Additionally, Storage Resources Management System (SRMS)-aligned storage estimates are generated, and auditable risk registers are produced for lender diligence. The result is not just better maps, but faster decisions, compressing time to final investment decision (FID) from years to roughly six to 18 months. We have seen this playbook succeed before. Northern Lights (see Figure 1 ) and Gorgon did not scale CCS through bespoke projects, but by aggregating emitters, standardising subsurface work, and committing once storage certainty was sufficient (Northern Lights, 2026; Mei, et al., 2025) . ASEAN now sits at a similar inflection point. Vietnam’s cement corridors lie roughly 250 km from storage-ready geology, close enough to keep pipeline transport near $10/t at a multi-Mtpa scale, based on Intergovernmental Panel on Climate Change (IPCC) and International Energy Agency (IEA) cost curves. That proximity is not incidental; it is the difference between CCS as a policy aspiration and CCS as financeable infrastructure. This same source-to-storage pairing shows up across the wider region. In Malaysia, most cement and power assets on the Peninsula sit within roughly 150-250 km of prospective storage in the Malay and Penyu basins. These assets are already connected to ports and gas infrastructure, making ship-based or
appraisal programmes that include step-rate injectivity testing, caprock stress-path analysis, baseline 3D seismic, and corridor-level MMV design rather than duplicating those efforts plant by plant. From mapping to action: Frameworks and global lessons This is the workflow enabled by bMark CCS. Storage sites are screened and ranked on capacity, injectivity, caprock quality, and proximity. Sources are then matched to sinks (for example, Vietnam’s cement corridors to Block B and Song Hong, while Indonesia’s clusters are linked to the Java Sea and Sunda-Asri). Figure 1 Onshore storage tanks: Northern lights project
Figure 2 bMark CCS database, emitters, infrastructure, and subsurface data
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