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Study of sedimentary reservoir cycles using wavelet depth-frequency analysis method |
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 |
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