Rizwan Ahmed Khan

About Rizwan Ahmed Khan

Rizwan Ahmed Khan, With an exceptional h-index of 12 and a recent h-index of 11 (since 2020), a distinguished researcher at King Fahd University of Petroleum and Minerals, specializes in the field of Petroleum Engineering, Field Development Optimization, Rock Mechanics, and Rock Geophysics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Plunger Lift Application in Packer Wells–Success Stories, Challenges & Lessons Learnt

Ionic liquids as clay stabilizer additive in fracturing fluid

Machine Learning for Prediction of CO2 Minimum Miscibility Pressure

Data Driven Intelligent Modeling to Estimate Adsorption of Methane Gas in Shales

Ionic liquids as completion fluids to mitigate formation damage

Integration of Formation and Drilling Parameters to Generate a Deterministic ROP Model

Ionic Liquids as Clay Swelling Inhibitors: Adsorption Study

Shale brittleness prediction using machine learning—A Middle East basin case study

Rizwan Ahmed Khan Information

University

Position

___

Citations(all)

353

Citations(since 2020)

326

Cited By

73

hIndex(all)

12

hIndex(since 2020)

11

i10Index(all)

15

i10Index(since 2020)

12

Email

University Profile Page

King Fahd University of Petroleum and Minerals

Google Scholar

View Google Scholar Profile

Rizwan Ahmed Khan Skills & Research Interests

Petroleum Engineering

Field Development Optimization

Rock Mechanics

and Rock Geophysics

Top articles of Rizwan Ahmed Khan

Title

Journal

Author(s)

Publication Date

Plunger Lift Application in Packer Wells–Success Stories, Challenges & Lessons Learnt

ZH Khan

Q Hafeez

R Ahmed

SA Memon

RA Khan

2023/10/2

Ionic liquids as clay stabilizer additive in fracturing fluid

Fuel

Rizwan Ahmed Khan

Mobeen Murtaza

Ayyaz Mustafa

Abdulazeez Abdulraheem

Mohamed Mahmoud

...

2023/2/15

Machine Learning for Prediction of CO2 Minimum Miscibility Pressure

Muzammil Shakeel

Mohammad Rasheed Khan

Shams Kalam

Rizwan Ahmed Khan

Shirish Patil

2022/10/14

Data Driven Intelligent Modeling to Estimate Adsorption of Methane Gas in Shales

Shams Kalam

Sidqi A Abu-Khamsin

Mohammad Rasheed Khan

Asiya Abbasi

Abdul Asad

...

2022/2/21

Ionic liquids as completion fluids to mitigate formation damage

Journal of Petroleum Science and Engineering

Rizwan Ahmed Khan

Zeeshan Tariq

Mobeen Murtaza

Muhammad Shahzad Kamal

Mohamed Mahmoud

...

2022/7/1

Integration of Formation and Drilling Parameters to Generate a Deterministic ROP Model

Mohammad Rasheed Khan

Ahmed Sadeed

Shams Kalam

Sidqi Abu-Khamsin

Abdulazeez Abdulraheem

...

2022/4/25

Ionic Liquids as Clay Swelling Inhibitors: Adsorption Study

Energy & Fuels

Rizwan Ahmed Khan

Shams Kalam

Kion Norrman

Muhammad Shahzad Kamal

Mohamed Mahmoud

...

2022/3/15

Shale brittleness prediction using machine learning—A Middle East basin case study

AAPG Bulletin

Ayyaz Mustafa

Zeeshan Tariq

Mohamed Mahmoud Abdulazeez Abdulraheem

Shams Kalam

Rizwan Ahmed Khan

2022

An ANN model to predict oil recovery from a 5-spot waterflood of a heterogeneous reservoir

Journal of Petroleum Science and Engineering

Shams Kalam

Usama Yousuf

Sidqi A Abu-Khamsin

Umair Bin Waheed

Rizwan Ahmed Khan

2022/3/1

Development of a Computationally Intelligent Model to Estimate Oil Formation Volume Factor

Mohammad Rasheed Khan

Shams Kalam

Rizwan Ahmed Khan

2021/8/9

Impact of Multi-Branched Ionic Liquid on Shale Swelling and Hydration for High Temperature Drilling Applications

Rizwan Ahmed Khan

Hafiz Mudaser Ahmad

Mobeen Murtaza

Abdulazeez Abdulraheem

Muhammad Shahzad Kamal

...

2021/5/25

Intelligent Predictor for Polymer Viscosity to Enhance Support for EOR Processes

Mohammad Rasheed Khan

Shams Kalam

Abdul Asad

Rizwan Ahmed Khan

Muhammad Shahzad Kamal

2021/12/15

Data-driven modeling approach to predict the recovery performance of low-salinity waterfloods

Natural Resources Research

Shams Kalam

Rizwan Ahmed Khan

Shahnawaz Khan

Muhammad Faizan

Muhammad Amin

...

2021/4

Deterministic Modeling to Predict the Natural Gas Density Using Artificial Neural Networks

Mariam Shreif

Shams Kalam

Mohammad Rasheed Khan

Rizwan Ahmed Khan

2021/12/15

Artificial Intelligence-based Predictive Technique to Estimate Oil Formation Volume Factor

Shams Kalam

Mohammad Rasheed Khan

Rizwan Ahmed Khan

2021/12/15

Development of Novel Shale Swelling Inhibitors Using Hydrophobic Ionic Liquids and Gemini Surfactants for Water-Based Drilling Fluids

Rizwan Ahmed Khan

Mobeen Murtaza

Hafiz Mudaser Ahmad

Abdulazeez Abdulraheem

Muhammad Shahzad Kamal

...

2021/12/15

Imidazolium-Based Ionic Liquids as Clay Swelling Inhibitors: Mechanism, Performance Evaluation, and Effect of Different Anions

ACS omega

Rizwan Ahmed Khan

Mobeen Murtaza

Abdulazeez Abdulraheem

Muhammad Shahzad Kamal

Mohamed Mahmoud

2020/10/6

Poly (Oxyethylene)-amidoamine Based Gemini Cationic Surfactants with Hydrophilic Spacers as Clay Stabilizers

Energy & Fuels

Mobeen Murtaza

Rizwan Ahmed Khan

Muhammad Shahzad Kamal

SM Shakil Hussain

Mohamed Mahmoud

2020/8/24

New vision into relative permeability estimation using Artificial Neural Networks

Shams Kalam

Mohammad Khan

Mohamed Mahmoud

Rizwan Ahmed Khan

Sidqi A Abu-Khamsin

2020/11/12

Advancing relative permeability estimation through data-driven modeling

Shams Kalam

Mohammad Khan

Rizwan Ahmed Khan

Mir Muhammad Alam

Ahmed Sadeed

...

2020/11/9

See List of Professors in Rizwan Ahmed Khan University(King Fahd University of Petroleum and Minerals)

Co-Authors

H-index: 49
Mohamed A. Mahmoud

Mohamed A. Mahmoud

King Fahd University of Petroleum and Minerals

H-index: 43
Abdulazeez Abdulraheem

Abdulazeez Abdulraheem

King Fahd University of Petroleum and Minerals

H-index: 40
Muhammad Shahzad Kamal

Muhammad Shahzad Kamal

King Fahd University of Petroleum and Minerals

H-index: 28
Zeeshan Tariq

Zeeshan Tariq

King Fahd University of Petroleum and Minerals

H-index: 22
Mobeen Murtaza

Mobeen Murtaza

King Fahd University of Petroleum and Minerals

H-index: 20
Sidqi Abu-Khamsin

Sidqi Abu-Khamsin

King Fahd University of Petroleum and Minerals

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