基于微观孔隙结构分形特征的定量储层分类与评价

Quantitative Classification and Evaluation of Reservoirs Based on Fractal Features of Micro-pore Structures

针对基于微观孔隙结构特征进行储层分类与评价常规方法的局限性,利用压汞资料,采用MIFA法计算了储层孔隙结构的分形维数,并通过统计分析分形维数与微观孔隙结构参数之间的关系,明确了分形维数的地质意义,认为储层孔隙结构分形维数是储层孔隙结构复杂程度的综合定量表征,分形维数愈小,储层微观非均质性愈弱,储层质量愈好。在此基础上将分形维数应用于储层分类与评价中表明储层具有很好的分区性,并依据分形维数的大小将储层定量地划分为优质储层、较好储层、差储层和无效储层,实现了复杂储层的定量分类与评价。

In allusion to the limitation of conventional methods for classification and evaluation of reservoirs based on micro-pore structures,the fractal dimension of reservoir pore structure was calculated by using MIFA method based on mercury injection data.Through statistic analysis of the relationship between fractal dimension and micro-pore structure parameters,it was clarified that the geological significance of the fractal dimension was the integrated quantitative characterization of complex degree of reservoir pore structures,the smaller the fractal dimension is,the less serious the heterogeneity of the reservoir is,the higher the reservoir quality would be.By applying the fractal dimension to the classification and evaluation of reservoirs,it indicates that there are good classification features of reservoirs,the reservoirs can be divided into high-quality reservoir,better reservoir,poor reservoir and ineffective reservoir according to the magnitude of the fractal dimension,by which the quantitative classification and evaluation of the complex reservoir are realized.