Bruno NANWO NGONGANG

I am a Petroleum Geoscientist with expertise in subsurface analysis, seismic interpretation, and lithofacies classification. Over the years, I have worked extensively with 3D seismic data, well logs, and machine learning algorithms to enhance reservoir characterization and exploration. My experience spans across genetic inversion workflows, seismic attribute extraction, and lithofacies prediction, enabling data-driven decision-making in the energy sector.

Beyond geoscience, I have developed strong project management skills, successfully leading cross-functional teams and ensuring the smooth execution of complex technical projects. My ability to bridge the gap between geoscience and data science drives innovation, particularly in leveraging AI and machine learning for predictive modeling in exploration and production.

Currently, I am expanding my expertise in data science, applying statistical analysis and machine learning techniques to improve subsurface evaluation and risk assessment. My passion lies in integrating geoscience, technology, and data analytics to solve industry challenges and optimize exploration strategies.

I hold a Master of Science in Geosciences, equipping me with a strong foundation in petroleum geology, seismic interpretation, reservoir characterization, and geophysical analysis. My academic background has provided me with expertise in structural geology, stratigraphy, well log analysis, and advanced geostatistical methods.

Currently, I am furthering my education in data science, focusing on machine learning, statistical modeling, and big data applications in geosciences. This interdisciplinary approach allows me to integrate AI-driven techniques into subsurface analysis, enhancing exploration and production workflows.

My continuous learning mindset drives me to stay at the forefront of geoscience innovation, bridging traditional geological expertise with modern data-driven solutions.