2026-09-19T02:06:21Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1143532022-01-13T07:53:59Zcom_1721.1_7582com_1721.1_7581col_1721.1_131024
Alison Malcolm.
Hess, Clarion Hadleigh
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences.
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
2018-03-27T14:18:49Z
2018-03-27T14:18:49Z
2012
2012
http://hdl.handle.net/1721.1/114353
1028979427
Thesis: S.B., Massachusetts Institute of Technology, Department of Earth, Atmospheric, and Planetary Sciences, 2012.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 53-54).
The scattering diffusion coefficient between two points can theoretically be extracted from a random distribution of sources. An improved ability to measure the diffusion coefficient of the Earth's crust would simplify the process of characterizing the fracture network for applications in geothermal energy. This has the potential to make geothermal wells more economical to make, more efficient to operate, and longer lived. Previous work has shown the diffusion coefficient can be extracted from synthetic datasets in both one dimension and three dimensions using seismic interferometry. This paper attempts to recover the diffusion coefficient for a realistic source distribution taken from a microseismic dataset from a geothermal field in Indonesia. This dataset did not have an ideal distribution of sources, so the estimated diffusion coefficient did not match the expected value. A better estimate of the expected diffusion coefficient and an improved dataset with sources more evenly distributed in all directions around the receivers would likely give a better result.
by Clarion Hadleigh Hess.
S.B.
54 pages
eng
Massachusetts Institute of Technology
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Earth, Atmospheric, and Planetary Sciences.
The Green's function for the diffusion coefficient
Thesis
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