摘要
油页岩含油率计算的准确与否直接关系到炼油适合性的有效制定。在概述了研究区油页岩的测井响应特征之后,基于测井资料和含油率室内化验分析资料,在含油率化验分析资料归位的基础上采用现代数理统计方法优选了含油率的敏感性测井参数。基于多元拟合技术,利用优选的测井参数构建了研究区内含油率的多测井参数预测模型。利用所构建的模型对研究区内的含油率进行了预测,预测结果与含油率室内化验分析数据对比表明,该方法能够较好地对研究区内的油页岩含油率进行有效预测,预测精度能够满足油页岩储层测井评价的要求。
It is directly related to effectively formulating the oil refining suitability that whether the calculation of shale oil content is accurate or not.This paper outlines the logging response characteristics of oil shale in the study area,based on the analysis of logging and laboratory analysis of oil content,after the laboratory analysis,data of oil content are placed in the true depth of core,then the sensitivity logging parameters of oil content are optimized by adopting modern mathematical statistical methods.Based on the preferred logging parameters,to build multi-logging parameters using multivariate fitting technique is used in nonlinear prediction model of oil content in the study area.The oil content is predicted by using this model.The results of laboratory analysis and prediction show that the method described in this paper could be better used to calculate the oil content of oil shale in the study area,and it can meet the requirement of the logging evaluation of the oil shale reservoir.
出处
《长江大学学报（自科版）（中旬）》
CAS
2013年第11期63-67,5,共5页
Journal of Yangtze University(Nature Science Edition)
基金
陕西省自然科学基金项目(2013JQ5008)
陕西省教育厅自然科学基金项目(2013JK0857)
国家级大学生创新创业训练计划项目(201210705014)
