Thèse CIFRE - Techniques de data science appliquées aux données de puits pétroliers H/F

TotalEnergies · PAU, France

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...

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.

Domain: Research Innovation&Developpt

Type of contract: Thesis Student

Experience: Less than 3 years

Employer company: TotalEnergies OneTech

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