摘要
王大力，何清源．人工神经元网络测井解释软件系统．测井技术，１９９４，１８（４）：２５７～２６４在复杂岩性地层的测井解释中，常规的方法常把岩石的矿物成分设想得比较简单，评价地层岩性时需要大量的人工分析。本文提出运用人工神经元网络理论的测井解释软件系统。系统用自然伽玛能谱测井，结合实验室资料可准确确定粘土类型和求出粘土含量。选用了一种稳定性好、快速的优化算法，使用孔隙度测井资料求出孔隙度值，整个系统算法上力求快准、解释上力求尽可能减少人工干预，该软件系统经试用效果较好。
In log interpretation of complex lithologic formation,the mineral composition'of rock is often said to be simpler than it is according to conventional interpretationtechniques,and much analyst intervention is needed in lithology evaluation. Therefore, a log interpretation software system with artificial neural network is developed. The system uses spectralog and laboratory data to determine the type of clayand clay content. An optimum algorithm,which is stable,fast and has less analystintervention, is introduced for porosity calculation. The system has proved to begood'
出处
《测井技术》
CAS
CSCD
1994年第4期257-264,共8页
Well Logging Technology
关键词
测井解释
神经网络
软件
neural network
log interpretation
spectralog
optimization
