Abstract：Radioactive anomaly is usually weak because of severe noise contamination.An important matter in the data processing of radioactive survey is how we derive useful informations from noise-contaminated weak radioactive anomaly to improve the accuracy of hydrocarbon exploration using radiometric method.A data processing optimization system is recommended，which includes the measures:normal transformation of raw data，comprehensive indicator combination，mapping out anomaly target area，and hydrocarbon reservoir prediction using the residual values of tendency analysis. The processing result of raw data from A area in Mid Sichuan province shows that this method can be used to effectively derive useful hydrocarbon informations from radioactive survey data.
王湘云, 石玉春, 武耀诚, 阎明. 放射性方法勘查油气藏的数据处理优化系统[J]. 石油地球物理勘探, 1994, 29(3): 388-395.
Wang Xiangyun, Shi Yuchun, Wu Yaocheng, Yan Ming. Data processing optimization system for hydrocarbon reservoir exploration using radiometric method. OGP, 1994, 29(3): 388-395.
