特种油气藏 ›› 2024, Vol. 31 ›› Issue (3): 52-60.DOI: 10.3969/j.issn.1006-6535.2024.03.007

• 地质勘探 • 上一篇    下一篇

基于小波包分解岩石破裂声发射信号响应机制与脆性评价研究

魏靖依   

  1. 西南石油大学,四川 成都 610500
  • 收稿日期:2024-03-28 修回日期:2024-04-14 出版日期:2024-06-25 发布日期:2024-07-26
  • 作者简介:魏靖依(1999—),男,2021年毕业于长江大学资源勘查专业,现为西南石油大学地质学专业在读硕士研究生,研究方向为油气地质勘探。
  • 基金资助:
    黑龙江省博士后科研启动项目“古龙页岩油层压裂缝网声发射演化机制研究”(LBH-Q21086)

Study on Response Mechanism and Brittle Evaluation of RockFracture Acoustic Emission Signals Based on Wavelet Packet Decomposition

Wei Jingyi   

  1. Southwest Petroleum University, Chengdu, Sichuan 610500, China
  • Received:2024-03-28 Revised:2024-04-14 Online:2024-06-25 Published:2024-07-26

摘要: 岩石脆性是控制岩石破裂的关键指标,决定着能否在压裂过程形成有效的缝网。通过声发射信号研究岩石脆性特征与破裂行为,能够直接揭示岩石破裂与脆性之间的关系。但目前尚未建立声发射信号特征与岩石破裂模式的关系,无法准确描述岩石的脆性特征。为此,基于小波包分解方法对岩石声发射信号进行能量频带划分,建立不同脆性岩石破裂模式与声发射信号能量分布之间的关系,通过对声发射信号的三维空间分布特征进行分析,提出了基于声发射信号能量分布的岩石脆性指数评价方法。研究表明:声发射信号的能量特征与岩石的脆性有关,能量分布的主频率大多在750 kHz以内,岩石脆性矿物含量越高,该频率的声发射信号所占比例越大,岩石破裂声发射信号能量分布越集中,岩石破裂的突变性越强,裂缝张性、剪切及混合演化扩展模式转换越明显,脆性指数也越大。该研究可为岩石破裂预警等方面的研究提供借鉴和参考。

关键词: 声发射信号, 小波包分解, 岩石破裂, 脆性评价

Abstract: Rock brittleness is a key indicator controlling rock fracturing, determining the formation of an effective fracture network during fracturing. Studying the characteristics of rock brittleness and fracturing behavior through acoustic emission signals can directly reveal the relationship between rock fracturing and brittleness. However, the relationship between acoustic emission signal characteristics and rock fracturing patterns has not yet been established, making it difficult to accurately determine the brittleness characteristics of rocks. Therefore, based on the wavelet packet decomposition method, this study divides rock acoustic emission signals by energy frequency bands and builds the relations between different brittle rock fracturing patterns and the energy distribution of acoustic emission signals. Through the analysis of the three-dimensional spatial distribution characteristics of acoustic emission signals, a rock brittleness index evaluation method based on the energy distribution of acoustic emission signals is proposed. The study shows that the energy characteristics of acoustic emission signals are related to rock brittleness, with the main frequency of energy distribution mostly below 750 kHz. The higher the content of brittle minerals in the rock, the larger the proportion of energy signals,the more concentrated the energy distribution of rock fracturing acoustic emission signals, the stronger the mutability of rock fracturing, the more apparent the transition between fracture tension, shearing, and mixed evolutionary expansion modes, and the greater the brittleness index. The results can provide reference and guidance for research on rock fracturing warning and other related aspects.

Key words: acoustic emission signals, wavelet packet decomposition, rock fracturing, brittleness evaluation

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