فهرست نشریات علمی دسترسی آزاد ایران

Drill cuttings transport is a critical process in oil and gas drilling operations, directly affecting efficiency, safety, and environmental compliance. This review synthesizes recent advances in multiphase flow technologies combining computational fluid dynamics (CFD), artificial intelligence (AI), robotics, and sustainable materials with a focus on their practical field implications. Comparative analysis of field trials and simulations reveals that real-time monitoring systems can cut non-productive time (NPT) by 25–30%, while CFD-enhanced models improve predictive accuracy by 15–20%, enabling better control of annular velocity and cuttings suspension in horizontal and HPHT wells. Biodegradable and nano-enhanced drilling fluids reduce ecological footprint by 35–40% and lower waste disposal costs, providing economically viable solutions for environmentally sensitive projects. Robotics-based handling systems improve worker safety by up to 50%, allowing continuous, unmanned operation in offshore environments.Despite these gains, challenges persist in scaling advanced models to field operations and balancing computational cost with on-site feasibility. The study recommends integrating AI-driven control systems with CFD–DEM simulations and adopting modular robotic platforms for automated solids management. By linking theoretical modeling with field-validated practices, this review provides a practical roadmap for implementing sustainable, efficient, and data-driven drill cuttings transport systems in the oil and gas industry.