摘要
本文通过对油田储层结构的分析,运用支持向量机的理论和方法,建立了用于预测和计算储层厚度的支持向量机回归模型,并对该模型从参数变化范围、核函数选择、误差评价的标准等多方面进行了探讨,找出了建立储层厚度预测模型的一种有效方法,通过对实际储层厚度的预测,证明该方法在预测和计算储层厚度中具有较高的参考价值.
In this paper, we establish the support vector machines model to forecasting and calculating reservoir thickness by the analyzing of reservoir structure in oil field. We study it from multi-aspects： parameter range, kernel selection, error criterion and so on, we find out an effective method to be used to establish the model of forecasting and calculating reservoir thickness. By forecasting and calculating the reservoir thickness in practice, it proves that this method has higher reference value to forecasting and calculating reservoir thickness.
出处
《地球物理学进展》
CSCD
北大核心
2007年第5期1597-1601,共5页
Progress in Geophysics
基金
国家自然基金重大项目(50490271)资助
关键词
支持向量机
储层厚度
预测
support vector machines （SVM）, reservoir thickness, forecasting
