|
|
|
| The application of wavelet method to eliminating ghost wave in Gulf of Mexico |
| JIANG Dan, PU Xiao-Dong, MA Zhi-Guo, SHI Meng-Chang, LI Jun-Jun |
| Geophysical Department,China Oilfield Services Co.,Ltd.,Tianjin 300451,China |
|
|
|
|
Abstract The ghost wave is developed well in deep water.Meanwhile,the seismic profile will be wrong when the ghost and the reflection merge or separate,and this situation infuences the oilfield exploration and development seriously.In order to analyze the characteristics of the seismic data acquisition environment and acquisition,the authors chose the wavelet method to remove the ghost wave by Echos (software of seismic data processing)processing platform.According to the acquisition parameter,the wavelet was designed for calculating the de-convolution factor which was applied to the actual seismic data.After the application,the notch points were compensated effectively.The results show that the ghost wave is effectively attenuated both on the shot and on stack profile,and the quality is effectively improved,which is benificial to the tectonic interpretation and reservoir research.
|
|
Received: 08 October 2016
Published: 20 October 2017
|
|
|
|
|
|
| [1] |
CHEN Xiu-Juan, LIU Zhi-Di, LIU Yu-Xi, CHAI Hui-Qiang, WANG Yong. Research into the pore structure of tight reservoirs:A review[J]. Geophysical and Geochemical Exploration, 2022, 46(1): 22-31. |
| [2] |
SHI Lei, GUAN Yao, FENG Jin, GAO Hui, QIU Xin-Wei, QUE Xiao-Ming. Multi-level division method of flow units for accurate permeability assessment of glutenite reservoirs:A case study of reservoir W53 of Paleogene Wenchang Formation in Lufeng oilfield[J]. Geophysical and Geochemical Exploration, 2022, 46(1): 78-86. |
|
|
|
|
