Print Email Facebook Twitter Influence of process-based, stochastic and deterministic methods for representing heterogeneity in fluvial geothermal systems Title Influence of process-based, stochastic and deterministic methods for representing heterogeneity in fluvial geothermal systems Author Major, Márton (Aarhus University) Daniilidis, Alexandros (TU Delft Reservoir Engineering; University of Geneva) Hansen, Thomas Mejer (Aarhus University) Khait, M. (TU Delft Reservoir Engineering; Stone Ridge Technology) Voskov, D.V. (TU Delft Reservoir Engineering; Stanford University) Date 2023 Abstract 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 based stochastic representation of heterogeneity provides comparable thermal response to a process-based model in fluvial systems of similar quality. Subject DirectuseGeothermalHeterogeneityProcess-basedStochasticThermal response To reference this document use: http://resolver.tudelft.nl/uuid:c25f95e0-fc66-478d-91b3-f5b26d28c55f DOI https://doi.org/10.1016/j.geothermics.2023.102651 ISSN 0375-6505 Source Geothermics, 109 Part of collection Institutional Repository Document type journal article Rights © 2023 Márton Major, Alexandros Daniilidis, Thomas Mejer Hansen, M. Khait, D.V. Voskov Files PDF 1_s2.0_S0375650523000056_main.pdf 15.4 MB Close viewer /islandora/object/uuid:c25f95e0-fc66-478d-91b3-f5b26d28c55f/datastream/OBJ/view