| 摘要: |
| 依据不同旋冋类型的地质特征及参数建立相应的地质模型，采用小波深频分析方法对地质模甩参数进行处 理,获取不同旋回类型的频谱响应特征模型,在此模型的指导下,对预处理后的测井数据(信号)在深度域进行小波 变换和频谱特征分析,进而依频谱展宽及其韵律特征识别和研究沉积储层旋回。结果表明:小波深频分析方法具有 不受数据剖面长度限制、自动调节尺度大小、分辨率高、沉积储层旋回划分精度高且能自动识别各级旋回界面等优 点;高频成分的频率响应对应短周期沉积储层旋回，低频成分的频率响应对应长周期沉积储层旋回;所建立的沉积 储层旋回响应特征模型库为油气的勘探开发指明了方向。 |
| 关键词: 测井曲线 小波深频分析 频谱特征分析 沉积储层旋回 响应特征 |
| DOI： |
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| 基金项目:中石油W家科技重大专项课题(2008ZX050201-01) |
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| Study of sedimentary reservoir cycles using wavelet depth-frequency analysis method |
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XU Jing-ling1,2,WANG Gui-wen1,2,LIU Luo-fu1,2
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(1. School of Resource and Information Technology in China University of Petroleum, Beijing 102249, China;2.State Key Laboratory of Petroleum Resources and Processing in China University of Petroleum% Beijing 102249, China)
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| Abstract: |
| According to the geological characters and parameters of different cyclic types, the corresponding geologic models were established，and the spectral response feature models of different cyclic types were gotten using wavelet depth-frequency analysis method to dispose the parameters of geologic models. Based on the response characteristics models，wavelet transform and spectrum feature analysis were done to the pretreatment logging data or signal in depth domain，then the sedimentary reservoir cycles were identified according to the spectral broadening and its rhythmic features. The results show that the wavelet depth-frequency analysis method has the advantages of no limitation of length, automatic regulation scale dimensions, high resolution，division sedimentary reservoir cycles with high precision and identifying all levels cycle interface automatically. The frequency responses of high frequency notches identify short period sedimentary reservoir cycles and frequency responses of low frequency notches identify long period cycles. The response characteristics models of sedimentary reservoir cycles can be used to designate the direction for exploration and development of oil and gas. |
| Key words: well logging wavelet depth-frequency analysis spectrum feature analysis sedimentary reservoir cycles response characteristics |
