Bulk density prediction while drilling vertical complex lithology using artificial intelligence

Author:

Ahmed Ashraf,Gamal Hany,Elkatatny Salaheldin,Ali Abdelwahab

Publisher

Elsevier BV

Subject

Geophysics

Reference67 articles.

1. Estimating density and vertical stress magnitudes using hydrocarbon exploration data in the onshore Northern Niger Delta Basin, Nigeria: implication for overpressure prediction;Adewole;J. Afr. Earth Sci.,2016

2. Artificial intelligence techniques and their applications in drilling fluid engineering: a review;Agwu;J. Pet. Sci. Eng.,2018

3. Application of Artificial Intelligence Techniques in Estimating Oil Recovery Factor for Water Derive Sandy Reservoirs. Proceedings of the SPE Kuwait Oil & Gas Show and Conference, Kuwait City, Kuwait, 15-18 October;Ahmed,2017

4. Rate of Penetration Prediction in Shale Formation Using Fuzzy Logic. Proceedings of the International Petroleum Technology Conference, Beijing, China, 26-28 March;Ahmed,2019

5. Artificial Neural Network ANN Approach to Predict Fracture Pressure. Proceedings of the SPE Middle East Oil and Gas Show and Conference, Manama, Bahrain, 18-21 March;Ahmed,2019

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