Research on prediction methods of formation pore pressure based on machine learning

Research on prediction methods of formation pore pressure based on machine learning

Abstract Formation pressure is the most fundamental data in oil and gas drilling and production; it has an important position in the entire cycle of oil and gas extraction. However, most current prediction methods are limited to parametric methods with fixed models; such that the accuracy does not m...

Full description

Bibliographic Details
Main Authors: Honglin Huang, Jun Li, Hongwei Yang, Biao Wang, Reyu Gao, Ming Luo, Wentuo Li, Geng Zhang, Liu Liu
Format: Article
Language:English
Published: Wiley 2022-06-01
Series:Energy Science & Engineering
Subjects:
effective stress
formation physical property and lithology
logging data
machine learning
pore pressure
Online Access:https://doi.org/10.1002/ese3.1112

Similar Items

Similar Items