Numerical simulation of hydrate formation in the LArge-Scale Reservoir Simulator (LARS)
- 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 monitoringThe 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.…
| Author details: | Zhen LiORCiD, Erik SpangenbergORCiD, Judith Maria SchicksORCiDGND, Thomas KempkaORCiDGND |
|---|---|
| DOI: | https://doi.org/10.3390/en15061974 |
| ISSN: | 1996-1073 |
| Title of parent work (English): | Energies : open-access journal of related scientific research, technology development and studies in policy and management |
| Publisher: | MDPI |
| Place of publishing: | Basel |
| Publication type: | Article |
| Language: | English |
| Date of first publication: | 2022/03/08 |
| Publication year: | 2022 |
| Release date: | 2024/01/05 |
| Tag: | electrical resistivity tomography; hydrate formation; methane hydrate; numerical simulation; temperature sensor |
| Volume: | 15 |
| Issue: | 6 |
| Article number: | 1974 |
| Number of pages: | 27 |
| Funding institution: | China Scholarship Council [201806930024] |
| Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Chemie |
| Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften | |
| DDC classification: | 5 Naturwissenschaften und Mathematik / 54 Chemie / 540 Chemie und zugeordnete Wissenschaften |
| Peer review: | Referiert |
| Publishing method: | Open Access / Gold Open-Access |
| DOAJ gelistet | |
| License (German): |  CC-BY - Namensnennung 4.0 International |
