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An offshore Gulf of Mexico case study applying full-waveform inversion

机译:墨西哥潜水案例研究应用全波形反转

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摘要

Full-waveform inversion (FWI) is a high-resolution earth model-building technique based on recorded seismic data. Conventional FWI usually relies on diving and refracted waves to update the low-wavenumber/background components of the model; however, the update based on transmitted energy is often depth limited due to the limited offset range of the acquired data. To extend the FWI updating depth beyond the transmitted energy limits, we must use reflection data. Recently, industry interest has resumed in the potential for automated subsurface model-building, especially in complex geologic settings (e.g., salts), through data-driven minimization such as FWI. The business impact of such an automatic model-building technique would be significant in that it is proposed to improve the efficiency of any model-building exercise involving structural complexity and high uncertainty in seismic image interpretation. An ultimate expectation for the FWI technique is to build or update the salt geometry because these complex bodies have a first-order impact on image quality. We evaluate several examples using FWI for building a subsurface model, including salt boundary and salt velocity delineation, in geologically complex areas in the western Gulf of Mexico. The geology there comprises rugose and deformed shallow salt bodies with intracanopy high dip and close-proximity structures, resulting from regional basinward gliding and associated compressional mechanisms. Given the challenges for model building in such a complex setting, a data-fitting approach such as FWI with access to the full reflectivity record is proposed to provide practical solutions for an effective salt model update. Improving confidence in the seismic image and subsequent geologic understanding remains the core objective.
机译:全波形反转(FWI)是一种基于记录的地震数据的高分辨率接地模型建设技术。传统的FWI通常依赖于潜水和折射波以更新模型的低波浪/背景组件;然而,由于所获取的数据的有限偏移范围,基于发送能量的更新通常是深度限制。要扩展超出传输的能量限制的FWI更新深度,我们必须使用反射数据。最近,行业兴趣已经恢复了自动地下模型建设的潜力,特别是在复杂地质设置(例如,盐),通过数据驱动的最小化,例如FWI。这种自动模型建设技术的业务影响将是重要的,因为提出了提高涉及结构复杂性和地震图像解释中的高不确定性的模型建筑锻炼的效率。对FWI技术的最终期望是建立或更新盐几何形状,因为这些复杂的主体对图像质量有一阶影响。我们使用FWI评估了几个例子,用于构建地下模型,包括墨西哥海湾地质复杂地区的盐界和盐速度描绘。地质地质包括螺旋和变形浅盐体,具有绞痛高倾角和近距离结构,由区域束透视和相关的压缩机制产生。鉴于在这种复杂的环境中建模的挑战,提出了一种具有访问完整反射率记录的数据配件方法,例如FWI,以提供有效盐模型更新的实用解决方案。提高对地震形象的信心和随后的地质理解仍然是核心目标。

著录项

  • 来源
    《Interpretation》 |2019年第2期|共9页
  • 作者单位

    Westerngeco 3750 Briarpk Dr Houston TX 77042 USA;

    Westerngeco 3750 Briarpk Dr Houston TX 77042 USA;

    Westerngeco 3750 Briarpk Dr Houston TX 77042 USA;

    Westerngeco 3750 Briarpk Dr Houston TX 77042 USA;

    Westerngeco 3750 Briarpk Dr Houston TX 77042 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地球物理学;
  • 关键词

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