Seismic attributes optimization and application in reservoir prediction

石油地球物理学者认识到与油和煤气的水库有关的许多参数用地震属性数据被预言。然而，优化地震属性，预言薄沙岩水库的特性，并且提高水库描述精确性的最好怎么是为地质学家和地球物理学者的一个重要目标。基于主要部件分析的理论，我们在场一个新优化方法，叫的抑制主要部件分析。在一个油矿的当模特儿的估计和真实申请证明它能提高水库预言精确性并且有更好的适用性。

Petroleum geophysicists recognize that many parameters related to oil and gas reservoirs are predicted using seismic attribute data. However, how best to optimize the seismic attributes, predict the character of thin sandstone reservoirs, and enhance the reservoir description accuracy is an important goal for geologists and geophysicists. Based on the theory of main component analysis, we present a new optimization method, called constrained main component analysis. Modeling estimates and real application in an oilfield show that it can enhance reservoir prediction accuracy and has better applicability.