中国石油勘探 ›› 2017, Vol. 22 ›› Issue (3): 56-62.DOI: 10.3969/j.issn.1672-7703.2017.03.007

• 石油地质 • 上一篇    下一篇

灰质背景下基于敏感曲线的储层预测方法——以孤北洼陷沙三中亚段为例

乌洪翠   

  1. 中国石化胜利油田分公司勘探开发研究院
  • 收稿日期:2015-11-17 修回日期:2017-03-16 出版日期:2017-05-10 发布日期:2017-05-15

A reservoir prediction method based on sensitivity curve in the background of lime mudstone: a case study on middle Es3 in Gubei subsag

Wu Hongcui   

  1. Exploration and Development Research Institute, Sinopec Shengli Oilfield Company
  • Received:2015-11-17 Revised:2017-03-16 Online:2017-05-10 Published:2017-05-15

摘要: 针对灰质泥岩影响储层预测的问题,以孤北洼陷沙三中亚段为例,提出一种有效剔除灰质泥岩影响的储层预测方法。首先,通过对比常规测井曲线,认为声波时差、密度、自然伽马、自然电位以及波阻抗曲线对区分灰质泥岩和砂岩均不敏感;其次,结合岩石物理学特征及测井数据分析,表明泥质含量曲线对灰质泥岩和砂岩区分效果明显,可以作为区分二者的敏感曲线;最终,提出基于优选的敏感曲线,通过建立的等时地层格架,利用地质统计学反演技术提高储层预测的精度。预测结果表明,该方法能够有效剔除灰质泥岩的影响,准确刻画扇体形态,且与实钻结果具有较高的吻合度,达到了勘探部署的要求。

关键词: 灰质泥岩, 储层预测, 敏感曲线, 孤北洼陷, 泥质含量

Abstract: In this paper, the middle section of the third member of Shahejie Formation (middle Es3) in the Gubei subsag was taken as an example to investigate the effects of lime mudstone on reservoir prediction. A reservoir prediction method which can eliminate such effects was proposed. Firstly, comparisons on conventional logs indicate that acoustic (AC), density (DEN), gamma-ray (GR), spontaneous potential (SP) and wave impedance (WI) logs are not sensitive in distinguishing lime mudstone from sandstone. Secondly, petrophysical characteristics and logging data were analyzed, revealing that shale content curve play a remarkable role in distinguishing lime mudstone from sandstone, so it can be used as the sensitivity curve for lime mudstone and sandstone distinguishing. Finally, it was proposed to improve the reservoir prediction precision utilizing geostatistical inversion technology based on the preferred sensitivity curve and the established isochronous stratigraphic framework. The prediction result of this method is in higher coincidence with the actual drilling result. It is demonstrated that this method can eliminate the effects of lime mudstone effectively, characterize the morphology of fans accurately and meet the requirements of exploration deployment.

Key words: lime mudstone, reservoir prediction, sensitivity curve, Gubei subsag, shale content

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