用覆压岩心渗透率优化测井渗透率计算模型
发布时间：2019-02-25 14:49
【摘要】：渗透率是确定储层产能的关键指标之一,其准确性关系到储层产能评价的准确程度。测井数据相对试井资料更加丰富、成本低,可以有效获得井筒附近地带各小层的静态特征,为小层的产能评价提供参数支持。为了使测井渗透率的计算更为精确,以吉木萨尔致密油地区为例,在前人研究基础上,通过分析对比覆压孔渗实验数据,发现渗透率和有效覆压的无因次乘幂关系比一般认为的指数关系要好。用无因次乘幂关系模型预测地层真实岩心渗透率,进而来拟合测井参数与孔隙度、渗透率的关系,以达到优化测井渗透率计算模型的目的。该方法在吉木萨尔致密油地区的应用效果良好,比直接用地面岩心实验值的计算结果更为接近实际值。
[Abstract]:Permeability is one of the key indicators to determine reservoir productivity, and its accuracy is related to the accuracy of reservoir productivity evaluation. Compared with the well testing data, the logging data is more abundant and low cost, which can effectively obtain the static characteristics of the small layers near the wellbore, and provide parameter support for productivity evaluation of the small layers. In order to make the calculation of logging permeability more accurate, taking Jimusar tight oil area as an example, on the basis of previous studies, through the analysis and comparison of the experimental data of overpressure porous permeability, It is found that the dimensionless power relation between permeability and effective overpressure is better than the exponential relation. The dimensionless power relation model is used to predict the true core permeability of formation, and then the relationship between logging parameters, porosity and permeability is fitted, so as to optimize the calculation model of logging permeability. The application of this method in the tight oil area of Jimusar is good, and it is closer to the actual value than that calculated by using the experimental data of the surface core directly.
【作者单位】： 中国石油大学(北京)石油工程学院;长江大学地球物理与石油资源学院;中国石油集团测井有限公司油气评价中心;长江大学计算机科学学院;
【基金】：国家科技重大专项课题“低渗、特低渗油气储层相对高产富集区预测技术”(2011ZX05013-001) 长江大学“长江青年基金”项目“混合遗传算法在致密油试井解释软件自动拟合中的应用研究”(2015cqn53)
【分类号】：TE312;P631.81
本文编号：2430284
[Abstract]:Permeability is one of the key indicators to determine reservoir productivity, and its accuracy is related to the accuracy of reservoir productivity evaluation. Compared with the well testing data, the logging data is more abundant and low cost, which can effectively obtain the static characteristics of the small layers near the wellbore, and provide parameter support for productivity evaluation of the small layers. In order to make the calculation of logging permeability more accurate, taking Jimusar tight oil area as an example, on the basis of previous studies, through the analysis and comparison of the experimental data of overpressure porous permeability, It is found that the dimensionless power relation between permeability and effective overpressure is better than the exponential relation. The dimensionless power relation model is used to predict the true core permeability of formation, and then the relationship between logging parameters, porosity and permeability is fitted, so as to optimize the calculation model of logging permeability. The application of this method in the tight oil area of Jimusar is good, and it is closer to the actual value than that calculated by using the experimental data of the surface core directly.
【作者单位】： 中国石油大学(北京)石油工程学院;长江大学地球物理与石油资源学院;中国石油集团测井有限公司油气评价中心;长江大学计算机科学学院;
【基金】：国家科技重大专项课题“低渗、特低渗油气储层相对高产富集区预测技术”(2011ZX05013-001) 长江大学“长江青年基金”项目“混合遗传算法在致密油试井解释软件自动拟合中的应用研究”(2015cqn53)
【分类号】：TE312;P631.81
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