Mechanisms and influencing factors of the oil bank in fire flooding

• Main Authors: Qiu LI, Leihao YI, Junshi TANG, Wenlong GUAN, Youwei JIANG, Haoran ZHENG, Jiuning ZHOU, Xiaochun WANG
• Format: Article
• Language: English
• Published: KeAi Communications Co., Ltd. 2018-06-01
• Series: Petroleum Exploration and Development
• Online Access: http://www.sciencedirect.com/science/article/pii/S1876380418300545

Abstract: Based on the systematic summary of current research on oil bank, the definition of oil bank in the process of fire flooding and its quantitative indices were proposed; and a new one-dimensional positive dry-fire flooding model considering temperature gradient was established based on the steady flow theory of gas and liquid phases. Single factor analysis and orthogonal experiments were adopted to verify the reliability and reveal the formation mechanisms and the controlling factors of the oil bank. Then the optimal conditions for the oil bank to form were discussed. The study results show the formation of the oil bank is controlled by 3 factors: (1) Oil bank would come into being within a certain temperature interval and above a critical value of temperature gradient (absolute value), with temperature too high or too low and temperature gradient absolute value lower than the critical value, the oil bank couldn't form. (2) For fire flooding process in heavy oil reservoirs, the viscosity of oil influences the width of oil bank and the speed at which oil bank forms; the lower the oil viscosity is, the wider the oil bank is and the faster the oil bank forms. (3) Oil saturation could affect the developing temperature and speed of oil bank. The favorable temperature at which oil bank develops gets lower and the accumulating speed of oil gets faster when the oil saturation is higher. By orthogonal experiments with the model, the optimal combinations of reservoir conditions for forming oil bank during fire flooding in heavy oil reservoirs can be worked out. Key words: fire flooding heavy oil, oil bank, flow model, single factor analysis, controlling factor, orthogonal experiment