AI-based modeling: techniques, applications and research issues towards automation, intelligent and smart systems

IH Sarker - SN Computer Science, 2022 - Springer
Artificial intelligence (AI) is a leading technology of the current age of the Fourth Industrial
Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and …

DEEP LEARNING FOR NONLINEAR REGRESSION

MA DJENANE, N ZAHI - 2022 - dspace.univ-tiaret.dz
Artificial intelligence based on deep learning has shown to be useful in a wide range of
applications and research areas because, in contrast to traditional machine learning …

Data driven gas well performance model hands back control to engineers

C Veeken - SPE Annual Technical Conference and Exhibition?, 2021 - onepetro.org
This paper presents a fit-for-purpose gas well performance model that utilizes a minimum set
of inflow and outflow performance parameters, and demonstrates the use of this model to …

Data-Driven Optimization of Intermittent Gas Production in Mature Fields Assisted by Deep Learning and a Population-Based Global Optimizer

JF Gómez, PS Omrani, SPC Belfroid - SPE Annual Technical …, 2021 - onepetro.org
In gas wells, decreased/unstable production can occur due to difficult-to-predict dynamic
effects resulted from late-life phenomena, such as liquid loading and flooding. To minimize …

Real-Time Model-Based Condition Monitoring of Geothermal Systems Under Uncertainties–Case Study on Electrical Submersible Pumps

P Shoeibi Omrani, Y Yang, HHM Rijnaarts… - Available at SSRN … - papers.ssrn.com
Monitoring the condition of geothermal facilities and equipment (GFE) is crucial for ensuring
reliable and cost-effective operations. This work emphasizes the importance of real-time …

[PDF][PDF] Digitalization of North Sea Energy systems

NS Energy - publications.tno.nl
Executive summary Digitalization in relation to offshore energy systems is a topic of interest
in the context of North Sea Energy (NSE) program. This report presents an overview on how …