Optimization of supercritical fluid extraction from waste oil based mud using response surface methodology and kinetic model
摘要
This study presents an optimization of the supercritical carbon dioxide extraction process for the recovery of hydrocarbon fractions from oil-based drilling mud waste, utilizing the Box-Behnken design of response surface methodology. The study identifies the optimal process parameters of extraction pressure, temperature, and duration that maximize extraction efficiency. Under the optimal conditions of 14 MPa pressure, 45 °C temperature, and 60 min of extraction time, an extraction efficiency of 55.46% was achieved. Furthermore, by leveraging the mass transfer mechanism in stepwise extraction, a kinetic model was formulated to elucidate the extraction process, fitting the mass transfer coefficient of hydrocarbons in oil-based mud waste within supercritical CO2. A quadratic polynomial regression model was established through multiple regression fitting, with an R2 value 0.98229 was determined when comparing calculated model values with experimental data under the process parameters. This indicates a strong fit to the experimental data and its potential for effectively simulating real extraction processes. The developed model serves as a theoretical framework for the rational design and parameter optimization of devices for the environmentally sustainable management of oil-based mud waste. The study's findings have significant implications for the adoption of sustainable waste management practices and the enhancement of industrial process efficiency.