本特别章节导言:地下不确定性

Madhav Vyas, David Lubo-Robles, Matt Walker
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引用次数: 0

摘要

处理地球物理反演结果的非唯一性和模糊性是描述地下特征的一大挑战。地球物理反演是根据地震、电磁、重力或磁场信号等地球物理测量数据估算地下物理特性的过程。然而,通常有许多不同的地下模型可以很好地拟合相同的数据。因此,必须评估反演模型的不确定性和可靠性,并整合其他信息源,如地质、岩石物理或地球化学数据,以减少不确定性。尽管近几十年来该行业取得了进步,但地下结果超出预测范围的数量与这些范围的假定确定性不成比例。这导致了投资预算的低效分配,由于石油和天然气行业的资本密集型特点,这种情况尤为严重。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Introduction to this special section: Subsurface uncertainty
Handling the nonuniqueness and ambiguity of geophysical inversion results is a major challenge in characterizing the subsurface. Geophysical inversion is the process of estimating the physical properties of the subsurface from the measured geophysical data, such as seismic, electromagnetic, gravity, or magnetic signals. However, there are often many different subsurface models that can fit the same data adequately well. Therefore, it is important to evaluate the uncertainty and reliability of the inverted models and integrate other sources of information, such as geologic, petrophysical, or geochemical data, to reduce uncertainty. Despite the industry's advances in recent decades, the number of subsurface outcomes that fall outside predicted ranges is disproportionate to the supposed certainty of those ranges. This leads to inefficient allocation of investment budgets, which is particularly painful due to the capital-intensive nature of the oil and gas industry.
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