پديد آورنده :
گنجعلي وندي قمري، پروين
عنوان :
پيش‌بيني هدايت‌پذيري جريان سيال در محيط متخلخل و بررسي پارامترهاي موثر بر آن
مقطع تحصيلي :
كارشناسي ارشد
گرايش تحصيلي :
مهندسي شيمي
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده مهندسي شيمي
صفحه شمار :
پانزده، ۱۱۷ص.:مصور، جدول، نمودار
استاد راهنما :
محمدرضا احساني، عليرضا خزعلي
توصيفگر ها :
جريان سيال , محيط متخلخل , هدايت‌پذيري سيال , مدل شبكه‌اي , شبيه‌سازي جريان سيال
استاد داور :
مسعود حق شناس فرد، روح الله هاشمي
تاريخ ورود اطلاعات :
1396/08/22
رشته تحصيلي :
مهندسي شيمي
چكيده انگليسي :
Prediction of Flow Fluid Conductance In Porous Media And Investigation of Effective Parameters Parvin ganjalivandighamari parvin ganjalivandi@gmail com 19 June2017 06 19 Department of Chemical Engineering Isfahan University of Tecnology Isfahan 84156 83111 IranDegree M Sc Language FarsiSupervisor Alirezakhazali@cc iut ac irAbstractIn Today s World Oil is Considered as the Most Energy Efficient Source of fuel andEnergy Therefore The study of Reserves of Oil and Underground reservoirs is veryimportant and has been Expanding in resent desades In the present study the Simulation ofcavities of porous environment of oil was carried out and the result of this are the sameconductivity of oil and water fluids in different Geometries under the difference ofunderground pressure tank for use in coded programs to predict relative permeability andAbsolut fluid permeation in General according to the result of simulation for Higher Viscosity fluids in the type of water loving rocks oil is more conducive to simulationgeometry conditions and water is less conductive in the same conditions Using 3Dsimulation oil conductivity is more accurate than previous ones and relative permabilitywere predicted Using Two methods using neural network with 3D simulations withoutusing the neural networks which is the use of previous formulas and relationships and thecorresponding diagrams Extracted and concluded that the use of the neural network topredict the water conductivity coefficient results more accurately than when using theneural network But for oil the use of the neural network is not sufficiently accurate inpredicying oil conductivity and needs to be corrected Key WordsFluid Flow Porous Media Fluid Conductance Pore scale
استاد راهنما :
محمدرضا احساني، عليرضا خزعلي
استاد داور :
مسعود حق شناس فرد، روح الله هاشمي
