Optimizing hydraulic fracturing parameters using genetic programming / Esraa Osama Ibrahim Mousa ; Supervised Eissa Shokir

By:

Esraa Osama Ibrahim Mousa

Contributor(s):

Eissa Shokir []

Material type: Text

TextLanguage: English Publication details: Cairo : Esraa Osama Ibrahim Mousa , 2021Description: 76 P. : charts ; 30cmOther title:

تحسين عوامل التكسير الهيدروليكى باستخدام البرمجة الجينية [Added title page title]

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Issued also as CD

Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Metallurgical Engineering Summary: The researcher studied the development of new three simple models to predict the hydraulic fracturing parameters using artificial intelligence technique (Genetic Programming). The main three parameters are Fracture Pressure, Fracture Half Length and the Fracture Width. Where the inputs of the first model for calculating the fracture pressure are: current pressure, porosity, permeability, depth, Young{u2019}s modulus, Poisson ratio.The inputs for the fracture half-length model are: Fracture Pressure, young{u2019}s modulus, permeability, reservoir thickness. The inputs for fracture width model are: Fracture Pressure, Poisson ratio, permeability, reservoir thickness. The models were built using 180 points and verified using Monte Carlo technique. In addition, it was verified against three actual case studies

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Item type	Current library	Home library	Call number	Copy number	Status	Date due	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.12.M.Sc.2021.Es.O (Browse shelf(Opens below))		Not for loan		01010110083492000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.12.M.Sc.2021.Es.O (Browse shelf(Opens below))	83492.CD	Not for loan		01020110083492000

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

The researcher studied the development of new three simple models to predict the hydraulic fracturing parameters using artificial intelligence technique (Genetic Programming). The main three parameters are Fracture Pressure, Fracture Half Length and the Fracture Width. Where the inputs of the first model for calculating the fracture pressure are: current pressure, porosity, permeability, depth, Young{u2019}s modulus, Poisson ratio.The inputs for the fracture half-length model are: Fracture Pressure, young{u2019}s modulus, permeability, reservoir thickness. The inputs for fracture width model are: Fracture Pressure, Poisson ratio, permeability, reservoir thickness. The models were built using 180 points and verified using Monte Carlo technique. In addition, it was verified against three actual case studies

Issued also as CD

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