Application of systems engineering to integrate ageing management into maintenance management of oil and gas facilities

2013 ◽  
Vol 16 (3) ◽  
pp. 329-345 ◽  
Author(s):  
Pedro A. Pérez Ramírez ◽  
Ingrid Bouwer Utne ◽  
Cecilia Haskins
2019 ◽  
Vol 78 ◽  
pp. 03001
Author(s):  
Joseph Isimite ◽  
Frank Baganz ◽  
Volker Hass

Operator training simulators (OTS) are widely used in several industries including chemical processing, oil and gas, medicine, aircraft and nuclear facilities. However, developing a biorefinery OTS is a complex engineering design activity that requires a structured technique. This paper presents a structured methodology that applies design frameworks from other disciplines and a user-centred approach for biorefinery OTS design. These include the definition of end user requirements (operator training needs), and the analysis of these requirements using Quality Function Deployment (QFD). Furthermore, an algorithm for bioprocess optimisation and automatic adjustment of operating parameters is developed for integration into the OTS. This algorithm is based on the Nelder-Mead simplex method for multi-dimensional function minimisation. Identified user requirements were categorized into primary, secondary and tertiary training needs, with increasing levels of detail from primary to tertiary needs. The relationships between identified operator training needs and OTS technical and functional specifications were investigated, and a priority rating assigned to the most important OTS specifications. Identified OTS specifications were evaluated for robustness to ensure that important features were not omitted from the final design.


2018 ◽  
Vol 58 (2) ◽  
pp. 586
Author(s):  
Craig Phasey ◽  
Steve Ashfield

The business press is full of articles extolling the benefits of digital transformation. Although no one wants to be left behind, getting caught up in a craze is not attractive either. But oil and gas companies have used digital technologies, such as computers and control systems for years; how is digitalisation different? The key difference between a company with digital systems and a ‘digital company’ is connection. The former is characterised by disparate, unconnected digital systems, whereas the ‘digital company’ integrates the company’s systems, improving the precision of each. This enables integrated solutions, reducing the potential for counterproductive individual initiatives. Integration enables Big Data and Machine Learning, delivering additional insights. However, integration is not a universal good; as knowledge acquisition has accelerated, so has misinformation. There are better and worse ways to digitalise. Acknowledgement that digitalisation is the way of the future will not induce change or ensure success. Digitalisation is an alternative method to achieve business goals; it is not the goal. To achieve real success using digital technologies, first a significant need must be identified. The root cause of the major business problems must be discovered before appropriate digital technologies to address those problems are selected. The challenge must be led and supported at the C-suite and the solutions must have enterprise-wide impact. Systems engineering digitalisation creates value through a set of initiatives rather than single-point optimisation. Selection of a suitable scalable digital backbone is a key element of successful implementation.


2015 ◽  
Author(s):  
Bambang Handoko ◽  
Syaiful Anwar ◽  
Hadi Siswanto ◽  
Mohamad Fauzan Amir ◽  
Rossupanji Pribadi

2008 ◽  
Vol 14 (3) ◽  
pp. 237-261 ◽  
Author(s):  
Mouloud Aoudia ◽  
Oumhani Belmokhtar ◽  
Gilles Zwingelstein

2021 ◽  
Author(s):  
Brandon Scott Baylor

Abstract The world's leading energy companies face new challenges as they aggressively pursue digital innovation and acceleration. Oil and gas well construction, in particular, will continue to incorporate automation to enhance capabilities and provide a competitive advantage. These changes to the technology landscape will fundamentally alter the nature of well construction and the interactions pertaining to well design, operation, and maintenance. One key element of well construction is process safety. To prevent incidents, well control assurance programs are created to ensure subsurface hazards are mitigated and controlled. However, to continuously adapt and keep pace with ongoing digital transformation, assurance programs must be continuously revisited to improve in the face of a changing environment. One way to do this is by using systems engineering principles, methods, and tools. System-Theoretic Accident Models and Processes (STAMP) and System-Theoretic Process Analysis (STPA) developed by MIT's Nancy Leveson can help assess assurance programs and uncover opportunities to improve. This paper analyzes oil and gas assurance programs and generates system requirements based on causal factors that impact the efficacy of the assurance program as a whole. This, in turn, helps identify safe system boundaries and constraints to be enforced to achieve system safety. This paper demonstrates the value of STPA as an integrated analysis method and offers specific recommendations to improve oil and gas assurance processes.


2021 ◽  
Vol 6 (1) ◽  
pp. 76-82
Author(s):  
A. N. Korkishko ◽  
D. I. Glukhikh ◽  
K. A. Opolskiy

The article proposes solving way the problem of reduction in the expenditure on the permanent construction of oil and gas fields using systems engineering methods. There is shown system engineering ability to reduce permanent construction costs. The text considered an example of systems engineering using the conceptual design stage for the location of a well cluster.


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