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Spring 2017

Xu, Linan

A major problem in exploration seismology entails estimating subsurface structures and properties via linearized inversion. The problem is often called ''least-squares migration" where seismic imaging is posed as an iterative least-squares problem. The iterative solution employs the method of...

Fall 2013

Shahidi, Seyedehsan

Rapid characterization of complex fluids, especially sensing emulsion stability, is crucial for many industrial applications, ranging from pharmaceutical industry to petroleum production. Electrochemical impedance spectroscopy (EIS) is a powerful tool for electrical characterization of such...

Fall 2016

Nabipoor Sanjebad, Majid

We study penalized fitting strategies aimed at sparse model selection of models satisfying certain hierarchical restrictions, in linear models arising from factorial experiments. After discussing various merits of existing approaches, we propose a modification and generalization of the approach...

Fall 2017

Cheng, Jinkun

Simultaneous source acquisition, or blended acquisition, has become an important strategy to reduce the cost of seismic surveys by allowing overlapping between different sources. The major technical challenge associated with this acquisition design is the strong interferences caused by the...

Spring 2018

Safron, Landon C

Conventional seismic migration operators produce an image that suffers from low resolution, sampling artifacts, and poorly balanced amplitudes. An improved image can be obtained by casting migration as a least-squares optimization problem in which the goal is to minimize the difference between...

Spring 2017

Zhang, Li

In this thesis, we study penalized methods in time series and functional data analysis. In the first part, we introduce regularized periodograms for spectral analysis of unevenly spaced time series. The regularized periodograms, called regularized least squares periodogram and regularized...

Fall 2011

Farahmand, Amir-massoud

This thesis studies the reinforcement learning and planning problems that are modeled by a discounted Markov Decision Process (MDP) with a large state space and finite action space. We follow the value-based approach in which a function approximator is used to estimate the optimal value function....

Spring 2010

Alemie, Wubshet M.

Amplitude Variation with O set (AVO) inversion is one of the techniques that is being used to estimate subsurface physical parameters such as P-wave velocity, S-wave velocity, and density or their attributes. AVO inversion is an ill-conditioned problem which has to be regularized in order to...

2021-02-02

Shardt, Nadia, Wang, Yingnan, Jin, Zhehui, Elliott, Janet

It is desirable to predict the surface tension of liquid mixtures for a wide range of compositions, temperatures, and pressures, but current state-of-the-art calculations (e.g., density gradient theory) are computationally expensive. We propose a computationally simple—but accurate—semi-empirical...

Fall 2017

Stanton, Kenneth A

Historically seismic data processing has relied on the acoustic approximation to process single component data under the simplifying assumption that the recorded wavefield consists mainly of compressional wave modes. With the advancement of multicomponent seismic technology there is an increased...