Bibliographies thématiques / Geothermal resource

Littérature scientifique sur le sujet « Geothermal resource »

Auteur : Grafiati
Publié le 10 mars 2023
Mis à jour le 11 mars 2023

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Articles de revues sur le sujet "Geothermal resource"

1

Hermanto, Agus. « Modeling of geothermal energy policy and its implications on geothermal energy outcomes in Indonesia ». International Journal of Energy Sector Management 12, no 3 (3 septembre 2018) : 449–67. http://dx.doi.org/10.1108/ijesm-11-2017-0011.

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Purpose This study aims to improve the performance of geothermal energy. Therefore, this research requires a deep examination of the determinant factors that affect the performance of geothermal energy; the results of this study are expected to increase the outcomes that can be enjoyed by the people of Indonesia. Design/methodology/approach This research uses quantitative approach. Data are obtained via questionnaires. The population in this study is all stakeholders of the national geothermal energy policy throughout the region. The stakeholders in question are the Community Care for Energy and the Environment (MPEL), using a sample of 400 respondents. The variables used were human resource capacity (X1), political resource capacity (X2), economic resource capacity (X3), social resource capacity (X4), performance of geothermal energy policy (Y1) and geothermal energy policy outcomes (Y2). Data analysis used to solve hypothetical model built in this research is partial least square. Findings While human resource, political resource, economic resource and social resource capacities affect the performance of geothermal energy policy, those capacities directly affect the performance of geothermal energy policies. On the other hand, the results of the indirect effect test show that with the mediation of good geothermal energy policy, it will be seen that the effect of human resource capacity, political resource capacity, capacity of economic resources and the capacity of social resources to the utilization of geothermal energy. The utilization of geothermal energy cannot be directly felt by the community without the support of the formulation of geothermal energy policy or unless it is supported by high human resources, political resources, economic resource and social resource capacities. Originality/value No previous research has comprehensively examined the effect of human resource, political resource, economic resource and social resource capacities on geothermal energy policy and its implications for the outcomes of geothermal energy policy.
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2

Zhu, Huan Lai, Shang Ming Shi, Chun Bo He et Xiao Meng Fang. « Study on the Oilfield Produced Water Geothermal Resource Utilization ». Advanced Materials Research 524-527 (mai 2012) : 1284–88. http://dx.doi.org/10.4028/www.scientific.net/amr.524-527.1284.

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Oilfield produced water geothermal resource that is very easy overlooked or wasted in the exploitation of oilfield geothermal resources is a special form of sedimentary basin geothermal resource. Based on detailed analysis of oilfield produced water geothermal resource formation mechanism, its concept is firstly proposed. The paper expounds oilfield produces water geothermal resource characteristics from three aspects of resource potential, development cost and market prospect, proposes the idea of using heat and adverse water, discusses the feasibility of development water geothermal resource to service in oil production and circumjacent dweller by using heat pump technology and lays a solid foundation for its in-depth exploitation.
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3

Dai, Peng, Kongyou Wu, Gang Wang, Shengdong Wang, Yuntao Song, Zhenhai Zhang, Yuehan Shang, Sicong Zheng, Yinsheng Meng et Yimin She. « Geothermal Geological Characteristics and Genetic Model of the Shunping Area along Eastern Taihang Mountain ». Minerals 12, no 8 (22 juillet 2022) : 919. http://dx.doi.org/10.3390/min12080919.

