Modeling of Steam-Foam Flooding in Mecca Lease Field in Kern River California

This dataset has been used to present modeling of hybrid thermal recovery in a heavy oil reservoir using steam-foam method. The main mechanism is to control the mobility of steam and deliver proper amount of heat to reservoir in order to reduce oil viscosity. The results illustrated that a considerable increase in oil recovery is obtained when steam-foam is used. It is also observed that foam parameters, which was used in modeling, affects oil recovery, reservoir temperature, pressure, and gas saturation. Optimized foam parameters were determined using oil recovery, reservoir temperature, and average reservoir pressure. Finally, simulations revealed that field and simulation results were in good agreement with the field data, and that steam-foam oil recovery method has the potential to become a promising oil recovery method for heavy oil reservoirs.

本数据集已被用于开展稠油油藏（heavy oil reservoir）蒸汽-泡沫（steam-foam）复合热采的建模研究。其核心作用机理为调控蒸汽流度，向油藏输送适量热量以降低原油黏度。研究结果表明，采用蒸汽-泡沫复合驱技术可显著提升原油采收率。同时研究发现，建模过程中所用的泡沫参数会对原油采收率、油藏温度、压力及气体饱和度产生影响。本研究以原油采收率、油藏温度及油藏平均压力为优化依据，确定了最优泡沫参数。最终模拟结果显示，模拟数据与现场实测数据吻合度良好，蒸汽-泡沫热采技术具备成为稠油油藏极具前景的高效采油方法的潜力。