首页> 外文会议>Abu Dhabi International Petroleum Exhibition Conference >DROPS Survey and Reporting Based on Asset Inspection Management System a Reliable Inspection Tool to Manage DROPS in Offshore Onshore Drilling Rigs, Empowering the Work Site Supervisor to Enhance Overall Efficiency of the System to Performance
【24h】

DROPS Survey and Reporting Based on Asset Inspection Management System a Reliable Inspection Tool to Manage DROPS in Offshore Onshore Drilling Rigs, Empowering the Work Site Supervisor to Enhance Overall Efficiency of the System to Performance

机译:基于资产检验管理系统的可靠检测工具进行落下调查和报告,以便在海上钻探钻井平台管理下降,赋予工作现场监督员,提高系统的整体效率

获取原文

摘要

Dropped Objects pose the number-one risk of serious injuries, fatalities, and equipment damage in several industries across the globe and is more prominent in Off shore drilling condition, where more personnel perform their duties within a confined space. Dropped Object Prevention Scheme [DROPS] is intended to be applied to operations in which Dropped Objects could cause harm to people, equipment, and/or the environment. Though Companies develop documented DROPS at relevant levels/departments within the organization as per objectives and targets developed as part of their company's existing Health, Safety, and Environment and/or operational goal-setting processes. Third Party DROPS Survey and Reporting is a catalyst to integrate & guide the scheme to meet its objectives. This paper emphasizes the importance of a robust DROPS, reinforced by repeatable and reliable DROPS Survey & Reporting, in compliance with present industry standard and at the end extend its SMARTER possibilities of expansion with use of RFID Tags and Artificial Intelligence. Our cloud-based Asset Inspection Management System "SOSINSPECTIONEERING" through which (1)Each individually identified DROPS Item shall have a Unique Asset ID,(2)Generate individual DROPS Report for each DROPS Asset, (3)Generate a DROPS Master Asset Register capturing the main features of DROPS Reports and linking it to the latest DROPS Report, (4)Option for Client to download a excel picture book with all 3 levels of Securing and a detailed item specific checklist, (5)The Check list downloaded to ‘Tab’ or any equivalent device provides the work site supervisor to use it in his/her regular verification inspection and report compliance/non-compliance report for further analysis. We are also developing the system to next level of application such as, (a)Tagging each DROPS Asset with RFID Tags, (b) RFID Tag to load with latest DROPS Report for that Asset ID, (c)Each DROPS Reports of the Asset to linked to its other documentation like (i)Manufacture Certificate; (ii)OEM/Other DATA Sheets; (iii)Latest Lifting Certificate &NDT Inspection, (d)RFID scanner with the Work Site Supervisor to Download the DROPS Report or ‘Drone’ to scan the RFID Tag to Down load the latest DROPS Report to the Remote System for verification, (e)Work Site Supervisor of Third Party DROPS Surveyor with Camera can take real time Photos to edit the DROPS Report and modify the ‘Photo Book’ in real time, (f)similarly Camera fitted in a ‘Drone’ can go one step beyond the checklist to use artificial intelligence to recognize patterns and takes a probabilistic approach to verify the compliance by using more historical data.
机译:掉落的物体造成全球几个行业的严重伤,死亡和设备损坏的人数 - 在离岸钻井条件下更加突出,更多人员在狭窄的空间内履行职责。删除对象预防方案[滴]旨在应用于丢弃物体可能对人,设备和/或环境造成伤害的操作。虽然公司在组织内​​的相关水平/部门制定文件下降,但由于作为公司现有的健康,安全和环境和/或运营目标设置流程的一部分开发的目标和目标。第三方跌落调查和报告是一项融合和指导该计划以满足其目标的催化剂。本文强调强有力的滴剂,可重复且可靠的下降调查和报告加强,遵守现在的行业标准,最后扩大了越来越聪明的扩展可能性,使用RFID标签和人工智能。我们基于云的资产检查管理系统“SOSINSPOCUSIENTING”通过(1)每个单独识别的液滴项目应具有唯一的资产ID,(2)为每个液滴资产生成单个丢弃报告,(3)生成跌落主资产寄存器捕获Drops报告的主要功能并将其链接到最新的Drops Report,(4)客户端以下载Excel Picture Book,其中包含所有3级的安全和详细的项目特定的清单,(5)下载到“选项卡”选项卡'或任何等效设备都提供工作现场主管在他/她的常规验证检查中使用它,以便进一步分析。我们还将系统开发给下一个应用程序,例如(a)使用RFID标签标记每个丢弃资产,(b)RFID标签用最新的DOPL报告为该资产ID的报告,(c)每个丢弃资产的报告与其其他文档相关联(i)制造证书; (ii)OEM /其他数据表; (iii)最新提升证书和NDT检查,(d)与工作站主管的RFID扫描仪下载掉落报告或'无人机'扫描RFID标签向下加载到远程系统的最新滴加报告进行验证,(e)第三方的工作现场主管用相机掉落测量师可以实时照片来编辑液滴报告并实时修改“照片预订”,(f)同样在“无人机”中安装的相机可以超出清单之外的一步使用人工智能来识别模式,并采用概率方法来验证使用更多历史数据。

著录项

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号