Evaluating the Chingshui geothermal reservoir in northeast Taiwan with a 3D integrated geophysical visualization model

Chang, Ping; Lo, Wei; Song, Sheng Rong; Ho, Kong Ruei; Wu, Chia-Shan; Chen, Chow Son; Lai, Yu‐Chi; Chen, Huei Fen; Lu, Hseuh Yu

doi:10.1016/j.geothermics.2013.09.014

Cited by 18 publications

(14 citation statements)

References 12 publications

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“…The phase tensor parameters gradually show a strong 3D effect between sites 20 and 23 (W -E trend) below T = 10 s, which implies that a conductive anomaly may be located at depth in the area. Thus, the 3D inversion process can potentially delineate an improved electrical model for the Chingshui geothermal area compared with previous studies (Tong et al 2008;Chang et al 2014).…”

Section: Phase Tensor Decompositionmentioning

confidence: 97%

“…The remote reference technique after Gamble et al (1979) was used to improve the data quality. Impedance data for periods > 10 s were removed due to lower data quality as identified by larger error bars and/or scattered data points, as previous papers (Tong et al 2008;Chang et al 2014) did not show the detailed MT responses. We therefore could not compare the difference between old and our reprocessed data.…”

Section: Data Collection and Analysismentioning

confidence: 99%

“…We therefore could not compare the difference between old and our reprocessed data. However, previous MT electrical resistivity models (Tong et al 2008;Chang et al 2014) both show extremely large root-mean-square (RMS) errors implied resulting from data noise, numerical modeling error, inability to model 3D object with 2D modeling approaches and poor inversion settings. The MT impedance dimensionality and directionality parameters were reanalyzed by employing two approaches: (1) the McNeice-Jones scheme (McNeice and Jones 2001); and (2) Phase tensor decomposition (Caldwell et al 2004), to evaluate whether a traditional 2D inversion is suitable for the MT data.…”

Section: Data Collection and Analysismentioning

confidence: 99%

“…This investigation combines magnetotelluric (MT), magnetic, gravity, and borehole data to reconstruct a conceptual model to provide more details of the complex Chingshui geothermal system. Chang et al (2014) thought that the surface hot spring locations are inconsistent with the low resistivity region locations proposed in MT inverted images by Tong et al (2008). They reprocessed the MT data set again and integrated it with direct-current resistivity data and well logs to rebuild a new three-dimensional (3D) visualization model.…”

Section: Introductionmentioning

confidence: 99%

“…Previous MT studies applied one-and/or two-dimensional inversion approaches (Tong et al 2008;Chang et al 2014) without dimensionality analysis which may be unable to delineate the geothermal structures if the MT data is mixed with 3D effects, galvanic distortions (Bertrand et al 2009(Bertrand et al , 2012Chiang et al 2010Chiang et al , 2011 or topographic effects (Wannamaker et al 1986;Jiracek 1990). We attempted to carefully reprocess these MT data step by step to evaluate whether the MT data can be appropriately inverted using 1D or 2D inversion.…”

Section: Introductionmentioning

confidence: 99%

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An Investigation of the 3D Electrical Resistivity Structure in the Chingshui Geothermal Area, NE Taiwan

Chiang¹,

Hsu²,

Chen³

2015

Terr. Atmos. Ocean. Sci.

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The Chingshui geothermal area southwest of the Ilan plain is identified as a western extension of the Okinawa Trough in the northern Taiwan subduction system. Numerous geophysical, geological and geochemical investigations have been conducted since the 1970s by the Industrial Technology Research Institute, the Chinese Petroleum Corporation of Taiwan and the National Science Council of Taiwan. These studies indicated that the Chingshui stream is one of the largest geothermal areas for electricity generation in Taiwan. However, the power generation efficiency has not met initial expectations. Magnetotelluric (MT) data analyses show that the Chingshui geothermal region is a geologically complex area. A full three-dimensional (3D) inversion was therefore applied to reprocess the MT data and provide the detailed electrical structure beneath the Chingshui geothermal region. The 3D geoelectrical model displays an improved image that clearly delineates the Chingshui geothermal system geometry. Two conductive anomalies are imaged that possibly indicate high potential areas for geothermal energy in the Chingshui geothermal system. One of the potential areas is located in the eastern part of the Chingshui Fault at shallow depths. A significant conductive anomaly is associated with high heat flow and fluid content situations southwest of the geothermal manifest area at depth. A higher interconnected fluid indicates that this area contains the highest potential for geothermal energy in the Chingshui geothermal system.

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Section: Phase Tensor Decompositionmentioning

confidence: 97%

Section: Data Collection and Analysismentioning

confidence: 99%

Section: Data Collection and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Investigation of the 3D Electrical Resistivity Structure in the Chingshui Geothermal Area, NE Taiwan

Chiang¹,

Hsu²,

Chen³

2015

Terr. Atmos. Ocean. Sci.

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Geothermal Anomaly Mapping Using Landsat ETM+ Data in Ilan Plain, Northeastern Taiwan

Chan

Chang

Dao

2017

Pure Appl. Geophys.

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Abstract-Geothermal energy is an increasingly important component of green energy in the globe. A prerequisite for geothermal energy development is to acquire the local and regional geothermal prospects. Existing geophysical methods of estimating the geothermal potential are usually limited to the scope of prospecting because of the operation cost and site reachability in the field. Thus, explorations in a large-scale area such as the surface temperature and the thermal anomaly primarily rely on satellite thermal infrared imagery. This study aims to apply and integrate thermal infrared (TIR) remote sensing technology with existing geophysical methods for the geothermal exploration in Taiwan. Landsat 7 (L7) Enhanced Thematic Mapper Plus (ETM?) imagery is used to retrieve the land surface temperature (LST) in Ilan plain. Accuracy assessment of satellite-derived LST is conducted by comparing with the air temperature data from 11 permanent meteorological stations. The correlation coefficient of linear regression between air temperature and LST retrieval is 0.76. The MODIS LST product is used for the cross validation of Landsat derived LSTs. Furthermore, Landsat ETM? multi-temporal brightness temperature imagery for the verification of the LST anomaly results were performed. LST Results indicate that thermal anomaly areas appear correlating with the development of faulted structure. Selected geothermal anomaly areas are validated in detail by field investigation of hot springs and geothermal drillings. It implies that occurrences of hot springs and geothermal drillings are in good spatial agreement with anomaly areas. In addition, the significant low-resistivity zones observed in the resistivity sections are echoed with the LST profiles when compared with in the Chingshui geothermal field. Despite limited to detecting the surficial and the shallow buried geothermal resources, this work suggests that TIR remote sensing is a valuable tool by providing an effective way of mapping and quantifying surface features to facilitate the exploration and assessment of geothermal resources in Taiwan.

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Magnetotelluric Studies for Hydrocarbon and Geothermal Resources: Examples from the Asian Region

Patro

2017

Surv Geophys

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Evaluating the Chingshui geothermal reservoir in northeast Taiwan with a 3D integrated geophysical visualization model

Cited by 18 publications

References 12 publications

An Investigation of the 3D Electrical Resistivity Structure in the Chingshui Geothermal Area, NE Taiwan

An Investigation of the 3D Electrical Resistivity Structure in the Chingshui Geothermal Area, NE Taiwan

Geothermal Anomaly Mapping Using Landsat ETM+ Data in Ilan Plain, Northeastern Taiwan

Magnetotelluric Studies for Hydrocarbon and Geothermal Resources: Examples from the Asian Region

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