Hampson russell well tie
White (1988) proposed to estimate the phase of a seismic wavelet by integrating themaximum kurtosis theory.
This technique does not need to assume the phase characteristics of a seismicExploration Geophysics of 67wavelet. Manytechniques have been developed to identify the phase seismic wavelet phase spectrum.Compared to the amplitude spectrum estimation of seismic wavelets, determining the phasespectrum is far more difficult and significantly affects seismic inversions (Hampson, 2007).Wiggins (1978) estimated the phase of seismic wavelet through the minimum entropydeconvolution. Van der Baan (2008) illustratedthat the phase mismatch might result in incorrect horizon picking or seismic well tying.
Statistical wavelets assumethat the autocorrelations of amplitude spectra of the seismic data are approximately equal to theOnseismic wavelet (Yilmaz, 2001).lyThe determination of the phase spectrum of a seismic wavelet is as important as thedetermination of the amplitude spectrum of a seismic wavelet. Most of the statistical wavelet estimations are basediewon the assumption that seismic traces are a convolution of the earth’s reflectivity and atemporally and spatially invariant zero or minimum phase wavelet.
Statistical wavelets can be estimated from only theevseismic data without appealing to well logs. Waveletestimation using well and seismic data incorporates the “prior” reflectivity information in therRwavelet estimation (Richard et al., 1988). The deterministic methodsrequire that a seismic-well tie already exists, while the statistical method extracts an averageFowavelet from a specified window of 3D seismic data (Edgar and van der Baan, 2011). Wavelet estimation methods can be classified into three main categories: (1) directlydeterministic measuring the wavelet, (2) statistically extracting the wavelet from the seismic dataand (3) extracting the wavelet by using well-log and seismic data. The determination of a seismic wavelet includes amplitude and phase spectrumestimation. We repeat the wavelet estimation using well and seismic data, phaseOnrotation, automatic seismic well tie, and time-depth updating procedures until the difference oflywavelets, and time-depth relationships in the current and previous iteration is smaller than a userdefined threshold.Keyword: Seismic well tie, Wavelet, Phase, DTW of 67Exploration GeophysicsINTRODUCTIONSeismic wavelet estimation is one of the key procedures for seismic interpretation andinversion. We nextupdate the time-depth relation according to the result of best seismic well tie (the maximumcorrelation coefficient). The phase, which reaches the maximum correlation coefficient betweeniewsynthetic and seismic data, is regarded as the best phase for wavelets in each iteration. To obtain thebest phase for the extracted wavelet using well and seismic data, we rotate the phase of therRwavelet according to a user-defined increment and perform automatic seismic well tying for eachevphase-rotated wavelet. We then extract a newFoseismic wavelet with constant phase by using the well and seismic data together. Ourworkflow begins with statistical wavelet estimation and seismic well tie. In this paper, wedevelop a workflow to determine the constant phase of estimated wavelet automatically. Huge efforts have spent on seismic wavelet estimationand determining amplitude and phase spectrum is a time consuming task. Exploration GeophysicsThe determination of the constant phase of seismic waveletusing automatic seismic well tyingJournal:EG17161.R2FoManuscript IDExploration GeophysicsManuscript Type:Complete List of Authors:Wu, Hao University of Alabama, Geological Scienceszhang, bo University of Alabama, the Department of Geological SciencesCao, Danping China University of Petroleum (East China), School ofGeoscienceevKeyword:1rRDate Submitted by the Author:Research PaperPhase, WaveletiewlyOn of 67Exploration GeophysicsThe determination of the constant phase of seismic wavelet using automatic seismicwell tyingHao Wu1, Bo Zhang1, and Danping Cao22The University of Alabama, Department of Geological ScienceFo1China University of Petroleum (East China), School of and Zhangl圜orresponding author:The University of Alabama, Department of Geological s/egĮxploration Geophysics of 67ABSTRACTSeismic wavelet estimation is the bed rock for the seismic well tying and seismicinversion but remains a challenging task.