Executive Summary

During the past year we have continued to make progress on the difficult problems associated with extracting geological information from geophysical data sets. Our research results focus on three major areas of characterization of reservoir heterogeneity and its effects on fluid flow: (1) facies a...

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Bibliographic Details
Main Author: Burns, Daniel R.
Other Authors: Massachusetts Institute of Technology. Earth Resources Laboratory
Format: Technical Report
Published: Massachusetts Institute of Technology. Earth Resources Laboratory 2012
Online Access:http://hdl.handle.net/1721.1/75456
Description
Summary:During the past year we have continued to make progress on the difficult problems associated with extracting geological information from geophysical data sets. Our research results focus on three major areas of characterization of reservoir heterogeneity and its effects on fluid flow: (1) facies analysis and reservoir property estimation from seismic and well log data, (2) fluid flow characterization and property estimation, and (3) anisotropy estimation from borehole and surface seismic data. Our theoretical work continues to be supported by laboratory experimentation (in the large sediment dynamics tank, as well as the borehole scale model facilities) and field data analysis. Finally, because of our interest in data inversion for reservoir properties, we include a paper from Rodi and Mackie on a nonlinear conjugate gradient inversion method. They show results applied to magnetotelluric data, although the method can also be applied to other types of data. The following sections provide a brief summary of the papers included in this report.