Back to top
????????????????????????????????????????????????????????????????????????

Contribution of passive seismic to the study of seismic hazard fluctuations in deep underground mines

  • Doctorate
  • Fall
  • Summer
  • With scholarship

Project description

The overall objective of the project is to increase the level of understanding of the link between mining seismicity and the evolution of the stress field within the rock masses subjected to mining. It is known, from laboratory experiments, that stress changes in a rockmass influence the propagation speed of seismic waves. The study of changes in seismic velocity thus makes it possible to infer the stress state. In situ mapping of speed changes is possible through the use of seismic monitoring networks typically used in mines. The INRS team previously developed a method that can track velocity variations in real-time from seismic records, but this method needs to be validated with substantial datasets that will allow its robustness to be assessed. One of the specific objectives of this project is to conduct this validation using datasets from two separate mines. The application of the methodology with these datasets will ultimately improve our understanding of the impact of an exploitation sequence on stress redistribution and the resulting seismicity. A second specific objective of the project is to optimize and accelerate the methodology by incorporating recent computational methods based on deep learning.

Start date

Summer or fall 2025

Research supervision

Bernard Giroux, professor, NRS

Study program

PhD in Earth sciences (program details in French only, or taylor-made program), Eau Terre Environnement Research Centre, INRS

Funding

Minimal annual doctoral scholarship of $27,000. This project is funded by the Fonds de recherche du Québec (FRQ).

Required qualifications

  • MSc degree in geophysics, geological engineering, mining engineering, engineering physics, or in a field related to the project objectives.
  • Skills in seismic data processing and analysis and with multivariate statistical and machine learning methods.
  • Knowledge of a programming language applied to data science (e.g. Python) is a strong asset.
  • Field experience in underground mines will be considered.
  • A good record of scientific publications in peer-reviewed journals is an additional asset.
  • Skills in scientific communication, both written and oral, are sought.

Equity, diversity and inclusion

Professor Giroux adheres to the principles of equity, diversity and inclusion in the recruitment and training of highly qualified personnel. Applications from groups that are underrepresented in the academic research community in the field of science and engineering are strongly encouraged. With equal competence and level of experience, the advantage will be given to the candidate from an under-represented group.

How to apply

Please use the form below to send your application including the following documents in PDF: 1) a cover letter, 2) the names and emails of three references, 3) a full CV and 4) university transcripts.

Published - Bernard Giroux ETE - Contribution of passive seismic to the study of seismic hazard fluctuations in deep underground mines

Project title : Contribution of passive seismic to the study of seismic hazard fluctuations in deep underground mines

A cover letter *

Maximum file size: 2MB

Names and emails of three references *

Maximum file size: 2MB

Curriculum vitæ (CV) *

Maximum file size: 2MB

University transcripts *

Maximum file size: 2MB

How did you hear about this study project?