新疆石油地质

新疆石油地质 ›› 2009, Vol. 30 ›› Issue (1): 117-120.

• 应用技术 • 上一篇    下一篇

地震信号的吸收滤波与储集层含气性识别

徐天吉1, 程冰洁2, 李显贵1, 甘其刚1, 唐建明1   

  1. 1.中国石化西南油气分公司勘探开发研究院德阳分院,四川德阳618000;
    2.中国石化西南油气分公司博士后科研工作站，成都610081
  • 收稿日期:2008-06-30 修回日期:2008-06-30 出版日期:2009-02-01 发布日期:2020-08-21
  • 作者简介:徐天吉（1975–）,男,四川射洪人,硕士,地球物理勘探,（Tel）13198289891（E-mail）xu_tianji@126.com.
  • 基金资助:
    中国石化科研项目,川西坳陷须家河组地震勘探新技术开发应用（P05003）资助

Application of Absorption Filter on Seismic Signals to Gas Reservoir Identification

XU Tian-ji1, CHENG Bing-jie2, LI Xian-gui1, GAN Qi-gang1, TANG Jian-Ming1   

  1. 1. Deyang Branch, Research Institute of Exploration and Development, Southwest Oil-Gas Field Company, Sinopec, Deyang, Sichuan 618000, China;
    2. Mobile Postdoctoral Center, Southwest Oil-Gas Field Company, Sinopec, Chengdu, Sichuan 610081, China
  • Received:2008-06-30 Revised:2008-06-30 Online:2009-02-01 Published:2020-08-21

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摘要： 地震波在烃类储集层中传播时，反射频率的吸收衰减响应在原始地震记录中不容易被发现。基于ARMA（Autoregressive moving average)模型时间序列分析方法和Prony 变换理论的吸收滤波技术，采用阻尼谐波对地震信号进行分解，能够产生振幅、频率、相位和吸收系数等参数的不同分量，这些分量构成了子波信号库。结合测井、岩石物理、地质等资料，对库存子波信号进行综合分析、筛选、重构，从而生成优化重组了的地震信号。与原始地震信号相比，吸收滤波数据能够更有效地刻画地质体的各种地震响应，有利于更直观、更高效地实现烃类储集层的预测。将该技术应用到理论模型试算和川西坳陷深层须家河组气藏的含气性识别中，均获得了良好的应用效果。

关键词: 地震信号, 吸收, 滤波, 原理, 应用

Abstract: When seismic wave propagates in hydrocarbon-bearing reservoirs, its reflecting frequency in response of absorption and attenuation is difficult to be detected in original seismic data. The absorption filter technology of seismic signals is based on autoregressive moving average (ARMA) analysis method and Prony transforming theory to decompose seismic signals into damping waves which are different in amplitude, frequency, phase and absorption coefficients. These decomposed signals comprise of the signal storage. We can analyze, select, reconstruct and optimize the seismic signals, combined with the information of well logging, petrophysics and geology, etc. Comparing with original seismic signals, the absorption-filtered data can depict various seismic responses more effectively, thus predicting hydrocarbon-bearing reservoirs more intuitionisticly, more effectively than using the original signals. The case study indicates that good applied result has been obtained using this method in test of model data and in gas reservoir identification.

Key words: seismic signal, absorption, filter, principle, application

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