Applied Mathematics Engineer Intern Quantifying Uncertainty in Subsurface Geology (5-6 months)

APPLIED MATHEMATICS ENGINEER INTERN - QUANTIFYING UNCERTAINTY IN SUBSURFACE GEOLOGY (5-6 MONTHS) Montpellier - France JOB TITLE: Applied Mathematics Engineer Intern - Quantifying Uncertainty in Subsurface Geology (5-6 months) LOCATION: Montpellier, France ABOUT SCHLUMBERGER: We are Schlumberger, the leading provider of technology and services to the energy industry. Throughout much of the oil and gas lifecycle in over 120 countries; we design, develop, and deliver technology and services that transforms how work is done. We define the boundaries of the industry by unleashing our talented people’s energy. We’re looking for innovators to join our diverse community of colleagues and develop new solutions and push the limits of what’s possible. If you share our passion for discovery and want to find out what you could really do, then here is the place to do it. JOB SUMMARY: Our team, Subsurface Structural Modeling, has for mission the elaboration of industrial numerical code for building structural models of the underground. Those models are essential to understand the history of the underground and its structure, enabling to search for subsurface ressources (ore, geothermal, oil and gas, water). The objective of this internship is to build a method allowing to take into account the interpretation data uncertainty, in particular for the faults, in order to estimate the variability it induces on the geological structures. First, the candidate will have to do a research of bibliography in order to have a panoramic view of the current techniques allowing to quantify uncertainty of interpretation data. Second the candidate will implement a new technique based on finite element approximation allowing to relax the geometrical constraints due to fault discontinuities, by introducing them as a dual field in the formulation. This allows to have a more flexible representation of the structure and to decouple the discontinuities from the space discretization. Last, but not least, the candidate will use some recent results of stochastic finite elements (polynomial chaos) in order to study the variability of the structural models linked to the fault uncertainty. ESSENTIAL RESPONSIBILITIES AND DUTIES: * Bibliographical research * Analysis of the problem * Mathematical formulation (pdes, probabilties, random chaos) * Implementation of a prototype (C++) * Report and Technical discussions QUALIFICATION: * 5 years degree (or equivalent) in applied mathematics * Penultimate or final year COMPETENCIES: * C++ programming * Curiosity, rigor and problem solving skills * High interest in scientific domains and industrial challenges * Excellent English communication skills Schlumberger is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.