Integration of Digital Technologies and Environmentally Sustainable Solutions for Optimizing Hydrocarbon Transportation

ENG: The transportation of hydrocarbons faces significant challenges in efficiency, environmental impact, and safety, necessitating innovative solutions to align with global sustainability goals. This study proposes a novel framework integrating digital technologies – digital twins, artificial intelligence, and Internet of Things – with sustainable practices, including energy-efficient pipeline designs and carbon capture technologies, to optimize hydrocarbon transportation. Through a case study on a regional pipeline network, the framework demonstrated substantial improvements, achieving up to 25% reduction in energy consumption, 24% decrease in CO2 emissions, and 60% lower safety incident risks compared to traditional methods. The methodology combines real-time monitoring, predictive analytics, and eco-friendly engineering to enhance operational performance and environmental stewardship. Results indicate the framework’s feasibility and scalability, though challenges such as high initial costs and integration barriers require strategic solutions. The findings offer practical recommendations for industry adoption and policy support, contributing to a sustainable energy transition. Future research directions include advanced artificial intelligence algorithms, next-generation materials, and broader applications in energy transport.