Mechanization of static mechanical systems inspection planning process

Abstract

Purpose -The purpose of this paper is to review the evolution of inspection and maintenance (I&M) practices used for aging and newly built oil and gas (O&G) facilities. It also proposes a framework and an approach for mechanizing inspection planning to perform preventive maintenance (PM) activities, taking technical condition (TC) and relative degradation (RD) into consideration. Design/methodology/approach -The paper systematically collects, categorizes, and analyzes the published literature of both researchers and practitioners. It also utilizes industrial experience that has been accrued and utilized from inspection planning practices for static mechanical equipment on aging O&G production plants.Findings -The paper defines significant issues in I&M of O&G assets related to: different philosophies; stakeholders' requirements trade-off; dependability and asset deterioration challenges; items interacting with inspection planning mechanization processes and I&M optimization approaches. A framework is identified to mechanize the inspection planning process in order to reduce the effect arising from human involvement, while improving the effective utilization of data from different sources. The suggested approach improves the quality of an inspection program, while minimizing the variability and cost to the engineering contractors as well as to the owners of O&G facilities. Practical implications -The mechanization of inspection planning (MIP) is vital to have inspection programs with uniform quality. The currently employed inspection practices face challenges in maintaining uniform quality from one inspection program to another due to the variability present in the planning process, especially among the different inspection planning engineers. The suggested fuzzy logic-based MIP supports the minimization of the variability and increases the quality of inspection programs. Originality/value -The paper provides a comprehensive review of research contributions and industrial development efforts. These will be useful to the life cycle stakeholders in both academia and industry in understanding the inspection planning problem and solution space within the O&G asset I&M context.

Determining Factors of Fixed Offshore Platform Inspections in Indonesia

“…Today's inspection operations face the challenge of maintaining consistent quality from one inspection program to another due to the variability in planning processes between different inspection planning engineers. The proposed inspection planning mechanism based on fuzzy logic helps to minimize variability and improve the quality of inspection programs [29].…”

“…Author Purpose Variable Method Guede [16] Risk assessment and inspection plan development Risks and consequences Risk-based assessment Ratnayake [29] Reviewing the evolution of inspections of aging oil and gas facilities Inspection strategies and industry challenges Markeset et al [17] Identify and discuss maintenance challenges and maintenance practices for subsea oil production systems Failure and maintenance Onoufirou [28] Discuss the development and application of inspection techniques for fixed and floating platforms as well as jack-up drilling rigs Reliability Reliability-based inspection Tawekal and Tawekal [7] Implementation of risk-reliability-based underwater inspection Probability of failure Ahmad et al [27] Assess severity and recommend corrective action Database of platform Other methods (expert system; EMA and CMCM;…”

An RUL-informed approach for life extension of high-value assets

“…Although the information gathered during PM was used to trend the monotonically increasing degradation, the overall method used was analytical in nature, with the degradation process modelled as a Poisson process and then as a Gamma process. Overall, the idea of using data gathered during inspection and maintenance activities for the purpose of LE has been explored in the past (Labeau and Segovia, 2011;Ratnayake, 2015). Nguyen and Medjaher (2019) proposed a dynamic predictive maintenance framework comprising a prognostic process and a post-prognostic decision-making process.…”

Dependability-based maintenance optimization in healthcare domain

“…The emergence of condition-based maintenance (CBM) instigates the deployment of other tools such as the proportional hazard model to investigate the influence of covariates on system's degradation (Lorna Wong et al, 2010). Maintenance strategies shift to predictive making decision using prognostic information and remaining useful life (URL) modeling has been the subject of newly published researches (Helge Nystad and Rasmussen, 2010;Ratnayake, 2015).…”