This study emphasizes effective sand management's crucial role in increasing hydrocarbon production as well as preventing equipment damage from sand production. Various sand management aspects are presented, including subsurface mechanisms and sand control techniques. Objectives include providing a comprehensive review of current techniques and emerging technologies for selecting suitable screens to control sand production. Moreover, a digital sensing method is presented for measuring sand production because, over time, the well initiates sand production. The key findings propose the utilization of a standalone screen with an autonomous inflow control device to effectively balance the pressure and adjust fluid flow for handling the sand-influx. The screen selection needs to be primarily based on the performance of the sand retention, with a final choice being based on the capacity of the flow. Moreover, by placing an acoustic leak monitoring system near the elbows allows for determining the threshold sand rate, facilitating proactive decision-making to prevent erosion. To address sand-related issues, remedial treatments like re-gravel packing can be implemented, alongside periodic wellbore cleanup operations. Proper removal of sand is necessary to increase the productivity of the oil/gas well. As foam is an effective suspension agent for transporting sand from the wellbore. Therefore, this review highlights the numerical method and factors contributing to the removal of sand with foam. Future research focuses on accurate sand prediction models, enhanced monitoring, and intelligent well completions. The study highlights the need for advancements in gravel consolidation nanotechnology, corrosion/erosion resistant materials, and cyclone advancement for sand handling. Computational fluid dynamics and artificial intelligence can be useful to quickly evaluate screen retention and permeability performance based on limited runs of sand retention testing. The study proposes further sand retention studies to replicate reservoir conditions and suggests for a CFD-DEM coupling study, considering the impact of different orifice diameters and constriction geometry on particle jamming. © 2024 Elsevier B.V.