Artificial Intelligence Models for Real-Time Bulk Density Prediction of Vertical Complex Lithology Using the Drilling Parameters

Author:

Ahmed Ashraf,Elkatatny SalaheldinORCID,Gamal Hany,Abdulraheem Abdulazeez

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference69 articles.

1. Reichel, N.; Evans, M.; Allioli, F.; Mauborgne, M.-L.; Nicoletti, L.; Haranger, F.; Laporte, N.; Stoller, C.; Cretoiu, V.; El Hehiawy, E.; Rabei, R.: Sourceless neutron-gamma density (SNGD): principles, field-test results and log quality control of a radioisotope-free bulk-density measurement. Petrophysics 54(2), 91–103 (2013)

2. Spross, R.; Burnett, T.; Freeman, J.; Jones, D.; Paske, W.; Zannoni, S.: Formation density measurement while drilling. SPWLA 34th Annual Logging Symposium, 13–16 June, Calgary, Alberta, Society of Petrophysicists and Well-Log Analysts (1993)

3. Ellis, D.: Formation porosity estimation from density logs. Petrophysics 44(5), 306–316 (2003)

4. Alger, R.; Raymer, L.: Formation density log applications in liquid-filled holes. J. Pet. Technol. 15(3), 321–332 (1963). https://doi.org/10.2118/435-PA

5. Burrus, J.: Overpressure models for clastic rocks, their relation to hydrocarbon expulsion: a critical reevaluation. In Abnormal Pressures in Hydrocarbon Environments (Vol. 70). Geoscience World (1998). https://doi.org/10.1306/M70615

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