Rising energy demands, environmental pressures and economical challenges demand for disruptive technologies that can drastically reduce the cost of manufacturing and operations of LNG plants in future. Additive manufacturing commonly known as 3D printing (AM) in conjunction with parallel advances in computational modelling has opened a new avenue for a radical shift in the thinking of design and operation of LNG plants. However, the adaptability of the 3D printing in the re-designing the LNG plant equipment has been limited or nearly non-existent due to the fact that there is no theory or models to help in selecting the optimal candidates out of the rather limitless fabrications that are possible using AM. In this work, we present an example of an optimum strategy for application of AM to an important unit operation in LNG process, the packed column. Packed columns use a packing material through which the gas phase passes, and comes into contact with the liquid phase flowing over the packing, typically performing mass transfer. One of the most common packing used in LNG process is structured packing. Structured packing are stacks of corrugated sheets, typically inclined between 40-70° from the plane. In order to minimize the iterative fashion of redesigning these packing we applied AM to manufacture the packing on multiple scales with emphasis on key features at that particular scale. The reproduced geometries were tested and modelled using computational fluid dynamics (CFD) to elucidate the governing hydrodynamic characteristics. The process presented here not only minimizes the costly iterative experimental process, but also provides ability to understand the governing physics of the system at multiscale. In future, this method will be applied to other unit operations such as heat exchangers, phase operators and tray columns to improve the overall efficiency of LNG process.