Delphi: dynamic simulation application for intelligent co₂ emission prediction in scope 1 monitoring for small-scale facility planning

The oil and gas industry remains one of the largest contributors to global CO₂ emissions, accounting for nearly 15% of energy-related emissions (IEA, 2023). In Malaysia, small-to-mid-scale facilities such as modular platforms, crude refineries, and satellite production units face increasing pressure to quantify and mitigate their Scope 1 emissions from combustion and process equipment. Current estimation methods are mostly retrospective, relying on post-operational data, which limits their usefulness during the design and planning phases. To address this limitation, this project introduces a digital simulation platform that enables early-stage emission assessment and efficiency analysis for small-scale facility configurations. Delphi, a web-based application, is a system that allows users to create and configure, save, and load multiple facility projects. It integrates a 3D interactive layout configuration tool, enabling users to define equipment while automatically computing the total crude throughput, power generation, and corresponding scope 1 CO₂ emissions, thus evaluating the efficiency of facilities configuration quantitatively and analytically, as well as the integration of AI analysis. On the ground factor, the emission estimation engine incorporates standardized methodologies from the IPCC (2006), US EPA (2023), API Compendium (2009), and IOGP Report 446 (2022) to ensure industrial accuracy and credibility.