Machine learning - a novel approach to predict the porosity curve using geophysical logs data: An example from the Lower Goru sand reservoir in the Southern Indus Basin, Pakistan

• Published in: Journal of applied geophysics Vol. 214; p. 105067
• Main Authors: Hussain, Wakeel, Luo, Miao, Ali, Muhammad, Hussain, Syed Mumtaz, Ali, Sajid, Hussain, Sartaj, Naz, Asim Falak, Hussain, Saddam
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.07.2023
• Subjects: Borehole geophysics; Fuzzy logic; Goru Reservoir; Indus Basin, Pakistan; Neural networks; PHIT curve; Fuzzy logic; Goru Reservoir; PHIT curve; Neural networks; Indus Basin, Pakistan; Borehole geophysics

Porosity estimation is one of the essential issues in oil and natural gas industries to evaluate the reservoir characteristics properly. Therefore, it is imperative to predict porosity with the optimum way to reduce logging tests. In this paper, fuzzy logic (FL) and neural networks (NNs) are conside...