CWP Graduate Research Assistants

(Listed alphabetically by last name)

Odette Aquino de Aragao
PhD student

aquinodearagao@mymail.mines.edu
Odette Aragao CV

Advisor: Paul Sava

Alicia Arias
MS candidate

alijohns@mines.edu

Advisor: Paul Sava

Alicia’s research projects encompass seismic data processing and real-time GPR data processing.

Yogesh Arora
PhD candidate

yarora@mines.edu
Yogesh Arora CV

Advisor: Ilya Tsvankin

Yogesh uses Kirchhoff migration for diffraction imaging in anisotropic media. He is currently working on estimating anisotropy parameters from diffractions.

Tong Bai
PhD candidate

tbai@mines.edu
Tong Bai CV

Advisor: Ilya Tsvankin

Tong’s research focuses on Q-related processing in anisotropic media. With two developed viscoelastic VTI propagators based on GSLS model (for inversion) and Kjartansson’s constant-Q model (for imaging), he has conducted FWI for attenuation estimation, and demonstrated the necessity of understanding Q-anisotropy by applying Q-compensated time-reversal imaging for microseismic source characterization.

Samuel Courville
MS student

scourvil@mines.edu
Samuel Courville CV

Advisor: Paul Sava

Samuel is researching how to collect full coverage seismic data from asteroids and small planetary bodies with a laser doppler vibrometer. His work could one day provide planetary scientists with much needed information on the internal structures of asteroids, which can validate or discredit solar system formation hypotheses. Samuel’s project is funded by NASA.

Oscar Jarillo Michel
PhD Candidate

ojarillo@mines.edu
Oscar Jarillo Michel CV

Advisor: Ilya Tsvankin

Oscar uses full-waveform inversion to estimate the location, mechanism, and origin time of earthquakes as well as the velocity parameters in anisotropic media.

Xueyi (Alex) Jia
PhD student

jia@mines.edu
Xueyi (Alex) Jia CV

Advisor: Roel Snieder

Alex’s passion lies in making frontier seismic methods (processing, imaging, and inversion) applicable for practical energy exploration and production. His research focus is to implement Marchenko imaging to 3D and field data, and to explore the geophysical applications of the Marchenko framework.

Colton Kohnke
PhD student

ckohnke@mines.edu
Colton Kohnke CV

Advisor: Paul Sava

The focus of Colton’s research is localized joint inversion of seismic and electromagnetic data with reservoir monitoring applications.

Tugrul Konuk
PhD student

tugrulkonuk@mines.edu
Tugrul Konuk CV

Advisor: Jeff Shragge

Vladimir Li
PhD candidate

vli@mines.edu
Vladimir Li CV

Advisor: Ilya Tsvankin

Vladimir’s research is focused on image-guided migration-based travel time tomography and waveform inversion for acoustic TI media.

Ivan Lim Chen Ning
PhD candidate

ivanlimchenning@mymail.mines.edu
Ivan Lim Chen Ning CV

Advisor: Paul Sava

 

Ivan is working on the development of state-of-the-art seismic acquisition using fiber optic, known as Distributed Acoustic Sensing. In particular, Ivan is developing the capability to acquire multicomponent data using DAS, which is not possible with currently available DAS technology. Ivan also explores the potential of multicomponent DAS data in seismic applications such as microseismic, tomography and imaging.

Aaron Prunty
PhD student

prunty@mymail.mines.edu
Aaron Prunty CV

Advisor: Roel Snieder

Aaron’s research focuses on the theoretical development of linear sampling methods as a means to study inverse scattering, focusing, and imaging problems. Linear sampling provides a conceptually simple framework in which space-time is probed to find the locations of unknown sources of radiation, such as embedded scatterers, microseismic sources, or other ambient sources of radiation. Because probing space-time does not require any information about the source of radiation, linear sampling methods do not make any weak scattering approximations and the full recorded waveforms may be used.

Qifan Liu
PhD candidate

qifanliu@mymail.mines.edu
Qifan Liu CV

Advisor: Ilya Tsvankin

Qifan’s research interest focuses on the velocity analysis and parameter estimation in tilted orthorhombic (TOR) models. He is currently developing inversion algorithms that use multicomponent wide-azimuth reflection data to characterize TOR media.

Thomas Rapstine
PhD student

trapstin@mines.edu
Thomas Rapstine CV

Advisor: Paul Sava

Thomas is currently exploring alternatives for acquiring land seismic data without touching the ground surface. The specific focus of his current research is on the feasibility of using stereo vision and so-called video motion magnification for deducing subtle ground motion from video.

Daniel Rocha
PhD candidate

drocha@mines.edu
Daniel Rocha CV

Advisor: Paul Sava

In order to obtain an improved estimation of the subsurface physical properties within fewer iterations, Daniel utilizes imaging operators derived from the wavefield energy norm for least-squares migration and tomography. Such operators exploit polarization and directionality from the extrapolated wavefields to mitigate artifacts that retard convergence towards the desired subsurface model.

Patipan (Mickey) Saengduean
PhD student

psaengduean@mines.edu
Patipan Saengduean CV

Advisor: Roel Snieder

Patipan’s research interests are microseismisity and seismic interferometry. He is currently working on the applications of the virtual seismic method (VSM) to obtain wave responses (Green’s function) and to hopefully obtain geo-mechanical properties within different source scenarios (e.g., subduction earthquakes and micro-earthquakes induced by fluid injections).

Harpreet Singh Sethi
PhD student

hsethi@mines.edu

Advisor: Ilya Tsvankin

Sagar Singh
PhD student

sagarsingh@mines.edu
Sagar Singh CV

Advisor: Ilya Tsvankin

Sagar is currently working on Full Waveform Inversion(FWI) for Reservoir Characterization with the idea to constraint FWI work-flow using rock physics relationship with elastic properties to provide very high resolution image in depth domain. He is currently working with Elastic VTI model and will extend it to an elastic orthorhomic model in future. He also intends to do targeted reservoir parameter inversion using local solvers in time domain.