ROCK QUALITY GROUPING IN SANDSTONE FORMATION USING A CRITICAL POROSITY APPROACH AT FORMATION PRESSURE CONDITIONS

S. Rahmawan, G. Yasmaniar, S. Prakoso
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Abstract

The methods of grouping reservoir rock types based on the physical properties of rocks that have been studied by previous researchers still have a relatively large value of uncertainty. This uncertainty arises in conditions where rock type grouping is carried out in wells that do not have core sample data. Where we know that in the oil and gas field, not all wells in the field are subjected to rock sampling, either routine core analysis or special core analysis. From these problems, the authors feel the need to carry out this study to create a method for classifying reservoir rock types based on the physical properties of rocks that can be used in wells that do not have core sample data. The rock types in the wells that do not have core samples will be grouped based on the critical porosity value of the rock obtained from the vp value in the acoustic log data owned by these wells. By making an approach model through the critical porosity of rocks from wells that have core sample data, wells that only have acoustic log data can be grouped by using the critical porosity approach which is generated from the vp value of the acoustic log.
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在地层压力条件下,利用临界孔隙度方法对砂岩地层进行岩石质量分组
前人研究的基于岩石物性的储层岩石类型分组方法仍然存在较大的不确定性值。当在没有岩心样本数据的井中进行岩石类型分组时,这种不确定性就会出现。我们知道,在油气田中,并不是所有的井都要进行岩石取样,无论是常规岩心分析还是特殊岩心分析。鉴于这些问题,作者认为有必要开展这项研究,以创建一种基于岩石物理性质对储层岩石类型进行分类的方法,该方法可用于没有岩心样品数据的井。对于没有岩心样本的井,将根据这些井拥有的声波测井数据中的vp值获得的岩石临界孔隙度值对岩石类型进行分组。通过岩心样品井的岩石临界孔隙度建立方法模型,利用声波测井vp值生成的临界孔隙度方法对仅有声波测井数据的井进行分组。
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