Lighting up dark fibre for seismic imaging

Schematic figure of a DAS deployment for subsurface geophysical monitoring, adapted from Rodriguez Tribaldos (2020).

This Future Fellowship project will advance cutting-edge DAS technology and big data processing to develop unprecedented high-resolution images of the Earth’s subsurface, detect micro-seismicity, and thereby relate geological observations to Earth processes.

High-resolution seismic images of the subsurface are the best proxy for inferring geological structures and processes in the interior of the Earth. Using traditional techniques and instrumentation, both in Australia and worldwide, seismologists are able to detect changes in the Earth’s structure using what are effectively spot measurements and interpolating the data between distant locations, which are often kilometres, if not 10s or 100s of kilometres apart. This results in significant gaps between these seismic images and geologic maps or geological samples. In contrast, seismic images from large numbers of measurements, or “large-N”, array data from DAS will answer questions about Earth’s structure on a ~1-10 metre scale rather than >~2-10 kilometres from the most densely spaced passive seismic experiments in Australia. The technology will begin to bridge the existing spatial disparities between seismic images of the Earth and dense geological and geochemical sampling of Earth.

I am seeking two PhD students and Honours students to work with a team of researchers on DAS applications in observational seismology.  We will deploy a Silixa iDAS unit in multiple field locations in Australia and New Zealand in 2022-2026.  Please contact Prof. Miller for more information.