A robust proxy for production well placement optimization problems

B Pouladi, S Keshavarz, M Sharifi, MA Ahmadi - Fuel, 2017 - Elsevier
Finding optimum well locations is still among the most challenging reservoir engineering
problems. Reservoir simulators are routinely used to evaluate different configuration of well …

PSO–ANN-based prediction of cobalt leaching rate from waste lithium-ion batteries

H Ebrahimzade, GR Khayati, M Schaffie - Journal of Material Cycles and …, 2019 - Springer
Leaching is a complex solid–liquid reaction which has an important influence on the
recovery efficiency of the spent lithium-ion batteries (LIBs). Therefore, it is of significant …

Feasibility of hybrid pso-ann model for identifying soybean diseases

M Ji, P Liu, Q Wu - International Journal of Cognitive Informatics and …, 2021 - igi-global.com
Soybean disease has become one of vital factors restricting the sustainable development of
high-yield and high-quality soybean industry. A hybrid artificial neural network (ANN) model …

Estimating water content of natural gas mixtures considering heavy hydrocarbons contribution using artificial neural networks

J Montenegro, C Veloz, M Ricaurte - Petroleum Science and …, 2023 - Taylor & Francis
The accurate estimation of the water content of natural gas is the basis for proper equipment
design in natural gas processing and transmission facilities. Methods for estimating the …

Analysis of gas production data via an intelligent model: Application to natural gas production

MA Ahmadi, Z Chen - First Break, 2018 - earthdoc.org
Predicting the future oil and gas production rate and evaluating oil/gas reserves are very
challenging issues. Many engineers have found decline curve analysis a useful approach …

[引用][C] Use of artificial neural networks for estimating water content of natural gas mixtures taking into account heavy hydrocarbons contribution

JF Montenegro Madroñero - 2021 - Universidad de Investigación de …