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Impacts of petrophysical properties of sandstone reservoirs on their irreducible water saturation: Implication and prediction

机译:砂岩储层岩石物性对其不可还原含水饱和度的影响:意义与预测

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摘要

Irreducible water saturation (S-wir) is an important parameter in reservoir evaluation that can affect hydrocarbon saturation, permeability prediction models and estimation of original oil in - place. The S-wir is usually obtained from capillary pressure data. In this study, routine and special core analyses for sandstone reservoirs in four wells were used to investigate the relationship between irreducible water saturation and the petrophysical properties of the reservoir rocks. The results indicated that the magnitude of S-wir is controlled by a complex relationship of reservoir rock wettability, reservoir quality, clay content, clay mode of distribution, and capillary pressure. Reservoir rock wettability can obscure the effect of other factors in the case of oil-wet rocks. On the other hand, irreducible water saturation from published data were used together with the studied four wells data, providing 110 sandstone samples covering different geologic ages and fades, to examine the applicability of the traditional empirical models that were commonly used in S-wir prediction as well as to introduce a new simple equation by which S-wir can be predicted. The study indicated that the Timur equation gave the best applicable empirical model to predict S-wir. The study indicated also that the flow zone indicator can slightly improve the prediction strength of the S-wir. Using other parameters characterizing capillary pressure curves such as displacement pressure and Swanson parameter didn't improve the relationship prediction strength.
机译:不可减水饱和度(S-wir)是储层评估中的重要参数,它会影响烃饱和度,渗透率预测模型和原始油田估计。 S-wir通常是从毛细管压力数据获得的。在这项研究中,使用常规和特殊岩心分析对四口井的砂岩储层进行了研究,以研究不可还原的含水饱和度与储层岩石的岩石物性之间的关系。结果表明,S型堰的大小受储层岩石润湿性,储层质量,黏土含量,黏土分布模式和毛细压力的复杂关系控制。在油湿岩石的情况下,储层岩石的润湿性会掩盖其他因素的影响。另一方面,将已发表数据的不可减水饱和度与所研究的四口井数据一起使用,提供110个覆盖不同地质年龄和衰落的砂岩样品,以检验在S线预报中常用的传统经验模型的适用性以及引入一个新的简单方程式,通过该方程式可以预测S-wir。研究表明,Timur方程为预测S-wir提供了最佳的经验模型。研究还表明,流动区指示器可以稍微提高S-wir的预测强度。使用表征毛细管压力曲线的其他参数(例如位移压力和Swanson参数)并不能提高关系预测强度。

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