1887
Volume 4, Issue 3
  • ISSN: 1354-0793
  • E-ISSN:

Abstract

The proposed methodology utilizes the concept of facies as the basis for reservoir characterization. Facies represent the elementary units of the reservoir. They are objectively determined through a log-based cluster analysis, and are fully characterized with petrophysical properties from cores. A stochastic model is used to distribute facies and related petrophysical parameters (porosity, permeability and irreducible water saturation) within the reservoir volume. Several equally probable reservoir realizations are generated from the same model and tested in a flow simulator. The realization providing the best history match is selected for production forecasts.

Loading

Article metrics loading...

/content/journals/10.1144/petgeo.4.3.227
1998-08-01
2024-04-19
Loading full text...

Full text loading...

http://instance.metastore.ingenta.com/content/journals/10.1144/petgeo.4.3.227
Loading
  • Article Type: Other

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error