放射性方法勘查油气藏的数据处理优化系统

Data processing optimization system for hydrocarbon reservoir exploration using radiometric method

放射性异常一般比较微弱，而且干扰因素多。如何从微弱的异常中排除干扰因素，提取有效信息，提高放射性勘探的精度，是放射性测量数据处理的主要问题。本文提出从实测数据正态转换入手，经综合方法指标组合、异常靶区圈定、利用趋势面分析的剩余值进行油气远景预测的数据处理优化系统。通过川中A地实测数据处理验证，该系统能有效地从放射性测量数据中提取油气信息。

Radioactive anomaly is usually weak because of severe noise contamination.An important matter in the data processing of radioactive survey is how we deriveuseful informations from noise-contaminated weak radioactive anomaly to improvethe accuracy of hydrocarbon exploration using radiometric method.A data processing optimization system is recommended, which includes themeasures: normal transformation of raw data, comprehensive indicator combina tion, mapping out anomaly target area, and hydrocarbon reservoir prediction usingthe residual values of tendency analysis. The processing result of raw data from Aarea in Mid Sichuan province shows that this method can be used to effectively de rive useful hydrocarbon informations from radioactive survey data