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Knowledge about subsurface geological characteristics and a geothermic genetic model plays an essential role in geothermal exploration and resource assessment. To solve the problem in the Shunping area along eastern Taihang Mountain, geothermal geological conditions were analyzed by geophysical, geochemical, and geological methods, such as magnetotelluric, gas geochemistry, and structural analysis. The geothermic genetic model was developed by analyzing the characteristics of the heat source, water source, migration channel, reservoir, and cap rock of the geothermal geological conditions. Favorable deep thermal conduction conditions and sufficient atmospheric precipitation in the study area provide an original heat source and water supply for geothermal formation. The faults and unconformities of different scales have become effective channels for the migration of underground hot water. The thermal reservoir formed by marine carbonate rocks with karst fissure development provides suitable space for the storage of underground hot water. Although the Cenozoic strata have good thermal insulation and water insulation function, the thermal insulation and water insulation effect is not ideal because of the shallow coverage in the Shunping area and the damage by tectonic action, which affected thermal insulation and water insulation to some extent, restricting the practical preservation of underground heat energy in the Shunping area. The bedrock geothermal resource in the Shunping area is original from the combined action of multiple indexes of source, transport, reservoir, and cap. The geothermal geologic conditions of source and reservoir in the Shunping area are very similar to those in the Xiongan new area, and have obvious advantages in hydrodynamic conditions. Although limited by the cap’s effectiveness, the geothermal resources in the Shunping area can provide some clean energy support for local production and life, thereby satisfying economic development conditions and encouraging further geological exploration.
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Fauzi, A. « Geothermal resources and reserves in Indonesia : an updated revision ». Geothermal Energy Science 3, no 1 (17 février 2015) : 1–6. http://dx.doi.org/10.5194/gtes-3-1-2015.

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<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>
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Yang, Peng, Qiang Guo et Delong Zhang. « Survey on Geothermal Resources in Zhangjiakou Area ». E3S Web of Conferences 350 (2022) : 02007. http://dx.doi.org/10.1051/e3sconf/202235002007.

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The Zhangjiakou area is rich in geothermal resources, and many counties in the region have discovered low-temperature geothermal. Structurally, Huailai County, Zhangjiakou City is located at the intersection of Zhangjiakou-Penglai Fault Zone and Shanxi Fault Basin (or Fenwei Seismic Tectonic Zone), namely the Yanqing-Huailai Basin (Yanhuai Basin). A large amount of geothermal resource investigation and research works has preliminarily defined that the area has good geothermal resource accumulation conditions. From 2019 to 2020, the China Geological Survey has organized several investigation and research in the area for in-depth geothermal resource. As one method of the survey results verification, a parameter well for geothermal resource survey was deployed as ZK02 and completed at 3000m depth. The ZK02 well was completed at a depth of 3006.9m, drilling through the Quaternary, Neogene, and Jixian strata, and entered the Archean gneiss strata. The well successfully explored high-quality artesian heat storage in the Jixian strata, obtained deep geothermal geological data and physical data, revealed the regional stratigraphic sequence and geological structure characteristics, and provided a scientific basis for regional geothermal resource potential evaluation. Based on the engineering practice of ZK02 well, this paper systematically summarizes drilling technology and experience from well structure to drilling equipment, construction technology and key technology, analyses the complex conditions and countermeasures downhole, and provide reference for the follow-up regional geothermal resources investigation, research and development and.
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He, Yujiang, Guiling Wang, Wenjing Lin et Wei Zhang. « The Analysis of Heat Storage Capacity and the Formation Characteristics of Geothermal Resources in Sedimentary Basins —— A Case Study on Dunhuang Basin ». Open Fuels & ; Energy Science Journal 8, no 1 (31 mars 2015) : 73–76. http://dx.doi.org/10.2174/1876973x01508010073.

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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.
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Li, Qi Min. « The Cascaded Utilization of Geothermal Resources ». Applied Mechanics and Materials 178-181 (mai 2012) : 131–34. http://dx.doi.org/10.4028/www.scientific.net/amm.178-181.131.

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The geothermal resource is a clean complex resource, which can be changed into sustainable energy guided by the science theories. Demonstrating the heating engineering of a immigration village in Tianjin, the intention of this paper is to survey the sustainable utilization of geothermal resource meeting basic heating load, containing: (1) the dynamic prediction technologies of the production–reinjection of geothermal wells; (2) the design of inclined geothermal well; (3) the technologies of cascaded utilization of geothermal resource; and (4) the project appraisal. The results show geothermal resource is sustainable, and yield good economic returns and social benefits.
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Rybach, Ladislaus. « Geothermal Sustainability or Heat Mining ? » International Journal of Terrestrial Heat Flow and Applications 4, no 1 (22 mars 2021) : 15–25. http://dx.doi.org/10.31214/ijthfa.v4i1.61.

