Qifan Liu
About Qifan Liu
Qifan Liu is a Seismic Image Analyst with extensive experience in seismic data assessment and modeling. He has worked at notable institutions including PGS, Colorado School of Mines, and Texas A&M University, contributing to various projects involving machine learning and seismic anisotropy.
Work at PGS
Qifan Liu has been employed at PGS as a Seismic Image Analyst since 2020. In this role, he focuses on analyzing seismic images to enhance subsurface imaging techniques. His work contributes to the company's efforts in providing advanced geophysical solutions in the energy sector. Liu's expertise in seismic data analysis supports PGS's commitment to delivering high-quality seismic imaging services.
Education and Expertise
Qifan Liu holds a Master of Science in Geophysics and Seismology from Colorado School of Mines, where he studied from 2015 to 2019. He also earned a Bachelor's Degree in Geophysics and Seismology, graduating Cum Laude from Texas A&M University between 2012 and 2015. Liu's academic background provides a strong foundation in geology and earth sciences, enhancing his analytical skills in seismic data assessment.
Background
Qifan Liu's professional journey includes significant roles in academia and industry. He worked at Texas A&M University from 2013 to 2015, focusing on hydraulic fracturing characterization through seismic anisotropy. Liu also contributed to research at Colorado School of Mines, where he engaged in projects related to anisotropic velocity building and imaging conditions in reverse-time migration. His diverse experiences have shaped his capabilities in seismic data analysis.
Achievements
During his graduate studies at Colorado School of Mines, Qifan Liu developed algorithms for automating quality assessment in seismic data using machine learning techniques. He also participated in building subsurface low-symmetry anisotropic velocity models as part of seismic inversion studies. Liu's research contributions have advanced the understanding of seismic data challenges and improved imaging methodologies.