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应用地质统计学和分形几何学，提出了一种井间砂体的预测方法，该方法利用克立格插值场对储层进行大尺度的趋势估计，储层小尺度的变异特征则利用随机分形场来刻划。然后对生成的二维克立格插值场和随机分形场进行叠加处理得到预测结果，实例研究表明，对于砂岩储层，应用该方法进行井间砂体分布模拟可以定量判断井间砂体分布，误差分析表明模拟结果具有较高的可信度。
Based on the geostatistics and fractal geometry, a method of predicting cross-well sand bodies is proposed. The Kriging interpolation field is used to estimate the trend of large-scale reservoirs. The small-scale variation features of reservoirs are analyzed by random fractal Field to score. Then, the two-dimensional Kriging interpolation field generated and the random fractal field are superimposed to obtain the prediction results. The case study shows that for the sandstone reservoir, the application of this method to simulate wellbore distribution can quantitatively determine the distribution of sand bodies between wells, Error analysis shows that the simulation results have high credibility.