Optimization of the mixing in a produced water storage tank with CFD

In recent years, produced water recycling and reuse has been one of the most discussed topics in water treatment in the oil and gas industry. As with conventional wastewater treatment, some important processes of produced water treatment include filtration, solid content settling, oxidation, disinfection and storage. As such, mixing efficiency is one of the important aspects when designing a treatment and recycling system. With the help of computational fluid dynamic (CFD) methods, the design and optimization of such systems becomes feasible by accurately simulating the hydraulic, mixing and settling characteristics of a flow field. Through CFD analysis and system configuration optimization, the efficiency of the treatment process can be improved, which results in a reduction in operation costs.
This study explores the use of CFD modeling to simulate the mixing process in one of the most common water containing devices in Permian Basins: above-ground storage tanks (AST). The first part of this study details how CFD, coupled with Design of Experiments methods (DOE) and post-processing automation can quickly understand the relative importance and cross-correlations of various design elements to the mixing quality. The second part of the study introduces an artificial intelligence algorithm to the workflow to carry out an optimization of the AST tank design.