Enhancing energy efficiency and sustainability in offshore drilling through real-time multi-objective optimization: Considering lag effects and formation variability
Author
Listed:
Song, Yu
Song, Zehua
Yang, Jin
Wei, Longgui
Tang, Jizhou
Registered:
Abstract
Advancements in offshore drilling demand AI-driven solutions to handle unpredictable geological conditions and complex subsurface environments, ensuring reliability and sustainability. Traditional methods relying on historical well data lack accuracy and adaptability, while logging-while-drilling (LWD) causes delays that hinder timely deci
原文链接：https://ideas.repec.org/a/eee/reensy/v261y2025ics0951832025003394.html