天然气地球科学 ›› 2012, Vol. 23 ›› Issue (3): 596–601.doi: 10.11764/j.issn.1672-1926.2012.03.596

• 天然气勘探 • 上一篇    下一篇

基于SVD法三维地震属性优化技术在苏里格气田含气性预测中的应用

畅永刚,史松群,赵玉华,王大兴   

  1. 中国石油长庆油田分公司勘探开发研究院,陕西 西安 710018
  • 收稿日期:2011-12-30 修回日期:2012-03-12 出版日期:2012-06-10 发布日期:2012-06-10
  • 通讯作者: 畅永刚changyg_cq@petrochina.com.cn E-mail:changyg_cq@petrochina.com.cn
  • 作者简介:畅永刚(1978-),男,甘肃庆阳人,工程师,硕士,主要从事地震储层预测与属性优化方面的研究. E-mail:changyg_cq@petrochina.com.cn
  • 基金资助:

    国家科技重大专项“鄂尔多斯盆地大型岩性地层油气藏勘探开发示范工程”(编号:2011ZX05044)资助.

Application of Optimization Technology of SVD-based 3D Seismic  Attribution in Gas Bearing Prediction of Sulige Gas Field

CHANG Yong-gang,SHI Song-qun,ZHAO Yu-hua,WANG Da-xing   

  1. Research Institute of Exploration and Development of Geophysical Computing Center,Changing Oilfield Company,Xi′an 710018,China
  • Received:2011-12-30 Revised:2012-03-12 Online:2012-06-10 Published:2012-06-10

摘要:

在进行地震储层预测时,经常先对地震属性依据地表环境,采集客观因素、处理不当等原因引起属性异常进行客观分析,充分理解地震各个属性所携带的各种非储层信息;然后再综合分析地质资料,诸如沉积环境、构造特征、岩性变化、物性变化等;最后才是储层含气性在地震属性上的表现特征,再结合非地质因素和非含气性因素进行含气性预测,尤其注意预测方法的适用条件,即在同等级别的地质因素、储层因素的前提下预测含气性。按照上述流程对苏里格气田东区三维地震区进行详细研究,针对三维地震资料属性分析中对于储层预测多解性问题,采用了奇异值分解(SVD)的方法对地震属性展开降维,分类优化,在一定程度上降低了三维地震预测储层的多解性,降低了气田开发井位部署风险,在气田滚动评价与整体开发中起到很好的应用效果。

关键词: SVD(奇异值分解), 属性优化, 致密砂岩储层, 鄂尔多斯盆地, 苏里格气田

Abstract:

In seismic reservoir prediction,we firstly deal with the abnormality of seismic attribute due to surface or seismic acquisition,misleading data processing and understand the seismic attribute with a variety of reservoir information;then we illustrate comprehensively the geological data,such as,sedimentary environment,tectonic features,lithology,physical property;finally the performance characteristics of the gas bearing property of reservoirs in the seismic attribute is determined in combination with geologic factors,no gas bearing prediction factors. Here,we must pay special attention to the conditions of the prediction method like as the prediction of gas bearing in one level of geological and reservoir factors. In this paper we use the singular direct decomposition method to reduce dimensionality of seismic attributes and optimize the deployment in the eastern Sulige gas field 3D seismic,since there is the ambiguity of reservoir prediction in the 3D seismic data attribute analysis. To a certain extent,this method reduces the ambiguity of the seismic reservoir and decrease the risk of well deployment in the gas development,getting the good effect on rolling evaluation and overall development.

Key words: Single value decomposition(SVD), Attribute optimization, Compacted sandstone reservoir, Ordos basin, Sulige gas field.

中图分类号: 

  • TE132.1

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