基于定量荧光谱图形态相似度的油层识别方法  

Method of identifying oil layers based on morphologic similarity of quantitative fluorescence spectrogram

作　　者：吕鹏福 阎治全 武钢[3] 赵腾[4] 董洪伟 毕寅飞 

机构地区：[1]中国石油大庆钻探工程公司地质录井一公司 [2]天津陆海石油设备系统工程有限责任公司 [3]中国石油大港油田公司第四采油厂 [4]中国石油大港油田公司第三采油厂

出　　处：《录井工程》2017年第2期39-41,55,共4页Mud Logging Engineering

摘　　要：定量荧光样品分析时,需要确定油层及刻度曲线,这需要分析人员具备地层识别能力,而且对于区域地层构造了解不清晰或地层复杂时,其确定难度较大。通过分析待测样品与原油谱图形态相似程度,实现智能判断原油层位及进行刻度曲线选择,提高了定量荧光分析的准确性。该方法实现了油层的智能识别,不需要人工判断原油层位及进行刻度曲线选择,便于在油田现场录井作业中推广和应用。Quantitative fluorescence sample analysis requires determination of reservoir and calibration curves.This requires the analyst to have the ability of formation identification,moreover,it is difficult to determine the formation when the regional stratigraphic structure is complex or not clear.By analyzing the similarity degree between the testing sample andcrude oil spectrogram,the intelligent judgment of crude oil horizon and calibration curve selection can be realized,improving the accuracy of quantitative fluorescence analysis.The method realizes the intelligent identification of oil layers,no artificial judgment of crude oil horizon and calibration curve selection are required,it is easy to popularize and apply in field logging operation.

关 键 词：定量荧光 谱图形态 油层识别 刻度曲线识别 

分 类 号：TE311[石油与天然气工程—油气田开发工程]