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Physical Process Models As Regularization Constraints On Geophysical Imaging Problems, Rachel Grotheer
Physical Process Models As Regularization Constraints On Geophysical Imaging Problems, Rachel Grotheer
All Theses
Obtaining accurate images of solute plumes in the subsurface is important to understand site-specific subsurface flow and transport processes. Since image reconstruction is an inverse problem, its ill-posed nature makes obtaining an accurate, high-resolution image difficult. Further, current geophysical methods for plume imaging do not take into account models of the specific process being targeted for imaging.
The main objective of the research is to find a suitable basis that gives a sparse representation of the plume. In future work, we seek to use this basis as a physical constraint during the inversion so as to increase accuracy in imaging. …