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Postdoc : Automatic recognition of tectono-saliferous structures from geological data H/F


Détail de l'offre

Informations générales

Référence

2021-1822  

Description du poste

Métier

F09 Géologie - Ingénieur·e

Intitulé du poste

Postdoc : Automatic recognition of tectono-saliferous structures from geological data H/F

Contrat

CDD

Temps de travail

Temps complet

Durée du contrat

12 Mois

Description de la mission

The geological structures resulting from the mechanisms of the salt tectonics, especially at the level of the passive continental margins, are known to be of good reservoir of energy resources. The main difficulty is to recognize structures associated. Geological map could allows to recognize these forms / structures by interpretation of the unit geology and structure in presence. This step always requires an interpretation by a structural geologist expert. This leads to very subjective and highly variable renderings. Recently, computer-based methods of machine learning (in particular "deep learning" branch for image analysis) make it possible to automatically extract the relevant characteristics over large amounts of data. These methods can be applied to geoscientific problems and in particular to the automatic recognition of complex geological structures from relevant descriptive variables: eg. geological information (rock type, formation type, structural elements, topology ...).

Contacts: Prof. Jean Paul Callot (jean-paul.callot@univ-pau.fr ) ; Christelle Loiselet (c.loiselet@brgm.fr) et Vincent Labbé (v.labbe@brgm.fr )

Contexte

To do this, we propose 1) to compile and manage all existing data to identify geological structures and more particularly salt tectonics associated; (2) to define a predictive model based on built-up examples and deduce main variables (here type of geological structures); (3) to develop / apply the algorithms of automatic shape recognition methods and this on a case of application on one or more basins affected by salt tectonics mechanisms.

Profil

The candidate should hold:
• a PhD in Applied Mathematics or Computer Science with a background in Data Science and a strong interest for geology or observational sciences

• a PhD in Earth Sciences (tectonics or geophysics) with a background in numerical approaches, geological data processing and data sciences approaches.

Programming skills are essential to carry out the expected digital developments. Knowledge of geological and geophysical data to characterize geological structures is expected. The taste for field geology / field observation will also be appreciated as well as a good capacity for synthesis and writing. The candidate should be motivated by research work. He/she should be autonomous in his/her work and have a rigorous approach of scientific issues. Fluent English is necessary to publish his/her results in international publications.

Spécificité du poste

This post-doctoral research project is part of the E2S-UPPA / BRGM framework agreement. The work of the post-doctoral fellow will be shared between the Laboratory of Complex Fluids and their Reservoirs in Pau and the scientific and technical center of the BRGM in Orléans.

Please send your application with curriculum vitae, list of publications, contact details for two suitable referees, and a cover letter (max. 2 pages) detailing your research experience and your motivation to apply for this position before 18th October 2021.

Localisation du poste

Localisation du poste

France, Centre-Val de Loire, Loiret (45)

Ville

Orléans