scholarly journals Geothermal resources and reserves in Indonesia: an updated revision

2015 ◽  
Vol 3 (1) ◽  
pp. 1-6 ◽  
Author(s):  
A. Fauzi
Keyword(s):  
Power Production ◽  
Full Potential ◽  
Double Counting ◽  
Geothermal Resource ◽  
Geothermal Resources ◽  
Geothermal Potential ◽  
Recent Estimate ◽  
Base Reference ◽  
Reserve Estimates ◽  
Resource Category

<p><strong>Abstract.</strong> More than 300 high- to low-enthalpy geothermal sources have been identified throughout Indonesia. From the early 1980s until the late 1990s, the geothermal potential for power production in Indonesia was estimated to be about 20 000 MWe. The most recent estimate exceeds 29 000 MWe derived from the 300 sites (Geological Agency, December 2013). <br><br> This resource estimate has been obtained by adding all of the estimated geothermal potential resources and reserves classified as "speculative", "hypothetical", "possible", "probable", and "proven" from all sites where such information is available. However, this approach to estimating the geothermal potential is flawed because it includes double counting of some reserve estimates as resource estimates, thus giving an inflated figure for the total national geothermal potential. <br><br> This paper describes an updated revision of the geothermal resource estimate in Indonesia using a more realistic methodology. The methodology proposes that the preliminary "Speculative Resource" category should cover the full potential of a geothermal area and form the base reference figure for the resource of the area. Further investigation of this resource may improve the level of confidence of the category of reserves but will not necessarily increase the figure of the "preliminary resource estimate" as a whole, unless the result of the investigation is higher. A previous paper (Fauzi, 2013a, b) redefined and revised the geothermal resource estimate for Indonesia. The methodology, adopted from Fauzi (2013a, b), will be fully described in this paper. As a result of using the revised methodology, the potential geothermal resources and reserves for Indonesia are estimated to be about 24 000 MWe, some 5000 MWe less than the 2013 national estimate.</p>

scholarly journals Assessing the Geothermal Resource Potential of an Active Oil Field by Integrating a 3D Geological Model With the Hydro-Thermal Coupled Simulation

2022 ◽  
Vol 9 ◽  
Author(s):  
Yonghui Huang ◽  
Yuanzhi Cheng ◽  
Lu Ren ◽  
Fei Tian ◽  
Sheng Pan ◽  
...  
Keyword(s):  
Numerical Model ◽  
Oil Field ◽  
Natural State ◽  
Geological Model ◽  
Geothermal Resource ◽  
Geothermal Resources ◽  
New Town ◽  
3D Geological Model ◽  
Coupled Numerical Model ◽  
Geothermal Potential

Assessment of available geothermal resources in the deep oil field is important to the synergy exploitation of oil and geothermal resources. A revised volumetric approach is proposed in this work for evaluating deep geothermal potential in an active oil field by integrating a 3D geological model into a hydrothermal (HT)-coupled numerical model. Based on the analysis of the geological data and geothermal conditions, a 3D geological model is established with respect to the study area, which is discretized into grids or elements represented in the geological model. An HT-coupled numerical model was applied based on the static geological model to approximate the natural-state model of the geothermal reservoir, where the thermal distribution information can be extracted. Then the geothermal resource in each small grid element is calculated using a volumetric method, and the overall geothermal resource of the reservoirs can be obtained by making an integration over each element of the geological model. A further parametric study is carried out to investigate the influence of oil and gas saturations on the overall heat resources. The 3D geological model can provide detailed information on the reservoir volume, while the HT natural-state numerical model addressed the temperature distribution in the reservoir by taking into account complex geological structures and contrast heterogeneity. Therefore, integrating the 3D geological modeling and HT numerical model into the geothermal resource assessment improved its accuracy and helped to identify the distribution map of the available geothermal resources, which indicate optimal locations for further development and utilization of the geothermal resources. The Caofeidian new town Jidong oil field serves as an example to depict the calculation workflow. The simulation results demonstrate in the Caofeidian new town geothermal reservoir that the total amount of geothermal resources, using the proposed calculation method, is found to be 1.23e+18 J, and the total geothermal fluid volume is 8.97e+8 m3. Moreover, this approach clearly identifies the regions with the highest potential for geothermal resources. We believe this approach provides an alternative method for geothermal potential assessment in oil fields, which can be also applied globally.

