Analytical Fractured Reservoir Characterization by using Geological and Petrophysical Logs

Z. Movahed, Farzaneh Aghajari
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Abstract

: Due to structural complexities in some wells, higher than the expected thickness of the Asmari formation is found. Fracture intensity and deep-rooted fractures broadly increase the risk of unpredictable water production. The well-test analysis is not sufficient in describing fracture properties. Unfortunately, the core condition is poor in the fractured zones and cannot be used to provide reliable information. So, the objectives of this study are developing an accurate structural model for the Asmari reservoir, and fracture characterization in the borehole by interpreting image logs and comparing the log's image results with core data. Dip classification based on a geological log has the value of providing a direct demonstration of structural origin and detecting Asmari fault and fracture systems and their impact on production and answering structural issues. So, in this study, the borehole imaging tools were interpreted to find solutions for fracture systems and fracture attributes. Interpreting accurate structural dip determined the structural problem, thus bringing the precise location of the well within the Asmari reservoir. Fracture properties (open or closed), occurrence, orientation, spacing, and porosity were interpreted using an Image log. The high density of fractures seen on FMS image logs in the study well has been confirmed by inspection of the cores and the distinction between major and minor fracture types from the FMS image logs has been established following core review. As a result, this exercise has been confirmed to be very valuable, not only for indicating the value of the log data, but it has also emphasized some significant limitations of the core data. The amount of information extracted from the FMS image logs goes beyond that achieved from the core. This exercise has validated why image logs are the main source of fracture information in the oil fields of Iran.
利用地质和岩石物理测井资料分析裂缝性储层特征
由于一些井的结构复杂,发现Asmari地层的厚度高于预期。裂缝强度和深根裂缝普遍增加了不可预测的产水风险。试井分析不足以描述裂缝的性质。不幸的是,在裂缝带的岩心条件很差,不能用来提供可靠的信息。因此,本研究的目标是为Asmari储层建立一个精确的结构模型,并通过解释图像测井并将测井图像结果与岩心数据进行比较,在井眼中进行裂缝表征。基于地质测井的倾角分类具有直接展示构造起源、探测Asmari断层和裂缝系统及其对生产的影响和回答构造问题的价值。因此,在本研究中,对井眼成像工具进行了解释,以找到裂缝系统和裂缝属性的解决方案。准确的构造倾角解释确定了构造问题,从而确定了Asmari储层内井的精确位置。利用图像测井解释裂缝性质(张开或闭合)、产状、方位、间距和孔隙度。通过对岩心的检查,研究井中FMS图像测井显示的高密度裂缝得到了证实,通过岩心检查,FMS图像测井确定了主要裂缝和次要裂缝类型的区别。因此,这个练习已经被证实是非常有价值的,不仅表明了日志数据的价值,而且还强调了核心数据的一些重要局限性。从FMS图像日志中提取的信息量超过了从岩芯中获得的信息量。该实验验证了为什么图像测井是伊朗油田裂缝信息的主要来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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