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Heat mining” is, in fact a complete deceptive misnomer. When a mineral deposit (e.g. copper) is mined and the ore has been taken out, it will be gone forever. Not so with geothermal resources: The heat and the fluid are coming back! Namely, the heat and fluid extraction create heat sinks and hydraulic minima; around these, strong temperature and pressure gradients develop. Along the gradients, natural inflow of heat and fluid arises to replenish the deficits. The inflow from the surroundings can be strong: around borehole heat exchangers, heat flow densities of several W/m2 result, whereas terrestrial heat flow amounts only to about 50 – 100 mW/m2. The regeneration of geothermal resources after production, in other words, extraction of fluid and/or heat) is a process that runs over different timescales, depending on the kind and size of the utilization system, the production rate, and the resource characteristics. The resource renewal depends directly on the heat/fluid backflow rate. Heat, respectively fluid production from geothermal resources can be accomplished with different withdrawal rates. Although forced production is more attractive financially (with quick payback), it can nevertheless degrade the resource permanently. The longevity of the resource (and thus the sustainability of production) can be ensured by moderate production rates. The sustainable geothermal production level depends on the utilization technology as well as on the local geologic conditions. The stipulation of the sustainable production level requires specific clarifications, especially by numerical modelling, based on long-term production strategies. In general, resource regeneration proceeds asymptotically: strong at the beginning and slowing down subsequently, reaching the original conditions only after infinite time. However, regeneration to 95 % can be achieved much earlier, e.g. within the lifetime of the extraction/production system. In other words, geothermal resources may under certain circumstances may be considered as having potential regrowth, like biomass. Concerning the requirements for such sustainable production, it is convenient to consider four resource types and utilization schemes. These may be treated by numerical model simulations that consider heat extraction by geothermal heat pumps, hydrothermal aquifer, used by a doublet system for space heating, high enthalpy two-phase reservoir, tapped to generate electricity, and enhanced Geothermal Systems (EGS).
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9

Rawat, Piyush, et J. P. Kesari. « Geothermal Energy Resource of North-western Himalayas ». International Journal of Advance Research and Innovation 6, no 3 (2018) : 112–15. http://dx.doi.org/10.51976/ijari.631817.

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Geothermal energy came into the picture after the oil crisis in the 1970s, with proper research and exploration took place in 1973. India's geothermal potential is entirely undeveloped with a power potential of 10,600 MWe. The capital cost of generating energy from geothermal sources in India is estimated to be US$1.6–2.0 million per MW, but the operating cost is minimal. This paper discusses geothermal heat source of different provinces of Jammu and Kashmir and Himachal Pradesh, with its direct use for production of electricity.
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GUO, Jianci, Peng ZHOU, Zhongyan WAN, Yueting XIAO et Lianhe ZHOU. « Current Situation and Suggestions for work of Geothermal Resources Development and Utilization in Tibe ». Chinese Earth Sciences Review 1, no 1 (28 septembre 2022) : 1–9. http://dx.doi.org/10.48014/cesr.20220908001.

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Geothermal energy is a kind of renewable and clean energy.It has unique and significant advantages in the energy family.The effective development and utilization of geothermal resources is of great significance to help achieve the strategic goal of “double carbon”.The Tibet Autonomous Region has abundant and high-quality geothermal resources,and is one of the few areas in China suitable for large-scale development of geothermal power generation,central heating and cascade comprehensive utilization.This paper systematically analyzes the characteristics of geothermal heat flow in Tibet,and concludes that Tibet has great prospects for finding high-temperature geothermal resources and is an important direction for geothermal exploration.It also elaborates on the distribution characteristics,resource potential and current development and utilization of geothermal resources in Tibet,and puts forward opinions and suggestions for promoting the high-quality development of geothermal resources in the region.
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Thèses sur le sujet "Geothermal resource"

1

Atmaca, Ilker. « Resource Assessment In Aydin-pamukoren Geothermal Field ». Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12611948/index.pdf.

