摘要
自然伽马能谱测井是根据地层中铀、钍、钾等天然放射性矿物发出的自然伽马射线的能谱确定相应元素含量的测井方法,在油田广泛用于评估地层粘土和泥质含量,谱数据处理是该测井方法的关键。本文结合作者在数控测井系统配接能谱仪器的经验,详细介绍了剥谱法、逆矩阵法和最小二乘法的解谱原理,给出了基于最小二乘法的五能窗解谱测井原理及具体实现方法,并与三能窗进行了测井效果对比,在矿化度较低和重晶石含量较高的地层中能够有效地计算钾、铀、钍的含量,符合现场地质解释。目前这一方法已经在多种地面系统得到验证,在四川、青海等油田取得良好的测井效果。
Spectrum Gamma Ray （SGR） logging method is a newly pulse nuclear logging, it has been widely used in the oil field to estimate the porosity and lithology of the formation. The processing of spectrum data is a key problem for the SGR logging. The purpose of this paper is to describe the logging methods and the principles of spectrum skipping, especially spectrum processing methods based on the least squares algorithm. The compliment and instance are given at the end in which some methods such as 3 and 5 energy windows are used to get the best logging curves in the fields.
出处
《核电子学与探测技术》
CAS
CSCD
北大核心
2008年第4期796-800,共5页
Nuclear Electronics & Detection Technology
关键词
自然伽马能谱测井
测量
实现
剥谱
逆矩阵
最小二乘法
Nature Gamma Spectrum logging
Measurement
Compliment
Spectrum Skipping
Matrix
Least Squares Algorithm
