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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.