油气行业操作员培训模拟器的有效性研究

K. Ravikanth, P. C. Bahuguna, D. C. Glaser, Sanjay Shivalkar
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引用次数: 2

摘要

控制室操作员远程监控来自现场的过程数据,指导现场操作员,并使用高度自动化和复杂的分布式控制系统采取纠正措施。操作人员必须在过程中出现异常情况时进行干预,使操作达到安全状态。人为错误仍然是造成工业损失的主要原因,通过培训和能力发展来预防或解决这些问题是一项挑战。操作员培训模拟器在行业中广泛使用,为操作员提供实际操作培训。通过预先定义标准评估模型,认真分析模拟器训练效果,是保证训练成功的方法之一。模拟器培训提供了对不同流程逻辑关系的理解,以便能够在问题升级之前准确识别并快速响应问题。在当前的低油价环境下,企业在培养优秀员工以维持业务方面面临着许多挑战。本研究的结果再次强调需要开发与模拟器配置相结合的培训评估模型,以有效地分析每次培训的预期结果。这可能会进一步减少油气行业的操作错误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study of Effectiveness of Operator Training Simulators in the Oil and Gas Industry
Control room operators remotely monitor the process data coming from the field, guide field operators and take corrective actions using highly automated and complex distributed control systems. Operators have to intervene during abnormal conditions in the process and bring operations to safe conditions. Human errors remains the top contributor for industrial losses and the challenge is to prevent or address them by training and competency development. Operator training simulators are widely used in the industry to provide hands-on training to operators. Carefully analyzing simulator training effectiveness by predefining standard evaluation models in advance is one method to address the success of the training. Simulator training provides an understanding of the different process logical relationships in order to be able to accurately identify and quickly respond to problems before they escalate. In the current low oil price environment, organizations are facing number of challenges in developing exceptional workforce to sustain the business. The findings of this study re-emphasizes the need to develop training evaluation models integrated with the simulator configuration to effectively analyze the desired outcomes of each training session. This might further contribute to the reduction of operational errors in the hydrocarbon industry.
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