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Reasons like increases in the price and demand of energy in the last years, growing interest and support in the renewable energy resources, development of social environmental consciousness, interest in using domestic resources, having legal regulations has promoted the interest in the electricity production from geothermal energy. For the effective and productive use of existing resources, important data of geothermal regions are obtained with well tests. Well tests are the studies which starts while the well is drilling, continues after the well completion during the process of operation planning with optimum performance suitable to geothermal source and presents continuation also in the operation stage as required for the dynamic structure of geothermal systems. In Aydin Kuyucak Pamukö
ren region three wells are drilled, achieved results are positive. At AP1 well only CO2 emission is present, no test is done for this well. With the tests for AP2 and AP3 wells temperature, pressure and production values are determined. By the results of these tests, it is determined that this region will be one of the important fields in the West Anatolian Region with current temperature and production rate. In this study, the geothermal energy recoverable from this region is calculated with volume method of geothermal resource assessment. Monte Carlo simulation technique is used with an add-in software program @RISK to Microsoft EXCEL. Electrical power capacity of Aydin-Pamukö
ren geothermal field is determined as 45.2 MW with 90 % probability. The most likely electrical power value was found to be 78.75 MW with a probability of 69 %. The number of wells required are 10 for a production capacity of 200 t/hr and 7 for a production capacity of 300 t/hr at each well head.
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Yudi, Rahayudin. « Clarification of geochemical properties and flow system of geothermal fluids around the Bandung basin for geothermal-resource assessment ». Kyoto University, 2020. http://hdl.handle.net/2433/253497.

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Patel, Iti Harshad. « Optimal Heat Extraction for Geothermal Energy Applications ». The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1462460957.

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Avsar, Ozgur. « Geochemical Evaluation And Conceptual Modeling Of Edremit Geothermal Field ». Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12612903/index.pdf.

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Edremit geothermal field with 42-62 °
C discharge temperatures is utilized for space heating. Alternation of permeable and impermeable units created two superimposed aquifers in the area: upper unconfined and lower confined. Water samples from 21 (hot, warm, cold) wells were taken in this study. 8 of these wells penetrate the deeper confined, while 13 penetrate the shallower unconfined aquifer. Geochemical analysis revealed Na+K&ndash
SO4 nature for the hot (>
40°
C), Ca&ndash
HCO3 nature for the cold (<
30°
C) and Ca&ndash
SO4 nature for the warm (30-40°
C) waters. &delta
18O-&delta
D compositions point to a meteoric origin for all waters, while 14C analyses suggest longer subsurface residence times for the hot, compared to the cold/warm waters. Chemical and isotopic compositions indicate that &ldquo
mixing&rdquo
and &ldquo
water-rock interaction&rdquo
are the possible subsurface processes. When silica and cation geothermometers are evaluated together with fluid mineral equilibria calculations, a 110°
C reservoir temperature is expected in the field. Saturation indices indicate potential silica scaling for waters at temperatures lower than discharge temperatures. Hydrogeology of the study area is highly affected by faults. The groundwater is percolated (down to 3 km depth) via deep seated step faults, heated at depth and ascends to surface at the low lands, especially through intersection of buried, mid-graben faults. During its ascent towards surface, geothermal water invades the two superimposed aquifers and mixing between hot and cold waters takes place in the aquifers. Resource assessment studies suggest a 3.45x1013 kJ accessible resource base and 9.1 MWt recoverable heat energy for Edremit geothermal field with 90% probability.
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Tian, Bingwei. « Geothermal resource assessment in shallow crust of Japan by three-dimensional temperature modeling using satellite imagery and well-logging dataset ». 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/199293.

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Grimaldi, David Andres. « Dissolved Gases and a Carbon Dioxide Balance from the San Vicente Geothermal Fieldin El Salvador, Central America ». Ohio University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1615276127141058.

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Arkan, Serkan. « Assessment Of Low Temperature Geothermal Resources ». Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/2/1122662/index.pdf.

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One of the most applicable methods of low-temperature geothermal resource assessment is volumetric method. While applying volumetric method, the values of uncertain parameters should be determined. An add-in software program to Microsoft EXCEL, @RISK, is used as a tool to define the uncertainties of the parameters in volumetric equation. In this study, Monte Carlo simulation technique is used as the probabilistic approach for the assessment of lowtemperature Balç
ova-Narlidere geothermal field. Although Balç
ova-Narlidere geothermal field is being utilized for several direct heat applications, there exists limited data for resource assessment calculations. Assessment studies using triangular and uniform distribution type functions for each parameter gave the mean values of recoverable heat energy of the field as 25.1 MWt and 27.6 MWt, respectively. As optimistic values (90%), those values were found as 43.6 MWt and 54.3 MWt. While calculating these numbers, a project life of 25 years with a load factor of 50% is used.
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Budak, Barış İlken Zafer. « Resevoir Simulation of Balçova Geothermal Field/ ». [s.l.] : [s.n.], 2004. http://library.iyte.edu.tr/tezler/master/makinamuh/T000483.doc.

