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A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "H2: Geothermal".

Deadline for manuscript submissions: closed (25 August 2023) | Viewed by 5070

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Prof. Dr. Jingtao Zhao

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Guest Editor

State Key Laborartory of Coal Resources and Safe Mining, College of Geoscience and Surveying Engineering, China University of Mining & Technology, D11 Xueyuan Road, Haidian District Beijing 100083, China
Interests: diffractions and high-resolution imaging; geophysical artificial intelligence for geological disasters in coal mining; geophysical exploration method for deep thermal storage; high-performance CPU/GPU computing and software development

Dr. Jingjie Cao

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Guest Editor

Hebei Key Laboratory of Strategic Critical Mineral Resources, Hebei GEO University, Shijiazhuang 050031, China
Interests: Seismic signal processing; geophysical inversion algorithm and its applications

Dr. Suzhen Shi

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Guest Editor

State Key Laborartory of Coal Resources and Safe Mining, College of Geoscience and Surveying Engineering, China University of Mining & Technology, D11 Xueyuan Road, Haidian District, Beijing 100083, China
Interests: artificial intelligence and seismic exploration; digital rock and rock physics theory; lithology and fluid interpretation of seismic data

Special Issue Information

Dear Colleagues,

Geothermal energy has become a new energy research topic in the world due to its clean, stable operation and wide distribution. According to the water abundance and porous conditions of a geothermal reservoir, it can be divided into hydrothermal type and hot dry rock type. Although a comprehensive geophysical exploration technology and method system for deep thermal storage has been preliminarily formed, there are some difficulties such as lack of basic theoretical research, weak geophysical signal extraction, three-dimensional fine description of complex underground structures and uncertainty in resource evaluation. This Special Issue on “Geophysical Exploration for Deep Thermal Storage” aims to cover recent advances in the genesis mechanism of deep thermal storage and its geophysical exploration techniques. The topics of interest include, but are not limited to, the following topics:

The genesis mechanism of a deep high-temperature geothermal body and its geophysical responses;
High-temperature rock physics experiments and forward modeling;
Comprehensive geophysical exploration technology of deep thermal storage;
Acquisition and processing technology of weak geophysical signals for deep thermal storage;
Seismic and gravity-magneto-electric joint inversion technology;
Multiple-information interpretation and evaluation for deep thermal storage;
Reservoir modeling and evaluation of deep high-temperature geothermal storage.

Prof. Dr. Jingtao Zhao
Dr. Jingjie Cao
Dr. Suzhen Shi
Guest Editors

Manuscript Submission Information

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Published Papers (4 papers)

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Research

13 pages, 10407 KiB

Open AccessArticle

A Study on the Acquisition Technology for Weak Seismic Signals from Deep Geothermal Reservoirs

by Ruizhen Wang, Jinkuan Wang, Haidong Li, Hongliang Cui, Meizhen Tang and Jingtao Zhao

Energies 2023, 16(6), 2751; https://doi.org/10.3390/en16062751 - 15 Mar 2023

Cited by 1 | Viewed by 1164

Abstract

There are rich geothermal resources in China and they are widely distributed. After years of continuous exploration and production, most of the shallow geothermal resources have been explored and the current exploration mainly focuses on deep ones. Among a great many geophysical exploration methods, seismic survey is the most effective means of geothermal resource exploration and production, but its weak seismic reflection signal, low S/N ratio and poor imaging of thermal reservoirs due to the seismic geological conditions restrict the production and utilization of deep geothermal resources. It considers through the analysis of the geophysical characteristics of the thermal reservoir that the main causes for the weak seismic reflection signals from deep thermal reservoirs are (1) the shielding effect of the strong wave impedance interface between the thermal reservoir and the caprocks; (2) the small reflection coefficient inside the thermal reservoir; and (3) the serious absorption and attenuation of high-temperature fluids such as hydrothermal fluids and steam in the thermal reservoirs by seismic waves. Accordingly, a series of seismic data acquisition technologies are proposed based on the high-precision vibroseis low-frequency shooting, high-sensitivity geophones long-spread receiving and small bin size highfold technologies, and their application in the seismic acquisition of dry-hot rocks (HDR) in Gonghe Basin, Qinghai, shows a very good application effect. Full article

(This article belongs to the Special Issue Geophysical Exploration for Deep Thermal Storage)

