پديد آورنده :
نادري، صلاح
عنوان :
توصيف مخزن ژئوترمال سبلان با استفاده از مدل معكوس سه بعدي داده هاي مگنتوتلوريك ﴿MT﴾
مقطع تحصيلي :
كارشناسي ارشد
گرايش تحصيلي :
اكتشاف معدن
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده معدن
صفحه شمار :
نه، 76ص.: مصور، جدول، نمودار
يادداشت :
ص.ع. به فارسي و انگليسي
استاد راهنما :
نادر فتحيان پور، محمدرضا ايران نژادي
استاد مشاور :
احمدرضا مختاري
توصيفگر ها :
ميدان زمين گرمايي , مدلسازي معكوس , سبلان
تاريخ نمايه سازي :
14/5/91
استاد داور :
عبدالمجيد انصاري، مرتضي طبائي
تاريخ ورود اطلاعات :
1396/09/18
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي
چكيده انگليسي :
Evaluating Of Sabalan Geothermal Field Using Three Dimensional Invers Model of Magnetotelluric Data Salah Naderi s naderi@mi iut ac ir Date of Submission 2012 03 01 Department of Mining Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language FarsiSupervisor Nader Fathianpour fathian@cc iut ac ir pe Mohammad Reza Irannezhadi mohiran@cc iut ac irAbstract Geothermal energy is the energy that has been obtained from the heated fluid hot water or steam within depth of the earth In a geothermal system heat stored in rocks and lava located deep in the earth istransferred to the surface through a carrier fluid Currently due to the growth in population and industry energy shortage and the crisis of global warming that has been created by fossil fuels geothermal energyhas become an attractive energy source in the world Geothermal reservoirs are usually located at a depthrange of 1 to 5 km so to efficiently utilize such resources an advanced prospecting method is needed todetect these deep geologic structures The TEM Transient Electro Magnetic and MT Magnetotelluric methods are commonly used in geothermal exploration Because it can image the low resistivity lowpermeability smectite clay that caps most geothermal reservoirs magnetotellurics MT is commonly usedto help target geothermal wells and assess resource capacity The methods give valuable information wherethe resistivity structure of the geothermal systems may be connected to temperature and other attributes thatare of interest In our country there are also the areas with high geothermal gradient that with the studiesdone about 18 promising area for the utilization of this energy is detected Sabalan geothermal field is ahigh potential geothermal system in Ardabil that So far much research has been done to explore and assessits thermal potential History feasibility of operations in this area dates back to 1350 years that the first timeby an Italian company several studies conducted in this area and Sabalan region as a first priority to theexploration of geothermal energy for power generation and other industrial applications was introduced inthe country In 1998 the Magnetotelluric data has been collected in area in order to determine the resistivityof the superficial and deep structure by a New Zealand company In this study modeling of data collected in1998 is performed in order to investigate and determine the major components of geothermal system andStatus of resistivity in the upper layers of geothermal reservoir For this purpose 11 profiles from the dataapproximately 20 km length in two orthogonal and aligned with the major geological structures in thesouthern of Meshkinshahr mean fault in Moil area are selected and data modeling on approximately 13sites along each of the profiles is performed Results of one dimensional inverse modeling two dimensional inverse modeling and the final three dimensional model indicate the presence of two zonesaround the valley and one zone in the northeast of moil Valley with resistivity less than 11 ohm m in theelevation range of 788 to 1588 meter above sea level which is consistent with previous studies andgeological information in the area Finally based on the product area of this region in the conductivityvalue as criteria rated as areas with high potential in order of priority three optimal points were proposed Keywords Geothermal field Magnetotelluric Reservoir inverse modeling Sabalan Iran
استاد راهنما :
نادر فتحيان پور، محمدرضا ايران نژادي
استاد مشاور :
احمدرضا مختاري
استاد داور :
عبدالمجيد انصاري، مرتضي طبائي