scholarly journals Progress report on modeling studies: Natural state conditions and exploitation of the Dachny geothermal reservoir, Mutnovsky hydrothermal system, Kamchatka, Russia

1992 ◽  
Author(s):  
A.V. Kiryukhin
Keyword(s):  
Hydrothermal System ◽  
Progress Report ◽  
Geothermal Reservoir ◽  
Natural State ◽  
Modeling Studies

scholarly journals Bayesian calibration of a natural state geothermal reservoir model, Krafla, north Iceland

2021 ◽  
Author(s):  
Samuel Scott ◽  
John P O'Sullivan ◽  
Oliver J Maclaren ◽  
Ruanui Nicholson ◽  
Cari Covell ◽  
...  
Keyword(s):  
Geothermal Reservoir ◽  
Natural State ◽  
Reservoir Model ◽  
Bayesian Calibration

scholarly journals Natural State Modeling of Singapore Geothermal Reservoir

2012 ◽  
Vol 3 ◽  
pp. 34-40
Author(s):  
Hendrik Tjiawi ◽  
Andrew C. Palmer ◽  
Grahame J. H. Oliver
Keyword(s):  
Hot Springs ◽  
Hot Spring ◽  
High Heat ◽  
Hot Water ◽  
Geothermal Reservoir ◽  
Natural State ◽  
Geothermal System ◽  
Fuel Price ◽  
The Cost ◽  
Engineered Geothermal System

 The existence of hot springs coupled with the apparent anomalous high heat flow has sparked interest in the potential for geothermal development in Singapore. This geothermal resource may be potentially significant and could be exploited through Engineered Geothermal System (EGS) technology, i.e. a method to create artificial permeability at depth in granitic or sandstone formations as found under Singapore. The apparently ever-increasing fossil fuel price has made the cost of using the EGS technology more viable than it was in the past. Thus, to assess the resource, a numerical model for the geothermal reservoir has been constructed. Mass and heat flows in the system are simulated in 2D with AUTOUGH2.2, and the graphical interface processed through MULGRAPH2.2. Natural state calibration was performed to match both the observed and the expected groundwater profile, and also to match the hot water upflow at the Sembawang hot spring, with simulated flowrate matching the hot spring natural flowrate. The simulation gives an encouraging result of 125 - 150 °C hot water at depth 1.25 – 2.75 km.

scholarly journals Geysers Valley CO2 Cycling Geological Engine (Kamchatka, Russia)

Geofluids ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
A. Kiryukhin ◽  
V. Sugrobov ◽  
E. Sonnenthal
Keyword(s):  
Water Discharge ◽  
Water Injection ◽  
Geothermal Reservoir ◽  
Chemical Components ◽  
Natural State ◽  
Water Influx ◽  
Chemical History ◽  
Valley Of Geysers ◽  
Giant Landslide ◽  
Gas Lift

1941–2017 period of the Valley of Geysers monitoring (Kamchatka, Kronotsky Reserve) reveals a very dynamic geyser behavior under natural state conditions: significant changes of IBE (interval between eruptions) and power of eruptions, chloride and other chemical components, and preeruption bottom temperature. Nevertheless, the total deep thermal water discharge remains relatively stable; thus all of the changes are caused by redistribution of the thermal discharge due to giant landslide of June 3, 2007, mudflow of Jan. 3, 2014, and other events of geothermal caprock erosion and water injection into the geothermal reservoir. In some cases, water chemistry and isotope data point to local meteoric water influx into the geothermal reservoir and geysers conduits. TOUGHREACT V.3 modeling of Velikan geyser chemical history confirms 20% dilution of deep recharge water and CO2 components after 2014. Temperature logging in geysers Velikan (1994, 2007, 2015, 2016, and 2017) and Bolshoy (2015, 2016, and 2017) conduits shows preeruption temperatures below boiling at corresponding hydrostatic pressure, which means partial pressure of CO2 creates gas-lift upflow conditions in geyser conduits. Velikan geyser IBE history explained in terms of gradual CO2 recharge decline (1941–2013), followed by CO2 recharge significant dilution after the mudflow of Jan. 3, 2014, also reshaped geyser conduit and diminished its power.

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