Pore pressure prediction based on conventional well logs and seismic data using an advanced machine learning approach

Pore pressure is a decisive measure to assess the reservoir’s geomechanical properties, ensures safe and efficient drilling operations, and optimizes reservoir characterization and production. The conventional approaches sometimes fail to comprehend complex and persistent relationships between pore...

詳細記述

書誌詳細

出版年:	Journal of Rock Mechanics and Geotechnical Engineering
主要な著者:	Muhsan Ehsan, Umar Manzoor, Rujun Chen, Muyyassar Hussain, Kamal Abdelrahman, Ahmed E. Radwan, Jar Ullah, Muhammad Khizer Iftikhar, Farooq Arshad
フォーマット:	論文
言語:	英語
出版事項:	Elsevier 2025-05-01
主題:	Pore pressure Conventional well logs Seismic data Machine learning Complex formations
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S1674775524005213