Multiphase flow modeling and energy extraction performance for supercritical geothermal systems

G Feng, Y Wang, T Xu, F Wang, Y Shi - Renewable energy, 2021 - Elsevier
Beyond the critical point of 373.946° C and 22.064 MPa, water presents in the supercritical
state, which is of great potential for geothermal resource development. In this work, an …

Deep geothermal energy in northern England: Insights from 3D finite difference temperature modelling

L Howell, CS Brown, SS Egan - Computers & Geosciences, 2021 - Elsevier
Many of the most widely used deep geothermal resource maps for the UK are produced by
contouring around sparsely distributed and often unreliable data points. We thus present a …

Bayesian calibration of a natural state geothermal reservoir model, Krafla, North Iceland

SW Scott, JP O'Sullivan, OJ Maclaren… - Water Resources …, 2022 - Wiley Online Library
The Krafla area in north Iceland hosts a high‐temperature geothermal system within a
volcanic caldera. Temperature measurements from boreholes drilled for power generation …

[PDF][PDF] Geologically Consistent Prior Parameter Distributions for Uncertainty Quantification of Geothermal Reservoirs

A de Beer, M Gravatt, T Renaud… - … , 48th Workshop on …, 2023 - pangea.stanford.edu
Reservoir modeling is a vital tool in the sustainable management of geothermal reservoirs. A
key component of the modeling process is model calibration, in which parameters, including …

[HTML][HTML] An integrated, mesh-independent geothermal modelling framework

J O'Sullivan, J Popineau, M Gravatt, T Renaud… - … Modelling & Software, 2023 - Elsevier
A new geothermal reservoir modelling framework is discussed. The framework has two main
objectives: first, all the geoscience and reservoir engineering data should be stored in a …

[PDF][PDF] Resource assessment: estimating the potential of a geothermal reservoir

K Dekkers, M Gravatt, OJ Maclaren… - … , 47th Workshop on …, 2022 - pangea.stanford.edu
Geothermal reservoirs are a valuable source of sustainable energy. The economic viability
of harnessing geothermal energy is dependent on the size of the energy resource. However …

[HTML][HTML] Automated parameter estimation for geothermal reservoir modeling using machine learning

A Suzuki, S Shi, T Sakai, K Fukui, S Onodera… - Renewable Energy, 2024 - Elsevier
In geothermal developments, characterizing hydrothermal flow is essential for predicting
future production and designing effective development strategies. Numerical simulation …

[HTML][HTML] Novel approach for modelling low enthalpy geothermal in deep sedimentary aquifers: a case study of 40 years of production data in the Dogger formation

T Renaud, J Popineau… - Geothermal …, 2024 - geothermal-energy-journal …
Geothermal energy in the Paris urban area has been exploited since the early 1970s. Deep
drilling in the Paris sedimentary basin has targeted hot brine in the Dogger formations from a …

Improved modelling of fluid production and reinjection in geothermal reservoirs

A Croucher, J O'Sullivan, M O'Sullivan - Computers & Geosciences, 2024 - Elsevier
Abstract Models of geothermal reservoirs used for power generation need to simulate the
production of multiphase fluid via a complex network of sources, as well as the reinjection of …

[PDF][PDF] Numerical modelling of tracer tests in the Ohaaki geothermal system

M van Driel, T Renaud, M Gravatt… - Proceedings of 45th …, 2023 - researchgate.net
Steam-Water Relative Permeability Page 1 Proceedings 45th New Zealand Geothermal
Workshop 15-17 November, 2023 Auckland, New Zealand ISSN 2703-4275 Numerical modelling …