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分形几何已成功地应用于储层表行征 .分维是储层表征和随机建模的控制参数 .为了准确表征储层 ,必须精确地估计分维值 .本文介绍了利用测井数据计算储层分维值的三种方法 :变尺度分析法 (R/S分析 )、变异函数分析法、功率谱分析法 .研究表发现分维计算中对数据的分级处理实际上就是对数据进行灰色累加生成 .研究表明影响分维估计精度的主要因素有四种 :数据点数、数据概率分布、数据平稳性、无标度区 .研究认为 ,现有的 3种方法不能用于薄储层的分维计算 .结合实际提出了测井数据分维计算的合理流程 .
Fractal geometry has been successfully applied to reservoir table behavior. Fractal dimension is the control parameter of reservoir characterization and stochastic modeling. In order to accurately characterize the reservoir, the fractal dimension must be accurately estimated.This paper introduces the use of well data The three methods of layer-by-layer dimensioning are: variable-scale analysis (R / S), variogram analysis and power spectrum analysis. The table shows that the grading of data in the fractal dimension calculation is actually the gray summation The results show that there are four main factors affecting the accuracy of fractal dimension estimation: the number of data points, the probability distribution of data, the data stationarity, and the scale-free zone.The study shows that the existing three methods can not be used for the fractal dimension of thin reservoirs Calculation.According to the actual situation, a reasonable process of fractal dimension calculation of well logging data is put forward.