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Results
The Elementary Event-pursuit Method of Fitting Seismic Traces With Well Logs
Liu, Hongwei (Institute of Geology and Geophysics of Chinese Academy of Sciences) | Liu, Hong (Institute of Geology and Geophysics of Chinese Academy of Sciences) | Qin, Yueshuang (the Exploratory development Institute of Daqing Oilfield Limited Liability Company)
Summary The events in the seismic profile could form a complex network. In this paper, we present a new method of fitting seismic traces and well logs which is called event-pursuit method. The method is based on a flattening operation using instantaneous phase and the seismic traces could be compared in the same phases. By comparing the seismic traces and well side traces, we could get the coefficients to extrapolate the well logs. As a result of the extrapolation, the resolution of the seismic traces is enhanced,the events are continuous and fit well with well logs. We use this method to Daqing’s data and get a good result. Introduction The vertical resolution of well logs is very high compared to seismic data. So if we want to extrapolate these well logs to a region to make a miscellaneous investigation of the lithology, physical property and oil possibility, we would have to combine the seismic data and well logs together. However, despite the highly vertical resolution, the horizontal detective range of well logs is very small. Although seismic data could transversally trace the layer information continuously, it has low vertical resolution because of its low frequency band. The information from the seismic traces and well logs could not fit well horizontally and vertically, so we could not compare them directly. In this situation, we must try to solve the fitting problem of seismic data and well logs. The fitting means that we must enhance the frequency band of the seismic traces and then fit with the well logs near each well. There are two problems in this action: the first one is that the seismic traces near the wells could not fit well logs; the second one is the events could not go continuously far away. There are some papers talking about this problem. John B. DuBose Jr (1995) designed adaptive fitting filters which are time variant to do the fitting and later he added a weak nonlinear effect and an approximate correction was proposed to ultimately obtain better fitting by expanding the basic error function (John B. DuBose Jr, 2005). Hongliu Zeng (2005) used 90°-phase wavelets to optimize thin-bed interpretation. There are also some other papers about this problem (Hongliu Zeng, 2004 and Mushin I.A., 2000). All these methods are based on the theory of stratiform model and so they have some short-comings. As shown in figure 1, the stratiform model theory could not preserve the non-stratified events while creating some pseudo-layered ones. In fact, the events in the seismic profile could form a complex network (Kongqing Yang, 2004; Baihua Gong, 2005; Liang Huang, 2006) and to solve this problem is not that easy. Our method is based on the complex network theory and event-pursuit but in this paper, we present an elementary research of the problem which is based on a flattening operation using instantaneous phase and the seismic traces could be compared in the same phases.
- Asia > China > Heilongjiang > Songliao Basin > Daqing Field > Yian Formation (0.99)
- Asia > China > Heilongjiang > Songliao Basin > Daqing Field > Mingshui Formation (0.99)
Event Model For Inclined Incident Multiples And Spectral Factorization
Yuan, Jiang-Hua (Institute of Geology and Geophysics, Chinese Academy of Sciences) | Liu, Hong (Institute of Geology and Geophysics, Chinese Academy of Sciences) | Li, You-Ming (Institute of Geology and Geophysics, Chinese Academy of Sciences) | Chen, Shu-Min (Exploration & Development Institute of Daqing Oil Field) | Niu, Yan-Liang (Exploration & Development Institute of Daqing Oil Field) | Liu, Guo-feng (China University of Geosciences)
ABSTRACT Firstly, the deduction of prediction equation for inclined incident multiples under horizontally layered condition is reviewed briefly. Secondly, based on that equation, event model for generalized Goupillaud layers is put forward which not only describes primary waves but also multiples, even diffraction waves if using prediction equation for laterally variable velocity. Thirdly, to solve the prediction equation, numerical research for both Kolmogorov and Wilson-Burg-Fomel schemes with helical coordinates is carried out. Although the latter is more accurate, it is to some extent also a time-consuming one. In order to find a quick way, Kolmogorov scheme has been improved so as to develop it into a way for prediction spectral factorization where truncation problem has been tackled.
- Asia > China > Heilongjiang > Songliao Basin > Daqing Field > Yian Formation (0.99)
- Asia > China > Heilongjiang > Songliao Basin > Daqing Field > Mingshui Formation (0.99)