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利用地震资料属性信息预测油气储层已越来越受到石油地球物理工作者的广泛重视。但如何优化地震属性,从而更加精确地预测薄砂岩储层特征,提高其描述精度,更是地质及地球物理勘探家们始终不懈的追求。本文在借鉴主成分分析思想的基础上,提出一种新的地震属性优化方法-约束主成分分析。经理论模型的计算及油田区的实际应用表明:该方法不仅能提高储层预测的精度,而且具有更好的适用性。
Predicting oil and gas reservoirs by using seismic attribute information has drawn more and more attention from petroleum geophysical workers. However, how to optimize the seismic attributes to predict the characteristics of thin sandstone reservoirs more accurately and to improve their description accuracy is the consistent pursuit of geologists and geophysical surveyors. Based on the idea of principal component analysis, this paper proposes a new method of seismic attribute optimization - constrained principal component analysis. The calculation of theoretical model and the practical application of oilfield show that this method not only can improve the accuracy of reservoir prediction, but also has better applicability.