领域开发:敏捷价值优化

D. McLachlan, J. Isherwood, Max Peile
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引用次数: 2

摘要

根据独立项目分析公司(Merrow, 2012)的一项行业研究,2011年,78%的上游油气大型项目面临成本或进度超支的问题。2014年,安永的研究发现,64%的项目面临成本超支(安永,2014年),73%的项目面临进度超支。2017年,英国石油和天然气管理局(OGA)发布了一份研究报告,总结了2011-2016年间英国油气项目的经验教训,报告称:“自2011年以来,只有不到25%的油气项目按时交付,项目平均延迟10个月,超出预算约35%。”(OGA, 2017)在高油价的经济环境中,这种成本和进度表现不佳的水平是不可持续的,在我们现在运营的低油价环境中是不可想象的。安永和OGA的报告都指出了这些超支的因素和可以吸取的教训。这些问题包括组织学习、项目管理失败、计划不足和团队内部的认知偏差。OGA报告中确定的一个关键教训是,高质量的前端加载(FEL)对项目的成功至关重要。一个成功的FEL应该开发足够的战略信息,以便做出决策,使项目成功的机会最大化。作为其独特的现场开发方法的一部分,它将项目更快、更确定地推向市场,我们基于斯坦福大学Ronald a . Howard教授开发的方法创建了一种方法,以提供高质量的FEL。该方法以许多独特的工具和技术为基础,并借鉴了包括航空航天、智慧城市和软件开发在内的各个行业的最佳实践。该方法为数字项目的执行和可操作数字孪生的发展铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Field Development: Agile Value Optimisation
In 2011 78% of upstream oil & gas megaprojects faced either cost or schedule overruns according to an industry study by the Independent Project Analysis (Merrow, 2012). In 2014, research by EY found 64% of projects faced cost overruns (EY, 2014) and 73% of projects faced schedule overruns. In 2017 the UK Oil & Gas Authority (OGA) published a study of lessons learned from UKCS oil & gas projects between 2011-2016, which reported "since 2011 fewer than 25% of oil and gas projects have been delivered on time with projects averaging 10 months’ delay and coming in around 35% over budget." (OGA, 2017) This level of cost and schedule underperformance was not sustainable in the high oil price economic environment and is inconceivable in the lower oil price environment in which we now operate. Both the EY and the OGA reports identify factors for these overruns and lessons that can be learned. These include organisational learnings, project management failings, inadequate planning and cognitive biases within the team. One of the key lessons identified in the OGA report was that high-quality Front-End Loading (FEL) is critical to project success. A successful FEL should develop sufficient strategic information to allow decisions to be made that maximise the chance of a successful project. As part of its unique approach to field development, which brings projects to market faster and with more certainty, we have created a methodology, based on the approach developed by Professor Ronald A. Howard at Stanford University, to deliver a high quality FEL. This methodology is underpinned by a number of unique tools and techniques and draws on best practice from a variety of industries, including aerospace, smart cities and software development. The methodology paves the way for a digital project execution and the evolution of an operational digital twin.
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