Temoor Muther

TL;DR: In this article, a review of gas adsorption in the light of applications, comparisons and challenges along with shale controlling factors is presented, and it provides a better opportunity to comprehend shale storage and platforms to investigate further mechanisms of shale gas storage.

TL;DR: This review paper encompasses the literature published in the recent years and narrated the recent development made by researchers especially in the field of production performance estimation of shale gas by developing machine learning-based models.

TL;DR: In this paper, the authors analyzed different fracture geometries and their effect on tight gas production and found that keeping the hydraulic fracture at constant height and constant width while increasing the fracture half-length resulted in enhanced tight gas productivity.

TL;DR: In this article , a detailed discussion on laboratory-based experimental achievements at micro-scale including fundamental concepts under confinement environment, physics-based numerical studies, and recent actual field piloting experiences based on the U.S. unconventional plays is presented.

TL;DR: In this paper, a systematic literature review is presented focused on the AI and ML applications for the shale gas production performance evaluation and their modeling, which can be utilized through supervised and unsupervised methods in addition to artificial neural networks (ANN), other ML approaches include random forest (RF), SVM, boosting technique, clustering methods, and artificial network-based architecture, etc.