Availability assessment of oil and gas processing plants operating under dynamic Arctic weather conditions (original) (raw)
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Oil and Gas Facilities, 2015
Summary Reliability analysis has various application in oil- and gas-processing facilities, such as identifying the bottlenecks of the system, quantitative risk assessments, improving system availability and throughput capacity, spare-parts planning, and optimizing maintenance strategies. Reliability performance of a system can be described as a function of operation time and a series of operating conditions. For this purpose, a range of reliability data is required, on the basis of which the reliability function can be modeled. One of the challenges in reliability analysis of Arctic oil and gas facilities is lack of adequate reliability data. The available historical data gathered in normal-climate regions may not be appropriate because they do not include the effects of harsh Arctic operating conditions on equipment performance. In this study, the expert-judgement process is used as a tool to modify the mean time to failure of the equipment to include the adverse impacts of Arctic...
Availability Analysis of Oil Production Systems
2018
System effectiveness in crude oil processing industries can be constrained by operational efficiency of the constitutive units. Thus ascertaining availability status of all system units can provide decision makers with an effective means of improving the technical performance of complex processing systems. Most of the works found in literatures focused on either models specifically for estimation of interval, instantaneous or stationary availability with specific repair distributions or models with mathematical complexities whose underlying assumptions impose ample application constraints to industries. This paper proposes a proof of concept compact generalized model for determination of availability of complex processing industries. The approach is clearly presented as an off-shoot of earlier but independent availability models (Lie et al. 1977, Ebeling, 2010). The applicability of the models has been illustrated using data obtained from a typical oil company, which will be called ...
2008
In the present paper the Natvig measures of component importance for repairable systems, and its extended version are applied to an offshore oil and gas production system. According to the extended version of the Natvig measure a component is important if both by failing it strongly reduces the expected system uptime and by being repaired it strongly reduces the expected system downtime. The results include a study of how different distributions affect the ranking of the components. All numerical results are computed using discrete event simulation. In a companion paper (Huseby, Eide, Isaksen, Natvig, and Gåsemyr 2008) the advanced simulation methods needed in these calculations are decribed.