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The offshore drilling industry is crucial in extracting oil and gas from deep-sea environments, where the drilling column endures tension, torsion, hydrodynamic forces, among other effects. Assessing its structural integrity and operational efficiency often requires high-fidelity, computationally expensive simulations. This paper proposes (1) a comprehensive finite element nonlinear drill string dynamic model that incorporates a more complete set of physical features than previous studies, (2) a new strategy to implement a coupled axial-torsional bit-rock interaction, and (3) a methodology to apply the Dynamic Mode Decomposition (DMD) to develop reduced-order surrogate models. The proposed drill string model accounts for platform displacement, rotary control at the top drive, waves and current forces, riserless configuration, borehole contact, directional drilling, nonlinear beam axial-lateral-torsional vibrations, and nonlinear axial-torsional bit-rock interaction. Its dynamic response is in agreement with field data (torque, force and angular speed at the bit). Snapshots of the dynamic response are gathered, a high-order DMD is used, and the most influential modes are selected to preserve the original system’s essential dynamics and physical phenomena, significantly reducing computational cost. The reduced-order model can reconstruct the original signal and predict system behavior beyond the training set, demonstrating faithful representation despite dimensional reduction. Results confirm that the proposed DMD strategy is an effective data-driven tool for constructing Reduced Order Models (ROMs) in offshore drilling applications, enabling substantial time savings. This approach offers a potential practical, real-time analysis and decision-making pathway in complex offshore operations.
Kort et al. (Mon,) studied this question.