AI-DRIVEN ROCK PHYSIC TO LEVERAGE THE SEISMIC CHARACTERIZATION IN EXPLORATION CONTEXT
AI-DRIVEN ROCK PHYSIC TO LEVERAGE THE SEISMIC CHARACTERIZATION IN EXPLORATION CONTEXT
Beicip-Franlab, a leading consulting firm in geoscience, is exploring the potential of AI throughout its value chain. Historically data‑driven and utilizing machine learning, the seismic characterization group is now investigating an innovative approach to re‑introduce rock physics into industrial workflows, leveraging recent breakthroughs in AI.
During this internship, you will work on tasks that combine rock physics, seismic interpretation, and AI techniques, supervised by a senior geophysicist and software engineer.
- Catalog building of rock physics templates, mineral and fluid constants.
- Testing AI (MCDA, PINNS…) to automatically optimize parameters and select the best model(s). Discussion about uncertainties.
- Application to build missing logs and detect anomalous values in raw data.
- Synthetic AVO, synthetic gathers and angle‑stacks. Comparison with real dataset.
- Validation of inversion results and petro‑elastic models. Population of training samples for facies prediction and application to real project data.
- Development of an interactive view (plots vs seismic) into InterWell.
Software used includes IDEs (Anaconda, Visual Studio, NetBeans) and specialist software InterWell. Candidates should be final year master students in geosciences, fast learners, rigorous, eager to master technical software, with knowledge of rock physics and programming (Python, C++, Java).
Seniority level
- Entry level
Employment type
- Internship
Job function
- Research, Analyst, Information Technology
- Utilities