Validation of Dynamic Risk Analysis Supporting Integrated Operations Across Systems

Abstract

Dynamic risk analysis (DRA) is a novel industrial approach that aims to capture changes in operational conditions over time and quantify their effect on risk. This aspect may be advantageous for providing insight into the causal factors that have substantial risk contributions and supporting decisions related to risk control. Some DRA methods were developed by the oil and gas industry to support the integration of work processes and the cooperation across virtual clusters, e.g., between offshore and onshore systems and/or oil company and supplier. However, DRA has not been extensively adopted and limited attention is given to its validity in practical applications. The objective of this article is to illustrate how this validity can be established based on common validation approaches for risk analysis. The case study focuses on a DRA method named risk barometer that was developed to support integrated operations across the oil and gas industrial systems. The outcome of this study may serve as a basis for the validation of other DRA methods, the use of DRA in practical cases, and ultimately the achievement of integrated operations (IO) capabilities.

Quantitative Risk Assessment for Aerospace Facility According to Windrose

“…Validation for quantitative risk assessment can have several meanings that are disputable. As such, quantitative risk assessment of validation aspects, considering the objectives, expected results may be necessary [13,14]. Specifically, sampling proper data and its methods are most important to conduct quantitative risk assessment exactly.…”

Information support for decision making when monitoring the condition of cryogenic equipment

“…77 Введение. Для обеспечения безопасности при хранении и перевозке опасных наливных грузов различными видами транспорта применяют системы дистанционного мониторинга технического состояния оборудования и текущих параметров хранимого или перевозимого продукта [1,2]. При этом актуальной задачей является организация долговременного хранения криогенных продуктов (жидкого кислорода, жидкого азота, сжиженного природного газа и др.)…”

“…Точное прогнозирование времени хранения криогенного продукта в криогенном сосуде при помощи компьютерного моделирования представляет собой сложную задачу, решение которой для всего спектра вероятных термодинамических состояний продукта пока не представляется возможным [1,10]. Поэтому для расчета оценки времени бездренажного хранения продукта с точностью, достаточной для практических целей, целесообразно применение эвристических вычислительных алгоритмов [11,12].…”

Managing Heterogeneous Datasets for Dynamic Risk Analysis of Large-Scale Infrastructures

“…Despite the increasing number of publications and recognition of its relevance in ISO 31000:2018, DRA remains in an embryonic phase [15,60,61]. Limited research in the field hinders its implementation and the possibilities of improvements of DRA techniques.…”