Big Data analytics in oil and gas industry: An emerging trend

Mohammadpoor, Mehdi; Torabi, Farshid

doi:10.1016/j.petlm.2018.11.001

Cited by 167 publications

(81 citation statements)

References 3 publications

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“…Smart Transportation resource constraint control -deployment [32], [66], [80] -security -mediation -actuation 4. Smart Oil Refineries low latency acceleration -NFV [26], [37], [95]- [97] -SDN -GPU 5. Smart energy/power grid reliability networking -bluetooth [79], [98]- [101] -IP, TCP, UDP -WAN tion of such parameters will create unfavorable conditions for DoS attacks.…”

Section: Sno Cloudlet Challengesmentioning

confidence: 99%

Cloudlet Computing: Recent Advances, Taxonomy, and Challenges

et al. 2021

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A cloudlet is an emerging computing paradigm that is designed to meet the requirements and expectations of the Internet of things (IoT) and tackle the conventional limitations of a cloud (e.g., high latency). The idea is to bring computing resources (i.e., storage and processing) to the edge of a network. This article presents a taxonomy of cloudlet applications, outlines cloudlet utilities, and describes recent advances, challenges, and future research directions. Based on the literature, a unique taxonomy of cloudlet applications is designed. Moreover, a cloudlet computation offloading application for augmenting resourceconstrained IoT devices, handling compute-intensive tasks, and minimizing the energy consumption of related devices is explored. This study also highlights the viability of cloudlets to support smart systems and applications, such as augmented reality, virtual reality, and applications that require high-quality service. Finally, the role of cloudlets in emergency situations, hostile conditions, and in the technological integration of future applications and services is elaborated in detail. INDEX TERMS Cloud computing, Edge computing, Cloudlets, Internet of things, Computation offloading, Smart city, Smart health.

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Section: Sno Cloudlet Challengesmentioning

confidence: 99%

Cloudlet Computing: Recent Advances, Taxonomy, and Challenges

et al. 2021

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“…The use and application of big data in the upstream oil and gas sector was reviewed in detail by Mohammadpoor and Torabi [6]. Its incorporation into Oil and Gas 4.0 and its applicability in the exploration and scouting, drilling, reservoir, and production engineering were outlined by Nguyen et al [7].…”

Section: Digitalization and Cyber Integration In The Upstream Oil And Gas Sectormentioning

confidence: 99%

Perspectives on Cyber Security for Offshore Oil and Gas Assets

Progoulakis

Nikitakos

Rohmeyer

et al. 2021

JMSE

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In an ever-evolving technological industry, the oil and gas sector is already moving forward through the adaptation of Industry 4.0 and the adaptation of advanced cyber technologies through Oil and Gas 4.0. As IT/OT (information technology/operational technology) systems are evolving technologically, so are the cyber security threats faced by the offshore oil and gas assets. This paper aims to raise the awareness of cyber security threats and the organizational and technical measures that need to be adopted by the oil and gas industry for remote and complex assets in the upstream sector. A comprehensive literature review covering the areas of new IT/OT systems integration and cyber security risk analysis and management is presented. The results of a survey on the subject of cyber security for offshore oil and gas assets are also presented, and they provide valuable insight into the current industry culture and the perception of cyber security concepts. The importance of organizational culture, personnel training and involvement, as well as corporate engagement and support in the subject of cyber security is highlighted.

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“…The possibility and expediency of using Big Data methods to solve gas transportation problems were reported in [19]. However, this approach to automating the solution of gas transportation problems makes the GTS control system more vulnerable.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%