Data for: A methodology for building a data-enclosing tunnel for automated online-feedback in simulator training

The data was generated randomly, based on different combinations of possible actions in the dynamic simulator K-Spice from Kongsberg Digital. In case study 1, the aim was to increase +10 % of the oil production with respect to the initial condition value. In case study 2, the aim was to decrease -10 % of the gas production with respect to the initial condition value. The data show examples of possible correct and incorrect paths that a trainee could follow trying to solve the scenarios.

本数据集基于康士伯数字（Kongsberg Digital）开发的动态模拟器K-Spice中各类可行操作的不同组合随机生成。在案例1中，目标为相较于初始条件值提升10%的石油产量。在案例2中，目标为相较于初始条件值降低10%的天然气产量。该数据集收录了受训人员在尝试解决上述场景时，可能采取的正确与错误操作路径示例。