Najeeb Ullah

,

PhD

Petroleum Engineer

Subject matter expert
Consultant
Senior professional
Profile Summary

Dr. Najeebullah Lashari is a Petroleum Reservoir Engineer with over ten years of experience in the upstream Oil & Gas industry and academia. He holds a Ph.D. in Petroleum Engineering from Universiti Teknologi PETRONAS Malaysia and has a robust background in research and teaching.

Throughout his career, Dr. Lashari has specialized in:

  • Enhanced oil recovery
  • Synthesis of nanoparticles
  • Rock/fluid interactions
  • Rheology of fluids
  • Wettability alteration
  • Core flooding
  • The application of machine learning in Petroleum Engineering

He has been a lecturer at Dawood University of Engineering & Technology in Karachi, Pakistan since 2014, where he has taught various subjects including:

  • Reservoir Engineering
  • Fluid Mechanics
  • Project Planning and Management
  • Principles of Enhanced Oil Recovery
  • Natural Gas Engineering
  • Petroleum Geology & Geophysical Exploration

Dr. Lashari has been actively involved in research collaborations with several international universities and has served as a reviewer for numerous high-impact journals. His work has been widely published in peer-reviewed journals, reflecting his expertise in chemical enhanced oil recovery, nanomaterials, and machine learning applications in the petroleum sector.

In addition to his academic and research accomplishments, Dr. Lashari has received multiple recognitions and awards, including research grants and faculty advisor roles for the Society of Petroleum Engineers (SPE) student chapter at DUET. His technical proficiency, coupled with his strong business acumen and communication skills, make him a valuable asset in both academic and professional settings.

Personal details
Name:
Najeeb Ullah
Age:
35
Gender:
Male
Nationality:
Pakistan
Residence:
Pakistan
Educational background
Highest academic degree:
PhD in Petroleum Engineering
Professional details
Profession /occupation:
Petroleum Engineer
Experience:
10+ years
Notable past employers:
Dawood U. of Eng. & Tech
Areas of expertise:
EOR
Core analysis
Machine Learning
Software skills:
CMG
Python
Ansys
Recent work

Recent Research Publications (Peer-reviewed Journals):

  • "Impact of a novel HPAM/GO-SiO2 nanocomposite on interfacial tension: Application for enhanced oil recovery." Petroleum Science and Technology, 2022.
  • "Impact of nanoparticles stability on rheology, interfacial tension, and wettability in chemical enhanced oil recovery: A critical parametric review." Journal of Petroleum Science and Engineering, 2022.
  • "Emerging applications of nanomaterials in chemical enhanced oil recovery: Progress and perspective." Chinese Journal of Chemical Engineering, 2020.
  • "Synthesized graphene oxide and fumed aerosil 380 dispersion stability and characterization with partially hydrolyzed polyacrylamide." Chinese Journal of Chemical Engineering, 2021.
  • "Navigating viscosity of GO-SiO2/HPAM composite using response surface methodology and supervised machine learning models." Journal of Petroleum Science and Engineering, 2021.
  • "A review on application of nanoparticles in cEOR: Performance, mechanisms, and influencing parameters." Journal of Molecular Liquids, 2022.
  • "Experimental investigation of GO-HPAM and SiO2-HPAM composite for cEOR: Rheology, interfacial tension reduction, and wettability alteration." Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2022.
  • "Coreflood investigation of HPAM/GO-SiO2 composite through wettability alteration." Journal of Molecular Liquids, 2023.
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