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Nam H. Tran
Researcher at University of New South Wales
Publications - 17
Citations - 303
Nam H. Tran is an academic researcher from University of New South Wales. The author has contributed to research in topics: Fracture (geology) & Fluid dynamics. The author has an hindex of 6, co-authored 17 publications receiving 255 citations.
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Numerical simulation of Fluid-Rock coupling heat transfer in naturally fractured geothermal system
TL;DR: In this article, the role of heat transfer between the rock matrix and circulating fluid on economic hot water production from fractured geothermal systems is investigated and a numerical procedure is developed by coupling fluid flow with heat transfer.
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Integrated conditional global optimisation for discrete fracture network modelling
TL;DR: The methodology is able to produce discrete fracture network that match closely to the target fault map, even in the case where data are limited, and is also able to improve results of several recent fracture models, such as integrated stochastic simulations as well as grid-based simulations.
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Simulated annealing technique in discrete fracture network inversion: optimizing the optimization
TL;DR: In this article, a case study on an actual fracture outcrop, where results are compared with a current and advanced simulated annealing work, is presented, and the improvements are examined in a case-study on a single outcrop.
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Fracture orientation characterization: Minimizing statistical modelling errors
TL;DR: This paper proposes a multimodal circular statistical model to characterize fracture orientation data, and the linear statistics is upgraded to circular statistics on modified orientation data to account for truncation and observational biases.
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Combination of fuzzy ranking and simulated annealing to improve discrete fracture inversion
Nam H. Tran,Kien Tran +1 more
TL;DR: Using the concept of fuzzy memberships, this paper advances the fundamental understanding in fracture network inversion and presents a systematic procedure to solve the most important problem in global optimization (simulated annealing): objective function formulation.