Extensive work has been done in the recent years involving use of conventional and passive seismic data for fracture characterization. This is particularly the case with unconventional reservoirs such as shale gas, shale oil and geothermal fields. The purpose of our study is to combine the benefits of conventional seismic data that provides relatively higher resolution reservoir characteristics with the relatively low resolution property estimates available from inversion of micro-earthquake data. Given the lower cost of the latter, we propose a cost effective dynamic reservoir characterization approach using a self- sustaining evaluation framework. The resulting time lapse fracture characterization technique is most suitable for those developments which involve the use of low cost passive seismic data acquisition arrays for reservoir monitoring. Our proposed method should allow for optimal use of microseismic data generated as part of passive seismic arrays common in unconventional field developments and thereby provide time lapse reservoir property predictions without having to carry out relatively expensive 4D seismic surveys.
Skip Nav Destination
Framework for Time Lapse Fracture Characterization Using Seismic, Microseismic & Well Log Data
Debotyam Maity;
Debotyam Maity
University of Southern California
Search for other works by this author on:
Fred Aminzadeh
Fred Aminzadeh
University of Southern California
Search for other works by this author on:
Paper presented at the 2012 SEG Annual Meeting, Las Vegas, Nevada, November 2012.
Paper Number:
SEG-2012-0387
Published:
November 04 2012
Citation
Maity, Debotyam, and Fred Aminzadeh. "Framework for Time Lapse Fracture Characterization Using Seismic, Microseismic & Well Log Data." Paper presented at the 2012 SEG Annual Meeting, Las Vegas, Nevada, November 2012.
Download citation file:
Sign in
Don't already have an account? Register
Personal Account
You could not be signed in. Please check your username and password and try again.
Could not validate captcha. Please try again.
Pay-Per-View Access
$9.00
Advertisement
5
Views
Advertisement
Suggested Reading
Advertisement