低频数据体的属性提取在储层预测中的应用

详细信息

收稿日期: 2013-06-05

EXTRACTION OF LOW FREQUENCY DATA ATTRIBUTES AND APPLICATION TO RESERVOIR PREDICATION

Received Date: 05 June 2013

摘要: 在利用地震属性进行储层预测的过程中,由于地震数据受地下断裂或裂缝的影响,高频信息部分振幅损失严重,使得储层预测结果经常不能与真实储层的发育情况相吻合。提出利用地震数据的低频部分提取属性来预测储层,无论是在理论数据的试算还是在实际地震资料的应用中,都取得了较好的效果。证明了该方法的有效性,指导了地震解释工作的顺利进行。
- 地震属性 /
- 储层预测 /
- 低频 /
- 断裂
Abstract: When seismic attributes are used in reservoir prediction, due to the effect of fractures and fissures, the amplitude of the high frequency components usually suffers serious loss, that makes the results of reservoir prediction inconsistent with the real development status. For the purpose to solve the problem, we presented in this paper a method to extract attributes from the low frequency part of the seismic data for reservoir prediction and good results have been achieved both in theoretical calculation and practical application. The application of this method has been proved effective and useful to ensure a smooth seismic interpretation.
- seismic attributes /
- reservoir prediction /
- low frequency /
- fracture