ISSN 1004-4140
CN 11-3017/P
王喜安, 张军华, 夏连军, 等. 自适应多道匹配追踪去强屏蔽方法研究与应用[J]. CT理论与应用研究, 2023, 32(2): 179-188. DOI: 10.15953/j.ctta.2022.120.
引用本文: 王喜安, 张军华, 夏连军, 等. 自适应多道匹配追踪去强屏蔽方法研究与应用[J]. CT理论与应用研究, 2023, 32(2): 179-188. DOI: 10.15953/j.ctta.2022.120.
WANG X A, ZHANG J H, XIA L J, et al. Adaptive Weight Multi-channel Matching Pursuit Algorithm-Based Strong Shielding Removal Method[J]. CT Theory and Applications, 2023, 32(2): 179-188. DOI: 10.15953/j.ctta.2022.120. (in Chinese).
Citation: WANG X A, ZHANG J H, XIA L J, et al. Adaptive Weight Multi-channel Matching Pursuit Algorithm-Based Strong Shielding Removal Method[J]. CT Theory and Applications, 2023, 32(2): 179-188. DOI: 10.15953/j.ctta.2022.120. (in Chinese).

自适应多道匹配追踪去强屏蔽方法研究与应用

Adaptive Weight Multi-channel Matching Pursuit Algorithm-Based Strong Shielding Removal Method

  • 摘要: 阻抗差异较大的地层在地震剖面上呈现为强振幅同相轴,会掩盖附近储层有效信息,需要做去除强屏蔽的目标处理。针对常规匹配追踪方法在构造复杂地区匹配精度和空间连续性不佳的问题,本文提出一种基于自适应权值的多道匹配追踪去强屏蔽方法。首先利用层位构造信息对强反射层进行局部拉平处理,减弱地层空间构造对提取强反射层的影响,然后引入相邻地震道与中心道之间的相关系数作为多道平均的权值,以提高匹配结果的稳定性和横向连续性。同时使用解释得到的层位时间作为子波初始时间,有效提高运算效率。模型试算和实际地震资料应用分析表明,改进方法能有效剥离强反射并突出有效储层信息,剥离后的井震吻合度得到明显提升,相较于常规匹配追踪算法匹配精度更高,同时具有更好的空间连续性与强反射去除效果。

     

    Abstract: The strata with large impedance differences are presented as strong amplitude seismic events on the seismic profile, which obscure useful information of nearby reservoirs and need interpretive target processing to remove the strong shielding. Therefore, this study proposes a multi-channel matching pursuit algorithm based on adaptive weight to remove strong shielding. Moreover, to address the problem of poor matching accuracy and spatial continuity of normal multi-channel matching pursuit at area where strong tectonic changes occur, a multi-channel matching pursuit de-strong shielding method based on adaptive weights is proposed. First, we used the layer structure information to flatten the strong reflection layer locally to weaken the influence of stratigraphic structure changes on the extraction of the strong reflection layer. Subsequently, we introduced a correlation coefficient between adjacent seismic traces and the central trace as the weight of multi trace averaging, which improved the stability and lateral continuity of the matching results. The result analysis of model processing tests and practical seismic data application shows that the proposed method can effectively strip the strong reflections and highlight the effective reservoir information; the well seismic match degree is significantly improved with higher matching accuracy, better spatial continuity, and better striping effect than those of the conventional matching pursuit algorithm.

     

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