神经网络技术在测井曲线重构中的应用

Application of Neural-network Technology in Reconstructing Logging Curves

由于受地质和钻井技术条件所限,探井多存在井眼垮塌现象,影响了测井曲线的质量。在制作合成地震记录的时候,消除井眼垮塌对测井曲线的影响,得到反映地层真实物性的曲线成为首要问题。基于神经网络技术的测井曲线重构技术改善了合成地震记录质量,得到了不错的效果。

Because of the limitation of the geologic conditions and drilling technology,the exploration wells were often collapsed in the borehole,which influenced the qualities of the logging curves.When making synthetic seismic record,it was very important to eliminate the influence of borehole collapse in logging curves and obtain curves that could actually reflect the physical property.The logging curve reconstructing technology based on neural-network is used,the quality of seismic and synthetic record is improved apparently,good result is obtained.