APA (7th ed.) Citation

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 (19961073), 17(22), 5558. https://doi.org/10.3390/en17225558

Chicago Style (17th ed.) Citation

Nashed, Samuel, Srijan Lnu, Abdelali Guezei, Oluchi Ejehu, and Rouzbeh Moghanloo. "Downhole Camera Runs Validate the Capability of Machine Learning Models to Accurately Predict Perforation Entry Hole Diameter." Energies (19961073) 17, no. 22 (2024): 5558. https://doi.org/10.3390/en17225558.

MLA (9th ed.) Citation

Nashed, Samuel, et al. "Downhole Camera Runs Validate the Capability of Machine Learning Models to Accurately Predict Perforation Entry Hole Diameter." Energies (19961073), vol. 17, no. 22, 2024, p. 5558, https://doi.org/10.3390/en17225558.