Hydrates Production Prediction With Computer Modelling Group (CMG) Stars. A Comprehensive Review

• Main Authors: Katabaro, Daudi Matungwa, Jinjie, Wang
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2018
• Subjects: Philosophy; permafrost
• Online Access: https://philpapers.org/rec/KATHPP

Abstract: Hydrates are an enormous energy resource with global circulation in the permafrost and in the oceans. Even if conventional estimates are deliberated and only a small fraction is recoverable, the pure size of the resource is so huge that it demands assessment as a potential energy source. In this research work, we discuss the hydrate production prediction with Computer Modeling Group STARS (CMG STARS). In this paper different literatures reviews have been visited concerning hydrate production prediction with CMG STARS and this have been done through consulting internet search in which secondary data were extracted. It was observed that most literatures does not quantify the knowledge on how hydrates production prediction with CMG STARS can be done. It was recommended that in the future, the research work on hydrate production prediction with CMG needs to be done by performing sensitivity analysis of different reservoir parameters which affect production process and commences the simulation model for the production prediction