Experimental and Numerical Evaluation of Enzyme-Assisted Hot Waterflooding Performance for Heavy Oil Reservoirs

Abstract

In this study, a systematical technique has been developed to experimentally and numerically evaluate enzyme-assisted hot waterflooding performance in a heavy oil reservoir for the first time. Experimentally, an enzyme solution (i.e., a protein-based liquid catalyst) is prepared and used to displace heavy oil in sandpacked experiments at elevated temperatures, during which pressures and fluid productions are continuously monitored and measured. Numerically, reservoir simulation is performed to reproduce the experimental measurements and then extended to evaluate the performance in a targeted heavy oil reservoir. Once history matching on the experimental measurements is completed, such a calibrated model is then employed to optimize enzyme concentration, temperature, and aging time, respectively. It is found from the displacement experiments that temperature imposes a significant impact on heavy oil recovery with its appropriate range of 45°C-55°C, and enzyme positively contributes to heavy oil recovery for most scenarios. Compared to the traditional waterflooding mechanisms, the enzyme-assisted hot waterflooding process shows its considerable potential in heavy oil recovery by means of reducing oil viscosity, altering wettability, and reducing interfacial tension.

Mathematical Models for Oil Production Optimization in Fuzzy Environments: Well Stock Forecasting and Regulation

“…The majority of today's industrial plants are generally poorly equipped to build quality refining processes, with the necessary flow rates and efficiencies provided. In this context, the development of modern, effective methods for optimising oil production processes in a fuzzy environment in forecasting and regulating the well stock is essential in ensuring highquality management of oil production and refining processes, which largely determines the effectiveness of the functioning of numerous oil-producing and refining enterprises in the country [11][12][13][14][15].…”