Internship - Wellbore image segmentation and artefact recognition & classification M/F

Descrizione del lavoro:

Country France City PAU Workplace location PAU-CSTJF(FRA) Employer company TotalEnergies OneTech Domain Geoscience & Reservoir Type of contract Internship
Contract duration 6 Months Experience Less than 3 years

Context & Environment

This internship takes place in the framework of a research project launched in 2024. This project consist of developping strategic tools for borehole image interpretation (BHI). One project objective consists of creating an automatic artefact removal on ultrasonic image type, using a labelised image database. A first iteration was done in 2025 assessing the capability and the interest of such tool. However with a limited input at the time being, it was not able to be used routinely.

Activities

The intern will develop and test a deep learning segmentation approach on the borehole images. It will aim to automatically recognize the artefacts and remove them before continuing with the interpretation. The developed prototype will be tested on in-house wells. The intern will not have to do the labelisation himself, but may have to provide advices to the team in charge of it.

Candidate Profile

Currently preparing for a Master's degree at an engineering school or university and looking for a 6-month internship starting in February 2026.

Technical skills:
Data sciences
Machine Learning
Python coding
Fluent English or French

IT skills:
Data processing
Coding and algorithms
Data management

Soft skills:
Rigour and Care
Autonomy
Communication skills

Does this sound like you? Don't wait any longer... apply to join the TotalEnergies teams at CSTJF in Pau!

Additional Information

Cette offre concerne un stage conventionné à temps plein, les stages alternés ne sont possibles.
Pour postuler, merci de joindre un CV + lettre de motivation (vos dates de stage doivent être indiquées).
TotalEnergies values diversity, promotes individual growth and offers equal opportunity careers