FORCE 2020 Well well log and lithofacies dataset for machine learning competition

This well log dataset from 118 wells in the Norwegian Sea that has been used in the FORCE 2020 machine learning competition with seismic and wells to predict the lithofacies using machine learning models. The well logs have been slightly cleaned up and partially despiked. The lithofacies and lithology interpretation has been hand crafted using skilled geoscientists (Thanks to Explocrowd for excellent work). For citation in addition to the DOI please also refer to the github repository where the documentation and trained models reside https://github.com/bolgebrygg/Force-2020-Machine-Learning-competition The original well log data comes form the Norwegian government and is provided by a NOLD 2.0 license本数据集包含挪威海118口井的测井（well log）数据，曾被用于FORCE 2020机器学习竞赛，该竞赛结合地震数据与测井资料，依托机器学习模型完成岩相（lithofacies）预测任务。该批测井数据已进行轻度清理与部分去尖峰处理。岩相与岩性（lithology）解释均由资深地质学家手工完成（感谢Explocrowd团队的出色工作）。如需引用本数据集，除已提供的数字对象标识符（DOI）外，还请参考其文档与训练模型所在的GitHub仓库：https://github.com/bolgebrygg/Force-2020-Machine-Learning-competition。原始测井数据源自挪威政府，采用NOLD 2.0许可协议发布。