“…(1) Knowledge transfer from fossil fuel industry and sharing of data publicly (e.g., Erdlac, 2006;Bu et al, 2012;Groff et al, 2016): This should include the re-skilling and repurposing/ deployment of highly skilled and experienced oil and gas professionals, especially engineers and geologists; (2) Knowledge transfer from active decarbonisation plants around the world to allow optimization and sustainable implementation of technologies in other countries: Examples include storing CO 2 in basalt in the CarbFix Pilot Project in Iceland (Matter et al, 2009), geothermal energy plants such as Reykjanes, Krafla (Friðleifsson et al, 2015;Friðleifsson et al, 2019) or Larderello, Italy (Batini et al, 2003), and ATES at Eindhoven University of Technology in Netherlands (Kallesøe and Vangkilde-Pedersen, 2019); (3) Short and long term laboratory experiments: For instance, scaling experiments (e.g., Stáhl et al, 2000), porositypermeability measurements on fault rocks (e.g., Michie et al, 2020a;Michie et al, 2020b) coupled with in-depth microstructural studies (e.g., Kaminskaite et al, 2019;Kaminskaite et al, 2020); (4) Experiments at test sites, such as the UKGEOS coal mine geothermal test site in Glasgow, nuclear waste disposal sites in Olkiluoto, Finland (Siren, 2015), SKB in Sweden (Rosborg and Werme, 2008), Mont-Terri in Switzerland (Tsang et al, 2012), Mol-Dessel in Belgium (Desbois et al, 2010), and Bure and Tournemire in France (Armand et al, 2007;Matray et al, 2007). ( 5) Study of natural geological systems for long term behaviour and comparisons of predictions based on laboratory experiments coupled with numerical simulations: For instance, outcrops and/or core plugs taken out from natural geothermal systems where hydrothermal fluids have been flowing over long timescales (>10 2 -10 4 yrs) or fossil geothermal systems provide us with the examples of how hydrothermal fluids have affected the rocks on a large scale and how long the system has sustained the flow for (e.g., Major et al, 2018); (6) Numerical modelling using sophisticated and continuously improving codes, e.g.,: Microstructural modelling using hybrid approaches e.g., ELLE (Vass et al, 2014;Piazolo et al, 2019;Koehn et al, 2020) or codes f...…”