Quantification of Uncertainties in Pore Pressure Prediction: Is there any one Best Practice?

S. Bordoloi
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Abstract

Uncertainties in pore pressure models arises due to a combination of various reasons: poor quality input data, challenging geological settings, dearth of sufficient predrill information, lack of geological understanding are some of the critical ones. Moreover, being a multi-disciplinary effort and in some cases due to a lack of sufficiently experienced resources - some of these challenges can get amplified. However, having an awareness regarding the effect of various geologic parameters on overpressure generation as well as its maintenance or dissipation through time plays a very critical role in influencing our overall interpretation of the ‘uncertainty envelope’. Many times it has been experienced that ‘knowing what we don’t know’ could be a key factor in how good we can quantify these uncertainties.
孔隙压力预测中不确定性的量化:是否存在最佳实践?
孔隙压力模型的不确定性是由多种原因引起的:输入数据质量差,地质环境具有挑战性,缺乏足够的钻前信息,缺乏地质认识是一些关键原因。此外,由于是一项多学科的工作,在某些情况下由于缺乏足够的经验资源,这些挑战中的一些可能会被放大。然而,了解各种地质参数对超压产生的影响及其随时间的维持或消散在影响我们对“不确定性包络线”的整体解释方面起着非常关键的作用。很多时候,“知道我们不知道什么”可能是我们量化这些不确定性的关键因素。
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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