Distributed seismic monitoring for geological carbon sequestration

This collaborative project seeks to develop and demonstrate distributed acoustic sensing (DAS) technology applied to geological carbon sequestration. Field tests will be performed at the Gundih CCS Pilot Project, Indonesia and the CaMi Field Research Station (FRS), Canada.

Distributed seismic monitoring for geological carbon sequestration


By combining DAS data acquired from buried fibre cables and borehole fibre cables during multi-source seismic excitation experiments, and passive long term monitoring of the injection process, DAS has the potential to reveal information that could be used for optimising the injection process and validating well and geological formation integrity. The combination of DAS data with complementary data from EM -wave, conventional seismic, and gravimetric methods may provide further enhanced capability. DAS is a low-cost technique that fits well into the portfolio of monitoring techniques needed to secure safe injection and containment of CO2.

A cOTDR interrogation unit with software for controlling the unit and recording data will be designed and made. The unit will be verified by comparison tests with conventional geophone technology(WP1).

WP2 will focus on the design of the microseismic and 3D VSP field experiments. The design work will take into account geological data and geophysical models. This ensures best experiment geometry at surface and depth for the buried fibre, as well as best configuration for the combination of acoustic source and the fibre cable.

Full stack seismic data from base and monitor surveys will be analysed. Difference techniques will be used to identify anomalies. VSP data from DAS systems will be used to calibrate seismic data and rock physics models for supercritical CO2 will be used to model and help the interpretation. Further will time-lapse AVO methods be tested.

Visualization techniques to enhanced seismic volumetric imaging will be provided and geo-modelling and flow simulations of the interpreted seismic data will be performed (WP3).




  • Period

    2016 - 2019

  • Client