A Real-Time LWD Data Processing Method Based on Akima Interpolation
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摘要: 为解决随钻测井实时数据采样密度不均匀造成的"黑点"及"拉直线"问题,提出了一种随钻测井数据实时处理方法.首先,利用薄层阈值法结合峰峰/谷谷比值法进行实时数据奇异点检测与剔除,消除随钻测井高频振荡干扰造成的"毛刺"现象,提高实时随钻测井曲线信噪比;然后,对实时获取的随钻测井数据进行网格化分析,利用Akima方法建立随钻测井实时数据重采样模型,实现随钻测井实时数据网格化及采样间隔等间距化处理.将该方法应用于实际的随钻测井实时数据处理,处理后的随钻实时数据与内存数据对比表明,最大相对误差10.92%,比常规方法减小6.06百分点;平均相对误差8.73%,比常规方法减小3.46百分点;相关系数0.980 8,比常规方法增大了0.040 2.研究结果表明,薄层阈值法结合峰峰/谷谷比值法及Akima方法,能解决随钻测井实时数据的"黑点"及"拉直线"问题.Abstract: A real-time LWD data processing method was proposed to address the "black spots" and "pull straight" problems caused by nonuniform sampling of real-time LWD data. Firstly, singular points of real-time LWD data were detected and eliminated utilizing the thin-layer threshold method together with peak-peak or valley-valley ratio method,and the "glitch" phenomenon caused by high-frequency oscillation of LWD was eliminated to improve the signal-to noise-ratio of real-time LWD data.Secondly,the gridding analysis was performed to the real-time LWD data that was obtained.The data gridding and equal interval resampling were accomplished through the establishment of the resampling model of real-time LWD data.The proposed method was applied in the actual LWD data processing.The comparison of processed real-time LWD data with the memory data showed that the maximum relative error and average relative error were 10.92 percent and 8.73 percent respectively,6.06 percent and 3.46 percent less than conventional method;the correlation coefficient was 0.980 8,0.040 2 more than conventional method.The results showed that the combined method of the thin-layer threshold method and the peak-peak or valley-valley ratio method together with Akima method could successfully address the "black spots" and "pull straight" problems.
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Keywords:
- Akima interpolation /
- logging while drilling (LWD) /
- data processing /
- gridding /
- resample
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