Eudorah Ochai-Audu

Onshore Exploration Business Opportunity Manager and Planning Lead Shell Nigeria

Eudorah Ochai-Audu, SPE, is onshore exploration business opportunity manager and planning lead for Shell Nigeria. She holds an MS degree in petroleum geosciences from Royal Holloway, University of London, and is a professional with the Council of Nigeria Mining Engineers and Geoscientists. Ochai-Audu joined Shell in 2008 as a trainee geoscientist. Before her current role, she was a senior production seismologist with more than 13 years of experience in 3D seismic interpretation, static reservoir modeling, and operations geology, and has been involved in several field development plans, oil and gas reservoir evaluations, and field execution projects in Nigeria and the Middle East. One of Ochai-Audu’s greatest passions is talent development, with a strong interest in career coaching and mentoring for young professionals and students. She is a strong advocate for continuous improvement, knowledge sharing, and work simplification leveraging technology. Ochai-Audu is a member of the JPT Editorial Review Board.

Reservoir characterization

Seismic-2024

Recent technical papers have further shown the steady increase in the application of advanced seismic techniques and machine learning to mature to production “stranded” and “advantaged” hydrocarbon-bearing accumulations ; improve carbon capture, storage, and leak detection; and analyze naturally and artificially fractured reservoirs.

February 1, 2024 • Eudorah Ochai-Audu • Journal of Petroleum Technology
Reservoir

Seismic-2023

This year’s titles have a good mix of new frontier exploration, expanding heartlands, and brownfield-development themes. Improved seismic survey techniques, seismic image uplift, enhanced seismic attribute analysis, reservoir characterization, fracture diagnostics, mitigation of induced seismicity, and carbon capture and storage topics also were featured.

February 1, 2023 • Eudorah Ochai-Audu • Journal of Petroleum Technology
Reservoir characterization

Seismic-2022

The past couple of years has been a rollercoaster for energy professionals, but it did not stop the incredible achievements in machine-learning (ML) techniques, particularly neural networks to improve seismic imaging.

February 1, 2022 • Eudorah Ochai-Audu • Journal of Petroleum Technology