Contact Information

  • Chinaemerem Kanu


Geo-Scientist with deep research and advanced imaging and data analysis experience. Successful experience in working with cross-functional teams and leading collaborative and agile projects with huge business implications. Leverages strong background in geoscience, energy, machine learning (ML) models, cloud computing and business models to facilitate business delivery and exceed stakeholder expectations. Strong communication and writing skills.

Looking for roles working either on geophysicis projects, developing and deploying big data analysics and Machine learning models or as a cloud solution architect. 






BP, Houston, TX 02/2015- 01/2021
Geophysicist / Data Scientist, Complex imaging, Upstream Technology, 07/2016 – 01/2021
Role items:
Led technical delivery of imaging projects to facilitate business delivery
Successfully led the QA of first-industry 3D low-frequency (Wolfspar) survey in Maddog GOM. Developed numerical modelling scripts for QA of the survey.
Developed Machine learning (ML) models for Velocity model imaging and signal processing using CNN image segmentation model (UNet);
Led Hackathon team and developed Machine learning model (using Gradient Boosting and Random Forest) for geothermal location screening with 92% accuracy;
Technical led business-driven seismic processing projects; Deployed of Full Wave Migration (FWM) and Full waveform inversion (FWI) driving immediate business impact;
Prototyped 4 signal processing/imaging codes for production with HPC collaboration.

Geophysicist, Seismic Reservoir Characterization and Deployment, 02/2015 – 07/2016
Role items:
Led technical delivery of seismic processing projects to facilitate business delivery.
Led seismic reprocessing and analysis for de-risking of more than 4 BP's multi-billion oil and gas field, extending life-of-fields 5 more years.

Colorado School of Mines, Golden, TX 09/2010 – 12/2014
Graduate Research Assistant
Role items:
Research and develop non-destructive techniques for monitoring weak changes.
Developed novel approach for computing sensitivity kernel for time-lapse monitoring changes that inspired new detailed change localization using Python.
Integrated repeating microseismic events for time-lapse monitoring of less than 2% velocity change within the Coso geothermal field and Paradox field.

Federal Institute for Mat. Research and Testing, Berlin, Germany 06/2014 – 08/2014
Guest Scientist
Role items:
Led an experiment to deploy non-destructive techniques for monitoring weak changes.
Designed and published laboratory experiment results for time-lapse monitoring of weak changes (< 0.2%) within heterogeneous media
Developed imaging algorithm to localize weak changes and improve detectability by an order of magnitude from 2% to 0.2%.

Awards and Certifications

Associate Google Cloud Engineer (2020 - 2022)
Successfully led QA of first in-industry Low frequency Survey 2017/2018
Top Performers, BP America, Technofest 2013
Tudor Fellowship Award for M.Sc. in Geophysics 2009
Travel grant: SEG/Exxon Mobil Student Education Program 2009
ICTP Scholarship Award for Diploma, Earth System Physics 2007/2008


Here are some of my skills:

Seismic imaging (Depth and Time)
Seismic processing/Analysis
Statistical Analysis
Data Science/Machine Learning
Numerical modeling
Agile / Project management
Microsoft Azure
Google Cloud Platform
Python (Scikit-learn, Pandas, Tensor-Flow, Keras, SciPy, etc)
Version Control - Git
Shell Scripting


Doctor of Philosophy, Geophysics, GPA: 3.58
Colorado School of Mines, Golden, CO

Master of Science, Geophysics, GPA: 3.96
Indiana University, Bloomington, IN

Diploma, Earth System Physics, GPA: 4.77/5.00
International Centre for Theoretical Physics, Trieste, Italy

Bachelor of Science, Physics, GPA: 4.88/5.00
Michael Okpara University of Agriculture, Umudike, Nigeria