State of research on the automation of HAZOP studies

Single, Johannes I.; Schmidt, Jürgen; Denecke, Jens

doi:10.1016/j.jlp.2019.103952

Cited by 28 publications

(8 citation statements)

References 63 publications

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“…Usually, the created models are based on graph theory due to the obvious transferability, whereas different model languages are used depending on the method. In some approaches, graphical editors support the time-consuming creation, but the time required for model creation contradicts the goal of saving time [4].…”

Section: Introductionmentioning

confidence: 99%

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preHAZOP: Graph‐Based Safety Analysis for Early Integration into Automated Engineering Workflows

Oeing

Holtermann

Welscher

et al. 2023

Chemie Ingenieur Technik

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The increasing digitalization and standardization within the process industry lead to a high availability of digital, machine-readable processes and plant descriptions. In particular, the publication of the DEXPI standard provides a digital representation of plant topologies including a complete description of all specifications. In early planning phases, this can be used as the basis for an automated safety assessment since digital availability significantly simplifies accessibility for smart search algorithms. This paper presents the preHAZOP search algorithm, which was developed to analyze P&IDs in DEXPI format and to detect safety-critical deviations regarding their risk according to a classical HAZOP analysis. The preHAZOP is of particular interest in early process development stages and can be easily integrated into modern, digital engineering workflows.

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Section: Introductionmentioning

confidence: 99%

“…Using a complex model-based approach, an attempt is made to automatically generate the potential hazard scenarios via an algorithm, but the degree of generated scenarios that turn out to be irrelevant when viewed manually is too high. In addition, the interface used limits the applicability to the CAD software SmartPlant P&ID [4,5].…”

Section: Introductionmentioning

confidence: 99%

preHAZOP: Graph‐Based Safety Analysis for Early Integration into Automated Engineering Workflows

Oeing

Holtermann

Welscher

et al. 2023

Chemie Ingenieur Technik

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“…The automation of HAZOP studies and the provision of a computer-aid for HAZOP studies is a research topic for more than 30 years. Several researchers and research groups investigated the status quo regarding the automation of HAZOP studies and the general improvement of the method ( Dunjó et al, 2010 ; Cameron et al, 2017 ; Single et al, 2019 ). The key results of this study are briefly described in the following.…”

Section: Introductionmentioning

confidence: 99%

“…Principally, computer systems for the computer-aid of HAZOP studies are concerned with the main tasks (1) creating and using a representation of the process plant and equipment, (2) storing relevant expert knowledge, (3) automatically infer conclusions about plausible hazardous scenarios, and identifying safeguards ( Single et al, 2019 ). There are numerous technologies available to perform these tasks.…”

Section: Introductionmentioning

confidence: 99%

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Ontology-based computer aid for the automation of HAZOP studies

Single¹,

Schmidt²,

Denecke³

2020

Journal of Loss Prevention in the Process Industries

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Hazard and Operability (HAZOP) studies are conducted to identify and assess potential hazards which originate from processes, equipment, and process plants. These studies are human-centered processes that are time and labor-intensive. Also, extensive expertsise and experience in the field of process safety engineering are required. In the past, there have been several attempts by different research groups to (semi-)automate HAZOP studies. Within this research, a knowledge-based framework for the automatic generation of HAZOP worksheets was developed. Compared to other approaches, the focus is on representing semantic relationships between HAZOP relevant concepts under consideration of the degree of abstraction. In the course of this, expert knowledge from the process and plant safety (PPS) domain is embedded within the ontological model. Based on that, a reasoning algorithm based on semantic reasoners is developed to identify hazards and operability issues in a HAZOP similar manner. An advantage of the proposed method is that by modeling causal relationships between HAZOP concepts, automatically generated, but meaningless scenarios can be avoided. The results of the enhanced causation model are high quality extended HAZOP worksheets. The developed methodology is applied within a case study that involves a hexane storage tank. The quality and quantity of the automatically generated results agree with the original worksheets. Thus the ontology-based reasoning algorithm is well-suited to identify hazardous scenarios and operability issues. Node-based analyses, involving multiple process units, can also be carried out by slightly adapting the method. The presented method can help to support HAZOP study participants and non-experts in conducting HAZOP studies.

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