The Industrial IoT in Oil &amp; Gas: Use Cases

Flichy, Philippe; Baudoin, Claude R.

doi:10.2118/191756-ms

Cited by 12 publications

(3 citation statements)

References 6 publications

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“…These included the complexity of integrating disparate data sources, ensuring data accuracy and reliability, and overcoming resistance to change from operational staff. Additionally, the initial investment required for system deployment and training personnel posed financial and logistical challenges (Flichy, and Baudoin, 2018). However, through collaboration with technology vendors, crossfunctional teams, and ongoing training initiatives, the company successfully addressed these challenges and gleaned valuable lessons for future deployments.…”

Section: Case Studies On Integration Of Advanced It Solutionsmentioning

confidence: 99%

Evaluating the Integration of Advanced It Solutions for Emission Reduction in the Oil and Gas Sector

Chuka Anthony Arinze,

Olakunle Abayomi Ajala,

Chinwe Chinazo Okoye

et al. 2024

Eng. sci. technol. j.

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The oil and gas sector is a significant contributor to greenhouse gas emissions, making the integration of advanced IT solutions imperative for emission reduction. This study evaluates the effectiveness of integrating advanced IT solutions in mitigating emissions within the oil and gas industry. The research employs a mixed-methods approach, combining qualitative analysis through literature review and quantitative analysis via case studies and data analysis. The literature review identifies various advanced IT solutions currently available, such as Internet of Things (IoT), Artificial Intelligence (AI), and Big Data analytics, and their potential applications for emission reduction in the oil and gas sector. Case studies are conducted to examine real-world implementations of these solutions by leading companies in the industry. These case studies provide insights into the challenges, benefits, and best practices associated with integrating advanced IT solutions for emission reduction. Furthermore, quantitative data analysis is conducted to assess the environmental impact of these IT solutions based on emission reduction metrics, such as carbon dioxide equivalent (CO2e) emissions and energy efficiency improvements. The findings indicate that the integration of advanced IT solutions holds significant promise for emission reduction in the oil and gas sector. IoT-enabled sensors enable real-time monitoring and optimization of operations, reducing emissions from production processes. AI algorithms enhance predictive maintenance, optimizing equipment performance and minimizing emissions from fugitive sources. Big Data analytics facilitate comprehensive emissions tracking and reporting, enabling proactive emissions management strategies. Overall, this research contributes to a deeper understanding of the potential of advanced IT solutions in reducing emissions in the oil and gas sector and provides valuable insights for industry practitioners, policymakers, and researchers alike. Keywords: IT, Emission, Reduction, Oil and Gas, Review.

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Section: Case Studies On Integration Of Advanced It Solutionsmentioning

confidence: 99%

Evaluating the Integration of Advanced It Solutions for Emission Reduction in the Oil and Gas Sector

Chuka Anthony Arinze,

Olakunle Abayomi Ajala,

Chinwe Chinazo Okoye

et al. 2024

Eng. sci. technol. j.

View full text Add to dashboard Cite

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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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“…The authors discuss the digital transformation and IIoT, and it is effective to keep the plant running, reduce the maintenance cost, and extend life time of equipment that led to increase the productivity. Also, review the IIoT-based project examples to reduce the human and equipment costs in the oil and gas field [14,15]. They discussed the impact of industry 4.0 and operations based on data centric on oil and gas production that led to discover various scenarios about 3 Wireless Communications and Mobile Computing the future of oil and gas industry [16,17].…”

Section: Introductionmentioning

confidence: 99%

Application of Industrial Internet of Things (IIoT) in Crude Oil Production Optimization Using Pump Efficiency Control

Allahloh

Sarfraz

Alqahtani

et al. 2022

Wireless Communications and Mobile Computing

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The collapse of oil prices in mid-2014 and early 2016 was the biggest in modern history that witnessed more than a 70% drop in the price to around $40 barrel. It prompted companies to think seriously to maintain profitability. Most companies were able to survive partly by simplifying their operations. Price recovery in 2021 is only 70% of its peak value. Companies are focusing on reducing the cost of operations, increasing production simultaneously, and finding new and different strategies to survive. The current scenario is witnessing strong research focusing on the development of process control for oil and gas upstream and downstream to improve the control and preventive maintenance to reduce operating costs and increase production. This paper presents the Industrial Internet of Things (IIoT) practical solution that improves the oil production rate from the well and increases the average pump efficiency (fillage) to 90%. This paper proposes a mechanism for collecting, storing, and analyzing all required parameters to build valuable charts. These charts’ data help optimize the values and parameters for controller setpoints to prevent pump gas lock problems. An artificial lift is required to lift the oil from the well. In this paper, the sucker rod pump is driven by a gas engine fed by the well’s gas. At the same time, SCADAPack 535E remote terminal unit collects all pump and well parameters such as hydraulic pressure, casing pressure, tubing pressure, and pump speed in stroke per minute (SPM). The remote terminal unit sends the data through a wireless network using a 5 GHz antenna to the main control room. The IIoT platform is designed using a visual basic programming language. Microsoft DDE (Dynamic Data Exchange) and Kepware OPC server were used to work on the received data to monitor, generate charts, and apply the controllers.

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The Industrial IoT in Oil & Gas: Use Cases

Cited by 12 publications

References 6 publications

Evaluating the Integration of Advanced It Solutions for Emission Reduction in the Oil and Gas Sector

Evaluating the Integration of Advanced It Solutions for Emission Reduction in the Oil and Gas Sector

Cloudlet Computing: Recent Advances, Taxonomy, and Challenges

Application of Industrial Internet of Things (IIoT) in Crude Oil Production Optimization Using Pump Efficiency Control

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