Abstract
The article presents a description of an intelligent system for supporting the conceptual design of fields, which includes an ontological knowledge base and a software prototype for automatically configuring a gas treatment system. The ontological knowledge base acts as a tool for preservation and reproduction of infrastructure solutions, which have shown effectiveness in the implementation of oil and gas projects. Model-layers of the ontology are described, including the following ontologies: partonomy, taxonomy, attributive ontology, ontology of processes, ontology of functions, ontology of requirements, ontology of computational models, ontology of equipment. Each ontology layer contains the necessary knowledge for configuring the gas treatment system, formalized using a variety of concepts and relationships be- tween them. Relying on the ontological approach and the function-oriented ontology, a software prototype has been created to solve the following tasks: configuration to requirements, checking the fulfillment of requirements and identifying inconsistencies when changing configurations. The integration of knowledge engineering methods and rigorous mathematical algorithms in decision-making processes makes it possible to use both objective physical laws of oil and gas processes and less formalized information about objects and relations between them. Automatic generation of technological options based on multiple requirements is intended for use in the early stages of design and aims to speed up commissioning and reduce changes.
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