Major hydrogeochemical processes in the two reservoirs of the Yangbajing geothermal field, Tibet, China

Guo, Qinghai; Wang, Yanxin; Liu, Wei

doi:10.1016/j.jvolgeores.2007.08.004

Cited by 88 publications

(58 citation statements)

References 23 publications

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“…Geothermal fluids are mixed with shallow cold groundwater and then flow southeastward, forming the shallow reservoir within Quaternary sediments. Guo et al (2007) described the detailed geology and hydrogeology at Yangbajing.…”

Section: General Geologymentioning

confidence: 99%

O, H, and Sr isotope evidences of mixing processes in two geothermal fluid reservoirs at Yangbajing, Tibet, China

2009

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The Yangbajing geothermal field with the highest reservoir temperature among Chinese hydrothermal systems is located about 90 km northwest to Lhasa City, capital of Tibet, where high temperature geothermal fluids occur in two reservoirs: a shallow one at a depth of 180-280 m and a deep one at 950-1,850 m. In this study, Oxygen-18 and deuterium isotope compositions as well as 87 Sr/ 86 Sr ratios of water samples collected from geothermal wells, cold springs and surface water bodies were characterized to understand the genesis of geothermal fluids at Yangbajing. The results show that the deep geothermal fluid is the mixing product of both magmatic and infiltrating snow-melt water, whereas the shallow geothermal fluid is formed by the mixing of deep geothermal fluid with cold groundwater. Using a binary mixing model with deep geothermal fluid and cold groundwater as two endmembers, the mixing ratios of the latter in most shallow geothermal water samples were calculated to be between 40 and 50%. The combined use of O, H, and Sr isotopes proves to be an effective approach to depict the major sources of geothermal fluids and the mixing processes occurring in two reservoirs at Yangbajing.Keywords Geothermal fluid Á Oxygen-18 and deuterium isotope Á 87 Sr/ 86 Sr ratio Á Mixing Á Yangbajing Á Tibet

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Section: General Geologymentioning

confidence: 99%

O, H, and Sr isotope evidences of mixing processes in two geothermal fluid reservoirs at Yangbajing, Tibet, China

2009

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“…Although it has been reported that the Yangbajing geothermal system consists of shallow and deep reservoirs [25], in this study we only consider the shallow layer for the source model inversion. This simplification is realistic for three reasons.…”

Section: Discussionmentioning

confidence: 99%

“…The Yangbajing geothermal system includes two reservoirs at distinct depths [1,24,25]. The shallow reservoir, divided into northern and southern parts by the China-Nepal Highway, covers an area of approximately 14.6 km 2 at a depth of 180~280 m (Figure 1b).…”

Section: Study Areamentioning

confidence: 99%

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Investigating the Ground Deformation and Source Model of the Yangbajing Geothermal Field in Tibet, China with the WLS InSAR Technique

Wang

Zhao

et al. 2016

Remote Sensing

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Abstract:Ground deformation contains important information that can be exploited to look into the dynamics of a geothermal system. In recent years, InSAR has manifested its strong power in the monitoring of ground deformation. In this paper, a multi-temporal InSAR algorithm, WLS InSAR, is employed to monitor and characterize the Yangbajing geothermal field in Tibet, China, using 51 ENVISAT/ASAR images acquired from two overlapping descending tracks. The results reveal that the WLS InSAR algorithm can suppress the adverse effects of seasonal oscillations, associated with the freezing-thawing cycle of the permafrost in the Qinghai-Tibet Plateau. Deformations of up to 2 cm/yr resulting from the exploitation of the geothermal resource have been detected in the southern part of the Yangbajing field between 2006 and 2010. A source model inversion of the subsurface geothermal fluids was carried out based on the elastic half-space theory using the accumulated deformations. It was found that most geothermal fluid loss has occurred in the southern part of the shallow reservoir as the pore space beneath the northern part of field was recharged by the ascending flow from the deep layers of the reservoir through well-developed faults in the region.

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“…Currently, the geothermal temperature scale approach is an economical and effective means of providing this parameter. This approach has been widely used in estimating reservoir temperatures, including cationic, silica, gas chemistry, isotope, and so on [19][20][21][22][23][24][25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Predicting Strata Temperature Distribution from Drilling Fluid Temperature

Shuanhai¹,

Ba²,

XianFeng³

et al. 2016

IJHT

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Geothermal gradient is one of the most important parameters for geothermal exploration and exploitation. Mud is generally used as a drilling fluid in geothermal wells. According to energy conservation law, when the drilling penetrates through an aquifuge or aquitard, its temperature can be used to establish the mathematical analysis model for estimating the geothermal gradient. The recorded mud temperatures in some practical drilling cases in southwest China have been applied to study the influence radius of geotherm that is conducted by surrounding rock into the derived formula. The fitting calculation results show that the absolute error is generally very low, being less than 10%, which indicates that the proposed formula can be used to effectively predict the geothermal gradient. The calculation indicates that it is only when the rock conductive influencing radius is very small (around 0.25m) that it is possible to have a reasonable solution.

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Major hydrogeochemical processes in the two reservoirs of the Yangbajing geothermal field, Tibet, China

Cited by 88 publications

References 23 publications

O, H, and Sr isotope evidences of mixing processes in two geothermal fluid reservoirs at Yangbajing, Tibet, China

O, H, and Sr isotope evidences of mixing processes in two geothermal fluid reservoirs at Yangbajing, Tibet, China

Investigating the Ground Deformation and Source Model of the Yangbajing Geothermal Field in Tibet, China with the WLS InSAR Technique

Predicting Strata Temperature Distribution from Drilling Fluid Temperature

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