Automated and integrated well emission planning, monitoring and reporting

Offentlig prosjektsammendrag

Operators face challenges in effectively identifying, validating, and implementing Emissions Reduction Initiatives (ERIs) that align with impact, ROI, and operational considerations. Operators can't yet fully understand their emission baseline or measure and track emission effects during planning or operational phases throughout the lifecycle of a project. Regulators and investors require emission disclosures. Reporting sustainable emissions reductions is especially challenging in complex field operations. In the rapidly evolving emission management sector, there's an urgent need to harness digitalization, ensuring an open, automated, unified, and integrated emissions management workflow. Stepwise has developed a unified platform for sustainable emissions reduction and monitoring across operations and management. In the first iteration, the software is an application that combines data from the well construction process to enable planning, monitoring, reporting, and improving energy efficiency and emission reduction. To further develop the software and service there is a need to invest in research and development in how to achieve an increased flow of data from the digital ecosystem. In addition, integration and automation of data management will enable new insight into how to systematically apply and improve emission reduction initiatives. As big data becomes available for analysis, there is an opportunity to apply new methodologies through artificial intelligence and machine learning. This will require research into how to set up the models, how to efficiently train them, and how to ensure a usable result. Although the result is unpredictable, we believe a more sophisticated method of analysis could help the user solve complex problems in a simpler way. Examples could be determining the best way to recommend patterns for the use of electrical loads, or normalizing the weather impact on energy performance.