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  • 1 INA-Oil Industry Plc., Sector for Geology and Reservoir Management, Zagreb, Croatia
  • | 2 Department of Geology and Geological Engineering, Faculty of Mining, Geology and Petroleum Geology, University of Zagreb, Zagreb, Croatia
  • | 3 Department of Geology and Paleontology, University of Szeged, Szeged, Hungary
  • | 4 Šubićeva 29, 10000, Zagreb, Croatia
  • | 5 Pierottijeva 6, 10000, Zagreb, Croatia
  • | 6 H-6722, Szeged, Egyetem u. 2-6, Hungary
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Abstract

Three examples of the use of neural networks in analyses of geologic data from hydrocarbon reservoirs are presented. All networks are trained with data originating from clastic reservoirs of Neogene age located in the Croatian part of the Pannonian Basin. Training always included similar reservoir variables, i.e. electric logs (resistivity, spontaneous potential) and lithology determined from cores or logs and described as sandstone or marl, with categorical values in intervals. Selected variables also include hydrocarbon saturation, also represented by a categorical variable, average reservoir porosity calculated from interpreted well logs, and seismic attributes. In all three neural models some of the mentioned inputs were used for analyzing data collected from three different oil fields in the Croatian part of the Pannonian Basin. It is shown that selection of geologically and physically linked variables play a key role in the process of network training, validating and processing. The aim of this study was to establish relationships between log-derived data, core data, and seismic attributes. Three case studies are described in this paper to illustrate the use of neural network prediction of sandstone-marl facies (Case Study # 1, Okoli Field), prediction of carbonate breccia porosity (Case Study # 2, Beničanci Field), and prediction of lithology and saturation (Case Study # 3, Kloštar Field). The results of these studies indicate that this method is capable of providing better understanding of some clastic Neogene reservoirs in the Croatian part of the Pannonian Basin.

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Senior editors

Editor(s)-in-Chief: Attila DEMÉNY

Deputy Editor(s)-in-Chief: Béla RAUCSIK

Co-ordinating Editor(s): Gábor SCHMIEDL

Editorial Board

  • Zsolt BENKÓ (Geochemistry, Ar dating; Institute for Nuclear Research, Debrecen)
  • Szabolcs HARANGI (Petrology, geochemistry, volcanology; Eötvös Loránd University, Budapest)
  • Anette GÖTZ (Sedimentology; Landesamt für Bergbau, Energie und Geologie, Hannover)
  • János HAAS (Regional Geology and Sedimentology; Eötvös Loránd University, Budapest)
  • István Gábor HATVANI (Geomathematics; Institute for Geological and Geochemical Research, Budapest)
  • Henry M. LIEBERMAN (Language Editor; Salt Lake City)
  • János KOVÁCS (Quaternary geology; University of Pécs)
  • Szilvia KÖVÉR (Sedimentology; Eötvös Loránd University, Budapest)
  • Tivadar M. TÓTH (Mineralogy; Petrology    University of Szeged)
  • Stephen J. MOJZSIS (Petrology, geochemistry and planetology; University of Colorado Boulder)
  • Norbert NÉMETH (Structural geology; University of Miskolc)
  • Attila ŐSI (Paleontology; Eötvös Loránd University, Budapest)
  • József PÁLFY (Fossils and Stratigraphic Records; Eötvös Loránd University, Budapest)
  • György POGÁCSÁS (Petroleum Geology; Eötvös Loránd University, Budapest)
  • Krisztina SEBE (Tectonics, sedimentology, geomorphology University of Pécs)
  • Ioan SEGHEDY (Petrology and geochemistry; Institute of Geodynamics, Bucharest)
  • Lóránd SILYE (Paleontology; Babeș-Bolyai University, Cluj-Napoca)
  • Ákos TÖRÖK (Applied and Environmental Earth Sciences; Budapest University of Technology and Economics, Budapest)
  • Norbert ZAJZON (Petrology and geochemistry; University of Miskolc)
  • Ferenc MOLNÁR (ore geology, geochemistry, geochronology, archaeometry; Geological Survey of Finland, Espoo)

Advisory Board

Due to the changes in editorial functions, the Advisory Board has been terminated. The participation of former Advisory Board members is highly appreciated and gratefully thanked.

CENTRAL EUROPEAN GEOLOGY
Institute for Geochemical Research
Hungarian Academy of Sciences
Address: Budaörsi út 45. H-1112 Budapest, Hungary
Phone: (06 1) 309 2681
Phone/fax: (06 1) 319 3137
E-mail: demeny@geochem.hu

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2020  
Scimago
H-index
24
Scimago
Journal Rank
0,253
Scimago
Quartile Score
Geology Q3
Scopus
Cite Score
59/33=1,8
Scopus
Cite Score Rank
Geology 134/251 (Q3)
Scopus
SNIP
0,679
Scopus
Cites
146
Scopus
Documents
4
Days from submission to acceptance 247
Days from acceptance to publication 229
Acceptance
Rate
36%

 

2019  
Scimago
H-index
22
Scimago
Journal Rank
0,313
Scimago
Quartile Score
Geology Q3
Scopus
Cite Score
43/33=1,3
Scopus
Cite Score Rank
Geology 151/235(Q3)
Scopus
SNIP
0,593
Scopus
Cites
106
Scopus
Documents
7
Acceptance
Rate
47%

 

Central European Geology
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Central European Geology
Language English
Size Vol 1-63: B5
Vol 64- : A4
Year of
Foundation
2007 (1952)
Volumes
per Year
1
Issues
per Year
4
Founder Magyar Tudományos Akadémia  
Founder's
Address
H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
Publisher's
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H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
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Chief Executive Officer, Akadémiai Kiadó
ISSN 1788-2281 (Print)
ISSN 1789-3348 (Online)

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