Imaging in Seismic Exploration

Project: Research project

Call title (Call ID)

Faculty Development Competitive Research Grant Program 2018-2020

Project Description

One effective way to identify physical parameters that are responsible for particular observed information is by solving an inverse problem. If such information obeys some mathematical model in the form of partial differential equations, the inverse problem can be formulated as a PDE-constrained optimization. Applications include MRI and CT-Scan in Medical Science and seismic imaging for oil or mineral prospecting. These applications typically involve big data, acquired from multiple experimental settings and measurements, which in the end leads to a large optimization problem to solve.
Even though the methods and results should be conceptually applicable to other problems of similar nature, the project focuses mainly on inverse problem in seismic imaging. In particular, the project focuses on the development of methods for solve the associated inverse problem, based on the current development in numerical linear algebra and optimization and compressive sensing. Having all in play, we target on efficient reconstruction of high quality seismic images.
StatusActive
Effective start/end date3/20/1812/31/20

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Inverse problems
Imaging techniques
Partial differential equations
Constrained optimization
Acoustic waves
Tissue
Iterative methods
Signal processing
Earth (planet)
Seismographs
Mathematical models
Students
Steepest descent method
Data storage equipment
Linear algebra
Computerized tomography
Cathode ray tubes
Elastic waves
Medical imaging
Acoustic wave velocity