“…Machine learning-based petrophysical prediction is a technique that uses artificial intelligence (AI) algorithms to predict the reservoir's properties based on the well log data (e.g., (Bangert, 2021;Giao et al, 2022Giao et al, , 2018Korjani, 2016;Misra et al, 2019;Ratnayake and Giao, 2022;Saikia et al, 2020). Rock physical modeling (RPM) uses mechanical laws and laboratory measurements to model the rock's behavior under different conditions (e.g., Avseth et al, 2005;Avseth and Odegaard, 2004;Giao et al, 2021;Mavko et al, 2009). Seismic inversion involves the use of seismic data to image the subsurface and extract information about the reservoir properties.…”