Asset Integrity: Managing the Maintenance Burden

Author:

Arthur Neil1,Lusher Jody2

Affiliation:

1. Rtamo

2. Omv

Abstract

Abstract The UK Oil & Gas (O&G) faces significant challenges to ensure future economic potential is maximized. Current issues include escalating maintenance backlogs, facility unreliability; an inability to liquidate production-enhancing or important asset integrity workscopes and uncertainty of the rationale justifying existing maintenance programs. This paper presents the application of a novel maintenance optimization technology that has delivered performance improvement through the deterministic consideration of both commercial and reliability criteria when determining planned maintenance intervals. Real case studies are presented alongside the concomitant benefits. The technology was used to determine an optimized planned maintenance program for deployment in both existing operations and new facilities, and has delivered benefits when compared with traditional approaches to determining maintenance intervals. The technology marries both technical and commercial considerations when determining optimized planned maintenance and, in this way, the modulation of planned maintenance programs in response to changes in production, commodity value or equipment reliability is easily achieved. Based on results of the work carried out using the technology, it is proposed that there are significant benefits available to the UKCS through the adoption of similar techniques, as it is understood that many operators currently struggle to justify existing planned maintenance regimes, and to demonstrate a defensible means by which to alter these regimes in response to a changing economic and reliability criteria. Application of this new technology may provide a means of modulating maintenance in response to changing criteria and offer potential concomitant benefits in helping tackle backlog, bed space and production efficiency challenges.

Publisher

SPE

Cited by 1 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