Cyber-physical systems architectures for industrial internet of things applications in Industry 4.0: A literature review

DGS Pivoto, LFF De Almeida, R da Rosa Righi… - Journal of manufacturing …, 2021 - Elsevier
The industrial scenario is undergoing exponential changes, mainly due to the different
technologies that emerge quickly and the ever increasing demand. As a consequence, the …

Applications of AI in oil and gas projects towards sustainable development: a systematic literature review

A Waqar, I Othman, N Shafiq, MS Mansoor - Artificial Intelligence Review, 2023 - Springer
Oil and gas construction projects are critical for meeting global demand for fossil fuels, but
they also present unique risks and challenges that require innovative construction …

A survey on industry 4.0 for the oil and gas industry: upstream sector

O Elijah, PA Ling, SKA Rahim, TK Geok, A Arsad… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

[PDF][PDF] Eco-efficient well planning: Engineering solutions for reduced environmental impact in hydrocarbon extraction

OU Onwuka, A Adu - International Journal of Scholarly Research in …, 2024 - srrjournals.com
This paper explores the concept of eco-efficient well planning, aiming to minimize the
environmental impact of hydrocarbon extraction through engineering solutions. Faced with …

Impediment to implementation of Internet of Things (IOT) for oil and gas construction project Safety: Structural equation modeling approach

A Waqar, LA Alharbi, FA Alotaibi, I Othman… - Structures, 2023 - Elsevier
Several industries have adopted Internet of Things (IoT) technology extensively. Several
impediments have impeded its widespread adoption in the oil and gas industry, making it …

Powder plasma transferred arc welding of Ni-Si-B+ 60 wt% WC and Ni-Cr-Si-B+ 45 wt% WC for surface cladding of structural steel

ANS Appiah, O Bialas, A Czupryński, M Adamiak - Materials, 2022 - mdpi.com
Increasing demand for sustainable approaches to mining and raw material extraction, has
prompted the need to explore advanced methods of surface modification for structural steels …

Deep learning and time-series analysis for the early detection of lost circulation incidents during drilling operations

M Aljubran, J Ramasamy, M Albassam… - IEEE …, 2021 - ieeexplore.ieee.org
Drilling operations consist of breaking the rock to deepen a wellbore for oil or gas extraction.
A drilling fluid, circulating from the surface through the drill pipe and from the annulus to the …

Explainable and interpretable anomaly detection models for production data

B Alharbi, Z Liang, JM Aljindan, AK Agnia, X Zhang - SPE Journal, 2022 - onepetro.org
Trusting a machine-learning model is a critical factor that will speed the spread of the fourth
industrial revolution. Trust can be achieved by understanding how a model is making …

Well control space out: A deep-learning approach for the optimization of drilling safety operations

A Magana-Mora, M Affleck, M Ibrahim… - IEEE …, 2021 - ieeexplore.ieee.org
As drilling of new oil and gas wells increase to meet energy demands, it is essential to
optimize processes to ensure the health and safety of the crew as well as the protection of …

Drilling Optimization in Challenging Hard and Heterogeneous Sandstones using 3D Progressive Wear Simulation and Multiwell Data Learning

GD Zhan, W B. Contreras Otalvora, X Huang… - International …, 2023 - onepetro.org
Drilling is challenging in hard and heterogeneous sandstones because drill bits can
experience excessive wear, leading to short footage. Consequently, choosing the correct bit …