Modelling and Optimization Techniques for Gas Hydrate Formation in Pipeline: A Review (Published)
In order to increase production and satisfy customer demands, engineers working in the oil and gas sectors are continuously faced with challenges pertaining to monitoring and improving pipeline flow processes. Considering the decrease in production costs resulting from obstructions caused by various flow assurance problems. In order to establish the simulation framework that has been widely used to improve hydrate formation prediction over the past few years, this paper provides guidance on justifiable hydrate formation prediction methodologies. This report evaluates papers on hydrate formation prediction and modeling from previous years using a systematic literature review process. This paper discusses a classification system for hydrate modeling techniques and their subcategories, including kinetic techniques, thermodynamic techniques, machine learning techniques, and simulation techniques. According to the results, computational and numerical methods are used because of the sustainable formation forecast of the hydrate scheme, even if a rising pattern is seen in the usage of simulation frameworks in conjunction with artificial intelligence approaches. Due to their propensity to handle ambiguity and uncertain data sets more effectively than numerical techniques, simulation and integrated frameworks are in high demand. However, numerical methods do a good job of handling deterministic data sets. Thus, this review helps researchers identify current flaws arising from flow optimization modeling. Finally, current shortcomings in flow optimization modeling were taken into consideration, opening up new research directions.
Keywords: Hydrate, Literature Review, Modelling, Simulation, optimization