论文详情
渗透率是产能预测中一个重要的参数，其计算受多种因素的影响。非均质性强的地层，岩性的变化对渗透率的影响较大。该文研究了利用测井曲线将岩性对渗透率的影响进行量化，将自然伽马值应用到渗透率的计算中，找到更合理、更准确的求取渗透率的方法。在合理求得渗透率的基础上，该文利用渗透率、含气饱和度等参数对产能预测方法进行了优化和改进，取得了一定的效果。研究结果表明，自然伽马与孔隙度结合能提高计算渗透率的精度，综合考虑含气饱和度和渗透率的综合物性参数与产能的相关性更高，预测的产能更准确。该研究对于类似地区产能准确预测可提供参考和借鉴。
Permeability is the key parameter in productivity prediction. The calculation of permeability is affected by many factors. The lithologic change influences the permeability of strata with strong heterogeneity. In this paper, the influence of lithology on permeability is quantified by logging curve, and the natural gamma value is applied to calculate permeability, so as to find a more reasonable and accurate method. On the basis of reasonably obtaining permeability, this paper optimizes and improves the productivity prediction method by using parameters such as permeability and gas saturation, and has achieved good effects. The results show that the combination of natural gamma and porosity can improve the accuracy of permeability calculation. The comprehensive physical parameter considering gas saturation and permeability has higher correlation with productivity, and the predicted productivity is more accurate. This study can provide a reference for accurate prediction of production capacity in similar areas.