Abstract Since the advent of seismic imaging techniques, the dream of geophysicists has been to identify the fluid effect and be able to accurately map hydrocarbon from the brine within a target reservoir. The usage of bright spots (strong reflection amplitudes) as an indicator of hydrocarbon was the earliest recognition of the direct role played by the pore fluids in seismic signatures. Further development of new techniques had a strong correlation with the increase in computing power and advances in seismic acquisition and processing techniques. In this review, we touch upon the relevant theory developed more than 100 years ago, and then review the methods developed over five decades leading to the quantitative interpretation of seismic data for fluid detection. We also carried out a case study to compare selected fluid identification methods applied to a complex reservoir within an oil and gas field in the Barents Sea. The impedance-based methods “CPEI-Curved Pseudo-elastic Impedance” and “LMR-Lambda-Mu-Rho” inversion provided better results compared to other techniques, highlighting the critical influence anomalous lithologies have on such screening attributes.

中文翻译：

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地震流体检测综述

摘要 自从地震成像技术出现以来，地球物理学家的梦想一直是识别流体效应并能够准确地绘制目标储层内盐水中的碳氢化合物。使用亮点（强反射幅度）作为油气指标是对孔隙流体在地震特征中直接作用的最早认识。新技术的进一步发展与计算能力的提高以及地震采集和处理技术的进步有很强的相关性。在这篇综述中，我们触及了 100 多年前发展起来的相关理论，然后回顾了五十年来发展起来的导致流体检测地震数据定量解释的方法。我们还进行了一个案例研究，以比较适用于巴伦支海油气田内复杂储层的选定流体识别方法。与其他技术相比，基于阻抗的方法“CPEI-Curved Pseudo-elastic Impedance”和“LMR-Lambda-Mu-Rho”反演提供了更好的结果，突出了异常岩性对此类筛选属性的关键影响。