Using neural networks to predict porosity thickness from 3D seismic data

H. Trappe; C. Hellmich

doi:10.1046/j.1365-2397.2000.00091.x

ISSN: 0263-5046
E-ISSN: 1365-2397

Using neural networks to predict porosity thickness from 3D seismic data
By H. Trappe and C. Hellmich
Source: First Break, Volume 18, Issue 9, Sep 2000,
DOI: https://doi.org/10.1046/j.1365-2397.2000.00091.x
- Published online: 01 Sep 2000

Abstract

This article describes the use of an artificial neural network to predict area-wide reservoir parameters by classifying multi-attributes derived from 3D seismic data. Special emphasis is placed on the comparison between the artificial neural network and geostatistical appoaches.

EAGE Publications BV

Article metrics loading...

/content/journals/10.1046/j.1365-2397.2000.00091.x

2000-09-01

2024-04-24

From This Site

/content/journals/10.1046/j.1365-2397.2000.00091.x

dcterms_title,dcterms_subject,pub_keyword

-contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution

10

5

Full text loading...

http://instance.metastore.ingenta.com/content/journals/10.1046/j.1365-2397.2000.00091.x

Article Type: Research Article

Most Cited This Month Most Cited RSS feed

- Curvature attributes and their application to 3D interpreted horizons
  
  By A. Roberts
- Distributed Acoustic Sensing – a new tool for seismic applications
  
  Authors Tom Parker, Sergey Shatalin and Mahmoud Farhadiroushan
- Effects of igneous intrusions on the petroleum system: a review
  
  Authors Kim Senger, John Millett, Sverre Planke, Kei Ogata, Christian Haug Eide, Marte Festøy, Olivier Galland and Dougal A. Jerram
- Seismic Inversion Methods and some of their constraints
  
  Authors P.C.H. Veeken and M. Da Silva
- MEMS-based accelerometers: expectations and practical achievements
  
  Authors D. Mougenot, A. Cherepovskiy and L. JunJie
- Thematic Set: Full waveform inversion: the next leap forward in imaging at Valhall
  
  Authors L. Sirgue, O.I. Barkved, J. Dellinger, J. Etgen, U. Albertin and J.H. Kommedal
- Automatic seismic prediction ahead of the tunnel boring machine
  
  Authors G. Kneib, A. Kassel and K. Lorenz
- Well log and seismic data analysis using rock physics templates
  
  Authors P. A. Avseth and E. Odegaard
- Geostatistical inversion - a sequential method of stochastic reservoir modelling constrained by seismic data
  
  Authors A. Haas and O. Dubrule
- Two-dimensional resistivity mapping with a computer-controlled array
  
  Authors D.H. Griffiths, J. Turnbull and A.I. Olayinka
More Less

Using neural networks to predict porosity thickness from 3D seismic data

Abstract

Most Read This Month

Most Cited This Month Most Cited RSS feed