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Can I read Influence of Process-based, Stochastic and Deterministic Methods for Representing Heterogeneity in Fluvial Geothermal Systems on EtoBox?

Influence of Process-based, Stochastic and Deterministic Methods for Representing Heterogeneity in Fluvial Geothermal Systems by Márton Major; Alexandros Daniilidis; Thomas Mejer Hansen; Mark Khait; Denis Voskov is a Engineering article available to read on EtoBox.

What is Influence of Process-based, Stochastic and Deterministic Methods for Representing Heterogeneity in Fluvial Geothermal Systems about?

Focus is on comparing stochastic, process-based and deterministic methods for modelling heterogeneity in hydraulic properties of fluvial geothermal reservoirs. Models are considered a generalized representation of a fluvial sequence in the upper part of the Gassum Formation in northern Denmark. Two ensemble realizations of process-based and stochastic heterogeneity were simulated using the state-of-the-art numerical modelling software, Delft Advanced Research Terra Simulator (DARTS), to assess differences on a statistically relevant sample size. Simulator settings were optimized to achieve two orders of magnitude improvement in simulation time. Our general findings show that the stochastic and process-based methods produce nearly identical results in terms of predicted breakthrough time and production temperature decline for high net-to-gross ratios (N/G). Simple homogenous and layered models overestimate breakthrough and underestimate temperature decline. More complex representation of facies in process-based models show smaller variance in results and stay within the limits of ensemble runs compared to simpler facies representation. Results indicate that a multivariate Gaussian b

Who reads Influence of Process-based, Stochastic and Deterministic Methods for Representing Heterogeneity in Fluvial Geothermal Systems?

It is typically read by researchers, students, and practitioners in Engineering.

Author
Márton Major; Alexandros Daniilidis; Thomas Mejer Hansen; Mark Khait; Denis Voskov
Publisher
Elsevier BV
Published
2023
Language
EN
Field
Engineering (Physical Sciences)

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