基于随机分形模拟与Seislog技术预测薄（互）层砂体

doi:10.3863/j.issn.1000-2634.2005.02.003

西南石油大学学报(自然科学版) ›› 2005, Vol. 27 ›› Issue (2): 10-12.DOI: 10.3863/j.issn.1000-2634.2005.02.003

基于随机分形模拟与Seislog技术预测薄（互）层砂体

何琰^１张引来^２吴念胜¹

1.西南石油学院，四川成都610500；2.四川石油管理局地调处，四川南充637000

收稿日期:2004-03-10 修回日期:1900-01-01 出版日期:2005-04-20 发布日期:2005-04-20

The Prediction on Thin(Alternating) Layers Sand Body Based on Technique of Stochastic Fractal Simulation and Seislog Inversion

HE Yan¹ ZHANG Yin-lai² WU Nian-sheng¹

South West Petroleum Institute, Sichuan Chengdu, 610500, China

Received:2004-03-10 Revised:1900-01-01 Online:2005-04-20 Published:2005-04-20

摘要/Abstract

摘要：

地震反演的分辨率大于10m，厚度小于10m的储层砂体在地震反演结果中常常相互叠加，不能单独预测出来，降低了预测精度和预测结果的应用。因此，利用地震资料预测薄（互）层砂体是目前储层预测的一个难点和前沿课题。虽然宽带约束反演表面上能提高分辨率，但那是伪分辨率，不仅没有多大的实际意义，而且计算量大。将随机分形模拟与Seislog软件相结合较好地解决了以上问题。应用实例表明，该方法能预测厚度5m左右的砂体，不仅预测精度较高，而且计算量小，在微机上很容易实现。

关键词: 薄（互）层砂体, 宽带约束反演, 随机模拟, Seislog反演

Abstract: Usually, the seismic resolution is more than 10m. Moreover, the inversion result of inversion that is less than 10m can't be predicted. So, it is a difficult and advanced subject to apply seismic data prediction thin(alternating) layers. Band-constrained inversion can increase the resolution, but it's resolution is false. Moreover, the computer time of band-constrained inversion is very long. The binding of stochastic simulation and Seislog inversion can predict the thin (alternating) layers. The application result indicates that the method not only can predict 5m sand body, but also has high accuracy and the calculation time is short.

Key words: thin (alternating) layers, band-constrained inversion, stochastic simulation, Seislog inversion

中图分类号:

P631.442

何琰张引来吴念胜. 基于随机分形模拟与Seislog技术预测薄（互）层砂体[J]. 西南石油大学学报(自然科学版), 2005, 27(2): 10-12.

HE Yan ZHANG Yin-lai WU Nian-sheng. The Prediction on Thin(Alternating) Layers Sand Body Based on Technique of Stochastic Fractal Simulation and Seislog Inversion[J]. 西南石油大学学报(自然科学版), 2005, 27(2): 10-12.

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基于随机分形模拟与Seislog技术预测薄（互）层砂体

The Prediction on Thin(Alternating) Layers Sand Body Based on Technique of Stochastic Fractal Simulation and Seislog Inversion

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