scholarly journals Geothermal resource exploration by using Numerical simulation and comprehensive geophysical method

2021 ◽  
Author(s):  
Yang Yang ◽  
Bin Xiong ◽  
Sanxi Peng ◽  
Ibrar Iqbal ◽  
Tianyu Zhang
Keyword(s):  
Detection Efficiency ◽  
Energy Resource ◽  
Clean Energy ◽  
Shanxi Province ◽  
Geothermal System ◽  
Exploratory Research ◽  
Geothermal Resource ◽  
Geothermal Resources ◽  
Transient Electromagnetic ◽  
Resistivity Model

Abstract Geothermal energy is an important renewable clean energy resource with high development and usage potential. Geothermal resources, on the other hand, are buried deep below, and mining hazards are significant. Geophysical investigation is frequently required to determine the depth and location of geothermal resources. The Transient Electromagnetic Method (TEM) and the Controlled Source Audio Frequency Magnetotellurics (CSAMT) have the highest detection efficiency and accuracy of all electromagnetic exploration methods. This article initially explains the algorithm theory of the finite difference technique before establishing a simplified geothermal system resistivity model. Established on the simplified resistivity model, a simulation analysis of the ability of CSAMT and TEM to distinguish target body faults at different resistivities and dip angles was performed, and the effectiveness and difference of the two methods in detecting typical geothermal resource targets was verified. A complete exploratory research of CSAMT and TEM was conducted in Huairen County, Shuozhou City, Shanxi Province, China, based on theoretical analysis. Both approaches can reflect the geoelectric structure of the survey region, demonstrating the efficacy of the two methods in detecting genuine geothermal resources.

scholarly journals Detection of Geothermal Potential Zones Using Remote Sensing Techniques

2019 ◽  
Vol 11 (20) ◽  
pp. 2403 ◽  
Author(s):  
Lago González ◽  
Rodríguez-Gonzálvez
Keyword(s):  
Remote Sensing ◽  
Fossil Fuels ◽  
Energy Transport ◽  
Thermal Emission ◽  
Renewable Energy Sources ◽  
Numerical Data ◽  
Geothermal Resources ◽  
Geothermal Potential ◽  
Geological Information ◽  
Sentinel 2A

The transition towards a new sustainable energy model—replacing fossil fuels with renewable sources—presents a multidisciplinary challenge. One of the major decarbonization issues is the question of to optimize energy transport networks for renewable energy sources. Within the range of renewable energies, the location and evaluation of geothermal energy is associated with costly processes, such as drilling, which limit its use. Therefore, the present research is aimed at applying different geomatic techniques for the detection of geothermal resources. The workflow is based on free/open access geospatial data. More specifically, remote sensing information (Sentinel-2A and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER)), geological information, distribution of gravimetric anomalies, and geographic information systems have been used to detect areas of shallow geothermal potential in the northwest of the province of Orense, Spain. Due to the variety of parameters involved, and the complexity of the classification, a random forest classifier was employed, since this algorithm works well with large sets of data and can be used with categorical and numerical data. The results obtained allowed identifying a susceptible area to be operated on with a geothermal potential of 80 W·m−1 or higher.

