Autonomous Robot for Gas and Oil Sites

Author:

Kydd Kris1,Macrez Serge1,Pourcel Pascal1

Affiliation:

1. Total E&P

Abstract

Abstract Robotics has the potential to transform the way operations in the Oil & Gas (O&G) industry are performed in the future. The launch of an international robotics competition called the ARGOS (Autonomous Robot for Gas and Oil Sites) challenge, based on a selective contest between world class robotics consortiums is a bold way of pushing the emergence of technological solutions. In return the robotics community will become more aware of the specificities and safety requirements of the O&G industry. Having various teams competing allows different designs to be tested, fostering strong innovation and collaboration between individual consortiums. Surface robotics presents two potential major impacts: Health, Safety and Environment (HSE) (reduction of risk to personnel, environment and installation) In emergency situations: be deployed much sooner than a human to interrogate sources of leak from remote locations, therefore reducing or eliminating human intervention In high risk areas: faster detection of leaks leading to a minimization of exposure to operators. Operational (cost reduction, efficiency increase and production) In harsh and hostile environments: ability to perform tasks where operators have limited capacity to intervene In difficult access locations: primary investigation without human presence could lead to gains in availability, time savings, and transport resources. During a series of three competitions, teams will be evaluated through the capacity of their robot to move around a human engineered competition site, representative of a typical onshore/offshore production facility, performing reporting tasks in different scenarios (routine inspection and emergency) using different autonomy levels. The technical solutions will be adapted to O&G industry specific safety requirements on practical grounds: mobility on production sites and potentially explosive atmospheres. Due to the nature of the O&G Industry and geographical locations, constraints are forced upon production installations such as tough atmospheric and stringent operating conditions. O&G operators have only recently begun researching surface robotics including the SENSABOT application, (NREC/CMU, 2012), a mobile inspection robot developed by Carnegie Mellon University. Building upon research already carried out and technology already developed, the ARGOS challenge aims to expand on this to create the next generation of autonomous robots for the O&G industry.

Publisher

SPE

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3