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Kimball, Sarah. « Favourability map of British Columbia geothermal resources ». Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/29490.

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British Columbia’s internal demand for power and demand from export operations is increasing the need for power generation in the province. Moreover, the transition to a low carbon economy stipulates that power supply must be from renewable and low emission sources. Geothermal energy offers significant benefits to British Columbia which hosts Canada’s best geothermal resources associated with the Pacific Ring of Fire along the Coast Mountain Range. The objective of this work was to visualize and compare the spatial distribution of geothermal resources, transmission infrastructure, and power markets in BC. Using ArcGIS, these factors were combined into a map identifying the most favourable regions for geothermal development in the province. Multi-criteria evaluation of 10 evidence layers was completed in a knowledge-driven model. Publicly available data for temperature gradient, heat flow, volcanic centers, geothermometry, hot springs, geology, faults, and earthquake indicators comprised the resource factor map. Evidence layers in the market and infrastructure factor map included: distance to transmission, regional pricing, and population density. Evidence layers were assigned weights based on a judgment of their importance to geothermal favourability using the Analytical Hierarchy Process. The favourability map builds on the 1992 Geothermal Resources Map of British Columbia by incorporating new data, and applying spatial buffers based on studies from producing geothermal fields from around the world. The research has demonstrated how economic and infrastructure factors can be integrated into the evaluation of a region’s geothermal resources.
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Savage, Shannon Lea. « Mapping changes in Yellowstone's geothermal areas ». Thesis, Montana State University, 2009. http://etd.lib.montana.edu/etd/2009/savage/SavageS0809.pdf.

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Yellowstone National Park (YNP) contains the world's largest concentration of geothermal features, and is legally mandated to protect and monitor these natural features. Remote sensing is a component of the current geothermal monitoring plan. Landsat satellite data have a substantial historical archive and will be collected into the future, making it the only available thermal imagery for historical analysis and long-term monitoring of geothermal areas in the entirety of YNP. Landsat imagery from Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) sensors was explored as a tool for mapping geothermal heat flux and geothermally active areas within YNP and to develop a change analysis technique for scientists to utilize with additional Landsat data available from 1978 through the foreseeable future. Terrestrial emittance and estimates of geothermal heat flux were calculated for the entirety of YNP with two Landsat images from 2007 (TM) and 2002 (ETM+). Terrestrial emittance for fourteen summer dates from 1986 to 2007 was calculated for defined geothermal areas and utilized in a change analysis. Spatial and temporal change trajectories of terrestrial emittance were examined. Trajectories of locations with known change events were also examined. Relationships between the temporal clusters and spatial groupings and several change vectors (distance to geologic faults, distance to large water bodies, and distance to earthquake swarms) were explored. Finally, TM data from 2007 were used to classify geothermally active areas inside the defined geothermal areas as well as throughout YNP and a 30-km buffer around YNP. Estimations of geothermal heat flux were inaccurate due to inherent limitations of Landsat data combined with complexities arising from the effects of solar radiation and spatial and temporal variation of vegetation, microbes, steam outflows, and other features at each geothermal area. Terrestrial emittance, however, was estimated with acceptable results. The change analysis showed a relationship between absolute difference in terrestrial emittance and earthquake swarms, with 34% of the variation explained. Accuracies for the classifications of geothermally active areas were poor, but the method used for classification, random forest, could be a suitable method given higher resolution thermal imagery and better reference data.
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Livres sur le sujet "Geothermal resource"

1

Nguyen, Van Thanh. Geothermal energy : Resource and utilization. College Park : American Association of Physics Teachers, 1986.

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2

Kubacki, Joseph. Geothermal resource subzone designations in Hawaii. [Honolulu] : Dept. of Planning and Economic Development, 1986.

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3

Gupta, Harsh K. Geothermal energy : An alternative resource for the 21st century. Amsterdam, The Netherlands : Elsevier, 2007.

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Geothermal energy : An alternative resource for the 21st century. Amsterdam : Elsevier, 2005.

