[HTML][HTML] Artificial intelligence: New age of transformation in petroleum upstream

P Solanki, D Baldaniya, D Jogani, B Chaudhary… - Petroleum …, 2022 - Elsevier
Abstract In the Oil and Gas industry, the implementation of artificial intelligence techniques
gives advantages of better use of existing infrastructure. It provides better future outcomes …

Technical and non-technical challenges of development of offshore petroleum reservoirs: Characterization and production

M Seyyedattar, S Zendehboudi, S Butt - Natural Resources Research, 2020 - Springer
Offshore oil and gas reservoirs comprise a significant portion of the world's reserve base,
and their development is expected to help close a potential gap in the supply of …

Porosity prediction from well logs using back propagation neural network optimized by genetic algorithm in one heterogeneous oil reservoirs of Ordos Basin, China

L Chen, W Lin, P Chen, S Jiang, L Liu, H Hu - Journal of Earth Science, 2021 - Springer
A reliable and effective model for reservoir physical property prediction is a key to reservoir
characterization and management. At present, using well logging data to estimate reservoir …

Permeability prediction of isolated channel sands using machine learning

G Zhang, Z Wang, H Li, Y Sun, Q Zhang… - Journal of Applied …, 2018 - Elsevier
Permeability prediction has long been one of the most important and difficult tasks of
reservoir characterization, especially for tight sands with strong heterogeneity. A unified …

Modeling Permeability Using Advanced White-Box Machine Learning Technique: Application to a Heterogeneous Carbonate Reservoir

L Zhao, Y Guo, E Mohammadian… - ACS …, 2023 - ACS Publications
From exploration to production, the permeability of reservoir rocks is essential for various
stages of all types of hydrocarbon field development. In the absence of costly reservoir rock …

Prediction of quality characteristics of laser drilled holes using artificial intelligence techniques

S Chatterjee, SS Mahapatra, V Bharadwaj… - Engineering with …, 2021 - Springer
Micro-drilling using lasers finds widespread industrial applications in aerospace,
automobile, and bio-medical sectors for obtaining holes of precise geometric quality with …

Prediction of welding responses using AI approach: adaptive neuro-fuzzy inference system and genetic programming

S Chatterjee, SS Mahapatra, L Lamberti… - Journal of the Brazilian …, 2022 - Springer
Laser welding of thin sheets has widespread application in various fields such as battery
manufacturing, automobiles, aviation, electronics circuits and medical sciences. Hence, it is …

Data-driven geothermal reservoir modeling: Estimating permeability distributions by machine learning

A Suzuki, K Fukui, S Onodera, J Ishizaki, T Hashida - Geosciences, 2022 - mdpi.com
Numerical modeling for geothermal reservoir engineering is a crucial process to evaluate
the performance of the reservoir and to develop strategies for the future development. The …

Machine learning methods for estimating permeability of a reservoir

H Khan, A Srivastav, A Kumar Mishra… - International Journal of …, 2022 - Springer
The prediction of permeability from the information of a well log is a crucial and extensive
task that is observed in the earth sciences. The permeability of a reservoir is greatly …

CFD simulation of the preheater cyclone of a cement plant and the optimization of its performance using a combination of the design of experiment and multi-gene …

E Kashani, A Mohebbi, MG Heidari - Powder Technology, 2018 - Elsevier
Hurriclon cyclone is a specially designed preheater cyclone with two outlet connector pipes
of cleaned gas in the cement industry. In Kerman cement plant, Iran, the initial structure of …