Evan Bianco is a seasoned geoscientist with 13 years of experience applying geophysics, petrophysics, and data-driven approaches to subsurface characterization and well planning. He currently works in Shell’s DDnI division and previously ran a boutique consulting practice delivering lightweight, code-first geoscience solutions. Evan blends scientific computing and practical field impact—his work at Corridor helped target wells that produced top initial rates—and he contributes to open-source tools like the well-centric Welly library to improve log handling and visualization. Based in Nova Scotia, he pairs an MSc in Geophysics with a track record of translating seismic and well data into actionable drilling and reservoir decisions. Colleagues describe him as a pragmatic problem-solver who bridges domain expertise and reproducible data workflows.
13 years of coding experience
1 year of employment as a software developer
Combined Honours, Physics and Earth and Ocean Sciences (Geophysics), Combined Honours, Physics and Earth and Ocean Sciences (Geophysics) at University of Victoria
Master's of Science, Geophysics, Master's of Science, Geophysics at University of Alberta, Edmonton
Welly helps with well loading, wireline logs, log quality, data science
Role in this project:
Data Scientist
Contributions:64 commits, 23 pushes, 1 branch in 3 years 8 months
Contributions summary:Evan's contributions focused on the development of features related to well data, particularly in the `welly/well.py` file, where an empty well was created and methods for curve segment retrieval were added. They also contributed to the tutorial section, adding and modifying a notebook related to well basics, which implies a focus on data manipulation and visualization using well log data, consistent with a data science role. These changes indicate work on core functionality for data handling and plotting within the project.
Contributions:3 pushes, 1 branch in 5 years 4 months
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