Visual selection of standard wells for large scale logging data via discrete choice model

Chen Shi, Zhiguang Zhou, Miaoxin Hu, Yuhua Liu

Abstract: Highlights•A new blue noise sampling is proposed to preserve the spatial distribution of standard wells.•A stratigraphic correlation model is designed to estimate the similarity between wells.•A discrete choice model is used to select standard wells with stochastic utility maximization.•A visualizaiton framework is implemented enabling users to visually select and evaluate standard wells.