Açık Akademik Arşiv Sistemi

Estimation of the Presence of Coal Using ANN Method by Employing the Geophysical Log Parameters at the Soma Basin

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dc.contributor.authors Karavul, C; Karaman, H; Demir, AS; Demirkol, A;
dc.date.accessioned 2020-02-26T07:56:21Z
dc.date.available 2020-02-26T07:56:21Z
dc.date.issued 2016
dc.identifier.citation Karavul, C; Karaman, H; Demir, AS; Demirkol, A; (2016). Estimation of the Presence of Coal Using ANN Method by Employing the Geophysical Log Parameters at the Soma Basin. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES INDIA SECTION A-PHYSICAL SCIENCES, 86, 123-113
dc.identifier.issn 0369-8203
dc.identifier.uri https://doi.org/10.1007/s40010-015-0238-9
dc.identifier.uri https://hdl.handle.net/20.500.12619/48832
dc.description.abstract In this study, the feed forward, back propagation neural network model (ANN), used as one of the complex modeling systems and artificial intelligence methods, have been employed to estimate the presence of a coal layer at the Soma Coal Basin. Considering the costs of potential drillings, using ANN means advantages in terms of labour and cost. In this work, the neutron, gamma ray and density data are used as input parameters to the ANN system. For the study case, the geophysical well logs parameters of ten mechanically are drilled wells in the Soma Coal Basin are used. For four drilled wells, the best R and MSE values of 0.74 and 0.084 were estimated respectively. Whereas for each well separately values 0.81 and 0.051 were estimated. It is concluded that ANN given a good fit for the accurate prediction of the presence of coal layers from well log data. Furthermore, for modeling of reserves and estimation of coal layer characterization, ANN gives quick and highly accurate results.
dc.language English
dc.publisher NATL ACAD SCIENCES INDIA
dc.subject Science & Technology - Other Topics
dc.title Estimation of the Presence of Coal Using ANN Method by Employing the Geophysical Log Parameters at the Soma Basin
dc.type Article
dc.identifier.volume 86
dc.identifier.startpage 113
dc.identifier.endpage 123
dc.contributor.department Sakarya Üniversitesi/Mühendislik Fakültesi/Jeofizik Mühendisliği Bölümü
dc.contributor.saüauthor Karavul, Can
dc.contributor.saüauthor Demirkol, Aşkın
dc.relation.journal PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES INDIA SECTION A-PHYSICAL SCIENCES
dc.identifier.wos WOS:000375208300014
dc.identifier.doi 10.1007/s40010-015-0238-9
dc.identifier.eissn 2250-1762
dc.contributor.author Karavul, Can
dc.contributor.author Hamza Karaman
dc.contributor.author A. Serhat Demir
dc.contributor.author Demirkol, Aşkın


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