Publiée 29 juillet 2026
Thèse CIFRE - Techniques de data science appliquées aux données de puits pétroliers H/F
TotalEnergies
Pau, Nouvelle-Aquitaine 64000, France
CDI
Country France City PAU
Area
64 - Pyrénées-Atlantiques
Workplace location PAU-CSTJF(FRA) Employer company TotalEnergies OneTech Domain Research Innovation&Developpt Type of contract Thesis Student
Contract duration
3 Years Experience Less than 3 years
Context & Environment
OneTech's mission is to provide the technical, scientific and digital expertise required for the design of TotalEnergies' development projects, as well as to support operations and project delivery across all its industrial activities worldwide.
Activities
As part of this CIFRE PhD programme, the tasks will be as follows:
1. The automation of multiwell pressure transient analysis to identify and quantify inter-well connection on producing assets.
2. The automation of DST design to provide an optimum test sequence given some objectives and the expected reservoir and fluid properties.
3. Develop an AI assistant for well test interpretation that will be able to propose alternative interpretation and/or identify analogs in a well test database.
Candidate Profile
You need to be graduated from Engineering School or University with a specialty in Data Sciences and Python programming and basic knowledge in well testing.
You need to speak French & English.
Additional Information
TotalEnergies values diversity, promotes individual growth and offers equal opportunity careers.
Area
64 - Pyrénées-Atlantiques
Workplace location PAU-CSTJF(FRA) Employer company TotalEnergies OneTech Domain Research Innovation&Developpt Type of contract Thesis Student
Contract duration
3 Years Experience Less than 3 years
Context & Environment
OneTech's mission is to provide the technical, scientific and digital expertise required for the design of TotalEnergies' development projects, as well as to support operations and project delivery across all its industrial activities worldwide.
Activities
As part of this CIFRE PhD programme, the tasks will be as follows:
1. The automation of multiwell pressure transient analysis to identify and quantify inter-well connection on producing assets.
2. The automation of DST design to provide an optimum test sequence given some objectives and the expected reservoir and fluid properties.
3. Develop an AI assistant for well test interpretation that will be able to propose alternative interpretation and/or identify analogs in a well test database.
Candidate Profile
You need to be graduated from Engineering School or University with a specialty in Data Sciences and Python programming and basic knowledge in well testing.
You need to speak French & English.
Additional Information
TotalEnergies values diversity, promotes individual growth and offers equal opportunity careers.
