Ramez Abdalla, M.Sc

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A Petroleum Engineer seeking for new and exciting opportunities in petroleum engineering. working on Master degree in "Automatic failure diagnosis of sucker rod pump using artificial neural networks ” , Willing to innovate the new concepts which can improve Petroleum Production technologies. Areas of Interest: - Nodal Analysis - Artificial lift - Flowing well performance - Pressure Transient Testing Design and Analysis - Sucker rod pump optimization - Numerical Reservoir Simulation - Applications of Artificial Neural Networks in Petroleum Engineering

petroleum reservoir fluids oil and gas machine learning sucker rod pumping systems fault diagnosis artificial lift leadership life beam pumping

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Ramez Abdalla, M.Sc

Présentations

Managing Downhole Failures in a Rod Pumped Well

The solvent & surfactant model

Diagnosis of Rod Pump Downhole Problems using Artificial Neural Networks (ANN)

Born To Lead

Artificial Intelligence Applications in Petroleum Engineering - Part I

Introduction to Reservoir Fluids Courese

Introduction to fluid flow through a porous medium

Documents

AUTOMATIC WELL FAILURE ANALYSIS FOR THE SUCKER ROD PUMPING SYSTEMS USING MACHINE LEARNING ALGORITHMS

J’aime

One day gas lift system course

Eclipse 100 - Petroleum reservoir simulation course

Team M Reservoir simulation-an extract from original ppt

Motion and time study

Performing bench work ppt

Notes from Coursera Deep Learning courses by Andrew Ng

Procurement And Materials Management

Over view of software artitecture

Raspberry pi based liquid flow monitoring and control

Pipesim 2000 user guide

Well logging

Well Test Design

Superconductors and Superconductivity

Smart Oilfield Data Mining Final Project-Rod Pump Failure Prediction

Sucker rod pumping short course!!! ~downhole diagnostic