Use of intelligent systems in reservoir characterization via synthetic magnetic resonance logs

Citation
S. Mohaghegh et al., Use of intelligent systems in reservoir characterization via synthetic magnetic resonance logs, J PET SCI E, 29(3-4), 2001, pp. 189-204
Citations number
5
Categorie Soggetti
Geological Petroleum & Minig Engineering
Journal title
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
ISSN journal
09204105 → ACNP
Volume
29
Issue
3-4
Year of publication
2001
Pages
189 - 204
Database
ISI
SICI code
0920-4105(200105)29:3-4<189:UOISIR>2.0.ZU;2-C
Abstract
Magnetic Resonance Imaging (MRI) logs are well logs that use nuclear magnet ic resonance to accurately measure free fluid, irreducible water (MBVI), an d effective porosity (MPHI). Permeability is then calculated using a mathem atical Function that incorporates these measured properties. This paper des cribes the methodology developed to generate synthetic MRI logs using data obtained by conventional well logs such as SP, Gamma Ray, Caliper, and Resi stivity. The synthetically generated Logs are named Virtual Magnetic Imagin g Logs or "VMRI" logs for short. (C) 2001 Elsevier Science B.V. All rights reserved.