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用于下一代钻孔成像的无源分布式声学传感测井的可行性。

Feasibility of source-free DAS logging for next-generation borehole imaging.

作者信息

Li David, Huang Lianjie, Zheng Yingcai, Li Yingping, Wannamaker Philip, Moore Joseph

机构信息

Geophysics Group, Los Alamos National Laboratory, MS D452, Los Alamos, NM, 87545, USA.

Department of Earth & Atmospheric Sciences, University of Houston, Houston, TX, 77004, USA.

出版信息

Sci Rep. 2022 Jul 13;12(1):11910. doi: 10.1038/s41598-022-16027-3.

Abstract

Characterizing and monitoring geologic formations around a borehole are crucial for energy and environmental applications. However, conventional wireline sonic logging usually cannot be used in high-temperature environments nor is the tool feasible for long-term monitoring. We introduce and evaluate the feasibility of a source-free distributed-acoustic-sensing (DAS) logging method based on borehole DAS ambient noise. Our new logging method provides a next-generation borehole imaging tool. The tool is source free because it uses ever-present ambient noises as sources and does not need a borehole sonic source that cannot be easily re-inserted into a borehole after well completion for time-lapse monitoring. The receivers of our source-free DAS logging tool are fiber optic cables cemented behind casing, enabling logging in harsh, high-temperature environments, and eliminating the receiver repeatability issue of conventional wireline sonic logging for time-lapse monitoring. We analyze a borehole DAS ambient noise dataset to obtain root-mean-squares (RMS) amplitudes and use these amplitudes to infer subsurface elastic properties. We find that the ambient noise RMS amplitudes correlate well with anomalies in conventional logging data. The source-free DAS logging tool can advance our ability to characterize and monitor subsurface geologic formations in an efficient and cost-effective manner, particularly in high-temperature environments such as geothermal reservoirs. Further validation of the source-free DAS logging method using other borehole DAS ambient noise data would enable the new logging tool for wider applications.

摘要

表征和监测钻孔周围的地质地层对于能源和环境应用至关重要。然而,传统的电缆声波测井通常不能用于高温环境,而且该工具也不适用于长期监测。我们介绍并评估了一种基于钻孔分布式声学传感(DAS)环境噪声的无源分布式声学传感(DAS)测井方法的可行性。我们的新测井方法提供了一种下一代钻孔成像工具。该工具是无源的,因为它使用始终存在的环境噪声作为声源,并且不需要在完井后难以重新插入钻孔以进行时移监测的钻孔声源。我们的无源DAS测井工具的接收器是粘结在套管后面的光纤电缆,能够在恶劣的高温环境中进行测井,并消除了传统电缆声波测井用于时移监测的接收器重复性问题。我们分析了一个钻孔DAS环境噪声数据集以获得均方根(RMS)振幅,并使用这些振幅来推断地下弹性特性。我们发现环境噪声RMS振幅与传统测井数据中的异常有很好的相关性。无源DAS测井工具可以提高我们以高效且经济有效的方式表征和监测地下地质地层的能力,特别是在地热储层等高温环境中。使用其他钻孔DAS环境噪声数据对无源DAS测井方法进行进一步验证将使这种新的测井工具得到更广泛的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0ef/9279403/cc034a50b803/41598_2022_16027_Fig1_HTML.jpg

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