Workflow for Volumetric Uncertainty and Sensitivity Analysis of Machine Learning-Interpreted Seismic Horizons at the Smeaheia CO2 Project Site

已完结 10 由 lyy 发布于 2026/2/12 2:28:03

DOI:10.1111/1365-2478.70119
作者：Min Je Lee, Yonggwon Jung, Jun-Woo Lee, Yongchae Cho
文献类型：期刊论文
补充材料：只需要正文

Wiley

Abstract： As demand for large-scale seismic data interpretation tasks increases, machine learning-based horizon autotracking methods have gained attention in the geological and geo

应助信息

7小时前

pinghao

4775561307ab11f1b61d34735aa3bc31.pdf 已采纳

14小时前

Book学术机器人

2026/2/12 2:28:03 未找到该文献，机器人已退出，请等待人工下载

2026/2/12 2:28:03 Book学术AI机器人收到请求，开始寻找文献

2026/2/12 2:28:03 已向机器人发送请求

14小时前

lyy 发布求助

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:American Chemical Society (ACS)III–V Compound Semiconductor Nanowire Arrays for Sensor Applications─A Review