Acta Geologica Hungarica
Volume/Issue:
Volume 47: Issue 1
Seismic data integration in geostatistical reservoir modeling
Author:
Péter Zahuczki Exploration and Production Division, MOL Hungarian Oil and Gas Plc. H-1039 Budapest, Batthyány u. 45, Hungary

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Pages:
75–81
Online Publication Date:
22 Jul 2005
Publication Date:
01 Jun 2004
Article Category:
Research Article
DOI:
https://doi.org/10.1556/ageol.47.2004.1.6
Keywords:
seismic data; seismic data; hydrocarbon reservoir; neural network method
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Seismic data integration in reservoir modeling workflows is the one of the fastest-growing fields in the Earth Sciences. The actual geostatistical methods (co-kriging, stochastic simulation) can use seismic data as a secondary variable if there is a well-determined linear correlation between well log data and seismic attribute. Seismic interpreters must often increase this correlation. The application of multi-attributes via neural network may help in this case. A neural network type, called multi-layer perceptron, and its application in 3D porosity distribution prediction in a Hungarian natural gas reservoir, are described in this paper.

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Cover Acta Geologica Hungarica
Acta Geologica Hungarica
Print ISSN:
0236-5278
Online ISSN:
1588-2594

Acta Geologica Hungarica
Language English
Size  
Year of
Foundation		 1952
Publication
Programme		 changed title
Volumes
per Year		  
Issues
per Year		  
Founder Magyar Tudományos Akadémia  
Founder's
Address		 H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
Publisher's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher		 Chief Executive Officer, Akadémiai Kiadó
ISSN 0236-5278 (Print)
ISSN 1588-2594 (Online)

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