Measuring Maturity of Well Integrity Management - Analysis of Well Integrity in Brownfield Using Maturity Models for Prolonged Well Lifecyle

M. S. Yakoot, A. Salem, O. Mahmoud
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Abstract

Well integrity (WI) is a growing concern in the oil and gas (O&G) industry as fields mature and WI problems increase. In project management, maturity denotes having perfect condition to attain the organization's objectives. Applying the same principle to O&G industry, provides a pathway and basis to achieve excellence in WI management in O&G fields. Maturity of WI management has a direct impact on performance, assurance, compliance, and most importantly operation safety. A case study from a brown field has been conducted to evaluate the effect of WI management maturity on field performance. The application of well integrity management system (WIMS) in an offshore brown oilfield has been studied. The journey of WI maturity has been presented in detail. All maturity phases have been analyzed starting from program initiation, up to predicting WI failures using machine learning (ML) algorithms. Three maturity models, that have been developed by different organizations and individuals, were selected for benchmarking of measured maturity level in the WIMS applied. They were selected as they show independency from industry/organization's type. The three models are; organizational project management maturity model (Opm3), capability maturity model integration (CMMI), and Kerzner project management maturity model (KPMMM). The attained results indicated that K-PMMM provides the best description and level determination of maturity level with WIMS applied. Moreover, it is highly recommended to implement maturity models by including all processes and subsystems in the WIMS, to have better resolution of system gaps.
井完整性管理成熟度的测量——利用成熟度模型对棕地井完整性进行延长井生命周期的分析
随着油田的成熟和WI问题的增加,油井完整性(WI)越来越受到油气行业的关注。在项目管理中,成熟度是指具备达到组织目标的完美条件。将同样的原理应用于油气行业,为实现油气领域WI管理的卓越性提供了途径和基础。WI管理的成熟度直接影响到性能、保证、遵从性,最重要的是操作安全。以棕地为例,评价了WI管理成熟度对油田绩效的影响。研究了油井完整性管理系统(WIMS)在海上棕色油田的应用。详细介绍了WI的成熟历程。从程序启动到使用机器学习(ML)算法预测WI故障,所有成熟度阶段都进行了分析。本文选择了由不同组织和个人开发的三个成熟度模型,对应用WIMS中测量的成熟度水平进行基准测试。之所以选择它们,是因为它们显示了与行业/组织类型的独立性。这三种模型是;组织项目管理成熟度模型(Opm3)、能力成熟度模型集成(CMMI)和Kerzner项目管理成熟度模型(KPMMM)。结果表明,应用WIMS后,K-PMMM能最好地描述和确定成熟度等级。此外,强烈建议通过在WIMS中包括所有过程和子系统来实现成熟度模型,以便更好地解决系统差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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