Training simulators development technique for oil and gas industry automation control systems

Сусарев, С. В.; Bulkaeva, E. A.; Sarbitova, Y. V.; Dolmatov, D. S.

doi:10.1109/ctsys.2017.8109527

Cited by 5 publications

(2 citation statements)

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“…Blockchain and IoT technology were applied to reduce failure rates in pumps, increase reliability while ensuring transparency and traceability [239]. However, control centers require adequate skills and this is carried out by using simulators that are developed for the O&G industry to train personnel [240].…”

Section: F Control Center Operationsmentioning

confidence: 99%

A Survey on Industry 4.0 for the Oil and Gas Industry: Upstream Sector

et al. 2021

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The market volatility in the oil and gas (O&G) sector, the dwindling demand for oil due to the impact of COVID-19, and the push for alternative greener energy are driving the need for innovation and digitization in the O&G industry. This has attracted research interest from academia and the industry in the application of industry 4.0 (I4.0) technologies in the O&G sector. The application of some of these I4.0 technologies has been presented in the literature, but the domain still lacks a comprehensive survey of the application of I4.0 in the O&G upstream sector. This paper investigates the state-of-the-art efforts directed toward I4.0 technologies in the O&G upstream sector. To achieve this, first, an overview of the I4.0 is discussed followed by a systematic literature review from an integrative perspective for publications between 2012-2021 with 223 analyzed documents. The benefits and challenges of the adoption of I4.0 have been identified. Moreover, the paper adds value by proposing a framework for the implementation of I4.0 in the O&G upstream sector. Finally, future directions and research opportunities such as framework, edge computing, quantum computing, communication technologies, standardization, and innovative areas related to the implementation of I4.0 in the upstream sector are presented. The findings from this review show that I4.0 technologies are currently being explored and deployed for various aspects of the upstream sector. However, some of the I4.0 technologies like additive manufacturing and virtual reality are least explored.INDEX TERMS Artificial intelligence (AI), cyber-physical systems, digital-twin, framework, oil and gas (O&G), industry revolution 4.0 (IR 4.0), industry 4.0 (I4.0), internet of things (IoT), simulation, upstream sector

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Section: F Control Center Operationsmentioning

confidence: 99%

A Survey on Industry 4.0 for the Oil and Gas Industry: Upstream Sector

et al. 2021

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“…These developments are carried out on specialized software, as a rule, in SCADA-systems. More details about the structure and principles of building computer simulators are presented in [15].…”

Section: Features Of Computer Simulators Constructionmentioning

confidence: 99%

Cascade Temperature Control Data Analysis in Oil and Gas Industry

Kremenetskaya

2021

E3S Web Conf.

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Currently, one of the most effective methods of personnel training for the oil and gas industry is training on computer simulators. Studies show that most often emergencies occur in small areas of large production facilities, which indicates the existence of a problem with the possibility of training and development of simulators for basic objects of complex production chains. Nowadays, there are a lot of technical and technological solutions in the field of simulators, however, the segment of simulators of basic units and equipment of oil and gas industry objects is practically absent. In order to develop computer simulators that fully correspond to real objects, it is necessary to build adequate mathematical models. Within the framework of this research, the development of mathematical and structural models of the basic object of the oil and gas industry has been performed.

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Digital Twin for the Oil and Gas Industry: Overview, Research Trends, Opportunities, and Challenges

et al. 2020

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With the emergence of industry 4.0, the oil and gas (O&G) industry is now considering a range of digital technologies to enhance productivity, efficiency, and safety of their operations while minimizing capital and operating costs, health and environment risks, and variability in the O&G project life cycles. The deployment of emerging technologies allows O&G companies to construct digital twins (DT) of their assets. Considering DT adoption, the O&G industry is still at an early stage with implementations limited to isolated and selective applications instead of industry-wide implementation, limiting the benefits from DT implementation. To gain the full potential of DT and related technological adoption, a comprehensive understanding of DT technology, the current status of O&G-related DT research activities, and the opportunities and challenges associated with the deployment of DT in the O&G industry are of paramount importance. In order to develop this understanding, this paper presents a literature review of DT within the context of the O&G industry. The paper follows a systematic approach to select articles for the literature review. First, a keywords-based publication search was performed on the scientific databases such as Elsevier, IEEE Xplore, OnePetro, Scopus, and Springer. The filtered articles were then analyzed using online text analytic software (Voyant Tools) followed by a manual review of the abstract, introduction and conclusion sections to select the most relevant articles for our study. These articles and the industrial publications cited by them were thoroughly reviewed to present a comprehensive overview of DT technology and to identify current research status, opportunities and challenges of DT deployment in the O&G industry. From this literature review, it was found that asset integrity monitoring, project planning, and life cycle management are the key application areas of digital twin in the O&G industry while cyber security, lack of standardization, and uncertainty in scope and focus are the key challenges of DT deployment in the O&G industry. When considering the geographical distribution for the DT related research in the O&G industry, the United States (US) is the leading country, followed by Norway,

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Training simulators development technique for oil and gas industry automation control systems

Cited by 5 publications

References 0 publications

A Survey on Industry 4.0 for the Oil and Gas Industry: Upstream Sector

A Survey on Industry 4.0 for the Oil and Gas Industry: Upstream Sector

Cascade Temperature Control Data Analysis in Oil and Gas Industry

Digital Twin for the Oil and Gas Industry: Overview, Research Trends, Opportunities, and Challenges

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