Geothermal resources characterization of two areas in southern Tuscany

2020 ◽  
Author(s):  
Eugenio Trumpy ◽  
Gianluca Gola ◽  
Alessandro Santilano ◽  
Adele Manzella ◽  
Matteo Brambilla ◽  
...  
Keyword(s):  
Dynamic Models ◽  
Fluid Dynamic ◽  
Dynamic Modelling ◽  
Geothermal Field ◽  
Joint Analysis ◽  
Geothermal Resources ◽  
Flow Measurements ◽  
North East ◽  
Geothermal Potential ◽  
Technical Potential

&lt;p&gt;Based on a joint analysis of geothermal indicators (e.g. temperature map at different depth, surface heat flux) and practical features (e.g. restricted areas, existing research lease), two promising areas in southern Tuscany were identified to perform a more detailed geothermal resource characterization. An area is located on the north-east of the Larderello-Travale geothermal field, and the other one is located on the west of the Mt. Amiata geothermal field.&lt;/p&gt;&lt;p&gt;A quantitative geothermal resources assessment was performed in the aforementioned areas of Tuscany by solving numerical thermo-fluid dynamic models and by computing the geothermal potential using the &amp;#8216;ThermoGIS&amp;#8217; software, as further developed for the Italian case (Trumpy et al., 2016).&lt;/p&gt;&lt;p&gt;First of all, geological and geophysical data required for geological and thermo-fluid dynamic modelling were collected and organised. The geological data were used to build a 3D geological model of the two areas of interest suitable for numerical simulations. Static temperature data gathered from the Italian National Geothermal Database together with site-specific heat flow measurements were used to calibrate the simulated steady state temperature distribution.&lt;/p&gt;&lt;p&gt;The geothermal potential computed by integrating geological, thermal and petro-physical information implementing the volume method used in ThermoGIS provided estimates of the heat in place and the geothermal technical potential maps. The resulting technical potential in the area close to Larderello &amp;#8211;Travale is 330 MW&lt;sub&gt;e&lt;/sub&gt; and in the Mt. Amiata sector is 50MW&lt;sub&gt;e&lt;/sub&gt;.&lt;/p&gt;&lt;p&gt;References&lt;/p&gt;&lt;p&gt;Trumpy E., Botteghi S., Caiozzi F., Donato A., Gola G., Montanari D., Pluymaekers M., Santilano A., Van Wees, J.D., Manzella A. Geothermal potential assessment for a low carbon strategy: a new systematic approach applied in southern Italy. Energy 103, 167-181, 2016.&lt;/p&gt;

scholarly journals Geothermal potential, chemical characteristic and utilization of groundwater in Serbia

2021 ◽  
Author(s):  
Tanja Petrović Pantić ◽  
Katarina Atanasković Samolov ◽  
Jana Štrbački ◽  
Milan Tomić
Keyword(s):  
Geothermal Energy ◽  
Thermal Water ◽  
Pannonian Basin ◽  
Local Population ◽  
Hydrochemical Facies ◽  
Energy Utilization ◽  
Thermal Waters ◽  
Groundwater Temperature ◽  
Geothermal Resources ◽  
Geothermal Potential

Abstract In order to collect and unify data about all geothermal resources in Serbia, a database is formed. The database allows us to perceive the geothermal resources of Serbia and their potential for utilization. Based on the data available in the geothermal database, the estimated temperatures of reservoirs, heat power, and geothermal energy utilization were calculated. The database contains 293 objects (springs, boreholes) registered at 160 locations with groundwater temperature in the range between 20°C and 111°C. The maximum expected temperature of the reservoir is 146°C (according to the SiO2 geothermometer). Some thermal water is cooled while mixed with cold, shallow water. Geothermal resources are mostly used for balneology and recreation, and less for heating, water supply, bottling, fish and animal farms, agriculture, and technical water. 26% of all geothermal resources is used by the local population or has not been used at all. The annual utilization of geothermal energy for direct heat is 1507 TJ/yr, and the estimated capacity of geothermal energy in Serbia is 111 MWt. The results of analytical work were presented in the form of maps with a geological and hydrogeological background. Thermal waters are mostly registrated in the area of Tertiary magmatism. The three geothermal potential areas are identified: Pannonian basin-Vojvodina Province, Mačva-Srem and area from Jošanička Banja to Vranjska Banja (southern Serbia). Based on chemical analyses, four hydrochemical facies are distinguished. Thermal water mainly belongs to NaHCO3 or CaMgHCO3 hydrochemical facies, usually depending on the primary aquifer: karst, karst-fissured, intergranular or fissured.

