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