碳酸盐岩储层孔隙压力预测技术面临的挑战

M. Rashidi, M. Marhamati, A. Bharadwaj
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引用次数: 0

摘要

孔隙压力预测一直是油气行业面临的一大挑战。为了最好地描述给定区域的趋势,研究人员已经进行了各种预测孔隙压力的尝试。已经发表了几种方法,并声称对许多领域都有效。本文以伊朗某油田为例,验证了部分方法在该油田的适用性。尝试了Eaton的、Holbrook的和Weakley的方法,发现Eaton的方法提供了一个更接近的结果,如果不是一个准确的结果。为了研究这些方法在这种环境下的性质,对地层的细节进行了说明。通过变换伊顿法的压实指数,可以看出田间压实趋势的变化。压实指数3.0在深度为2600m以下时效果较好,而压实指数为0.7在深度大于2600m时效果较好。据推测,并非所有方法都适用于全球,需要进行进一步的研究,以便从质量或数量上发展或修改这些方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A case study of challenges we have in pore pressure prediction techniques for a carbonate reservoir
Pore pressure prediction has always been a major challenge in the industry. Various attempts to predict pore pressure have been made by researchers to best describe the trend for a given region. Several methods have been published and claimed to work for many fields. This paper provides a case study for an oil field in Iran in order to check the applicability of some of the methods in this field. Eaton's, Holbrook's and Weakley's method are tried and it is found that Eaton's method provides a closer result, if not an accurate one. The details of the formation are stated to study the nature of these methods in such environment. The compaction exponent of Eaton's method is varied to see the variation in the trend for the field. The compaction exponent of 3.0 is found to work fairly well for depths up to 2600m while exponent value of 0.7 works for depth greater than 2600m. It is inferred that not all methods are applicable globally and there exists a need for further research to develop or modify these methods either qualitatively or quantitatively.
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