Accident risk assessment for deep geothermal energy systems

2014 ◽  
pp. 1559-1566
Keyword(s):  
Risk Assessment ◽  
Geothermal Energy ◽  
Energy Systems ◽  
Accident Risk ◽  
Deep Geothermal Energy

scholarly journals Are Engineered Geothermal Energy Systems a Viable Solution for Arctic Off-Grid Communities? A Techno-Economic Study

Water ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 3526
Author(s):  
Mafalda M. Miranda ◽  
Jasmin Raymond ◽  
Jonathan Willis-Richards ◽  
Chrystel Dezayes
Keyword(s):  
Geothermal Energy ◽  
Energy Systems ◽  
Energy Transition ◽  
Energy System ◽  
Water Losses ◽  
Cost Of Energy ◽  
Energy Needs ◽  
Viable Solution ◽  
Flow Impedance ◽  
Deep Geothermal Energy

Deep geothermal energy sources harvested by circulating fluids in engineered geothermal energy systems can be a solution for diesel-based northern Canadian communities. However, poor knowledge of relevant geology and thermo-hydro-mechanical data introduces significant uncertainty in numerical simulations. Here, a first-order assessment was undertaken following a “what-if” approach to help design an engineered geothermal energy system for each of the uncertain scenarios. Each possibility meets the thermal energy needs of the community, keeping the water losses, the reservoir flow impedance and the thermal drawdown within predefined targets. Additionally, the levelized cost of energy was evaluated using the Monte Carlo method to deal with the uncertainty of the inputs and assess their influence on the output response. Hydraulically stimulated geothermal reservoirs of potential commercial interest were simulated in this work. In fact, the probability of providing heating energy at a lower cost than the business-as-usual scenario with oil furnaces ranges between 8 and 92%. Although the results of this work are speculative and subject to uncertainty, geothermal energy seems a potentially viable alternative solution to help in the energy transition of remote northern communities.

Integrated accident risk assessment in mines

2019 ◽  
Vol 11 ◽  
pp. 180-192 ◽  
Author(s):  
M.V. Pelipenko ◽  
◽  
S.V. Balovtsev ◽  
I.I. Aynbinder ◽  
◽  
...  
Keyword(s):  
Risk Assessment ◽  
Accident Risk

NMR contribution in sub-horizontal well for porosity-permeability heterogeneity characterization in limestones: implications for 3D reservoir prediction and flow simulation in a world class geothermal aquifer

2021 ◽  
Author(s):  
Maxime Catinat ◽  
Benjamin Brigaud ◽  
Marc Fleury ◽  
Miklos Antics ◽  
Pierre Ungemach ◽  
...  
Keyword(s):  
Geothermal Energy ◽  
Horizontal Well ◽  
Gamma Ray ◽  
Flow Simulation ◽  
High Density ◽  
Reservoir Prediction ◽  
Nmr Data ◽  
Geothermal Potential ◽  
Facies Associations ◽  
Deep Geothermal Energy

<p>With around 50 heating networks today operating, the aera around Paris is the European region which concentrates the most heating network production units in terms of deep geothermal energy. In France, the energy-climate strategy plans to produce 6.4TWh in 2023, compared to 1.5TWh produced in 2016. Despite an exceptional geothermal potential, the current average development rate of 70MWh/year will not allow this objective to be achieved, it would be necessary to reach a rate of 6 to 10 times higher. The optimization of the use of deep geothermal energy is a major challenge for France, and in Ile-de-France, which has a population of nearly 12 million inhabitants. This project aims to reconstruct and simulate heat flows in the Paris Basin using an innovative methodology (1) to characterize, predict and model the properties of reservoirs (facies, porosity, permeability) and (2) simulate future circulations and predict the performance at a given location (sedimentary basin) on its geothermal potential. This study focuses on a high density area of well infrastructures around Cachan, (8 doublets, 1 triplet in 56 km<sup>2</sup>). A new sub-horizontal doublet concept has been recently (2017) drilled at Cachan to enhance heat exchange in medium to low permeability formations. Nuclear Magnetic Resonance (NMR T2) logs have been recorded in the sub-horizontal well (GCAH2) providing information on pore size distribution and permeability. We integrated all logging data (gamma ray, density, resistivity, sonic, NRM T2) of the 19 wells in the area and 120 thin section observations from cuttings to derive a combined electrofacies-sedimentary facies description. A total of 10 facies is grouped into 5 facies associations coded in all the 19 wells according to depths and 10 3rd order stratigraphic sequences are recognized. The cell size of the 3D grid was set to 50 m x 50 m for the XY dimensions. The Z-size depends on the thickness of the sub-zones, averaging 5 m. The resulting 3D grid is composed of a total of nearly 8.10<sup>5</sup>cells. After upscaled, facies and stratigraphic surfaces are used to create a reliable model using the “Truncated Gaussian With Trends” algorithm. The petrophysical distribution “Gaussian Random Function Simulation” is used to populate the entire grid with properties, included 2000 NMR data, considering each facies independently. The best reservoir is mainly located in the shoal deposits oolitic grainstones with average porosity of 12.5% and permeability of 100 mD. Finally, hydrodynamic and thermal simulations have been performed using Pumaflow to give information on the potential risk of interference between the doublets in the area and advices are given in the well trajectory to optimize the connectivity and the lifetime of the system. NMR data, especially permeability, allow to greater improve the simulations, defining time probabilities of thermal breakthrough in an area of high density wells.</p>

Deep geothermal energy wells based on artificial large area fractures

2016 ◽  
pp. 53-56
Author(s):  
J Frankovská ◽  
M Ondrášik ◽  
Ch Källberg
Keyword(s):  
Geothermal Energy ◽  
Large Area ◽  
Deep Geothermal Energy

5.18 Energy Management in Geothermal Energy Systems

2018 ◽  
pp. 742-777 ◽  
Author(s):  
Francesco Calise ◽  
Adriano Macaluso ◽  
Antonio Piacentino ◽  
Laura Vanoli
Keyword(s):  
Energy Management ◽  
Geothermal Energy ◽  
Energy Systems
Sign in / Sign up

Export Citation Format

Share Document