Targeting for Geothermal Energy Production – Reservoir Characterization and Geothermal Potential of the Delft Sandstone

2010 ◽  
Author(s):  
R. M. Groenenberg ◽  
D. T. Gilding ◽  
M. E. Donselaar ◽  
G. I. A. Drost ◽  
M. H. A. Korenromp ◽  
...  
Keyword(s):  
Geothermal Energy ◽  
Energy Production ◽  
Reservoir Characterization ◽  
Geothermal Potential

Repurposing End-of-Life Wells for Geothermal Energy Production: An Evaluation of Mississippi Wells

2021 ◽  
Author(s):  
Maryam Mirabolghasemi ◽  
Mohammad Heshmati ◽  
Dakota Thorn ◽  
Blake Shelton ◽  
Fatou Diop
Keyword(s):  
End Of Life ◽  
Geothermal Energy ◽  
Energy Production ◽  
The State ◽  
Circulation Rate ◽  
Working Fluid ◽  
Small Scale ◽  
Potential Candidate ◽  
Geothermal Potential ◽  
Well Depth

Abstract End-of-life production or injection wells may be converted into wellbore heat exchangers for geothermal energy extraction. Whether this conversion is technically and economically feasible depends on several factors such as geothermal potential of the formation, well depth, and working fluid circulation parameters. Here we present a case study where we analyze these parameters and determine their optimum operational brackets. We focus on repurposing active wells that are located in regions with high geothermal potential in the state of Mississippi. Geothermal gradient map of the state of Mississippi was used to select potential candidate wells. Well logs of these candidate wells were used to find formation temperature and other properties such as well diameter and depth. Next, we conducted heat transfer calculations to estimate the temperature rise of various working fluids as a result of circulating inside these wellbores. We ran sensitivity analyses to determine the effect of circulation rate, tubing insulation, and time. Finally, we estimated the power production potential of each well. Our results indicate that geothermal energy production through repurposed end-of-life wells may be viable depending on well depth and geothermal potential of the region. With insulated tubing, the thermal energy delivered by a number of candidate wells is sufficient for a small-scale binary power plant with organic Rankine cycle.

Data Echoes: Sound, Evidence, and Acoustic Methods in Energy Landscapes

2021 ◽  
pp. 016224392110345
Author(s):  
James Maguire
Keyword(s):  
Geothermal Energy ◽  
Energy Production ◽  
Model Building ◽  
Acoustic Method ◽  
Time Frame ◽  
Energy Landscapes ◽  
Geological Evidence ◽  
Temporal Form ◽  
Acoustic Methods ◽  
Intractable Problem

This paper explores an informal acoustic method developed by a group of industrial geologists working in geothermal energy landscapes in the southwest of Iceland. Through a series of ethnographic descriptions, this paper renders the work these geologists carry out in sonic terms, emphasizing how they use their bodies as sonic detectors in the production of geological evidence. Sound, the paper argues, is what allows geologists to make the intractable problem of volcanic cooling doable. It does this by differentiating two forms of evidence. Primary evidence, which ends up as data in geological reports, and secondary sonic evidence, which is what establishes that this primary evidence is, in fact, evidence. The paper introduces the concept data echoes as a way to think about how sound articulates between these evidential protocols. As echo, sound works as an outside, which, while remaining external to official protocols of knowledge production, nevertheless helps to constitute distinctions that are meaningful to the production of those categories. As data echoes through the various moments of data capture, analysis, and model building, sound’s temporal form helps to predict the time frame of volcanic cooling, as it affects both the immediate energy production scenarios and the long durée of volcanic time.

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>

scholarly journals Techno-Economic Simulation of a Geothermal Energy Generation System at the Machin Volcano in Colombia

2020 ◽  
Author(s):  
Hernando Enrique Rodriguez Pantano ◽  
Valentina Betancourt ◽  
Juan S. Solís-Chaves ◽  
C. M. Rocha-Osorio
Keyword(s):  
Geothermal Energy ◽  
Energy Generation ◽  
Generation System ◽  
Energy Potential ◽  
Public And Private ◽  
Mountain Ranges ◽  
Cost Of Energy ◽  
Geothermal Potential ◽  
Economic Simulation ◽  
Private Investors

Colombian geothermal potential for power generation is interesting due to the presence of the three Andean mountain ranges and the existence of active volcanoes in junction with springs and underground reservoirs with the consequent closeness of available hydrothermal water-wells. The Machin volcano is a small mountain placed in the middle of the country, that has a considerable geothermal potential with wells in a temperature range of 160 to 260C. For that reason, a techno-economic simulation for a Geothermal Energy Generation System is proposed in this paper, using for that the System Advisor Model software. The purpose of this research is to present a more encouraging picture for public and private investors interested in exploiting this energy potential in Colombia. Simulation results include technical and economic aspects as annual and monthly energy production, geothermal resource monthly average temperature, and the Time Of Delivery Factors are also considered. Some tables with system configuration, plant and pump costs, Capacity Factor, and real and nominal Levelized Cost of Energy are also shown.

Geothermal energy production utilizing abandoned oil and gas wells

2012 ◽  
Vol 41 ◽  
pp. 80-85 ◽  
Author(s):  
Xianbiao Bu ◽  
Weibin Ma ◽  
Huashan Li
Keyword(s):  
Geothermal Energy ◽  
Energy Production ◽  
Oil And Gas ◽  
Gas Wells ◽  
Oil And Gas Wells
Sign in / Sign up

Export Citation Format

Share Document