煤田地质与勘探2018，Vol.46Issue(1)：165-169,5.DOI:10.3969/j.issn.1001-1986.2018.01.028
随钻测井中岩性识别方法的对比及应用
Comparison and application of LWD lithology identification method
摘要
Abstract
Lithology identification is the basis of formation recognition and reservoir parameter calculation,and the traditional lithology identification method can not meet the needs of actual production because of the complexity and heterogeneity of sedimentary environment.Aiming at the problem of traditional identification method such as the fault tolerance ability is poor,the degree of automation is low and the interpretation accuracy is low.By using the neural network autonomous learning prediction analysis method,the comparison study of several popular lithologic identification methods,a more suitable field practical method was applied to the drilling system.The study found that in the case of the same prediction method and well logging curve,the more the number of standard stratigraphie samples is,the higher the correct rate.By comparing probabilistic neural networks method in the application in the production of better effect,the recognition accuracy rate was high,training and recognition time was the shortest,a high level of recognition can be still maintained when less logging data are got.关键词
随钻测井/岩性识别/神经网络/PNNKey words
LWD/lithology identification/neural network/PNN分类
天文与地球科学引用本文复制引用
陈刚,汪凯斌,蒋必辞,王小龙..随钻测井中岩性识别方法的对比及应用[J].煤田地质与勘探,2018,46(1):165-169,5.基金项目
国家科技重大专项课题(2016ZX05045-003) （2016ZX05045-003）
国家自然科学基金项目(51774320)National Science and Technology Major Project(2016ZX05045-003) （51774320）
National Natural Science Foundation of China(51774320) （51774320）
