High integrity wellbore surveys: methods for eliminating gross errors

High integrity wellbore surveys: methods for eliminating gross errors
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高完整性井筒测量:消除粗差的方法

DOI:
10.2118/105558-ms
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发表时间:
2007
影响因子:
1.3
通讯作者:
Kazimir Kovalenko
Kazimir Kovalenko
中科院分区:
计算机科学3区
文献类型:
--
作者:
Roger Ekseth;Torgeir Torkildsen;Andrew G. Brooks;J. Weston;Erik Nyrnes;H. Wilson;Kazimir Kovalenko

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-尽管第二次独立调查不能单独确定所有潜在的错误,但它仍然是最强大的外部数据QC检查。-使用统计检验来确保定向测量具有与应用的误差模型相兼容的精度。仅以单一来源井下数据为基础的内部质量控制检查不足以完全验证调查的误差模型(见SPE 103734)。-约翰·韦斯顿,SPE-Roger Ekseth,SPE-Kazimir Kovalenko,SPE
□ Although a second independent survey cannot separately identify all potential errors, it is still the most powerful external data QC check. □ Statistical tests are used to ensure that directional survey measurements have an accuracy that is compatible with the applied error model. Internal QC checks, which are based only on single-source downhole data, are not sufficient to fully validate a survey against its error model (see SPE 103734). – John Weston, SPE – Roger Ekseth, SPE – Kazimir Kovalenko, SPE