Using GIS tools for the Play Fairway Analysis in geothermal exploration

2020 ◽  
Author(s):  
Francisco Airam Morales González ◽  
Luca D'Auria ◽  
Fátima Rodríguez ◽  
Eleazar Padrón ◽  
Nemesio Pérez
Keyword(s):  
Geographical Information Systems ◽  
Gravity Data ◽  
Probabilistic Method ◽  
Geographical Information ◽  
Geochemical Data ◽  
Geothermal Resource ◽  
Tectonic Structures ◽  
Geothermal Resources ◽  
Geothermal Exploration ◽  
High Enthalpy

&lt;p&gt;The Canary Islands archipelago, due to their recent volcanism, are the only Spanish territory with high enthalpy geothermal resources. However, there is no evidence in the islands of endogenous fluids manifestations with the exception of the Teide fumaroles, in Tenerife. Although some efforts have been made to investigate the geothermal resources from the 1970s to the 1990s and later during the past decade, the final goal has not yet been achieved, which is to locate and define the size, shape and structure of the geothermal resource, and determine their characteristics and capacity to produce energy (Rodr&amp;#237;guez et al. 2015). For this reason it is extremely important to use new tools that allow a better understanding of the geothermal resource. In this work we describe a probabilistic evaluation of the geothermal potential of the island of Tenerife using Geographical Information Systems (GIS) through a collection of geological, geophysical and geochemical data.&lt;/p&gt;&lt;p&gt;The Play Fairway Analysis (PFA) was used, as illustrated by Lautze et al. (2017) in a similar study for an environment having similar characteristics: the Hawaiian Archipelago. &amp;#160;The PFA approach consists of joining information coming from multidisciplinary datasets within a probabilistic framework. Basically, the probabilities related to the presence of heat (H), fluids (F) and permeability (P) are computed quantitatively from the starting datasets and combined to obtain the probability of presence of geothermal resources and its confidence.&lt;/p&gt;&lt;p&gt;In the present study this probabilistic method have been implemented using GIS geoprocessing tools and raster image analysis using geological (Holocene vents, volcano-tectonic structures), geophysical (seismicity, resistivity data, gravity data) and geochemical (hydrogeochemistry, soil gas emission and geochemistry, etc&amp;#8230;).&lt;/p&gt;&lt;p&gt;The main result of this work is a cartographic set that allow showing the areas of Tenerife with the greatest potential for geothermal exploration. Furthermore, using the statistical framework of PFA analysis, we obtained also confidence intervals on the retrieved probability maps.&lt;/p&gt;

Shallow Geothermal Resources Assessment of the Brussels Region: Exploration, 3D Geological Model, Geothermal Potential Mapping and Challenges Related

2020 ◽  
Author(s):  
Estelle Petitclerc ◽  
Pierre Gerard ◽  
Xavier Devleeschouwer ◽  
Bertrand François ◽  
Marijke Huysmans ◽  
...  
Keyword(s):  
Geothermal Energy ◽  
Public Awareness ◽  
Design Tool ◽  
Geological Model ◽  
Geothermal Systems ◽  
Geothermal Resources ◽  
Development Fund ◽  
3D Geological Model ◽  
Geothermal Potential ◽  
Geothermal Parameters

