Petrological, Geochronological and Geochemical Constraints on Hot Dry Rock Geothermal Applications

2014 ◽  
Vol 986-987 ◽  
pp. 719-721
Author(s):  
An Dong Wang ◽  
Zhan Xue Sun ◽  
Bao Qun Hu ◽  
Jin Hui Liu ◽  
Jian Jun Wan

In the past forty years, the investigation on Hot Dry Rock (HDR) geothermal resource has been a hot topic. A great number of investigations confirm that electricity power generated from HDR is feasible and propose that a right HDR site is composed of basement rock and its overlying cover. In the present study, we explore the petrology, geochronology and geochemistry features of the HDR basement rocks with the aim to further optimize HDR siting conditions. Combined analyses show that young S-type or crustally-derived granites with high U, Th and K contents have great potential to develop HDR geothermal resources.

2014 ◽  
Vol 492 ◽  
pp. 583-585 ◽  
Author(s):  
An Dong Wang ◽  
Zhan Xue Sun ◽  
Bao Qun Hu ◽  
Jin Hui Liu ◽  
Cheng Dong Liu

In the past decades, the study on Hot Dry Rock (HDR) geothermal resource has been a hot topic. A large number of investigations confirm that electricity power generated from HDR is feasible and suggest that HDR geothermal source is a kind of local and renewable energy. Up no now, many countries have carried out HDR experiments. As a large energy consumption country, China will also develop HDR geothermal energy in the near future. In the present study, our preliminary data potentially suggest that Guangdong province have great potential to develop HDR geothermal applications.


2021 ◽  
Author(s):  
Yang Yang ◽  
Bin Xiong ◽  
Sanxi Peng ◽  
Ibrar Iqbal ◽  
Tianyu Zhang

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.


2021 ◽  
Author(s):  
Pierfranco Lattanzi ◽  
Andrea Dini ◽  
Giovanni Ruggieri ◽  
Eugenio Trumpy

<p>Italy has never been a lithium (Li) producer, and the potential for “hard rock” deposits is moderate at best. On the other hand, the increasing demand for Li-based rechargeable batteries fostered new interest in this metal, and prompted the quest for alternative resources. The extraction of Li from geothermal brines (“geothermal lithium”) is currently considered in several countries, including, in Europe, France, Germany, and UK (EGEC, 2020).</p><p>Italy has vast geothermal resources, and there is a potential for “geothermal lithium” as well. A preliminary survey of literature data pointed out several occurrences of fluids with Li contents up to hundreds of mg/L. Among high-enthalpy fluids, we point out those of Cesano, Mofete, and Latera. At Cesano, geothermal fluids contain about 350 mg/L lithium (Calamai et al., 1976). Early studies conducted in the past century (Pauwels et al., 1990) suggested the feasibility of lithium recovery from these fluids. Even higher contents (480 mg/L) occur in the deep reservoir at Mofete (Guglielminetti, 1986), whereas fluids in the shallow and intermediate reservoir in the same field contain 28 to 56 mg/L. Geothermal fluids at Latera have somewhat lower contents (max 13.5 mg/L; Gianelli and Scandiffio, 1989). Several low-enthalpy thermal waters in Emilia-Romagna, Sardinia, Sicily and Tuscany also show significant (> 1 mg/L) Li contents (max 96 mg/L at Salsomaggiore; Boschetti et al., 2011). There are no published Li data for high-enthalpy fluids at Larderello; however, evidence of Li-rich fluids was found in fluid inclusions in hydrothermal minerals (Cathelineau et al., 1994). Moreover, the shallow (ca. 3.5 km) granitoid body underlying the field contains a Li-rich (about 1,000 ppm) biotite (A. Dini, unpublished data); it has been estimated that such rock may contain as much as 500 g Li per cubic meter.</p><p> </p><p>References</p><p>Boschetti T., et al. - Aquat Geochem (2011) 17:71–108</p><p>Calamai A., et al. <strong>- </strong>Proc. U.N. Symp. Development Use Geotherm. Energy, S. Francisco, USA (1976), 305-313</p><p>Cathelineau M., et al. – Geochim. Cosmochim. Acta (1994) 58: 1083-1099</p><p>EGEC (European Geothermal Council). https://www.egec.org/time-to-invest-in-clean-geothermal-lithium-made-in-europe/. Accessed December 2, 2020.</p><p>Gianelli G., Scandiffio G. - Geothermics (1989) 18: 447-463</p><p>Guglielminetti M. - Geothermics (1986) 15: 781-790</p><p>Pauwels H., et al. - Proc. 12th New Zealand Geothermal Workshop (1990), 117-123</p>


Energies ◽  
2016 ◽  
Vol 9 (10) ◽  
pp. 731 ◽  
Author(s):  
Guangzheng Jiang ◽  
Yi Wang ◽  
Yizuo Shi ◽  
Chao Zhang ◽  
Xiaoyin Tang ◽  
...  

2020 ◽  
Vol 39 (12) ◽  
pp. 883-892
Author(s):  
Donald W. Vasco ◽  
Jonny Rutqvist ◽  
Pierre Jeanne ◽  
Sergey V. Samsonov ◽  
Craig Hartline

Geodetic observations, often in conjunction with other data, provide a cost-effective means for identifying and characterizing geothermal resources. A review of the various methods reveals how the technology for measuring deformation has advanced considerably in the past few decades. Currently, interferometric synthetic aperture radar is the method of choice for monitoring deformation at a geothermal field. A discussion of geodetic monitoring at The Geysers geothermal field, California, illustrates some of the progress made and the challenges that remain.


2022 ◽  
Vol 9 ◽  
Author(s):  
Yonghui Huang ◽  
Yuanzhi Cheng ◽  
Lu Ren ◽  
Fei Tian ◽  
Sheng Pan ◽  
...  

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.


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