基于Backus等效平均的测井资料尺度粗化方法研究
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摘要
三维地震资料具有全面反映地下地质信息的能力,而测井曲线则精确地反映了井点处的储层和岩石物理信息,两者之间在尺度上的差异对地震尺度下的储层预测和流体识别提出了挑战。为了对小尺度的测井曲线进行尺度粗化并探讨其在地震尺度下的岩石物理特征,采用Backus等效平均方法开展了测井资料的尺度粗化方法研究。介绍了基于Backus等效平均的尺度粗化方法;讨论了滑动时窗扫描、参考频率和重采样厚度等关键参数对尺度粗化结果的影响;在此基础上对比分析了测井曲线尺度粗化前、后的岩石物理特征,讨论了不同尺度下岩石物理特征分析结论之间的联系与差异。通过等效平均的方法实现测井曲线的尺度粗化,得到可以与地震尺度相比拟的岩石物理分析结论,对于完善地震尺度下基于井震结合的叠前地震反演与储层预测具有重要意义。
3Dsurface seismic data has the advantage of comprehensive exploration for the subsurface geology body relatively,while well logging curves present the reservoir and petrophysical information at the borehole location.It is a big challenge for the reservoir prediction and fluid identification because of the scale difference between surface seismic data and logging data.As to the upscaling of logging curve for petrophysical characteristics research at the seismic scale,the Backus equivalence averaging method is adapted to the upscaling of logging data in this paper.Besides the method of logging curves upscaling based on Backus equivalence averaging,the key parameters of slide sweeping time window,reference frequency and the resample thickness are discussed for the effects of the upscaling method.The petrophysical characteristics from logging curves before and after upscaling are analyzed and compared.The relation and the difference for the raw logging curves and upscaling results have been discussed.The petrophysical analysis conclusions under seismic scale is benefical to the prestack seismic inversion and reservoirs prediction based on the combination of seismic data and logging data.
引文
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