A robust approach to pore pressure prediction applying petrophysical log data aided by machine learning techniques-Reference-Cited by-同舟云学术

A robust approach to pore pressure prediction applying petrophysical log data aided by machine learning techniques

Published:2022-11 Issue: Volume:8 Page:2233-2247
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Zhang Guodao^ORCID,Davoodi Shadfar^ORCID,Band Shahab S.,Ghorbani Hamzeh^ORCID,Mosavi Amir,Moslehpour Massoud^ORCID

Funder

Tomsk Polytechnic University

Publisher

Elsevier BV

Subject

General Energy

Reference71 articles.

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

4. Data-driven modeling approach for pore pressure gradient prediction while drilling from drilling parameters;Abdelaal;ACS Omega,2021

5. Pore pressure estimation using artificial neural network;Abidin,2014

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