Geophysicist Processing Intern

Location: Massy, France

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.

Job Summary

This six-month internship is designed for final-year physics, mathematics, and geophysics students eager to apply their theoretical knowledge and problem-solving skills to real-world Earth data.

About the team

We are a diverse and dynamic group of around hundred of operation and R&D geophysicists based in France with strong relation with our colleagues from UK, Singapore, Brazil, and USA.

We develop and apply state-of-the-art signal processing, modeling, and imaging techniques using some of the world’s most advanced computing facilities to build high-resolution 3D images and models of the Earth’s subsurface. Beyond imaging, we transform seismic data into quantitative rock-property models, helping our clients better understand the subsurface and make informed decisions.

You can expect to develop your skill in the fields of signal processing, modelling and imaging, and to gain awareness of wider developments in the fields of geoscience and data science.

Key Responsibilities

You will have the opportunity to work on one of the following topics:

FWI for enhancing land imaging

Full-waveform inversion (FWI) has become an essential tool for velocity model building and imaging tool in marine environments, but its application on land seismic data remains challenging. Land FWI is hindered by elastic wave phenomena and complex near-surface conditions that generate energetic surface waves, scattering, mode conversions and multiples.

Within one of our teams dedicated to land seismic processing and imaging, during this internship you’ll be in charge of:

Testing new methods to further refine and improve our current state-of-the-art FWI workflow, in collaboration with our R&D department

Setting up a robust production FWI workflow over a large ultra-high-density land dataset

Towards extracting reservoir properties with elastic FWI

FWI is widely used for velocity model building in complex geology. However, until recently, most industrial applications used acoustic modeling to reduce computing costs. Moving to elastic FWI is a step forward not only because it allows improving P-wave velocity and imaging, but also because it provides access to elastic parameters (Vp, Vs and density) which are critical for reservoir characterization.

Within one of our teams dedicated to marine seismic processing and imaging during this internship you will be in charge of:

Establishing a new imaging workflow for optimizing the update of the elastic parameters with FWI. The coupling between these parameters being a complex problem, testing will be carried out in collaboration with the R&D department

Building a production-scale velocity model with elastic FWI over a streamer or OBN dataset.

Advanced 4D processing & Imaging

4D seismic processing and imaging are essential for monitoring how reservoirs change over time. By comparing seismic surveys acquired at different stages of production, they help to identify fluid movement, pressure variations, compaction, and possible subsidence. Careful processing is necessary to mitigate non-repeatable noise while preserving genuine reservoir-related signals. Moreover, accurate imaging places these changes at their correct geological locations.

Within one of our teams dedicated to processing and imaging of 4D monitoring data, you will oversee:

Developing and testing novel signal-processing workflows to remove non-repeatable noise caused by 4D amplitude variations, positioning errors, and non-repeatable multiples between base and monitor datasets.

Running 4D imaging on a production-scale project and improving it by applying the process of least-squares migration to mitigate the impact of non-repeatable acquisition geometry.

Innovative demultiple solutions for land seismic data

Land demultiple is a well-known challenge for land seismic imaging. The difficulty is due to complex near-surface conditions, irregular topography, variable source and receiver coupling, and high noise levels. These factors make multiple scattering difficult to separate from primary reflections using conventional demultiple methods and can then alter the quality of land seismic imaging. At Viriden, we work on improving the effectiveness of land demultiple for production projects.

During this internship, you will be part of one of our teams dedicated to land seismic processing and imaging. You’ll be in charge of:

Testing and deploying innovative demultiple methods and workflows in collaboration with our R&D department

Setting up a robust production-scale workflow for a large ultra high-density land dataset with several hundred Terabytes of data

Qualifications

Last year of Master’s degree in any of the following disciplines: Geophysics, Mathematics, Physics, Astrophysics/Astronomy, Natural Sciences with a Physics specialization.

Enthusiastic attitude towards learning and passion for your subject

The technical ability to adapt your existing knowledge to a new field

Ability to effectively communicate technical concepts

Evidence of leadership, teamwork or customer service either from involvement in university societies/extracurricular activities, volunteering and/or work experience/internships

Benefits

Compensation depends on your internship contract.

Access to the company cafeteria at a subsidized rate.

Reimbursement of 50% of public transportation costs in Île‑de‑France (Navigo pass).

Access to company committee benefits (CSE advantages).

Health insurance, public transport partly covered.

Confidential employee assistance program to support our staff c