Matthew Eaid
About Matthew Eaid
Matthew Eaid is a Geophysics Intern at Chevron in Houston, Texas, with extensive experience in geophysics research and internships at various organizations, including Husky Energy, Shell Canada, and the University of Calgary.
Title
Matthew Eaid currently holds the position of Geophysics Intern at Chevron in Houston, Texas. His responsibilities involve seismic imaging and data analysis within the broader scope of geophysics.
Education and Expertise
Matthew Eaid has an extensive academic background from the University of Calgary. He achieved a Bachelor’s Degree in Geophysics with First Class Honors from 2011 to 2015, followed by a Master’s Degree in Geophysics from 2016 to 2018. He further pursued a Doctor of Philosophy (PhD) in Geophysics and Seismology, which he completed between 2017 and 2021. His research included the use of TensorFlow, Jupyter notebook, and Microsoft Azure Cloud Computing.
Work History
Matthew Eaid has accumulated diverse experience in the field of geophysics through several internships and research positions. He has interned at Chevron twice, first in 2019 and again in the current role, focusing on seismic imaging and deep learning algorithms for image classification. Prior to Chevron, he worked at Husky Energy as a Geophysics Summer Student in 2018 and at Shell Canada as a Geophysics Intern in 2015. Additionally, he served as an Undergraduate Researcher in the Department of Geoscience at the University of Calgary in 2016.
Research and Projects
During his academic and professional career, Matthew Eaid authored a senior undergraduate research project on internal multiple prediction based on the inverse scattering series. He also participated in the CREWES research project while pursuing his MSc in Geophysics at the University of Calgary. His work has involved investigating unsupervised deep learning algorithms, such as convolutional autoencoders, generative adversarial networks, and clustering methods, particularly in the context of seismic imaging.
Skills and Tools
Matthew Eaid has developed a strong proficiency in various tools and technologies relevant to geophysics and data science. He gained hands-on experience with TensorFlow, Jupyter notebook, and Microsoft Azure Cloud Computing during his internship at Chevron. These skills have been integral to his work in seismic imaging and deep learning algorithm development.