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首页> 外文会议>SPE Latin American and Caribbean Petroleum Engineering Conference;LACPEC 2007 >Wireline Logs and Core Data Integration in Los Molles Formation, Neuquen Basin, Argentina
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Wireline Logs and Core Data Integration in Los Molles Formation, Neuquen Basin, Argentina

机译：阿根廷内乌肯盆地Los Molles组的电缆测井和核心数据集成

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In Agua del Cajón Block (Neuquen Basin, Argentina), petrophysical data was treated according to deductive and inductive methods in order to get the most from both approaches. Deductive methods comprise those methodologies that seek to differentiate the data by the computation of a set of component proportions whose identification is linked with wireline log data by a set of response equations. The model is built considering the number of components and the number of variables (data curves). Normally, measures to detect mismatches and gross errors are included in the techniques, although mathematical consistency is not a guarantee of geological accuracy. This situation is well represented by standard log analysis. On the contrary, inductive methods establish their classes or transformations based on the data set and do not depend on any predetermined correlation among the components. These methods tend to isolate distinctive patterns and to derive classifications or new variables that can be interpreted with a physical meaning. Cluster analysis is one example of these types of methodologies. In this study, wireline logs (spontaneous potential, gamma ray, shallow-medium and deep resistivities, neutron, density, sonic, photoelectric factor, and microrresistivity images) were calibrated according to the lithological variations – facies- described in cores taken from the reservoirs developed within Los Molles Formation. These facies which comprised crudely bedded gravel with imbrication (Gm), medium to coarse, even pebbly sand with planar crossbeds (Sp), very fine to very coarse sand with horizontal lamination (Sh) and massive mud-silt (Fm), were linked with electrofacies using multivariate analysis, particularly cluster analysis. The first two facies are the actual reservoirs targets within the field. After the analysis of ten wells within the field, a more thorough understanding of the petrophysical properties and a deeper understanding of the dynamic responses of the reservoirs was achieved.
机译：在Agua delCajón区块（阿根廷新奎恩盆地）中，根据演绎法和归纳法处理了岩石物理数据，以便从这两种方法中获得最大收益。演绎法包括那些通过计算一组成分比例来区分数据的方法，这些成分比例的标识通过一组响应方程与电缆测井数据联系在一起。建立模型时要考虑组件的数量和变量（数据曲线）的数量。尽管数学上的一致性并不能保证地质准确性，但通常，该技术中还包括用于检测失配和严重误差的措施。通过标准日志分析可以很好地表示这种情况。相反，归纳方法基于数​​据集建立其类或转换，并且不依赖于组件之间的任何预定相关性。这些方法往往会分离出独特的模式，并得出可以用物理意义解释的分类或新变量。聚类分析就是这类方法的一个例子。在这项研究中，根据岩性（岩相）描述的岩性变化对电缆测井曲线（自发势，伽马射线，浅中和深电阻率，中子，密度，声波，光电因子和微电阻率图像）进行了校准。在Los Molles编队内开发。这些相包括粗化的含砾砾石的砾岩（Gm），中度至粗糙的，平坦的卵石的卵石（平坦的交叉床），水平层压的极细至非常粗的砂岩（Sh）和块状淤泥（Fm）。使用多变量分析（尤其是聚类分析）的电相。前两个相是油田内的实际储层目标。在分析了该油田的十口井之后，人们对岩石物理特性有了更透彻的了解，并对储层的动力响应有了更深入的了解。

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