Act on Offshore Monitoring (ACTOM)


ACTOM will develop the capability for cost-effective monitoring of offshore carbon storage projects as part of Carbon Capture Utilisation and Storage (CCUS), aligning industrial, societal and regulative expectations with technological capabilities and limitations. 

 

At the core of the project is a web based pre-operational tool-kit to deliver new abilities to design a site specific marine monitoring programme that will ultimately:

  • enable regulators to quantifiably assess that a proposed monitoring strategy delivers an acceptable standard of assurance.
  • enable operators to properly plan, cost and adapt monitoring strategies to site specific circumstances.
  • enable regulators and operators to communicate to the effectiveness of proposed monitoring strategies to enable informed societal consensus in view of marine spatial planning.
 

Responsible Research and Innovation (RRI) is an approach to anticipate and assess implications and expectations of new technologies on society, a framework increasingly being used in marine environmental studies and in biotechnology and innovation. We use this framework CCUS, considering the technology in view of the UN Sustainable Development Goals. In an extension of this, potential legal conflicts between storage projects or other uses of the seas, will be addressed in view of marine spatial planning.

By viewing CCUS and offshore storage in light of the Sustainable Development Goals and in the RRI framework, the project will ease communication of the benefits of the technology whilst addressing the uncertainties and risks in a coherent way.

Impact

ACTOM will enable stakeholders to access and interpret a range of software tools that will provide optimized and cost-benefit quantified monitoring and environmental impact assessment for offshore geological carbon storage.


Key information

Funder: BEIS, ERA-ACT

Project start date: September 2019

Project end date: August 2022

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Contact

Jerry Blackford
Head of Science - Marine Ecosystems Models & Predictions

Other participants

Darren Snee, Dr Marius Dewar