论文部分内容阅读
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 abnormalities are generally relatively weak, and interfere with many factors. How to eliminate interference factors from weak anomalies, extract effective information and improve the accuracy of radioactive exploration are the main problems in the processing of radioactive measurement data. In this paper, we start with the normal conversion of measured data, and optimize the data processing system based on the combination of comprehensive method indicators, delineation of abnormal targets and the residual value of trend surface analysis. Through the verification of the measured data of A in Sichuan Province, the system can effectively extract the oil and gas information from the radiometric data.