A Bayesian framework for fracture characterization from surface seismic data

A Bayesian framework for fracture characterization from surface seismic data

We describe a methodology for quantitatively characterizing the fractured nature of a hydrocarbon or geothermal reservoir from surface seismic data under a Bayesian inference framework. Fractures provide pathways for fluid flow in a reservoir, and hence, knowledge about a reservoir’s fractured natur...

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Bibliographic Details
Main Authors: Zamanian, S. Ahmad, Fehler, Michael, Burns, Daniel R.
Other Authors: Massachusetts Institute of Technology. Earth Resources Laboratory
Format: Technical Report
Published: Massachusetts Institute of Technology. Earth Resources Laboratory 2014
Subjects:
Fractures
Geothermal
Modeling
Inversion
Online Access:http://hdl.handle.net/1721.1/90476

Internet

http://hdl.handle.net/1721.1/90476

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