03.06.2018 - 07.06.2018; Tagung
Computational Methods in Water Resources XXII. Bridging gaps between data, models and predictions
Computational Methods in Water Resources (CMWR) is a series of conference dating back to 1976 organized every two years alternatively in America and in Europe. It has continuously promoted interdisciplinary approaches relying on excellence in hydrological sciences, mathematical and computational sciences.
CMWR 2018 will present cutting-edge science on modeling in water resources and wishes to address emerging challenges and opportunities to bridge gaps between data, models and predictions. We encourage contributions on broad range of approaches using without limitation
- Novel computational and mathematical methods in hydrology
- Advanced uses of numerical methods, simulations and models
- Emerging imaging techniques and lab experiments for model development and validation
- Integrated field investigations for improved modelling and prediction relevance
- New machine learning and big data opportunities in hydrological sciences
Session: "Confrontations of models with field data: applications to CO2 storage, geothermal production and managed aquifer recharge".
Conveners
Auli Niemi, Department of Earth Sciences, Uppsala University, Sweden
Catalin Stefan, Research Group INOWAS, Faculty of Environmental Sciences, Technische Universität Dresden, Germany
Chin-Fu Tsang, Lawrence Berkeley National Laboratory, Energy Geoscience Division, US
Pascal Audigane, Groundwater Resources Management, BRGM, France
Description
In a context of global climate change, reduction of greenhouse gas emission, and optimization of the energy resources, the use of underground for either store or extract energy via fluid or mass transfer (gas, water, heat) is reaching a stage for deployment of pilot or commercial scale sites. For each country, the national regulation for such implantation requires very often a model-based assessment (via specific guidelines) to evaluate different stages of the power plants implantation: feasibility and design of the site, prediction and optimization of the injection-production-storage process, environmental impacts and risk assessment, and post-closure and long term evolution of the site and surrounding areas.
We propose in this session to discuss about the modeling capacities and performances to provide such insights looking at three specific applications:
- CO2 geological storage,
- Geothermal production, and
- Managed Aquifer Recharge.
Building up a calibrated model takes up time and requires a detailed data set, however, modeling does not always lead to success. Proposed papers should illustrate how, once confronted to the field data, modeling is capable to manage and provide acceptable estimations of the field sites evolution at all stages and what are the actual limitations and progress to consider.
Specific simulated processes include but are not limited to:
- Field case study of fluid or heat flow injection/production in porous and/or fractured media
- Two phase flow modeling (unsaturated zone, gas-liquid flow)
- Saline fluids transport (reservoir brines flow, saltwater intrusion, buoyancy induced flow)
- Clogging phenomenon related to field activity (wells, aquifers reservoirs porosity)
- Hydro-geochemical environmental impacts (water quality, microbial activity, elements release)
Important dates
- November 15, 2017: Deadline for Abstract Submission
- January 15, 2018: Notification of Abstract Acceptance
- March 15, 2018: Deadline for Early Registration
- May 15, 2018: Closing Registration
- June 3-7, 2018: Conference