New Models for Predicting Pore Pressure and Fracture Pressure while Drilling in Mixed Lithologies Using Artificial Neural Networks-Reference-Cited by-同舟云学术

New Models for Predicting Pore Pressure and Fracture Pressure while Drilling in Mixed Lithologies Using Artificial Neural Networks

Published:2022-08-24 Issue:36 Volume:7 Page:31691-31699
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Khaled Samir¹²^ORCID,Soliman Ahmed Ashraf¹^ORCID,Mohamed Abdulrahman¹,Gomaa Sayed¹²,Attia Attia Mahmoud¹

Affiliation:

1. Petroleum Engineering and Gas Technology Department, Faculty of Energy and Environmental Engineering, British University in Egypt (BUE), El Sherouk City11837, Cairo, Egypt

2. Mining and Petroleum Engineering Department, Faculty of Engineering, Al-Azhar University, Nasr City11651, Cairo, Egypt

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.2c01602

Reference43 articles.

1. Abnormal pore pressure and fracture pressure prediction for Miocene reservoir rock, field X in Vietnam

2. Modeling pore pressure and fracture pressure using integrated well logging, drilling based interpretations and reservoir data in the giant El Morgan oil field, Gulf of Suez, Egypt

3. Origin of overpressure and pore-pressure prediction in the Baram province, Brunei

4. Fundamentals of Drilling Engineering

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