Hi, I'm Amir
I'm  Programmer. Seismologist. Researcher. Data scientist. Pythonista.

About Me

A Computational Seismologist & Machine Learning Practitioner

Hello! I'm Amir. I have a PhD in Earth Science and I study Geophysics (seismology). For my master's degree, I used machine learning to detect channels and faults in seismic data. In addition to my thesis work, I used clustering techniques for facies analysis in multiple oilfields. During my PhD, I worked on full-waveform inversion (FWI) to apply it as a time-lapse tool (TL-FWI) to monitor changes in the subsurface that could occur as a result of extraction from, or injection into, reservoirs. TL-FWI has an important role in monitoring the saturation of injected CO2 for carbon capture and storage (CCS). Currently, I'm a postdoctoral researcher developing a processing pipeline using artificial intelligence (AI) to process near-surface seismic data.

Research Interests

Currently, I'm focusing on full-waveform inversion (FWI) and its applications for monitoring the subsurface. Having experience in using machine learning techniques for facies analysis and feature detection in seismic data, I'm also interested in using deep learning for velocity analysis and fluid monitoring in the subsurface. Here are short summaries of the projects that I've worked on.