首页> 外文会议>International pipeline conference >IMPLEMENTING AN ALGORITHM AND TRAINING THE CONSOLE OPERATORS OF THE TRANSPETRO INTEGRATED GAS PIPELINE NETWORKS FOR DECISION- MAKING IN SCENARIOS OF HIGH PSYCHOLOGICAL PRESSURE
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IMPLEMENTING AN ALGORITHM AND TRAINING THE CONSOLE OPERATORS OF THE TRANSPETRO INTEGRATED GAS PIPELINE NETWORKS FOR DECISION- MAKING IN SCENARIOS OF HIGH PSYCHOLOGICAL PRESSURE

机译:实施算法并训练Transspetro集成气体管道网络的控制台算子,以进行高心理压力场景的决策

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The National Control and Operation Center (CNCO) of Petrobras Transporte S.A. - TRANSPETRO - is responsible for the remote and uninterrupted operation (24 hours a day and 7 days a week) of approximately 7,100 km of gas pipelines, including 11 compression stations and around 135 city-gates. Its Control Room, located in the Head Office of the company in Rio de Janeiro, is composed of a structure of five consoles, monitored by a team formed by four operators and one supervisor. The purpose of this work is to present and discuss the implantation of a systemic tool that enables the decision-making of the CNCO operators in scenarios of high psychological pressure, so as to incorporate the values of the organization relative to the environment, safety, the assets of the company and society in general. The first step was the development of the tool, a process achieved based on an algorithm that quantifies the degree of severity of a gas leak from a set of scores and weightings attributed to ten items in a standard questionnaire. This involves factors relative to: the source of information; the time of arrival of the local emergency group or third parties; location, intensity and categorization of the leak; impacts on the community, the environment and the gas transport customer, and the internal classification of critical facilities, among others. The application of the algorithm questionnaire results in the Evaluation Index of Occurrence (EIO), whose maximum value, which reflects the worst scenario, is 1000. For values of EIO below 600, the emergency is considered to be under control. During the event, the algorithm should be calculated every 15 minutes, so that the rate of variation in the EIO is also monitored and utilized in a decision-making flowchart. Ultimately, based on a questionnaire and flowchart structure, the algorithm aims at rendering information in numbers and actions. The second stage of the work is the training of the operators, where the program is composed of a theoretical part and a practical part. The theoretical part is based on services contracted from a consultancy with recognized expertise in the Brazilian market. The practical part is carried out in a simulation environment involving our own simulator software and emergency scenarios developed by CNCO together with the consultancy. The software reproduces in different degrees of difficulty, all the conditions of a real leak and the psychological pressure involved. This process will be evaluated by a qualified instructor who will assess the progress of the operator. Finally, the work also shows how the tool is being incorporated into the operational processes of CNCO, aiming at taking action that is standardized, safe, fast and effective in the mitigation of leakage events.
机译:Petrobras Transporte SA的国家控制和运营中心(TRCO)负责大约7100公里的天然气管道的远程无间断运行(每天24小时和每周7天),包括11个压缩站和大约135个城门。它的控制室位于里约热内卢公司总部,由五个控制台组成,由四个操作员和一个主管组成的团队进行监视。这项工作的目的是介绍和讨论系统工具的植入,该工具可以使CNCO运营商在心理压力很大的情况下进行决策,从而将组织相对于环境,安全性,安全性的价值纳入考虑范围。公司和整个社会的资产。第一步是工具的开发,该过程是基于一种算法实现的,该算法根据一组归因于标准调查表中十个项目的得分和权重来量化漏气的严重程度。这涉及以下因素:信息来源;当地应急小组或第三方的到达时间;泄漏的位置,强度和类别;对社区,环境和天然气运输客户的影响,以及关键设施的内部分类等。该算法调查表的应用得出了“事件发生评估指数”(EIO),其最大值反映最坏的情况是1000。对于EIO低于600的值,则认为紧急情况已得到控制。在活动期间,应每15分钟计算一次算法,以便EIO的变化率也得到监控,并在决策流程图中加以利用。最终,该算法基于问卷和流程图结构,旨在以数量和动作呈现信息。工作的第二阶段是对操作员的培训,该程序由理论部分和实践部分组成。理论部分基于与一家在巴西市场具有公认专业知识的咨询公司签订的合同服务。实际部分是在一个模拟环境中进行的,该环境包括我们自己的模拟器软件和由CNCO与咨询公司一起开发的紧急情况。该软件以不同的难度,真实泄密的所有条件以及所涉及的心理压力进行再现。此过程将由合格的教练评估,该教练将评估操作员的进度。最后,该工作还展示了如何将该工具整合到CNCO的运营流程中,旨在采取标准化,安全,快速和有效的措施来减轻泄漏事件。

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