中国石油大学学报（自然科学版）Issue(6)：113-120,8.DOI:10.3969/j.issn.1673-5005.2014.06.017
低渗透油藏多段塞微生物驱开发指标预测
Development index prediction of multi-slug microbial flooding in low permeability reservoir
摘要
Abstract
Different reservoir conditions cause the different effect of microbial enhanced recovery and its adaptability to the reservoir, the optimized injection parameters predicting the development index are needed. On the basis of frontal advance theory and experienced regression method using experiment data, plus considering some objective factors, such as the oil vis-cosity reduction by the microorganism and oil-water relative permeability influence, a prediction model was established. This model can predict the development index for microbial flooding through the combination of oil well productivity and variation of water cut. Microbial flooding experiments show that the multi-slug can improve the recovery by 9. 24% compared with sin-gle-slug. Also the water breakthrough time of multi-slug microbial flooding can be extended by 40. 10% -40. 14% , and the water-free oil recovery can be increased by 18. 44% . This model can predict almost exactly the dynamic oil production, liq-uid production and water cut of the microbial stimulation well. The max relative forecasting error of single well is less than 10% , the total error of the block is less than 3% , and the forecasting error of water cut is only 0. 25% . In the field experi-ment, five slugs are adopted to inject the profile control microorganism and oil displacement microorganism alternately. In the test block the increased rate of water cut decreases from 8. 1% to -4. 3% , and the composite decline rate decreases from 13. 3% to 4. 4% , indicating the effect of water control and oil production stabilization is significant.关键词
低渗透油藏/多段塞/微生物驱/开发指标/矿场应用/含水率变化规律/指数递减Key words
low permeability reservoir/multi-slug injection/microbial flooding/development index/field application/water cut variation rule/exponential decline分类
能源科技引用本文复制引用
程明明,夏添,雷光伦,高建波,李保生..低渗透油藏多段塞微生物驱开发指标预测[J].中国石油大学学报（自然科学版）,2014,(6):113-120,8.基金项目
中国石油大学(华东)研究生创新工程项目(CX2013009) （华东）
