常规测井资料质量自动验收方法研究与软件应用

当前的测井资料质量验收完全靠人工完成，为了实现验收工作的自动化，开展了相关的研究工作：①利用相关分析法计算主曲线和重复曲线的深度差和相关系数，校深后逐点计算重复误差来判断曲线的重复性；②将曲线逐段拟合成直线，计算原曲线与拟合直线的相对均方差，从而判断曲线中是否存在平直现象；③将曲线的跳动异常看作一个剧烈的幅度变化与另一个反向的剧烈幅度变化的组合，在曲线上逐点求差，通过判断是否存在两个相邻且反向的剧烈变化来判断曲线是否存在跳动异常；④利用活度法进行层段划分，挑选有代表的层段，计算层段上曲线之间的相关系数，判断曲线间的对应性。在自动验收方法研究的基础上，编制了相应的自动验收软件，在实际应用中，软件验收效率高，验收结果准确客观，有推广价值

Development and application of an automatic acceptance software for conventional logging data

The acceptance of logging data is completely manual at present. In order to realize automatic acceptance of logging data, the following studies are carried out. ①The correlativity analysis method is used to calculate the depth difference and correlation coefficient between the main curve and the repeated curve. Repeating errors are calculated point by point after depth calibration and are used to determine the degree of curve repeating. ②The curve is first transformed into a straight line through fitting segment by segment. The relative mean square deviation between the original curve and the fitted straight line is then calculated and used to determine the existence of flat curve phenomena. ③A skip anomaly on a curve is regarded as an assemblage of a dramatic amplitude change and an adjacent reverse dramatic amplitude change. Their differences are obtained point by point on the curve. A skip anomaly is identified according to the existence of two adjacent but reverse dramatic amplitude changes. ④Intervals are divided by using the activity method. The representative intervals are selected to calculate the correlation coefficient between curves and to determine the correspondence of the curves. Based on a research of automatic acceptance methods, an automatic acceptance software is also developed. Application to real data shows that the acceptance efficiency is high and the acceptance results are accurate and objective.