石油学报 ›› 2010, Vol. 31 ›› Issue (2): 218-224.DOI: 10.7623/syxb201002007

• 地质勘探 • 上一篇    下一篇

湖相泥质烃源岩的定量评价方法及其应用

母国妍 1 钟宁宁 1 刘 宝 2 于天财 2 刘 岩 1   

  1. 1中国石油大学油气资源与探测国家重点实验室 北京 102249; 2 中国石油辽河油田勘探开发研究院 辽宁盘锦 124010
  • 收稿日期:2009-03-17 修回日期:2009-07-30 出版日期:2010-03-25 发布日期:2013-10-31
  • 通讯作者: 母国妍

The quantitative evaluation method of lacustrine mudstone source rock and its application

MU Guoyan 1 ZHONG Ningning 1 LIU Bao 2 YU Tiancai 2 LIU Yan 1   

  • Received:2009-03-17 Revised:2009-07-30 Online:2010-03-25 Published:2013-10-31
  • Contact: MU Guoyan

摘要:

对地层层序、地震相、沉积相、地化分析实验数据以及热演化程度进行了研究,提出了一种定量评价泥质烃源岩的有效方法。在层序地层格架下,以重构声波时差曲线为约束,反演出各沉积相带下的烃源岩分布;采用盆地模拟技术,外推出无实测镜质体反射率(Ro)值井区的Ro数据,经由中子、深侧向电阻率和密度测井曲线获得的成熟度指数的校正后,得出各井的Ro数据,再通过克里金插值生成Ro数据体。烃源岩分布与Ro数据体二者结合即可预测出优质烃源岩的分布。该方法的优点主要表现在将储层预测的随机相控反演运用到有利烃源岩分布的预测中,并将Ro数据由点上升到体,实现了湖相泥质烃源岩的静态定量评价。利用该方法对辽河坳陷西部凹陷清水洼陷的泥质烃源岩进行了评价,取得了较好效果。

关键词: 泥质烃源岩, 定量评价, 层序地层, 相控反演, 盆地模拟技术, 清水洼陷, 辽河坳陷

Abstract:

An efficient approach was provided to quantitatively evaluate mudstone source rock based on the studies of sequence stratigraphy,seismic facies,sedimentary facies,microphotography and geochemistry experimental data.Firstly,the distribution of potential source rock was forecasted using phase-controlling inversion restricted by reconstruct acoustic curve(AC),which reflected the abundance of total organic carbon(TOC),in different sedimentary facies of the sequence stratigraphic framework respectively.Combining with digital volume of the thermal evolution index generated from the geochemical experiment data and basin modeling simulation through Kriging interpolation, the distribution of high quality source rock was estimated. Accordingly,this innovative protocol was applied in Qingshui Sub-sag of Western Sag,Liaohe Depression,which can greatly increase the predication precise and has been forming the basis to the further exploration of this area.

Key words: mudstone source rock, quantitative evaluation, sequence strata, phase-controlling inversion, basin modeling, Qingshui Sub-sag, Liaohe Depression