Quick
Search: 
 
advanced search
 GSW Home    GeoRef Home    My GSW Alerts    Contact GSW    About GSW    Journals List    Help 
  Petroleum Geoscience   Signup for GSW Email News
JOURNAL HOME HELP CONTACT PUBLISHER SUBSCRIBE ARCHIVE SEARCH TABLE OF CONTENTS

Petroleum Geoscience; October 2004; v. 10; no. 4; p. 331-342; DOI: 10.1144/1354-079303-590
© 2004 Geological Society of London
This Article
Right arrow Figures Only
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Casciano, C.
Right arrow Articles by Masserano, F.
Right arrow Search for Related Content
GeoRef
Right arrow GeoRef Citation

Original Article

Well test simulation through Discrete Fracture Network modelling in a fractured carbonate reservoir

Claudio Casciano, Livio Ruvo, Bruno Volpi and Franco Masserano

Eni E&P Division, Via Emilia 1, 20097 San Donato Milanese, Italy (e-mail: livio.ruvo@agip.it)

A Discrete Fracture Network (DFN) model was used to simulate the results of a production test carried out in a well drilled in a tight, fractured carbonate reservoir. Several static DFN models, depicting different geological scenarios, were built based on data from well logs, core analyses, PLT surveys and structural geology studies. Each of these models underwent a validation procedure, consisting of the simulation of the production test. The comparison between the simulated results and the actual data identified the scenario whose results most closely matched the actual well behaviour.

In order to compensate for the lack of geological data, an iterative loop was performed between the static model and the dynamic simulation. Constraints-added flow simulations provided new information for use in modifying the DFN model, resulting in a step-by-step updating of the static model itself. Finally, a geologically sound model accurately matching the results of the production test was obtained. The final DFN model was used to calculate the equivalent petrophysical parameters that were transferred to the corresponding region of the full field dual-porosity fluid flow model.

KEYWORDS: fractured reservoir, Discrete Fracture Network, well test, dynamic simulation, history match, karstification







JOURNAL HOME HELP CONTACT PUBLISHER SUBSCRIBE ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2009 by Geological Society of London