,这种针对低渗透储层特点,建立成岩相约束下的测井物性参数解释模型的方法是有效的。

关键词: 低渗透储层, 成岩相, 物性参数, 测井解释, 误差分析

Abstract:

It is very important and difficult to more accurately determine physical property parameters of low-permeability reservoirs on conditions of the existing accuracy of logging data. For the sake of improving the logging interpretation accuracy of physical property parameters of low-permeability reservoirs and providing high-accuracy parameters for numerical simulation and reservoir evaluation, we took low-permeability reservoirs of Member Fu-1 of Funing Formation in the south fault terrace of Gaoyou sag as an example, examined controlling factors of reservoir physical properties and identified digenetic fancies that significantly affect physical property parameters of reservoirs in the study area. Diagenetic facies were determined by means of casting thin sections, scanning electron microscope and other information, and then according to these determined diagenetic facies, characteristics of logging curves of various diagenetic facies were investigated so as to establish a quantitative identification criterion, which offers the precondition for interpreting reservoir physical property parameters by digenetic facies. Various interpretation models of physical property parameters for different digenetic facies were set up by means of cores and logging curves, and the error analysis was carried out by examining cored wells. The results showed that the interpretation accuracy of reservoir physical property parameters is improved greatly and the approach to establishing an interpretation model of physical property parameters confined by diagenetic facies is effective.

Key words: low-permeability reservoir, diagenetic facies, physical property parameter, logging interpretation, error analysis