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Development of new models for predicting crude oil viscosity using genetic algorithm / Alaa Atif Hussein Hammouda ; Supervised Eissa Mohamed Shokir , Abdelsattar Abdelhamid Dahab

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Alaa Atif Hussein Hammouda , 2018Description: 75 P. : charts ; 30cmOther title:
  • تطوير نماذج جديدة للتنبؤ بلزوجة الزيت الخام باستخدام الخوارزم الجينى [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Metallurgical Engineering Summary: Accurate determination of crude oil viscosity is necessary in multi disciplines such as reservoir simulation, enhanced oil recovery and evaluation of hydrocarbon reserves. This work develops new models for predicting crude oil viscosity using Genetic Algorithm at four oil regimes; dead, saturated, under-saturated and bubble point oil pressures
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Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.12.M.Sc.2018.Al.D (Browse shelf(Opens below)) Not for loan 01010110080050000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.12.M.Sc.2018.Al.D (Browse shelf(Opens below)) 80050.CD Not for loan 01020110080050000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Metallurgical Engineering

Accurate determination of crude oil viscosity is necessary in multi disciplines such as reservoir simulation, enhanced oil recovery and evaluation of hydrocarbon reserves. This work develops new models for predicting crude oil viscosity using Genetic Algorithm at four oil regimes; dead, saturated, under-saturated and bubble point oil pressures

Issued also as CD

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