Stage Testing and Implementation of AI/ML Solutions for Seismic geomorphology, Inversion and Reservo

**Description de l’offre d’emploi** ----------------------------------- Beicip-Franlab is a leading geoscience consulting company that supports client decision-making across all energy sectors, backed by research and development from the IFPEN Group. The company is actively developing and evaluating AI/ML solutions across its geophysical workflows, from seismic geomorphology to inversion and reservoir characterization. In this context, the internship will focus on the evaluation, validation and implementation of AI/ML solutions across key seismic geophysics workflows, with applications spanning seismic geomorphology, inversion, reservoir characterization and quality control. Through these applications, the intern will develop a strong understanding of the underlying geophysical methodologies while assessing how AI/ML approaches can enhance, accelerate and support expert-driven workflows. Main tasks undertaken during the internship : * Become familiar with the relevant geophysical workflows and software, including seismic geomorphology, inversion and seismic reservoir characterization, and understand the key parameters, uncertainties and quality-control criteria used by specialists. * Test and benchmark selected AI/ML-assisted solutions on representative seismic datasets and previous consulting projects, comparing their outputs with expert interpretations or reference results and identifying strengths, limitations, false detections and potential failure modes. * Analyze the influence of seismic data quality, geological context, input attributes and workflow parameters on the performance of the selected solutions and define relevant validation metrics and benchmark criteria. * Propose, prototype and implement workflow improvements, including parameter recommendation, automated quality control, error detection or decision-support approaches using fit-for-purpose AI/ML methods (e.g. machine learning, LLM-based approaches or decision-support methods). * Consolidate the results into validated workflows, usage recommendations and demonstration material supporting future integration of the developed solutions into Beicip-Franlab geoscience applications. Software used : Mainly InterWell specialist software, together with an IDE depending on the programming language used, such as Anaconda, Visual Studio, or NetBeans for prototyping. The internship will be supervised by a senior geophysicist and software engineer. **Profil recherché** -------------------- Final-year student enrolled in a master’s degree or engineering program, with a background in geophysics or geosciences. The candidate should be a fast learner, rigorous, and eager to understand geophysical workflows and master technical software. Knowledge of seismic interpretation and/or signal processing, together with programming skills in Python, is expected. An interest in AI/ML methods and their application to geoscience is essential. **Détails du contrat** ---------------------- * Nombre d’heures hebdomadaires : 35