We developed an AI-assisted P&A planning tool that optimises start time and sequence for every scenario. Using AI-assistance and a detailed economic model (covering capital, operating, and abandonment costs and tax treatment), the tool explored the trade-offs between maximising value and minimising cost.
The platform made scenarios transparent and consistent: start early → lower cost, start late → higher value. In all cases, the AI ensured unbiased comparison by applying the same operational and financial rules.
The interactive interface gave CNOOC a clear view of options: stacked production and cost charts, P&A sequences, slot overviews, and value vs. cost scatter plots. Operational constraints - such as not being able to P&A adjacent slots consecutively - were also factored in.
This allowed management to move from conflicting opinions to fact-based choices, with clear visibility of trade-offs.