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5

Garside, Larry J. Nevada low-temperature geothermal resource assessment, 1994. [Reno, Nev.] : Nevada Bureau of Mines and Geology, 1994.

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Geothermal energy : The resource under our feet. Hauppauge, N.Y : Nova Science Publishers, 2009.

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7

Street, L. V. Geothermal resource analysis in Twin Falls County, Idaho. [Boise] : Idaho Dept. of Water Resources, 1987.

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8

Green, Bruce D. Geothermal-- the energy under our feet : Geothermal resource estimates for the United States. Golden, Colo : National Renewable Energy Laboratory, 2006.

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9

Glassley, William E. Geothermal resource assessment update : The Long Valley Region : task 4.2. Sacramento, California] : [California Energy Commission], 2012.

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10

Priisholm, Søren. Assessment of geothermal resources and reserves in Denmark : A contribution to the geothermal resource and reserve estimate of the European Community. Copenhagen : Geological Survey of Denmark, 1985.

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Chapitres de livres sur le sujet "Geothermal resource"

1

Finger, John T. « Geothermal Resources geothermal resource , Drilling Geothermal Resources Drilling for ». Dans Encyclopedia of Sustainability Science and Technology, 4380–414. New York, NY : Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_310.

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Finger, John T. « Geothermal Resources geothermal resource , Drilling Geothermal Resources Drilling for ». Dans Renewable Energy Systems, 966–1001. New York, NY : Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5820-3_310.

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Hunt, Trevor M. « Geothermal Resources geothermal resource , Environmental Aspects geothermal resource environmental aspects of ». Dans Encyclopedia of Sustainability Science and Technology, 4414–31. New York, NY : Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_838.

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Hunt, Trevor M. « Geothermal Resources geothermal resource , Environmental Aspects geothermal resource environmental aspects of ». Dans Renewable Energy Systems, 1002–19. New York, NY : Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5820-3_838.

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Bowen, Robert. « Geothermal Resource Assessment ». Dans Geothermal Resources, 168–245. Dordrecht : Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-1103-1_5.

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Watson, Arnold. « The Resource Development Plan ». Dans Geothermal Engineering, 273–95. New York, NY : Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8569-8_13.

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Lund, John W. « Geothermal Resources geothermal resource Worldwide, Direct Heat Utilization geothermal resource direct heat utilization of ». Dans Encyclopedia of Sustainability Science and Technology, 4353–79. New York, NY : Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_305.

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Lund, John W. « Geothermal Resources geothermal resource Worldwide, Direct Heat Utilization geothermal resource direct heat utilization of ». Dans Renewable Energy Systems, 939–65. New York, NY : Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5820-3_305.

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Das, Suman, et Arijit Kundu. « Geothermal Energy : An Effective Resource Toward Sustainability ». Dans Lecture Notes in Mechanical Engineering, 61–72. Singapore : Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5463-6_6.

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Luketina, Katherine, et Phoebe Parson. « New Zealand’s Public Participation in Geothermal Resource Development ». Dans Lecture Notes in Energy, 193–216. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78286-7_13.

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Actes de conférences sur le sujet "Geothermal resource"

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Kohl, Thomas. « Integrative Geothermal Resource Assessment ». Dans DGG/EAGE Workshop - Geophysics for Deep Thermal Energy. Netherlands : EAGE Publications BV, 2011. http://dx.doi.org/10.3997/2214-4609.201411924.

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Pinnoo, Seth Michael, Nicole Rita Hart-Wagoner, Buford Pollett, Robert Pilko et Jingyi Chen. « Advancing Geothermal Energy Exploration ». Dans Offshore Technology Conference. OTC, 2022. http://dx.doi.org/10.4043/32109-ms.

