I am Daniel Coronel. I am a geophysicist and enthusiastic data scientist 😍. I am passionate about working with multi-scale and multi-demensional data. Currenly, I am working using machine learning methods on seismic interpretation applications. I have used computer vision, as well as time series analysis to wellbore and seismic data.
My main interests are:
- Quantitative seismic interpretation 💥
- Geospatial data-science :eart_americas:
- Visualization 🔍
- Computer vision 👀
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F3 👷: Experimental project to learn about parsing different subsurface data formats. Most of the parsers read OpendTect formats. Additionally, I created some small scripts to create seismic, horizons and well objects and the ability to interact with them.
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FWI: Numerical methods course project from my Master's degree. We work on a seismic inversion problem to recover a velocity model from shot gathers. Here, we put in practice solving differential partial equations (Acoustic wave equation) and optimization algorithms to solve the inverse problem.
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