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George J. Moridis
Researcher at Lawrence Berkeley National Laboratory
Publications - 307
Citations - 14455
George J. Moridis is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Clathrate hydrate & Hydrate. The author has an hindex of 61, co-authored 285 publications receiving 12384 citations. Previous affiliations of George J. Moridis include Texas A&M University & National University of Singapore.
Papers
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Journal ArticleDOI
Coupled Flow/Geomechanics Modeling of Interfracture Water Injection To Enhance Oil Recovery in Tight Reservoirs
TL;DR: In this paper, the feasibility and efficiency of interfracture water injection to enhance oil recovery in multistage fractured tight oil reservoirs are analyzed through an efficient coupled flow/geomechanics model with an embedded discrete-fracture model.
Book ChapterDOI
Gas Production from Unconfined Class 2 Oceanic Hydrate Accumulations
TL;DR: In this paper, the authors propose a 7.7.7-approximation algorithm for each node. And the algorithm works well on all the nodes in the tree-line.
Journal ArticleDOI
Numerical Predictions of Experimentally Observed Methane Hydrate Dissociation and Reformation in Sandstone
TL;DR: In this article, the authors successfully reproduce experimental data of hydrate dissociation using the Tough+HYDRATE (T+H) code, which is used for the prediction and evaluation of conventional hydrocarbon reservoir performance.
Journal ArticleDOI
Investigation of Possible Wellbore Cement Failures During Hydraulic Fracturing Operations
TL;DR: In this article, the authors model and assess the possibility of shear failure along the vertical well by using the Mohr-Coulomb failure model and employing a rigorous coupled flow-geomechanic analysis.
Journal ArticleDOI
Numerical simulation of diverse thermal in situ upgrading processes for the hydrocarbon production from kerogen in oil shale reservoirs
TL;DR: In this paper, the productivity and product selectivity of diverse thermal in situ upgrading processes in oil shale reservoirs were investigated and the authors applied the ideas of Shell In situ Convex Convergence (INConvConv) in order to improve the performance of these processes.