7893

7341

كارشناسي ارشد

اكتشاف

اصفهان: دانشگاه صنعتي اصفهان، دانشكده معدن

1391

ده،111ص.: مصور،جدول،نمودار

ص.ع.به فارسي و انگليسي

نادر فتحيان پور، مرتضي طبايي

مهندس لوافان

26/5/92

احمدرضا مختاري، سعيد اسلاميان

مهندسي معدن

ID7341

به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي

112 Combining PMR and Geoelectrical Datasets in Order to Map Growndwater Potential at HESA Site North of Shahinshahr Bahman Mohammadi b mohammadi@mi iut ac ir Date of Submission 2012 09 18 Department of Mining Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language FarsiSupervisor1 Nader Fathianpour fathian@cc iut ac irSupervisor2 Morteza Tabaei mtabaei@cc iut ac irAbstract The Proton Magnetic Resonance PMR method is among newest technologies developed in recentdecades for estimating hydraulic properties of soil aquifers and underground reservoirs The maincharacteristics of this technique is its ability to directly detect the free water molecules in formation poresresulting in the possibility of deriving the subsurface hydrological and petrophysical parameters such asporosity and permeability In order to get a more reliable inverted model out of PMR data the subsurfaceresistivity should be known as a priori The studied area is part of north Shahinshahr plain close to the west border of HESA site which isregionally considered as part of great Zayandehrood watershed In current study the inverted 1D 2D and 3D resistivity models obtained from resistivity sounding datawere generated first leading to determining groundwater table and basement depth and consequentlymapping the regions with higher groundwater potential It is geologically well known that due to thetectonic settings of the studied area which has caused main fracturing and folding of the subsurfacebasement the main controlling factor of groundwater flow is believed to be the basement topography Suchinference is generally in well agreement with the geoelectrical inverted models In the second phase of this research the PMR data were collected through surveying over one PMRsounding point Due to being very close to the industrial activities in HESA site plus other electric powerline sources the noise level is very high leading to a lower signal to noise ratio of the PMR data In order toreduce the noise level application of real time filters such as notch block differencing and sine differencingwas inevitable during the collection of PMR field data Through 1D inversion of PMR data the static water table was interpreted to be resting at a depth ofabout 98 meter Also through joint interpretation of true intrinsic resistivity model obtained from resistivitysounding data and porosity and permeability parameters obtained from PMR data it is concluded that theaquifer is mainly consisted of medium to fine grain alluvial deposits Finally through calibrating resistivitymodels obtained from electrical sounding data by PMR parameters the resistivity sounding models weremodified and extended to the three dimensional extent of studied area Using the main three parameterscharacterizing groundwater potential such as thickness of water bearing bed basement depth and waterquality the best locations for drilling water wells have been proposed Keywords Proton Magnetic Resonance PMR geoelectric sounding inverse modeling calibration

نادر فتحيان پور، مرتضي طبايي

مهندس لوافان

احمدرضا مختاري، سعيد اسلاميان