date: 2022-03-08T12:32:20Z pdf:PDFVersion: 1.7 pdf:docinfo:title: Numerical Simulation of Hydrate Formation in the LArge-scale Reservoir Simulator (LARS) xmp:CreatorTool: LaTeX with hyperref Keywords: methane hydrate; temperature sensor; electrical resistivity tomography; hydrate formation; numerical simulation access_permission:modify_annotations: true access_permission:can_print_degraded: true subject: The LArge-scale Reservoir Simulator (LARS) has been previously developed to study hydrate dissociation in hydrate-bearing systems under in-situ conditions. In the present study, a numerical framework of equations of state describing hydrate formation at equilibrium conditions has been elaborated and integrated with a numerical flow and transport simulator to investigate a multi-stage hydrate formation experiment undertaken in LARS. A verification of the implemented modeling framework has been carried out by benchmarking it against another established numerical code. Three-dimensional (3D) model calibration has been performed based on laboratory data available from temperature sensors, fluid sampling, and electrical resistivity tomography. The simulation results demonstrate that temperature profiles, spatial hydrate distribution, and bulk hydrate saturation are consistent with the observations. Furthermore, our numerical framework can be applied to calibrate geophysical measurements, optimize post-processing workflows for monitoring data, improve the design of hydrate formation experiments, and investigate the temporal evolution of sub-permafrost methane hydrate reservoirs. dc:creator: Zhen Li, Erik Spangenberg, Judith M. Schicks and Thomas Kempka dcterms:created: 2022-03-08T12:29:34Z Last-Modified: 2022-03-08T12:32:20Z dcterms:modified: 2022-03-08T12:32:20Z dc:format: application/pdf; version=1.7 title: Numerical Simulation of Hydrate Formation in the LArge-scale Reservoir Simulator (LARS) Last-Save-Date: 2022-03-08T12:32:20Z pdf:docinfo:creator_tool: LaTeX with hyperref access_permission:fill_in_form: true pdf:docinfo:keywords: methane hydrate; temperature sensor; electrical resistivity tomography; hydrate formation; numerical simulation pdf:docinfo:modified: 2022-03-08T12:32:20Z meta:save-date: 2022-03-08T12:32:20Z pdf:encrypted: false dc:title: Numerical Simulation of Hydrate Formation in the LArge-scale Reservoir Simulator (LARS) modified: 2022-03-08T12:32:20Z cp:subject: The LArge-scale Reservoir Simulator (LARS) has been previously developed to study hydrate dissociation in hydrate-bearing systems under in-situ conditions. In the present study, a numerical framework of equations of state describing hydrate formation at equilibrium conditions has been elaborated and integrated with a numerical flow and transport simulator to investigate a multi-stage hydrate formation experiment undertaken in LARS. A verification of the implemented modeling framework has been carried out by benchmarking it against another established numerical code. Three-dimensional (3D) model calibration has been performed based on laboratory data available from temperature sensors, fluid sampling, and electrical resistivity tomography. The simulation results demonstrate that temperature profiles, spatial hydrate distribution, and bulk hydrate saturation are consistent with the observations. Furthermore, our numerical framework can be applied to calibrate geophysical measurements, optimize post-processing workflows for monitoring data, improve the design of hydrate formation experiments, and investigate the temporal evolution of sub-permafrost methane hydrate reservoirs. pdf:docinfo:subject: The LArge-scale Reservoir Simulator (LARS) has been previously developed to study hydrate dissociation in hydrate-bearing systems under in-situ conditions. In the present study, a numerical framework of equations of state describing hydrate formation at equilibrium conditions has been elaborated and integrated with a numerical flow and transport simulator to investigate a multi-stage hydrate formation experiment undertaken in LARS. A verification of the implemented modeling framework has been carried out by benchmarking it against another established numerical code. Three-dimensional (3D) model calibration has been performed based on laboratory data available from temperature sensors, fluid sampling, and electrical resistivity tomography. The simulation results demonstrate that temperature profiles, spatial hydrate distribution, and bulk hydrate saturation are consistent with the observations. Furthermore, our numerical framework can be applied to calibrate geophysical measurements, optimize post-processing workflows for monitoring data, improve the design of hydrate formation experiments, and investigate the temporal evolution of sub-permafrost methane hydrate reservoirs. Content-Type: application/pdf pdf:docinfo:creator: Zhen Li, Erik Spangenberg, Judith M. Schicks and Thomas Kempka X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Zhen Li, Erik Spangenberg, Judith M. Schicks and Thomas Kempka meta:author: Zhen Li, Erik Spangenberg, Judith M. Schicks and Thomas Kempka dc:subject: methane hydrate; temperature sensor; electrical resistivity tomography; hydrate formation; numerical simulation meta:creation-date: 2022-03-08T12:29:34Z created: Tue Mar 08 13:29:34 CET 2022 access_permission:extract_for_accessibility: true access_permission:assemble_document: true xmpTPg:NPages: 27 Creation-Date: 2022-03-08T12:29:34Z access_permission:extract_content: true access_permission:can_print: true meta:keyword: methane hydrate; temperature sensor; electrical resistivity tomography; hydrate formation; numerical simulation Author: Zhen Li, Erik Spangenberg, Judith M. Schicks and Thomas Kempka producer: pdfTeX-1.40.21 access_permission:can_modify: true pdf:docinfo:producer: pdfTeX-1.40.21 pdf:docinfo:created: 2022-03-08T12:29:34Z