Offset-Controlled Localized Velocity Inversion in the τ-p Domain Using Acoustic Traveltimes: Modeling and Application

IF 8.6 1区 地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-19 DOI:10.1109/TGRS.2024.3502431
Song Xu;Zhihui Zou;Shun Li
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Abstract

Understanding the properties of rocks surrounding boreholes is crucial for industries such as oil and gas exploration. This article presents an offset-controlled localized velocity inversion method in the $\tau -p$ domain, aimed at enhancing the accuracy and computational efficiency of velocity imaging around boreholes. By incorporating positional information from receiver arrays into velocity inversion process, the method more accurately reflects depth and radial variations in acoustic velocity. Numerical models validate the applicability of the method, showing that receiver arrays with a near-to-far configuration should be selected for logging observation systems to effectively capture radial velocity variations. Additionally, considering the offset improves the accuracy of estimating formation velocity variations, particularly for sudden changes such as thin layers. The effectiveness of this approach is further verified using actual borehole logging data, demonstrating its ability to capture velocity variations around wells and providing a new means for interpreting logging data.
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利用声学旅行时在 Tau-P 域进行偏移控制的局部速度反演:建模与应用
了解钻孔周围岩石的性质对石油和天然气勘探等行业至关重要。为了提高井周速度成像的精度和计算效率,提出了一种$\tau -p$域偏移控制的局部速度反演方法。通过将接收阵列的位置信息整合到速度反演过程中,该方法可以更准确地反映声速的深度和径向变化。数值模型验证了该方法的适用性,表明测井观测系统应选择具有近远配置的接收机阵列,以有效捕获径向速度变化。此外,考虑偏移量可以提高估计地层速度变化的准确性,特别是对于薄层等突然变化的地层。利用实际井眼测井数据进一步验证了该方法的有效性,证明了其捕捉井周围速度变化的能力,并为解释测井数据提供了一种新的手段。
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来源期刊
IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing 工程技术-地球化学与地球物理
CiteScore
11.50
自引率
28.00%
发文量
1912
审稿时长
4.0 months
期刊介绍: IEEE Transactions on Geoscience and Remote Sensing (TGRS) is a monthly publication that focuses on the theory, concepts, and techniques of science and engineering as applied to sensing the land, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.
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