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An Innovative Method to Evaluate Formation Pore Structure Using NMR Logging Data

机译:使用NMR测井数据评估地层孔隙结构的创新方法

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Formation pore structure generally includes pore geometry, volume, connectivity and other properties of pore body and pore throat in the reservoir formation. Acquiring continuous pore structure information along the depth is very important to the identification of good quality reservoir and the evaluation of reservoir petrophysical or geological properties. It is well known that NMR T2 distribution reflects the distribution of different pore sizes very well under certain conditions. Other parameters such as permeability and total porosity can also be derived from T2 distribution. However, it is a relatively difficult problem in the exploration of the Ordos Basin of China as to how to establish a valid standard for identifying the quality and the type of pore structure as a function of depth using NMR logging data.We collect a series of core samples typical of the pore structures found in the Ordos Basin and use mercury injection capillary pressure curve as the standard to identify the quality of pore structure. Through an integrated analysis of their capillary pressure curves, T2 distribution, and the cumulative porosity curves of T2 distribution, we find that the key factor controlling the quality of core pore structure is not porosity but the percentage of pore components within a specific range of pore sizes in the whole pore system. Based on this finding we summarize the behavior of our experimental data and develop a method of utilizing T2 distribution data to evaluate the pore structure. We extract three parameters from the T2 distribution, each of which represents the percentage of one kind of pore components within a specific range of pore sizes in the whole pore system. The values of these three parameters and their relative magnitudes are very sensitive to the quality of pore structure and can be used to classify the type of the pore structure of the samples. The result is in good agreement with the method using mercury injection capillary pressure curves to evaluate the pore structure of the core samples. Field applications also demonstrated that our method is very sensitive in detecting the change of reservoir pore structure as a function of depth. In summary, based on our research from laboratory experiments to field trials, we have identified a key factor which defines the quality of formation pore structure and developed an evaluation method using NMR data.
机译:地层孔隙结构通常包括储层中孔隙的几何形状,体积,连通性以及孔隙体和孔隙喉的其他特性。沿深度获取连续的孔隙结构信息对于鉴定优质储层和评价储层物性或地质性质非常重要。众所周知,在某些条件下,NMR T2分布非常好地反映了不同孔径的分布。其他参数,例如渗透率和总孔隙率,也可以从T2分布中得出。然而,在鄂尔多斯盆地的勘探中,如何建立一个有效的标准以利用NMR测井数据识别孔隙结构的质量和类型与深度的函数关系是一个相对困难的问题。鄂尔多斯盆地典型的孔隙结构岩心样品,并采用注汞毛细管压力曲线作为标准,以鉴定孔隙结构的质量。通过对它们的毛细压力曲线,T2分布和T2分布的累积孔隙率曲线进行综合分析,我们发现控制核心孔隙结构质量的关键因素不是孔隙率,而是特定孔隙范围内孔隙成分的百分比整个毛孔系统的大小。基于此发现,我们总结了实验数据的行为,并开发了一种利用T2分布数据评估孔结构的方法。我们从T2分布中提取三个参数,每个参数代表一种特定孔径范围内整个孔隙系统中一种孔隙组分的百分比。这三个参数的值及其相对大小对孔结构的质量非常敏感,可用于分类样品的孔结构类型。结果与使用汞注入毛细管压力曲线评估岩心样品孔隙结构的方法非常吻合。现场应用还表明,我们的方法对于检测储层孔隙结构随深度的变化非常敏感。总而言之,根据我们从实验室实验到现场试验的研究结果,我们确定了定义地层孔隙结构质量的关键因素,并开发了使用NMR数据的评估方法。

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