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首页> 外文会议>Society of Exploration Geophysicists International Exposition and Annual Meeting >Fluid flow paths discrimination in tight sand reservoir using the hydraulic flow unit approach with an example from the Algerian Sahara
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Fluid flow paths discrimination in tight sand reservoir using the hydraulic flow unit approach with an example from the Algerian Sahara

机译：使用液压流动单元方法，使用液压流动单元方法与阿尔及利亚撒哈拉拉的示例，流体流动路径判别

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摘要

In this work, fluid flow paths are discriminated from standard well logs and core data through the utilization of Hydraulic Flow Units approach (HFU) and an intelligent network. Firstly, the flow zone indicator (FZI), which is a unique parameter for each hydraulic unit, is used to characterize each rock type. The number of hydraulic flow units and mean values of FZI for each HFU are calculated from porosity and permeability measured from core-rocks. Application to data of a borehole located in the Algerian Sahara shows the existence of three HFUs and a correlation coefficient greater than 0.9 in each HFU was observed. Some FZI are attributed for un-cored wells using the Fuzzy Logic system (FL). Well-logs data that are used as an input to train the fuzzy system are the neutron porosity, the bulk density, the slowness of the P wave, the resistivity of the shallow and the deep zones and the natural gamma ray. The calculated FZI associated to these depths interval are used as an output. The presented methodology was successfully applied to a large data set of laboratory and well logging measurements from the Hassi Tarfa field.
机译：在这项工作中，通过利用液压流量单元（HFU）和智能网络，与标准井日志和核心数据区分流体流动路径。首先，流量区指示器（FZI）是每个液压单元的唯一参数，用于表征每个岩石类型。从芯岩中测量的孔隙率和渗透率计算每个HFU的液压流动单元的数量和FZI的平均值。在阿尔及利亚撒哈拉州位于阿尔及利亚撒哈拉的钻孔数据的应用表明，观察到存在三个HFU，并且观察到每种HFU中大于0.9的相关系数。一些FZI使用模糊逻辑系统（FL）归因于未核心井。用作训练模糊系统的井的记录数据是中子孔隙度，堆积密度，P波的衰退，浅层和深处的电阻率和天然伽玛射线。与这些深度间隔相关联的计算的FZI用作输出。呈现的方法已成功应用于大型数据集，以及来自Hassi Tarfa领域的良好测量测量。

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