Data driven models to predict pore pressure using drilling and petrophysical data

Author:

Jafarizadeh Farshad,Rajabi Meysam,Tabasi Somayeh,Seyedkamali Reza,Davoodi ShadfarORCID,Ghorbani HamzehORCID,Alvar Mehdi Ahmadi,Radwan Ahmed E.ORCID,Csaba Mako

Publisher

Elsevier BV

Subject

General Energy

Reference81 articles.

1. Robust hybrid machine learning algorithms for gas flow rates prediction through wellhead chokes in gas condensate fields;Abad;Fuel,2022

2. Hybrid machine learning algorithms to predict condensate viscosity in the near wellbore regions of gas condensate reservoirs;Abad;J. Nat. Gas Sci. Eng.,2021

3. Predicting oil flow rate through orifice plate with robust machine learning algorithms;Abad;Flow Meas. Instrum.,2021

4. Petroleum well blowouts as a threat to drilling operation and wellbore sustainability: causes, prevention, safety and emergency response;Abdali;J. Constru. Mater.— Special Issue on Sustainable Petroleum Engineering ISSN,2021

5. Geomechanical modeling using the depth-of-damage approach to achieve successful underbalanced drilling in the Gulf of Suez rift basin;Abdelghany;J. Pet. Sci. Eng.,2021

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