&lt;p&gt;In 2015, a legal framework was implemented in the Brussels-Capital Region (BCR) where passive construction has been mandatory with an obliged heat demand not exceeding 15 kW&lt;sub&gt;h&lt;/sub&gt;/m&lt;sup&gt;2&lt;/sup&gt;. Since 2015, the interest in installing shallow geothermal systems has significantly increased. However, limited knowledge of ground conditions, lack of public awareness and the urban nature of the Brussels area restrict the development of shallow geothermal systems despite the high potential of this technique in the RBC. The BRUGEO project aims to facilitate accessibility and the efficient use of shallow geothermal energy in the BCR specifically for commercial and residential sectors. Thanks to Brussels ERDF (European Regional Development Fund) funding a consortium of all major actors in geothermal energy were brought together (ULB, Brussels Environment, BBRI, VUB, and GSB). During the &amp;#160;four years project (2016-2020), specific actions promoting the geothermal potential were addressed: 1- Collect existing data related to the knowledge on Brussels subsurface (geological, hydrogeological, and geothermal data) and consolidate them in a single database; 2- Conduct new laboratory and field tests in order to complete geological analyses and to assess geothermal parameters; 3- Map the geothermal potential for open and closed systems. The Geological Survey of Belgium (GSB) has created, during the last 7 years, a GIS based 2D-3D geological model of the BCR underground. 9266 drillings and geotechnical data collected in and around the BCR have been used to create the Brustrati3D model generating interpolated top and base surfaces for 19 geological layers representing the whole lithostratigraphic sequence from Quaternary to the Paleozoic basement. An important exploration phase was included in the first two years of the BRUGEO project to acquire new data improving the geological and hydrogeological knowledge of BCR. Several in-situ parameters are measured by e.g. new piezometers implementation and monitoring, pumping tests, cores sampling, logging and enhanced thermal response tests (eTRT). These measurements are implemented as far as possible on future private projects by a win-win approach. The idea is to be grafted on existing projects to increase the data acquisition and to avoid purely exploratory drilling that are expensive and not used later for any geothermal exploitation. So far, the BRUGEO consortium has also conducted three exploration drillings to assess the lithology, the structure, the groundwater flows, and geophysical properties of the Cambrian basement (Brabant Massif). In parallel, laboratory measurements are achieved to characterize the determinant thermal parameters of the Brussels underground. From all the subsurface data collected, the BRUGEO consortium aims at mapping the geothermal potential of the BCR. This web-based mapping, accessible to design offices, installers of geothermal systems, citizens, public and private stakeholders or regional and municipalities administrations, will make it easier to foster the use of geothermal energy. The web portal will consist of an interactive decision support and a design tool based on maps built thanks to the geoscientific 3D models and geothermal parameters assessed during BRUGEO. The results are expected to be published online in March 2020.&lt;/p&gt;

Reconnaissance geophysics of a known geothermal resource area, Weiser, Idaho and Vale, Oregon

Geophysics ◽  
1980 ◽  
Vol 45 (2) ◽  
pp. 312-322 ◽  
Author(s):  
C. L. Long ◽  
H. E. Kaufmann
Keyword(s):  
Apparent Resistivity ◽  
Hot Springs ◽  
High Resistivity ◽  
Radio Sources ◽  
Geothermal Resource ◽  
Geothermal Potential ◽  
Em Field ◽  
Band Limited ◽  
River Plain ◽  
Made In

Audio‐magnetotelluric (AMT) and telluric current soundings were made in a study of the geothermal potential of the area between Weiser, Idaho and Vale, Oregon, during the spring and fall of 1974. The electrical surveys covered an area on the western edge of the Snake River plain of approximately [Formula: see text] with 89 AMT and 31 telluric current stations at approximately 6-km spacings. The AMT method used the natural electromagnetic (EM) field from 7.5 Hz to 6.7 kHz (10 frequencies) with two VLF radio sources at 10.2 and 18.6 kHz, while the telluric method utilized geomagnetic micropulsations, band‐limited from 0.02 to 0.1 Hz. Maps were compiled using both methods to outline major high‐ and low‐resistivity features. Major high‐resistivity zones appear to trend northwest on the AMT apparent resistivity maps. These zones parallel structural trends between Vale and Weiser. The lowest apparent resistivities are associated with the known geothermal hot springs in the Vale and Weiser areas. The telluric ratio map shows lowest values at the eastern side of the area, and a low trend extending through Vale and to the northeast.

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