Optimalisering av energibruk og utslippsreduksjon med maskinlæring på boreplattformer

Offentlig prosjektsammendrag

This project aims to develop an advanced machine learning system to optimize energy consumption and reduce emissions on drilling rigs. The background stems from the need for energy efficiency and sustainability in the energy sector. Our main goal is to create a system that identifies and analyzes electrical load patterns to enhance equipment usage and energy efficiency. We face the challenge of managing and distinguishing a wide range of signals to pinpoint unique electrical loads. Our approach includes data identification, machine learning strategy development, model testing, and ensuring scalability. Specialists in AI/ML will develop algorithms for automatic control and optimization, leading to significant advancements in energy management and emission reduction.