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Poor cuttings transport in deviated wells limit drill rate, induce excessive torque and drag, or in severe cases result in a stuck pipe. This paper presents a generalized data-driven model that utilizes statistical techniques for optimizing hole cleaning efficiency under different drilling conditions in deviated and extended reach wells. For this purpose, the model is constructed based on three approaches including extensive experiments conducted in our flow loop of 5-m horizontal length (4.5in. × 2in.), a validated Computational Fluid Dynamics (CFD) model was developed, and experimental data were collected from the literature to develop a reliable predictive tool that can estimate cuttings concentration in deviated wells. The developed model utilized a non-linear regression method, and was trained with 75% of the gathered data and validated with the remaining 25% to ensure the capability of the proposed model for …