提取油气田伽玛能谱弱异常方法研究

1988年在任丘油田100km~2范围内进行地面伽玛能谱测量。为减小随机干扰,采用最小二乘圆滑、加权游动平均对原始数据进行处理。结果表明加权游动平均方法效果较好。为进一步突出找油信息。采用趋势分析、组合变量和聚类分析方法对数据进行处理,并在此基础上提出了以聚类分析为基础的航空伽玛能谱数据归一化方法。用该方法对航空能谱数据进行处理,测区内三个已知油田在归一化图上都有明显低值反映。其中位于高场中的低值异常在原始图上则很难辨别出来。

ON THE METHODS OF DRAWING GAMMA-RAY SPECTROMETRY ANOMALIES OVER OIL FIELD

Airborne and surface gamma-ray spectrometry were measured in Renqiu Oil Field. Least square smooth mehtod and weighted smooth mean method were used in the data processing. The result of the latter is better than that of the former. In order to acquire men, information from the data, trend surface analysis, composite variables and cluster analysis were used to reduce the data. A new normalizing mehtod based on the cluster analysis was put forward with which anormalized map of airborne spectrometry data had been compiled. On this map, three parts of low value indicate the positions of three oil fields and two of them are hardly distinguished on original profile and contour maps.