Nashed, S.; Lnu, S.; Guezei, A.; Ejehu, O.; Moghanloo, R.
Downhole Camera Runs Validate the Capability of Machine Learning Models to Accurately Predict Perforation Entry Hole Diameter. Energies 2024, 17, 5558.
https://doi.org/10.3390/en17225558
AMA Style
Nashed S, Lnu S, Guezei A, Ejehu O, Moghanloo R.
Downhole Camera Runs Validate the Capability of Machine Learning Models to Accurately Predict Perforation Entry Hole Diameter. Energies. 2024; 17(22):5558.
https://doi.org/10.3390/en17225558
Chicago/Turabian Style
Nashed, Samuel, Srijan Lnu, Abdelali Guezei, Oluchi Ejehu, and Rouzbeh Moghanloo.
2024. "Downhole Camera Runs Validate the Capability of Machine Learning Models to Accurately Predict Perforation Entry Hole Diameter" Energies 17, no. 22: 5558.
https://doi.org/10.3390/en17225558
APA Style
Nashed, S., Lnu, S., Guezei, A., Ejehu, O., & Moghanloo, R.
(2024). Downhole Camera Runs Validate the Capability of Machine Learning Models to Accurately Predict Perforation Entry Hole Diameter. Energies, 17(22), 5558.
https://doi.org/10.3390/en17225558