Please use this identifier to cite or link to this item: http://earchive.tpu.ru/handle/11683/14750
Title: Neural geological-genetic and radiogeochemical forecast model of oil-bearing fields
Authors: Gorbachev, S. V.
Kurkan, Ivan Konstantinovich
Keywords: геолого-генетические модели; радиогеохимические модели; углеводороды; геологические модели; нейросетевые методы
Issue Date: 2015
Publisher: IOP Publishing
Citation: Gorbachev S. V. Neural geological-genetic and radiogeochemical forecast model of oil-bearing fields / S. V. Gorbachev, I. K. Kurkan // IOP Conference Series: Materials Science and Engineering. — 2015. — Vol. 81 : Radiation-Thermal Effects and Processes in Inorganic Materials : International Scientific Conference, 3-8 November 2014, Tomsk, Russia : [proceedings]. — [012106, 7 p.].
Abstract: In recent years, oil and gas exploration are increasingly turning to direct methods to identify accumulations of hydrocarbons (magnetometry, radiometry, geochemical methods, etc.). Similar works are tested high in the Tomsk region, near the Ob basin. In this paper we present some results of testing of geological and genetic models and radiogeochemical occurrence of hydrocarbons in relation to various oil and gas complexes, with the development of neural network methods of analysis and forecasting, formulated proposals for their integrated use.
URI: http://earchive.tpu.ru/handle/11683/14750
Appears in Collections:Материалы конференций

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