scholarly journals Bayesian calibration of a large-scale geothermal reservoir model by a new adaptive delayed acceptance Metropolis Hastings algorithm

2011 ◽  
Vol 47 (10) ◽  
Author(s):  
T. Cui ◽  
C. Fox ◽  
M. J. O'Sullivan
Keyword(s):  
Large Scale ◽  
Geothermal Reservoir ◽  
Reservoir Model ◽  
Bayesian Calibration

scholarly journals Bayesian calibration of a natural state geothermal reservoir model, Krafla, north Iceland

2021 ◽  
Author(s):  
Samuel Scott ◽  
John P O'Sullivan ◽  
Oliver J Maclaren ◽  
Ruanui Nicholson ◽  
Cari Covell ◽  
...  
Keyword(s):  
Geothermal Reservoir ◽  
Natural State ◽  
Reservoir Model ◽  
Bayesian Calibration

A numerical method for the solution of geothermal reservoir model equations

Geothermics ◽  
1989 ◽  
Vol 18 (3) ◽  
pp. 377-391 ◽  
Author(s):  
J.J. Gelegenis ◽  
V.A. Lygerou ◽  
N.G. Koumoutsos
Keyword(s):  
Numerical Method ◽  
Geothermal Reservoir ◽  
Reservoir Model ◽  
Model Equations

Geophysical investigations of the Cove Fort‐Sulphurdale geothermal system, Utah

Geophysics ◽  
1985 ◽  
Vol 50 (11) ◽  
pp. 1732-1745 ◽  
Author(s):  
Howard P. Ross ◽  
Joseph N. Moore
Keyword(s):  
High Temperature ◽  
Large Scale ◽  
Thermal Anomaly ◽  
Power Production ◽  
Time Frame ◽  
Geothermal Reservoir ◽  
Magnetic Data ◽  
Geothermal System ◽  
Thermal Anomalies ◽  
Geothermal Fluids

The Cove Fort‐Sulphurdale KGRA is part of one of the largest thermal anomalies in the western United States. Since 1975 an extensive data base has been developed which includes the results of detailed and regional geologic, gravity, magnetic, seismic, and resistivity investigations. Geologic studies have delineated the major tectonic elements of the thermal system and have led to the recognition of large‐scale gravitational glide blocks that act as a leaky cap to portions of the geothermal system. Gravity and magnetic data have delineated major throughgoing structures beneath alluvium and basalt cover, and have indicated the importance of the Cove Fort‐Beaver graben in localizing the geothermal reservoir. The presence of these structures and a high level of microearthquake activity suggest other target areas within the larger thermal anomaly. Electrical resistivity surveys and thermal gradient holes both contribute to the delineation of the known reservoir. Four deep exploration wells which test the geothermal system were drilled between 1975 and 1979. One well, CFSU 42–7, recorded temperatures of 178°C. The high cost of drilling, high corrosion rates, low reservoir pressures, and the apparent limited extent of the high‐temperature reservoir led to a premature conclusion in 1980 that the field was not economic for large‐scale electric power production. More recent drilling in the vicinity of CFSU 42–7 resulted in the discovery of high‐temperature (200°C?) geothermal fluids at a depth of approximately 350 m. A well‐head generator was installed and power production is expected in 1985. Additional development of the geothermal reservoir is anticipated in the 1985 to 1987 time frame.

scholarly journals The Analysis of Heat Storage Capacity and the Formation Characteristics of Geothermal Resources in Sedimentary Basins —— A Case Study on Dunhuang Basin

2015 ◽  
Vol 8 (1) ◽  
pp. 73-76
Author(s):  
Yujiang He ◽  
Guiling Wang ◽  
Wenjing Lin ◽  
Wei Zhang
Keyword(s):  
Storage Capacity ◽  
Heat Storage ◽  
Sedimentary Basin ◽  
Sedimentary Basins ◽  
Geological Structure ◽  
Geothermal Reservoir ◽  
Geothermal Resource ◽  
Reservoir Model ◽  
Geothermal Resources

The geothermal resources in sedimentary basin are affected by many factors because the characteristic of geothermal reservoirs is very complex, so the heat storage capacities are hard to calculate. This paper took Dunhuang Basin as an example to analyze the geological structure, stratigraphic structure and the formation mechanism of geothermal water based on the formation characteristics of the geothermal resources. The analysis results showed the geothermal reservoir parameters, including the area, thickness, and temperature of the geothermal reservoir, and porosity, etc. Based on geothermal reservoir model, the conclusion was that the geothermal resource of Dunhuang Basin was 7.75E+16kJ. The results provided an advice for the exploitation of geothermal resources in sedimentary basins.

