Well logging and well-side seismic data matching based on step-by-step iterative method
Song Jianguo1, Cheng Liang1, Meng Xianjun2, Wei Guohua2
1. School of Geosciences, China University of Petroleum (East China), Qingdao, Shandong 266580, China;
2. Geophysical Institute, Shengli Oilfield Branch Co., SINOPEC, Dongying, Shandong 257022, China
Abstract:It is difficult to match well logging data with well-side seismic data in seismic frequency band. We propose here a step-by-step iterative method for this purpose. The method consists of the following steps. ①We calculate an initial reflection coeffecient from well logging data, then extract an initial seismic wavelet from a well-side seismic trace with auto-correlation; ②With constraint of the initial wavelet, we extract new seismic wavelet from the well side seismic trace; ③With constraint of the initial reflection coeffecient, we extract new reflection coeffecient from the well side seismic trace; ④If the convolution of the new seismic wavelet and the reflection coeffecient do not match with the well-side seismic trace, we replace the intial seismic wavelet with new seismic wavelet, and the initial reflection coeffecient with new reflection coeffecient, and then back to the step ②. This step-by-step iterative process is repeated until the synthetic seismogram convolved by reflection coeffecient and seismic wavelet consistent with the well-side seismic trace. This method downgrades logging data frequency so logging data in the mid and low-frequency range can be matched with surface seismic data. Then Ricker wavelet convolves with matched reflection coeffecient to construct pseudo cross-well data. The pseudo cross-well data can improve 3D seismic data resolution with joint frequency expanding method.
Hong Xuehai. The application of the phase-match filter and frequency-domain Wiener filter in processing the seismic signal. Numerical Method and Computer Application, 2004, 25(1):3-12.
[6]
Song J G, Li Z C, Wang Y G et al. Joint frequency expanding method of crosswell seismic data and 3D seismic data. SEG Technical Program Expanded Abstracts, 2010, 29:1457-1461.
Zhang Yufen, Li Taoshan, Liu Xiaoxi et al. Application of multiparameter-constrained high resolution processing method in Dongpu depression. GPP, 1999, 38(1): 115-120.
Li Hui. Research on Joint Widening the Frequency Band Controlled by Spatial Variation of Matching Factor in Signal Domain [D]. China University of Petroleum(EastChina), Dongying, Shandong, 2008.
[11]
李曦宁.基于声波测井的拓频方法研究[学位论文].浙江杭州:浙江大学,2013.
Li Xining. Study on Seismic Frequency Expanding Technique Based on Acoustic Logging[D]. Zhejiang University, Hangzhou, Zhejiang, 2013.
Chen Wenchao, Wang Wenbing, Gao Jinghuai et al. Matching of seismic with sonic log using the theory of multiresolution approximation. Chinese Journal of Geophysics,1999, 42(S): 219-224.
[13]
高荣涛.井地资料多尺度匹配方法研究[学位论文]. 山东东营:中国石油大学(华东), 2007.
Gao Rongtao. Research of Mutli-scale Matching Methods for Well and Seismic Data[D]. China University of Petroleum(EastChina), Dongying, Shandong, 2007.
[14]
Herrera R H, Van der Baan M. A semiautomatic method to tie well logs to seismic data. Geophysics, 2014, 79(3):V47-V54.
Han Xingji, Yang Wencai, Wu Yonggang. Seismic and acoustic logging data matching.OGP,1995,30(S2):27-33.
[16]
Walden A T, Hosken J W J. Tutorial: Choosing the averaging interval when calculating primary reflection coeffidents from well logs. Geophysical Prospecting, 1988, 36(8):799-824.
Zhang Guangzhi, Liu Hong, Yin Xingyao et al. Collation method research of acoustic logging data in seismic interpretation.Progress in Geophysics,2011,26(6):2055-2063.