APA (7th ed.) Citation

Национальный исследовательский Томский политехнический университет Инженерная школа природных ресурсов, Davoodi Sh. Shadfar, Gulniyazov A. S. Arslan Serdarovich, Wood D. A David, Al-Shargabi M. A. T. S. Mokhammed Abdulsalam Takha Sallam, Makarov N. S. Nikita Sergeevich, & Burnaev E. Egeny. (2026). Machine-learning predictions of high-pressure high-temperature filtrate loss in oil-based drilling fluids from well-site measurements; Petroleum Science; Vol. 23, iss. 9. 2026. https://doi.org/10.1016/j.petsci.2026.03.053

Chicago Style (17th ed.) Citation

Национальный исследовательский Томский политехнический университет Инженерная школа природных ресурсов, Davoodi Sh. Shadfar, Gulniyazov A. S. Arslan Serdarovich, Wood D. A David, Al-Shargabi M. A. T. S. Mokhammed Abdulsalam Takha Sallam, Makarov N. S. Nikita Sergeevich, and Burnaev E. Egeny. Machine-learning Predictions of High-pressure High-temperature Filtrate Loss in Oil-based Drilling Fluids from Well-site Measurements; Petroleum Science; Vol. 23, Iss. 9. 2026, 2026. https://doi.org/10.1016/j.petsci.2026.03.053.

MLA (9th ed.) Citation

Национальный исследовательский Томский политехнический университет Инженерная школа природных ресурсов, et al. Machine-learning Predictions of High-pressure High-temperature Filtrate Loss in Oil-based Drilling Fluids from Well-site Measurements; Petroleum Science; Vol. 23, Iss. 9. 2026, 2026. https://doi.org/10.1016/j.petsci.2026.03.053.