Determining the most representative reservoir model for the shallow depth salihli geothermal reservoir in Turkey using tracer test

2022 ◽  
Author(s):  
Hakki Aydin ◽  
Tuğbanur Özen Balaban ◽  
Ali Bülbül ◽  
Şükrü Merey ◽  
Gültekin Tarcan
Keyword(s):  
Tracer Test ◽  
Geothermal Reservoir ◽  
Shallow Depth ◽  
Reservoir Model

3D Geological modelling of the Taupo Volcanic Zone as a foundation for a geothermal reservoir model

2017 ◽  
Vol 61 (1) ◽  
pp. 79-95 ◽  
Author(s):  
Sarah D. Milicich ◽  
Sophie C. Pearson-Grant ◽  
Samantha Alcaraz ◽  
Paul A. White ◽  
Constanze Tschritter
Keyword(s):  
Geothermal Reservoir ◽  
Taupo Volcanic Zone ◽  
Reservoir Model ◽  
Volcanic Zone ◽  
Geological Modelling

scholarly journals Bayesian Calibration and Validation of a Large‐Scale and Time‐Demanding Sediment Transport Model

2020 ◽  
Vol 56 (7) ◽  
Author(s):  
Felix Beckers ◽  
Andrés Heredia ◽  
Markus Noack ◽  
Wolfgang Nowak ◽  
Silke Wieprecht ◽  
...  
Keyword(s):  
Sediment Transport ◽  
Large Scale ◽  
Transport Model ◽  
Bayesian Calibration ◽  
Calibration And Validation ◽  
Sediment Transport Model

scholarly journals Representation of Water Management in Hydrological and Land Surface Models

2019 ◽  
Author(s):  
Fuad Yassin ◽  
Saman Razavi ◽  
Mohamed Elshamy ◽  
Bruce Davison ◽  
Gonzalo Sapriza-Azuri ◽  
...  
Keyword(s):  
Case Studies ◽  
Land Surface ◽  
Reservoir Operation ◽  
Large Scale ◽  
Model Parameters ◽  
Land Surface Models ◽  
Operation Model ◽  
Reservoir Model ◽  
Simulation Accuracy ◽  
Surface Models

Abstract. Reservoirs significantly affect flow regimes in watershed systems by changing the magnitude and timing of streamflows. Failure to represent these effects limits the performance of hydrological and land surface models (H-LSMs) in the many highly regulated basins across the globe and limits the applicability of such models to investigate the futures of watershed systems through scenario analysis (e.g., scenarios of climate, land use, or reservoir regulation changes). An adequate representation of reservoirs and their operation in an H-LSM is therefore essential for a realistic representation of the downstream flow regime. In this paper, we present a general parametric reservoir operation model based on piecewise linear relationships between reservoir storage, inflow, and release, to approximate actual reservoir operations. For the identification of the model parameters, we propose two strategies: (a) a generalized parameterization that requires a relatively limited amount of data; and (b) direct calibration via multi-objective optimization when more data on historical storage and release are available. We use data from 37 reservoir case studies located in several regions across the globe for developing and testing the model. We further build this reservoir operation model into the MESH modelling system, which is a large-scale H-LSM. Our results across the case studies show that the proposed reservoir model with both of the parameter identification strategies leads to improved simulation accuracy compared with the other widely used approaches for reservoir operation simulation. We further show the significance of enabling MESH with this reservoir model and discuss the interdependent effects of the simulation accuracy of natural processes and that of reservoir operation on the overall model performance. The reservoir operation model is generic and can be integrated into any H-LSM.

scholarly journals Geothermal reservoir model.

1990 ◽  
Vol 106 (12) ◽  
pp. 705-712
Author(s):  
Tadashi CHIDA ◽  
Yuichi NIIBORI
Keyword(s):  
Geothermal Reservoir ◽  
Reservoir Model
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