Hello! I'm Amir, a PhD candidate in Earth Science studying Geophysics (seismology) and based in Quebec City, Canada. For my master's degree, I used machine learning for detection of channels and faults in seismic data. In addition to my thesis work, I used clustering techniques for facies analysis in oilfields in the south of Iran. Currently, I work on full-waveform inversion (FWI) to apply it as a time-lapse tool (TL-FWI). TL-FWI is a powerful tool to monitor changes under the surface that could occur as a result of extraction from, or injection to, reservoirs. Due to the importance of monitoring the saturation of injected CO2 for carbon capture and storage (CCS), TL-FWI has an important contribution to the environment. In addition to TL-FWI, our application can be a useful tool for other sections of seismology.
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.
Estimating an accurate velocity model of the subsurface is critical in seismic studies. Although FWI has been employed for this purpose, this approach suffers from numerous technical problems. In my current project, I've been using deep learning methods to obtain an appropriate velocity model.
FWI is a powerful technique to recover high-resolution images of the subsurface. Time-lapse FWI can reveal highly valuable information that is significantly important in the petroleum industry for reservoir management. This method can also be employed to monitor the saturation of CO2 for the purpose of carbon capture and sequestration.
Machine learning techniques can be used to improve our understanding of seismic data. Supervised and unsupervised learning methods can be used to detect geological features from seismic data. As an example, I studied one of the Iranian oilfields to detect the channels and faults.