Analysis and optimization of circulating cooling technology of super heavy oil steam spray

Abstract

Abstract The circulating cooling technology of super heavy oil steam spray is crucial for efficient oil vapor (gas) separation in closed transfer station processes and is a key factor in energy consumption within the gathering and transportation system. Therefore, the analysis and optimization of this technology are particularly important. This study analyzed the process of super heavy oil steam spray circulating cooling technology using ASPENPLUS and established a nonlinear integer optimization model to minimize electricity consumption, utilizing Python for programming and the ipopt solver for resolution. It was found that the temperature and flow rate of the steam entering the spray tower affect the flow rate of the exported condensate water, thereby impacting energy consumption. Optimizing the number of operational air coolers can achieve the purpose of energy saving.