Information-Categorical Formalization of Processes and Objects of Oil and Gas Object Domain
International Journal of Oil, Gas and Coal Engineering
Volume 5, Issue 6, November 2017, Pages: 184-188
Received: Feb. 7, 2017; Accepted: Mar. 1, 2017; Published: Jan. 15, 2018
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Authors
Mykola Yatsyshyn, Department of Software of Automated Systems, Institute of Information Technology, Ivano-Frankivsk National Technical University of Oil and Gas, Ivano-Frankivsk, Ukraine
Vladimir Yurchushun, Department of Software of Automated Systems, Institute of Information Technology, Ivano-Frankivsk National Technical University of Oil and Gas, Ivano-Frankivsk, Ukraine
Yaroslav Storog, Department of Software of Automated Systems, Institute of Information Technology, Ivano-Frankivsk National Technical University of Oil and Gas, Ivano-Frankivsk, Ukraine
Mykola Pasyeka, Department of Software of Automated Systems, Institute of Information Technology, Ivano-Frankivsk National Technical University of Oil and Gas, Ivano-Frankivsk, Ukraine
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Abstract
In this research paper there was made a new approach to the oil and gas index area description at the category level and inorganic deposit in a borehole formation prognostication process at the category level. The importance of the decision support problem on the levels of exploration, prospecting and exploitation of oil and gas deposits has revived high and permanent interest in this scope of an inquiry. Theory of category use for the quantity and quality info streams calculation for the weak-structured oil and gas object description. It is efficient to use the existing oil and gas field stripping technologies on the basis of this theory.
Keywords
Prognostication Process, Inorganic Deposit, Prognostication Process, Decision Support Problem, Exploitation of Oil and Gas, Weak-Structured Object Description
To cite this article
Mykola Yatsyshyn, Vladimir Yurchushun, Yaroslav Storog, Mykola Pasyeka, Information-Categorical Formalization of Processes and Objects of Oil and Gas Object Domain, International Journal of Oil, Gas and Coal Engineering. Vol. 5, No. 6, 2017, pp. 184-188. doi: 10.11648/j.ogce.20170506.19
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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