Researches on Qualitative Recognition of Flushed Zone in Q Block on Deep Forest

3rd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Su, Rui^1

College of Geosciences, Northeast Petroleum University, Daqing Heilongjiang

163318, China^1

关键词: Application performance;    deep forest;    Forest modeling;    Layer by layer;    Logging curve;    Morphometric parameters;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/300/2/022077/pdf
DOI  :  10.1088/1755-1315/300/2/022077

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In this paper we propose a method on qualitative recognition of flushed zone. We extract the morphometric parameters of logging curves to better reflect the change relations. We use deep forest model which learns the representation layer by layer. The model is more robust and have a higher accuracy than other model. This method has an excellent application performance in Q block.