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Virtual and digital outcrops in the petroleum industry: A systematic review
Earth-Science Reviews ( IF 10.8 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.earscirev.2020.103260
Ademir Marques , Rafael Kenji Horota , Eniuce Menezes de Souza , Lucas Kupssinskü , Pedro Rossa , Alysson Soares Aires , Leonardo Bachi , Mauricio Roberto Veronez , Luiz Gonzaga , Caroline Lessio Cazarin

Abstract The study of outcrop analogues of petroleum reservoirs is well established in the petroleum industry through the use of digital outcrop models (DOMs). These models, which are also known as virtual outcrop models (VOMs) or 3D outcrops, are of great importance for understanding the behavior of actual reservoirs. This topic has been reviewed by many authors, and the studies vary in detail according to the technologies involved. The present study applies systematic review methodology traversing a number of articles to find the trends in studies utilizing DOMs. The articles included in this review indicate that the technologies used to generate DOMs are still predominantly classified as Light Detection and Ranging (LiDAR) and digital photogrammetry, with the first being present in most of the works, and the latter attracting attention owing to the popularity of unmanned aerial vehicles (UAVs). These studies have attracted a significant amount of attention to outcrop analysis, and the information acquired can be used to better fit reservoir simulations. Furthermore, a trend is identified with a focus on outcrop geometry and structural data. This work also discusses some of the available opportunities related to the generation of DOMs as well as emerging technologies that can improve the quality of the outcrop models in order to provide better reservoir simulations. Finally, this work discusses the findings and highlights of the articles answering the initially raised research questions.

中文翻译:

石油工业中的虚拟和数字露头:系统评价

摘要 通过使用数字露头模型(DOM),石油工业中已经建立了对油藏露头类似物的研究。这些模型也称为虚拟露头模型 (VOM) 或 3D 露头,对于了解实际储层的行为非常重要。该主题已被许多作者审阅,并且研究根据所涉及的技术而有所不同。本研究应用系统评价方法遍历多篇文章,以发现利用 DOM 的研究趋势。本评论中包含的文章表明,用于生成 DOM 的技术仍然主要归类为光检测和测距 (LiDAR) 和数字摄影测量,大多数作品中都出现了第一种技术,后者由于无人机(UAV)的普及而引起关注。这些研究引起了对露头分析的大量关注,所获得的信息可用于更好地拟合储层模拟。此外,确定了一种趋势,重点是露头几何形状和结构数据。这项工作还讨论了与 DOM 生成相关的一些可用机会以及可以提高露头模型质量以提供更好的储层模拟的新兴技术。最后,这项工作讨论了回答最初提出的研究问题的文章的发现和亮点。获取的信息可用于更好地拟合油藏模拟。此外,确定了一种趋势,重点是露头几何形状和结构数据。这项工作还讨论了与 DOM 生成相关的一些可用机会以及可以提高露头模型质量以提供更好的储层模拟的新兴技术。最后,这项工作讨论了回答最初提出的研究问题的文章的发现和亮点。获取的信息可用于更好地拟合油藏模拟。此外,确定了一种趋势,重点是露头几何形状和结构数据。这项工作还讨论了与 DOM 生成相关的一些可用机会以及可以提高露头模型质量以提供更好的储层模拟的新兴技术。最后,这项工作讨论了回答最初提出的研究问题的文章的发现和亮点。这项工作还讨论了与 DOM 生成相关的一些可用机会以及可以提高露头模型质量以提供更好的储层模拟的新兴技术。最后,这项工作讨论了回答最初提出的研究问题的文章的发现和亮点。这项工作还讨论了与 DOM 生成相关的一些可用机会以及可以提高露头模型质量以提供更好的储层模拟的新兴技术。最后,这项工作讨论了回答最初提出的研究问题的文章的发现和亮点。
更新日期:2020-09-01
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