Geophysics & ML Internship - Reservoir Imaging & FWI

cgg; Massy; On-site; EUR 11,000 - 17,000; Full time

Benefits offered by this job

International culture

Subsidized company restaurant

Employee benefits

Public transport reimbursement (Île-de

Mobility incentive

Gym access

Employee assistance program

Job summary

Viridien is seeking a final-year Master’s student with a strong background in physics, mathematics, computer science, or machine learning for a six-month internship focused on developing high-end algorithms for Earth imaging challenges. You will work in the subsurface imaging R&D team, collaborating with software and production departments to advance reservoir-oriented full-waveform inversion.

The role emphasizes neural network integration with FWI, exploring petrophysical information and

Qualifications

• Last year of Master’s degree in Mathematics, Physics, Computer Science, AI, Data Science or Natural Sciences with a Maths/Physics specialization.
• Solid understanding of machine learning algorithms and neural network architecture.
• Excellent coding skills in Python, C/C++, CUDA, FORTRAN.
• Exceptional analytical and problem-solving skills.
• Fluent English (read, written, spoken).

Responsibilities

• Investigate the potential of using neural networks to incorporate petrophysical information for guiding full-waveform inversion (FWI) from both methodology and development perspectives.
• Develop a neural network model to map petrophysical parameters (porosity, lithology, saturation) to elastic parameters (Vp, Vs, density, ...).
• Integrate the neural network mapping into the FWI framework, allowing the inversion to be guided by petrophysical information.

Skills

Fluent English

Machine learning

Analytical thinking

Problem solving

Education

Master's degree in Mathematics, Physics, Computer Science, AI, Data Science or related Natural Sciences with a Math/Physics specialization

Tools

Python

C/C++

CUDA

FORTRAN

Job description

Viridien is seeking a final-year Master’s student with a strong background in physics, mathematics, computer science, or machine learning for a six-month internship focused on developing high-end algorithms for Earth imaging challenges. You will work in the subsurface imaging R&D team, collaborating with software and production departments to advance reservoir-oriented full-waveform inversion.

The role emphasizes neural network integration with FWI, exploring petrophysical information and