Meshal Musaed ALMASHAN, a third-year doctoral student in the Department of Advanced Interdisciplinary Engineering, Associate Professor Yoshiaki Narusue from the Department of Electrical Engineering, and Professor Hiroyuki Morikawa received Japan Petroleum Institute Paper Award.

Name of award and short explanation about the award

The Japan Petroleum Institute Paper Award is given to authors of outstanding papers published in the Journal of the Japan Petroleum Institute.

About awarded research (activity)

In petroleum development, the pressure-volume-temperature (PVT) properties of reservoir fluids are crucial for predicting fluid phase behavior, necessitating accurate and reliable data. This study addresses the black-box problem of neural networks in estimating bubble point pressure and oil formation volume factor by using a modeling approach based on boosted decision tree regression, analyzing its performance in detail. The proposed method demonstrates estimation accuracy comparable to or exceeding existing machine learning models and traditional correlation-based methods, and its effectiveness with missing data has also been confirmed. The outcomes of this research significantly contribute to the advancement of estimation methods for PVT properties in this field.