论文部分内容阅读
为探讨微生物采油(MEOR)过程涉及的各种机理,初步建立一维三相的微生物驱油数学模型,用以描述细菌和营养液在油藏中的传输以及细菌的繁殖,为MEOR领域工程设计及评估提供依据。该模型考虑流体中携带的细菌量和细菌沉积速率,用Gruesbeck和Collins给出的考虑细菌沉积的方程描述细菌繁殖及传输情况,体积流速与所通过的多孔介质的绝对渗透率有关;选择Langmuir方程描述营养物质的吸附现象,并考虑营养液在饱和多孔介质的水中的分散和渗滤;用Monod方程表示细菌生长率与营养液浓度的关系。将该数学模型的偏微分方程组转化成有限差分方程组,然后通过将非线性系数项线性化得到线性代数方程组,从而求得所需求的未知量的分布及变化。取一口现场生产井的生产资料进行数值模拟,结果表明,所建立的数学模型可以基本上反映微生物驱油的基本机理。根据模拟计算出的结果认为,当微生物注入地层后:①油井产量前期变化不大,后期明显增加;②含油饱和度在前30d变化率最大(但产量并未增加),此后变化率越来越小;③含水饱和度随时间的增加而增加。图2参12(王孝陵摘)
In order to explore various mechanisms involved in MEOR process, a mathematical model of one-dimensional and three-phase microbial flooding was established to describe the transport of bacteria and nutrient solution in reservoirs and the propagation of bacteria. And provide basis for assessment. The model takes into account the amount of bacteria carried in the fluid and the rate of bacterial deposition, describing the bacterial propagation and transmission using the bacterial sedimenting equation given by Gruesbeck and Collins. The volumetric flow rate is related to the absolute permeability of the porous medium through which the Langmuir equation Describe the adsorption phenomenon of nutrients and consider the dispersion and infiltration of nutrient solution in the water of saturated porous media. Use Monod equation to show the relationship between the growth rate of bacteria and nutrient solution concentration. The mathematical model of partial differential equations into finite difference equations, and then by linearizing the nonlinear coefficient of linear algebraic equations, so as to obtain the required unknowns distribution and changes. The production data of a field production well were numerically simulated. The results show that the mathematical model established can basically reflect the basic mechanism of microbial flooding. According to the results calculated by simulation, when microbes were injected into the formation, ① the oil production did not change much in the early stage and increased significantly in the late stage; ② the change rate of oil saturation was the highest in the first 30 days (but the output did not increase) Small; ③ water saturation increases with time. Figure 2 Reference 12 (Wang Xiaoling Abstract)