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Abstract Geothermal energy is a renewable energy source that is coming into more widespread use. Given the recent advancements in geothermal energy, it is an energy source that should be given serious consideration as new policies and regulations are set in place to reduce greenhouse gas emissions. While there are long-standing projects around the world utilizing geothermal resources, many places are still investigating geothermal resource potential, including several states within the United States. One state that has had limited geothermal exploration in recent years is Oklahoma. This paper compounds research efforts for Oklahoma geothermal resource evaluation and potential use and additionally provides information and background for potential sedimentary reservoirs that can be further evaluated for carbon sequestration pore space use. Three regions of Oklahoma were analyzed for geothermal resource potential: the Anadarko Basin, Arkoma Basin, and Osage County. Well logs from 105 wells were identified to analyze geothermal potential and subsurface temperature variations based on bottom hole temperatures (BHT). Results indicate that the Anadarko Basin has low potential for geothermal energy production, as temperatures &gt;100°C (212°F) are not reached until a depth of ~4,000 m (~13,000 ft). The Arkoma Basin wells reached temperatures of 100°C (212°F) at a depth of ~2,000 m (~6,500 ft), indicating potentially higher temperature resources at relatively shallower depths. The areas of higher temperatures appear to be dispersed, so more localized studies should be conducted in this region. The Osage County wells were only drilled to depths of &lt;~1,000 m (~3,300 ft), but some had BHT of &gt;40°C (~100°F) at these depths, indicating possible higher potential at depth. These results indicate that direct use of low-to-medium geothermal resources in Oklahoma can be exploitable further and that this preliminary investigation of geothermal resources in Oklahomashould be used as a basis for further exploration to target geothermal energy sources in the state.
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Pinnoo, Seth Michael, Nicole Rita Hart-Wagoner, Buford Pollett, Robert Pilko et Jingyi Chen. « Advancing Geothermal Energy Exploration ». Dans Offshore Technology Conference. OTC, 2022. http://dx.doi.org/10.4043/32109-ms.

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Abstract Geothermal energy is a renewable energy source that is coming into more widespread use. Given the recent advancements in geothermal energy, it is an energy source that should be given serious consideration as new policies and regulations are set in place to reduce greenhouse gas emissions. While there are long-standing projects around the world utilizing geothermal resources, many places are still investigating geothermal resource potential, including several states within the United States. One state that has had limited geothermal exploration in recent years is Oklahoma. This paper compounds research efforts for Oklahoma geothermal resource evaluation and potential use and additionally provides information and background for potential sedimentary reservoirs that can be further evaluated for carbon sequestration pore space use. Three regions of Oklahoma were analyzed for geothermal resource potential: the Anadarko Basin, Arkoma Basin, and Osage County. Well logs from 105 wells were identified to analyze geothermal potential and subsurface temperature variations based on bottom hole temperatures (BHT). Results indicate that the Anadarko Basin has low potential for geothermal energy production, as temperatures &gt;100°C (212°F) are not reached until a depth of ~4,000 m (~13,000 ft). The Arkoma Basin wells reached temperatures of 100°C (212°F) at a depth of ~2,000 m (~6,500 ft), indicating potentially higher temperature resources at relatively shallower depths. The areas of higher temperatures appear to be dispersed, so more localized studies should be conducted in this region. The Osage County wells were only drilled to depths of &lt;~1,000 m (~3,300 ft), but some had BHT of &gt;40°C (~100°F) at these depths, indicating possible higher potential at depth. These results indicate that direct use of low-to-medium geothermal resources in Oklahoma can be exploitable further and that this preliminary investigation of geothermal resources in Oklahomashould be used as a basis for further exploration to target geothermal energy sources in the state.
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Sharma, S. K. « Low Enthalpy Geothermal Resource Development in India ». Dans 8th Congress of the Balkan Geophysical Society. Netherlands : EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201414166.

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Yapparova, A., B. Lamy-Chappuis et T. Driesner. « Numerical Simulations of Supercritical Geothermal Resource Utilization ». Dans ECMOR 2022. European Association of Geoscientists & Engineers, 2022. http://dx.doi.org/10.3997/2214-4609.202244078.

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Yang, Fengjie, Han Zhen, Tao Jiang, Yong Qing Li et Cailan Gong. « Thermal infrared remote sensing of geothermal resource ». Dans SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, sous la direction de Cam Nguyen. SPIE, 1999. http://dx.doi.org/10.1117/12.365707.

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Jiang Guihua, Yang Zeyuan, Liu Fang et Mu Genxu. « Assessment of geothermal resources in Guanzhong basin ». Dans 2011 International Symposium on Water Resource and Environmental Protection (ISWREP). IEEE, 2011. http://dx.doi.org/10.1109/iswrep.2011.5893761.

