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.%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.
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机译：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.%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.
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