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23 pages, 13604 KiB

Open AccessArticle

Predicting the Temperature Field of Hot Dry Rocks by the Seismic Inversion Method

by Hongjie Peng, Jingtao Zhao and Rui Cui

Energies 2023, 16(4), 1865; https://doi.org/10.3390/en16041865 - 13 Feb 2023

Cited by 2 | Viewed by 970

Abstract

Hot dry rocks, as clean and abundant sources of new energy, are crucial in the restructuring of energy. Predicting the temperature field of hot dry rocks is of great significance for trapping the target areas of hot dry rocks. How to use limited logging data to predict the temperature field within a work area is a difficulty faced in hot dry rock exploration. We propose a method to predict the hot dry rock temperature field (using seismic inversion results). The relationship between porosity and transverse wave velocity was established with petrophysical modeling. The difference in porosity calculated from the density and transverse wave velocity was incorporated in the seismic inversion results to find the thermal expansion and predict the temperature field. We applied the method to predict the temperature of hot dry rocks in the Gonghe Basin. The results showed that the temperature in the northeast work area was higher than in the southwest area at the same depth, and a depth of 150 °C of the hot dry rock reservoir was shallower. The thermal storage cover was analyzed from the geological stratigraphic data of the Gonghe Basin. The thermal storage cover in the northeastern part was thicker than in the southwestern part and had better thermal insulation, which is consistent with the prediction of the temperature field. Full article

(This article belongs to the Special Issue Geophysical Exploration for Deep Thermal Storage)

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14 pages, 5133 KiB

Open AccessArticle

Seismic Diffraction Attribute Fusion for Geological Discontinuities in Hot Dry Rock Resources

by Jie Yang, Suping Peng and Jingtao Zhao

Energies 2023, 16(3), 1138; https://doi.org/10.3390/en16031138 - 19 Jan 2023

Cited by 1 | Viewed by 1291

Abstract

For the safe development and utilization of hot dry rock resources, it is essential to understand the distribution characteristics of underground faults. However, the commonly used reflection attribute analysis method has an insufficient resolution, and the diffraction attribute analysis method is affected by multiple solutions. Moreover, both are highly dependent on the interpreters’ experience and take a long time. Therefore, based on the classical U-Net model, a diffraction attribute fusion model (DAF-U-Net) with 27-layer convolution is proposed. The DAF-U-Net network takes four-channel diffracted attributes as an input and underground fracture distribution as an output. The new network adds a spatial attention and channel attention mechanism to improve the positioning and extraction ability of the U-Net model for the attribute characteristics of diffractions. After optimizing the diffraction attributes of hot dry rock slices in the Gonghe basin, Qinghai, the slices are input into the network to train the model. According to the prediction and identification results of the network model, the DAF-U-Net network has a high reliability in predicting fracture distributions. It has a specific reference role in the subsequent exploitation of hot dry rock. Full article

(This article belongs to the Special Issue Geophysical Exploration for Deep Thermal Storage)

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26 pages, 12401 KiB

Open AccessArticle

A Study on Magnetotelluric Characteristics of Magmatic Geothermal Systems

by Jianhui Li, Wenbo Zhang, Mingjun Li and Ying Liu

Energies 2022, 15(24), 9282; https://doi.org/10.3390/en15249282 - 7 Dec 2022

Cited by 1 | Viewed by 895

Abstract

The Magnetotelluric (MT) method is a widely used and effective method of exploring geothermal resources because it can reveal geological information at a great depth and is cost effective. In order to further improve the reliability and rationality of MT data interpretation, MT responses for a typical hydrothermal system and a hot dry rock (HDR) and partial melting system are investigated by a finite-element (FE) forward modeling approach based on unstructured tetrahedral grids that can handle with complex-shaped geothermal systems. These two geothermal models, designed by the 3ds Max software, are comprised of a clay cap, a reservoir, and a heat source, and are discretized into tetrahedral elements by TetGen software. The results show that the apparent resistivities at the broadband of frequencies are mainly affected by the shallow low-resistivity clay cap due to its strong shielding effects, and the induction arrows effectively reflect the boundary of the clay cap. The conductive heat-conducting path and heat source (1 S/m) considered in the models of the HDR and partial melting system could cause significant changes in the apparent resistivities and induction arrows at low frequencies. It suggests that in addition to the apparent resistivities, the induction arrows should be taken into consideration in MT data processing and inversion for better lateral resolution when exploring geothermal resources. Full article

(This article belongs to the Special Issue Geophysical Exploration for Deep Thermal Storage)

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