2010 年 6 巻 1 号 p. 17-22
Accurate spatial modeling of geologic structures and properties are crucial for mechanical and hydraulic characterizations of rock mass. This report presents several methods that are grouped into two categories depending on the natures of geologic data: type I for the data originated from plural populations and type II for the data that can be applied to the prerequisite of stationarity and have distinct spatial correlations. For the type I data, a spline-based method, its combination with stochastic simulation, and neural network method are demonstrated as effective, while geostatistics is certainly powerful tool for the type II data. As new approaches of geostatistics, an application to directional data such as fracture, multi-scale modeling that incorporates a scaling law, and space-time joint analysis for multivariate are reviewed briefly with case studies. These methods can contribute to Earth science and technology including rock engineering related to the problems such as repository of high-level nuclear waste and CCS (carbon dioxide capture and storage) which need the most comprehensive understandings of rock structures and properties.
