[HTML][HTML] Refinery 4.0, a review of the main challenges of the Industry 4.0 paradigm in oil & gas downstream
Industry 4.0 concept has become a worldwide revolution that has been mainly led by the
manufacturing sector. Continuous Process Industry is part of this global trend where there …
manufacturing sector. Continuous Process Industry is part of this global trend where there …
A paradigm shift for modeling and operation of oil and gas: From industry 4.0 in CPS to Industry 5.0 in CPSS
X Wang, Y Wang, J Yang, X Wang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Under the impetus of Industry 4.0, oil and gas is undergoing an unprecedented digital
transformation, and many innovative ideas are proposed. However, the achieved higher …
transformation, and many innovative ideas are proposed. However, the achieved higher …
Human centric digital transformation and operator 4.0 for the oil and gas industry
Working at an oil and gas facility, such as a drilling rig, production facility, processing facility,
or storage facility, involves various challenges, including health and safety risks. It is …
or storage facility, involves various challenges, including health and safety risks. It is …
Towards drilling rate of penetration prediction: Bayesian neural networks for uncertainty quantification
M Bizhani, E Kuru - Journal of Petroleum Science and Engineering, 2022 - Elsevier
Drilling rate of penetration (ROP) prediction has long been a part of any drilling activity. By
accurate prediction of ROP, optimization can be done that maximizes ROP and reduces …
accurate prediction of ROP, optimization can be done that maximizes ROP and reduces …
[HTML][HTML] Artificial general intelligence for the upstream geoenergy industry: a review
Abstract Artificial General Intelligence (AGI) is set to profoundly impact the traditional
upstream geoenergy industry (ie, oil and gas industry) by introducing unprecedented …
upstream geoenergy industry (ie, oil and gas industry) by introducing unprecedented …
Uncertainty quantification of reservoir performance using machine learning algorithms and structured expert judgment
The increasing demand for fossil energy necessitates forecasting of reservoir performance
and informed decision-making under various production scenarios. Although reservoir …
and informed decision-making under various production scenarios. Although reservoir …
Advancements in field development planning through mathematical analysis for reserves estimation, casing design, accidental events and carbon dioxide storage
The objective of this work is to introduce novel methodologies in specific parts of Field
Development Plans (FDPs) by leveraging contemporary technological advancements …
Development Plans (FDPs) by leveraging contemporary technological advancements …
Selection of sand control completion techniques using machine learning
Sand production is one of the major problems in many oil and gas assets around the world.
Uncontrollable sand production can affect hydrocarbon recovery and increase operational …
Uncontrollable sand production can affect hydrocarbon recovery and increase operational …
Big data analytics in oil and gas industry
V Shah, J Shah, K Dudhat, P Mehta… - … Technol. Sustain. Smart …, 2022 - api.taylorfrancis.com
An oilfield is a commercial asset similar to any other in that it requires investment to generate
revenue. When it comes to the way the oil and gas (O&G) sector spends to create cash flow …
revenue. When it comes to the way the oil and gas (O&G) sector spends to create cash flow …
Case studies involving machine learning for predictive maintenance in oil and gas production operations
Throughout history, maintenance has moved from reactive maintenance of fixing it when it
breaks toward more systematic analysis techniques in terms of root-cause analysis …
breaks toward more systematic analysis techniques in terms of root-cause analysis …