油气生产系统的系统准备水平估计

S. Yasseri, H. Bahai
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引用次数: 10

摘要

文章历史:接收时间:2018年7月1日接收时间:2019年9月8日本文通过一个案例研究,进一步探讨和描述了石油和天然气行业生产资料的系统准备水平估计。技术准备水平(TRL)这一概念最初由美国国家航空航天局提出,随后被美国和欧洲的政府机构和行业采用。TRL被API(API 17N)采用,专门用于评估海底组件在海底生产系统中的准备情况。API的TRL最近通过引入另外两个指标进行了扩展,即集成就绪级别(IRL)和系统就绪级别(SRL)。SRL是TRL和IRL的数学组合,是评估主要海底系统开发进展的指标。标准评估指标,如技术准备水平(TRL),不能充分评估现代复杂系统。在先前出版物[43]的基础上,通过为SRL估计过程添加系统工程框架,对SRL计算方法进行了扩展和阐述。在本文中进行了一些详细的解释,从而产生了更加一致的结果。使用误差平均法,通过将每个组件的TRL与IRL相结合来计算SRL,IRL表示这些组件中的每个组件准备与系统的其他组件集成。为了便于计算,设计结构矩阵(DSM)用于可视化组件和执行必要的运算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
System Readiness Level Estimation of Oil and Gas Production Systems
Article History: Received: 1 Jul. 2018 Accepted: 8 Sep. 2018 This paper explores further and describes the System Readiness Level estimation for means of production in the oil and gas industry, through a case study. The concept as Technology Readiness Level (TRL) originally promoted by NASA and was then adopted by government agencies and industries across the USA and Europe. TRL was adopted by API (API 17N) and tailored for the assessing the readiness of subsea components for inclusion in subsea production systems. The API’s TRL has been recently extended by introducing two more metrics namely, the Integration Readiness Level (IRL) and the System Readiness Level (SRL). SRL is a mathematical combination TRL and IRL and is a metric for assessing progress in developing major subsea systems. Standard assessment metrics, such as Technology Readiness Levels (TRL), do not sufficiently evaluate the modern complex systems. Building on the previous publications [43] the SRL calculation method is expanded and expounded by adding a system engineering framework for the process of SRL estimation. Explained in some detail, in this paper, which produces more consistent results. Using an error averaging method, SRL is calculated by combining the TRL of each component with IRL, which expresses the readiness of each of these components to be integrated with other components of the system. To facilitate the calculation the Design Structure Matrix (DSM) is used both to visualise components and perform the necessary arithmetic.
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