1-13 of 13
Keywords: artificial neural network
Close
Sort by
Journal Articles
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. September 2022, 144(9): 093002.
Paper No: JERT-21-2015
Published Online: February 9, 2022
... techniques: artificial neural network (ANN), support vector machine (SVM), and decision tree (DT); the second dataset was used to evaluate it. The ML results were compared with the results of a real-time drilling-data-quality expert. Despite the complexity of ANN and good results in general, it achieved...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. June 2022, 144(6): 061301.
Paper No: JERT-21-1247
Published Online: August 4, 2021
...Umang H. Rathod; Vinayak Kulkarni; Ujjwal K. Saha This article addresses the application of artificial neural network (ANN) and genetic expression programming (GEP), the popular artificial intelligence, and machine learning methods to estimate the Savonius wind rotor’s performance based...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. April 2022, 144(4): 042302.
Paper No: JERT-21-1196
Published Online: July 15, 2021
.... As direct combustion control is challenging, alternative methods like combustion physics-derived models are a subject of research interest. In this work, a composite predictive model was proposed by integrating trained random forest (RF) machine learning and artificial neural networks (ANNs) to combustion...
Journal Articles
Journal Articles
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. December 2020, 142(12): 123301.
Paper No: JERT-19-1835
Published Online: June 12, 2020
... models applying artificial neural network (ANN) to predict hydrocarbon productions under heterogeneous and unknown properties of unconventional reservoirs. We study two different thermal recovery methods—expanding solvent steam-assisted gravity drainage for bitumen and in-situ upgrading of oil shale. We...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. October 2020, 142(10): 103007.
Paper No: JERT-19-1740
Published Online: June 9, 2020
... on nonlinear diffusion filters to constitute the dataset for machine learning. An artificial neural network (ANN) is then generated and trained to simulate the connection relationship between the producer and its adjacent injectors. The genetic algorithm (GA) is also introduced to avoid the tedious process...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Energy Resour. Technol. April 2019, 141(4): 041001.
Paper No: JERT-18-1524
Published Online: November 19, 2018
...), pressures (0.1–49.3 MPa), and viscosities (0.139–1.950 mPa·s). Our results show that the proposed model is more applicable than the artificial neural network (ANN) model at this sample size, which is superior to four commonly used traditional empirical correlations. The technique presented in this study can...
Includes: Supplementary data