qifan liu

seismic image analyst

About

I am a geophysics graduate student at the Center for Wave Phenomena (CWP) at Colorado School of Mines. My expertise includes subsurface velocity model building, numerical optimization, and anisotropic seismic inversion. During my graduate studies, I have conducted multiple types of research in applying numerical methods on seismic reflection data and finding the optimal solution for building subsurface anisotropic velocity models. My recent research projects also include applying machine learning techniques in automatically selecting seismic data that are optimal for inversion purposes.

Country

united states

City

houston

Industry

oil & energy

Skill

matlab, seismology, seismic analysis code, petrophysics, geology, mathematica, linux, modeling, c++, seismic imaging, characterization, algorithms, algorithm development, microseismic, exploration geologists, machine learning, deep learning, support vector machine, data structures, partial differential equations, model building

Experience

seismic image analyst

pgs

parameter characterization in tilted orthorhombic media

colorado school of mines

2016-11 - Present · 9 yrs 11 mos

Developed the inversion algorithm for applying multicomponent seismic data to velocity parameter estimation in 3D tilted orthorhombic media using ray-tracing methods and Gauss-Newton optimization, advised by Prof. Ilya Tsvankin.

investigation in imaging conditions in reverse-time migration

colorado school of mines

2015-9 - 2015-12 · 4 mos

Investigated the performances of different imaging conditions, cross-correlation and deconvolution, in the conventional and extended domains in reverse-time migration (RTM).

hydraulic fracturing characterization through seismic anisotropy

texas a&m university

2013-9 - 2015-5 · 1 yr 9 mos

Analyzed time-lapse shear-wave splitting phenomena from multi-directional microseismic signals using SAC, Mathematica & MATLAB, advised by Prof. Richard Gibson.

machine learning applied on automated seismic data selection

colorado school of mines

2018-11 - Present · 7 yrs 11 mos

Applied unsupervised learning (autoencoder networks) and supervised learning (support vector machines) on the dimension reduction problem and the rapid selection of high-quality passive seismic data.