井眼垮塌和泥岩层蚀变下的密度和声波环境校正
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摘要
针对准噶尔盆地地层泥岩垮塌和泥岩层蚀变对密度和声波测井值的影响,首先提出垮塌蚀变指数概念,进而针对不同影响程度,提出了经验公式校正、正演校正及神经网络校正方法,将上述方法应用到地震标定和波阻抗反演中,使得合成地震记录与井旁地震道的相位与能量的对应关系及反演中砂体的预测更加准确。
The acoustic and density logging values have been influenced by wellbore collapse and mudstone alteration in Junggar basin. To solve this problem,firstly,the concept of collapse and alteration exponent has been put forward.In terms of the influence extent, the density and sonic logging data are corrected with empirical formula,forward modeling and neural net.Through the application of the above correction method to seismic calibration and wave impedance inversion,it is more accurate in forecasting the phase and energy corresponding relationship between synthetic seismogram and seismic trace near a well,and more accurate in forecasting sand body.
引文
[1]陈钢花,王永刚.水基泥浆的侵入对声波测井曲线的影响及校正[J].石油物探,2005,44(6):104-113.
    [2]孙中春,顾振刚,黎军,等.严重垮塌井眼条件下测井资料的校正方法[J].新疆石油地质,2006,27(5):559-561.
    [3]杨斌,匡立春,孙中春,等.神经网络及其在石油测井中的应用[M].北京:石油大学出版社,2005.

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