摘要
储层固有的随机性和复杂性不仅给测井解释工作带来困难，也降低了测井参数的可靠性。储层岩性、物性、含油性及其结构，决定了测井响应特征及测井参数的数学分布。以测井参数的分布特征为依据，阐述人们广泛采用的参数方法建模的不合理性及实际应用的缺陷，同时给出了非参数建模的思想方法及流体识别参数模型。经实际资料验证，解释符合率达８２．６％。
The inherent randomness and complexity of reservoir make logging
interpretation difficult and also decrease the reliability of logging parameters. Lithology,
physical properties, oilbearing condition and the structure of reservoir determine the log
response features and mathematical distribution of logging parameters. Based on the
distribution characteristics of logging parameters, this paper points out the irrationality
and the practical defect of the commonly used parametric modeling. It describes the
concept of nonparametric modeling and gives the semiparametric model of fluid
identification. Application result proves that the interpretation coincidence rate reaches
826%, which meets the demand of oil field development.
出处
《测井技术》
CAS
CSCD
北大核心
1999年第3期186-189,共4页
Well Logging Technology
关键词
储集层
流体参数
测井数据
测井解释
半参数法
: reservoir
fluidparameterlog datamathematical modellog interpretationstatistical analysis
