摘要
地震属性技术是储层预测的重要手段,但地震储层预测存在多解性,可靠性程度低问题,预测出的最终图件难以进行合理的地质解释,文章基于地震属性与地质属性随时空变化的关系,根据地震属性与储层属性相关程度,以及地震属性对储层参数敏感程度来进行地震属性有效性分析;然后将搜索算法与神经网络相结合来实现地震属性优化,用优化出的地震属性再进行多元储层预测。实际工区的砂岩厚度预测结果表明,上述方法可明显提高储层预测的精度。
Seismic attribute technique is an important means of reservoir prediction. However, the seismic reservoir prediction is of multi-solvability and low reliability and the final maps predicted are difficult to make a reasonable geologic interpretation. It is pointed out in the paper that the effectiveness analysis of seismic attribute can be done according to the time-space change relation between seismic attribute and geologic attribute, the correlativity of seismic attribute with reservoir attribute and the sensibility of seismic attribute to reservoir parameter; then the seismic attribute optimization may be realized by combining the searching algorithm with the, neural network:, and then the multivariate reservoir prediction can be finished finally by use of the optimized seismic attribute. The prediction result of sandstone thickness in work area indicated that the accuracy of reservoir prediction might be obviously raised by the method mentioned above.
出处
《天然气工业》
EI
CAS
CSCD
北大核心
2005年第7期35-37,i021,共4页
Natural Gas Industry
