西南石油大学学报(自然科学版)

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基于地震正演和属性分析技术预测河道砂体

曹卿荣,李珮,仝敏波,余若愚   

  1. 陕西延长石油(集团)有限责任公司研究院,陕西西安710075
  • 出版日期:2013-08-01 发布日期:2013-08-01

Channel Sand Distribution Prediction Based on Seismic Forward
Modeling and Attribute Analysis Technology

Cao Qingrong, Li Pei, Tong Minbo, Yu Ruoyu   

  1. Research Institute of Shaanxi Yanchang Petroleum(Group)Co.,Ltd,Xi’an,Shaanxi 710075,China
  • Online:2013-08-01 Published:2013-08-01

摘要:

松辽盆地南部R 字井斜坡带泉四段属河流相沉积,储层为超低渗透储层,埋藏深,物性差,砂体薄,横向上
变化快,优质储层位于河道主体部位。但由于受泉四段T2 强反射界面的影响,掩盖了下伏泉四段I 砂组储层的部
分有效信息,从而加大了储层预测难度。通过建立不同围岩组合、不同砂体厚度的地震正演模型,明确了泉四段河
道砂体与地震反射振幅、频率等属性的相关性。以地震沉积学的理论为依据,井震结合,重新解释砂体包络面,优
选与河道砂体厚度变化相关性好的敏感属性,预测河道砂体储层展布规律。该方法对于薄层、非均质储层的预测
具有较高的实用价值。

关键词: 河道砂体, 地震正演, 地震沉积学, 地震属性, 储层预测

Abstract:

The Fourth Quan Member in R zone well slope belt of south Songliao Basin is ultra-low permeability reservoir,
which is buried deep and is of poor physical property,thin sand body and quick horizontal changes. Its superior Reservoir of
good quality is located in the principal part of the river. The effective signals of sand reservoirs I is shielded due to the influence
of strong impedance interface of T2 at the Fourth Quan Member,so it is more difficult to predict the reservoir. Through
seismic forward modeling of different surrounding rock combinations and different thickness of sand body,we discovered the
correlation between the Fourth Quan Member channel sand bodies and attributes of seismic reflection amplitude,frequency
and so on. Based on the theory of seismic sedimentology,and by combining well and seismic,we reinterpreted the sand body
enveloping surface. The distribution rule of channel sand body reservoirs is predicted by the sensitive attributes,which has
been optimized by the best correlation with thickness variation of channel sand body. The method has higher practical value for
thin and anisotropic reservoir prediction.

Key words: channel sand, seismic forward modeling, seismic sedimentology, seismic attributes, reservoir prediction