Methodology of geological and economic monitoring in subsurface use based on an ontological data model

Abstract

Currently, most researchers, when choosing tools for solving an applied problem, pay more and more attention to the application of ontological models in the design of management decision support systems. The sphere of subsurface use is no exception. When designing a comprehensive system for analyzing the results of subsurface use, the main task is to timely identify deviations from the fulfillment of specified indicators, for example, when implementing long-term programs for the reproduction of the mineral resource base. This approach allows you to analyze the situation in a timely manner and adjust the control effect. The main difficulty in building a unified information system in subsurface use is that in order to make management decisions, it is necessary to integrate 3 interconnected and interacting blocks within a single system – the mineral resource base, the mineral resource complex and the mineral resource potential. In fact, the first component of the triad represents the retrospective results of the exploration work carried out. The second component is the current state of mining of mineral resources. The third component is the prospect of developing the mineral resource base, namely, the mineral resource potential. It is possible to create such a convergence, taking into account the heterogeneity of data storage systems, on the basis of an ontological model. The advantage of using ontology is the high level of flexibility of this tool, expressed in the integration of heterogeneous data within a single storage system. This article attempts to use the apparatus of ontological models and artificial intelligence for the geological subject area in terms of solid minerals, in particular widespread, and groundwater.