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van Wees, J. D., et F. Neele. « European Resource Assessment for Geothermal Energy and CO2 Storage ». Dans Sustainable Earth Sciences 2013. Netherlands : EAGE Publications BV, 2013. http://dx.doi.org/10.3997/2214-4609.20131625.

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Mibei, G., E. Bali, H. Geirsson, G. Guðfinnsson, B. Harðarson et H. Franzson. « Updated geothermal model, power capacity estimates and financial model for resource development in Paka geothermal Field ». Dans First EAGE Workshop on Geothermal Energy and Hydro Power in Africa. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.2020625019.

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Shuqin Bai et G. Naren. « Synthesis of mesoporous silica from geothermal water recycling system ». Dans 2011 International Symposium on Water Resource and Environmental Protection (ISWREP). IEEE, 2011. http://dx.doi.org/10.1109/iswrep.2011.5893299.

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Rapports d'organisations sur le sujet "Geothermal resource"

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Mann, Mary, Dennis Kaspereit et Robert Kirkman. Akutan Geothermal : Resource Report. Office of Scientific and Technical Information (OSTI), mai 2019. http://dx.doi.org/10.2172/1596089.

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Clark, C. E., C. B. Harto et W. A. Troppe. Water Resource Assessment of Geothermal Resources and Water Use in Geopressured Geothermal Systems. Office of Scientific and Technical Information (OSTI), septembre 2011. http://dx.doi.org/10.2172/1219716.

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Clark, C. E., C. B. Harto et W. A. Troppe. Water resource assessment of geothermal resources and water use in geopressured geothermal systems. Office of Scientific and Technical Information (OSTI), mars 2013. http://dx.doi.org/10.2172/1068664.

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Witcher, J. C. Geothermal resource data base : Arizona. Office of Scientific and Technical Information (OSTI), septembre 1995. http://dx.doi.org/10.2172/204692.

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Chen, Z., S. E. Grasby, C. Deblonde et X. Liu. AI-enabled remote sensing data interpretation for geothermal resource evaluation as applied to the Mount Meager geothermal prospective area. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330008.

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The objective of this study is to search for features and indicators from the identified geothermal resource sweet spot in the south Mount Meager area that are applicable to other volcanic complexes in the Garibaldi Volcanic Belt. A Landsat 8 multi-spectral band dataset, for a total of 57 images ranging from visible through infrared to thermal infrared frequency channels and covering different years and seasons, were selected. Specific features that are indicative of high geothermal heat flux, fractured permeable zones, and groundwater circulation, the three key elements in exploring for geothermal resource, were extracted. The thermal infrared images from different seasons show occurrence of high temperature anomalies and their association with volcanic and intrusive bodies, and reveal the variation in location and intensity of the anomalies with time over four seasons, allowing inference of specific heat transform mechanisms. Automatically extracted linear features using AI/ML algorithms developed for computer vision from various frequency bands show various linear segment groups that are likely surface expression associated with local volcanic activities, regional deformation and slope failure. In conjunction with regional structural models and field observations, the anomalies and features from remotely sensed images were interpreted to provide new insights for improving our understanding of the Mount Meager geothermal system and its characteristics. After validation, the methods developed and indicators identified in this study can be applied to other volcanic complexes in the Garibaldi, or other volcanic belts for geothermal resource reconnaissance.
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Grasby, S. E., D. M. Allen, S. Bell, Z. Chen, G. Ferguson, A. Jessop, M. Kelman et al. Geothermal energy resource potential of Canada. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2011. http://dx.doi.org/10.4095/288745.

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Grasby, S. E., D. M. Allen, S. Bell, Z. Chen, G. Ferguson, A. Jessop, M. Kelman et al. Geothermal energy resource potential of Canada. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2012. http://dx.doi.org/10.4095/291488.

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Witcher, J. C. A geothermal resource data base : New Mexico. Office of Scientific and Technical Information (OSTI), juillet 1995. http://dx.doi.org/10.2172/204690.

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Gosnold, W. D. Jr. Geothermal resource assessment, South Dakota : Final report. Office of Scientific and Technical Information (OSTI), juillet 1987. http://dx.doi.org/10.2172/6123930.

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Poluianov, E. W., et F. P. Mancini. Geothermal resource evaluation of the Yuma area. Office of Scientific and Technical Information (OSTI), novembre 1985. http://dx.doi.org/10.2172/5765521.

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