WP4 Advanced monitoring technologies

A bank of monitors displaying abstract image
credit - Panuwat Sikham

Our project consortium brings together world-leading expertise in the fields of CO2 storage and shale gas monitoring. We will draw on this expertise to develop new technologies that will improve the detection and monitoring of environmental impacts for geoenergy projects.

The research team will develop state-of-the-art sensors to monitor flow leaks and geomechanical stresses. New technologies that will increase the range of detection for toxic quantities that fall below the detection limit of current sensors will also be tested.

The results will enable both large-scale and remote monitoring of shale gas and CCS sites, providing a flexible portfolio of techniques and sensors for project developers and operators.


D4.2 Report on best practice methods for monitoring induced and triggered seismicity

Monitoring best practice

Best practice for monitoring induced and triggered seismicity depends to a high degree on local conditions, but in all cases establishing a high-quality pre-operational baseline is recommended. During operations a local network should be deployed for monitoring and mitigation purposes. If the Traffic Light System is used as a mitigation tool, it is important that the monitoring network has a detection level way below the acceptable level of microseismicty as determined by authorities. The monitoring network at Stenlille, in operation since summer 2018, has not detected any events within the Stenlille gas storage facility, but did detect other events further away: This makes it possible to estimate the detection level within the gas storage area.


A Combined approach to monitor gas mixtures, containing CO2, in geological systems: aquifers

Armand Karimi, IFPEN   ABSTRACT

Multiphase multi-rate mass transfer model for anomalous transport in fractured and heterogeneous media

Matteo Icardi, University of Nottingham  ABSTRACT


Macroscopic models for heterogeneous reactions in porous mediaFederico Municchi, Matteo Icardi, University of Nottingham

Federico Municchi, Matteo Icardi, University of Nottingham  ABSTRACT

Generalised Multi-Rate Models for conjugate transfer in heterogeneous materials

Federico Municchi, Matteo Icardi, University of Nottingham  ABSTRACT