Development of advising system for exploration of geology and mineral resources using artificial intelligence technique.

本研究的目的是设计一个小型的计算机辅助系统，通过野外地质和实验数据，帮助估计地质碎屑的形成过程及其承载的矿产资源，并评估更普遍和实际使用的可能性。为此，我们采取了三种方法：（1）制作和评估一个基于规则的系统，该系统针对野外地质中的一个小的实际问题进行咨询（自下而上的方法）;（2）设计一个系统，该系统处理一个一般性问题，即估计地质体的形成过程及其承载的矿产资源（自上而下的方法）;（3）制作一个用于输入和分析观测数据的自下而上的工具。对于方法（1），我们建立了一个基于规则的专家系统，帮助用户估计火山岩的侵位方式。为了开发这个，我们使用了一个专家shell智能开发人员（Hyperpress Publishing Corp.）。并完成了一个Volcaniclast系统，该系统至少可用于本科生的野外火山学教学。关于方法（2），我们系统地重新组织了关于地质体形成过程及其含铀资源的现有知识，并设计了一个框架结构的知识基础系统。并结合一个真实的铀矿山的实际情况，阐明了系统的有效性和存在的问题。在方法（3）中，我们构建了一个系统，可以使用数字化仪读取地貌的数字数据，并分析表面积，体积和坡度。通过所有这些方法，我们积累了开发大型系统的重要技术诀窍，该系统可用于勘探地质和矿产资源。

This study aims to design a small, computer-aided system which helps to estimate formative processes of a geological terrane and its bearing mineral resources through field geological and experimental data, and to evaluate the possibility for more general and practical use. For this purpose, we made three approaches : (1) making and evaluating a rule-based system which consults on a small, practical problem if field geology (bottom-up approach) ; (2) designing a system which treats a general problem in estimating formative processes of geological terrane and its bearing mineral resources(top-down approach) : (3) making a bottom-ended tool for inputting and analyzing observational data. As for approach (1), we made a rule-based expert system, which helps a user to estimate a mode of emplacement of volcaniclastic rocks. For developing this, we used an expert shell Intelligent developer (Hyperpress Publishing Corp.) and completed a system Volcaniclast, which can at least be used in education of field volcanology for undergraduate students. Concerning approach (2), we systematically reorganized available knowledge of formative processes of a geological terrane and its bearing uranium resources and designed a frame-structured knowledge-based system. We also incorporated knowledge of a real uranium mine into the system and clarified the validity and problems of the system. In approach (3), we constructed a system which can read digital data of geomorphology using a digitizer and analyze surface area, volume, and slope. Through all these approaches, we accumulated significant know-how for developing a large system which reast general purposes in exploring geology and mineral resources.