2026 Martin J. Blunt: Engineering and Technology Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	117	62	58	3	2	733	53451

Research.com Recognitions

2026 - Research.com Engineering and Technology in United Kingdom Leader Award
2025 - Research.com Engineering and Technology in United Kingdom Leader Award
2022 - Research.com Engineering and Technology in United Kingdom Leader Award
2019 - Fellow of the Royal Academy of Engineering (UK)

Overview

Martin J. Blunt is affiliated with Imperial College London in the United Kingdom. Their research spans multiple fields primarily within engineering and environmental science, focusing on subsurface flow and reservoir characterization.

The main research fields include:

Engineering
Environmental Science

Subfields of study cover:

Ocean Engineering
Mechanics of Materials
Environmental Engineering
Mechanical Engineering
Computational Mechanics

Key research topics for Martin J. Blunt include:

Enhanced Oil Recovery Techniques
Hydrocarbon exploration and reservoir analysis
Hydraulic Fracturing and Reservoir Analysis
CO2 Sequestration and Geologic Interactions
Groundwater flow and contamination studies
Lattice Boltzmann Simulation Studies
NMR spectroscopy and applications

Martin J. Blunt has published extensively in several scientific venues, with frequent contributions to:

Transport in Porous Media
Advances in Water Resources
Water Resources Research
SSRN Electronic Journal
Fuel

Recent significant papers authored or co-authored by Martin J. Blunt include:

Advances in carbon capture, utilization and storage (2020, Applied Energy)
Pore-scale modelling and sensitivity analyses of hydrogen-brine multiphase flow in geological porous media (2021, Scientific Reports)
Deep learning in pore scale imaging and modeling (2021, Earth-Science Reviews)
Review of underground hydrogen storage: Concepts and challenges (2022, ADVANCES IN GEO-ENERGY RESEARCH)
Pore-scale X-ray imaging with measurement of relative permeability, capillary pressure and oil recovery in a mixed-wet micro-porous carbonate reservoir rock (2020, Fuel)

Frequent co-authors in their research collaborations include:

Branko Bijeljic
Sajjad Foroughi
Qingyang Lin
Ali Q. Raeini
Yihuai Zhang

Martin J. Blunt was recognized as a Fellow of the Royal Academy of Engineering in the United Kingdom in 2019.

Best Publications

Carbon capture and storage update

Matthew E. Boot-Handford;Juan C. Abanades;Edward J. Anthony;Martin J. Blunt

2542
Citations
Pore-scale imaging and modelling

Martin J. Blunt;Branko Bijeljic;Hu Dong;Oussama Gharbi

2099
Citations
Tenth SPE Comparative Solution Project: A Comparison of Upscaling Techniques

Christie;M.J. Blunt

1497
Citations
Pore-network extraction from micro-computerized-tomography images

Hu Dong;Martin J. Blunt

1428
Citations
Tenth SPE Comparative Solution Project: a comparison of upscaling techniques

Michael Andrew Christie;M J Blunt

1356
Citations
Flow in porous media — pore-network models and multiphase flow

Martin J. Blunt

1211
Citations
Impact of relative permeability hysteresis on geological CO2 storage

R. Juanes;E. J. Spiteri;F. M. Orr;M. J. Blunt

1091
Citations
Detailed physics, predictive capabilities and macroscopic consequences for pore-network models of multiphase flow.

Martin J. Blunt;Matthew D. Jackson;Mohammad Piri;Per H. Valvatne

939
Citations
Predictive pore-scale modeling of two-phase flow in mixed wet media

Per H. Valvatne;Per H. Valvatne;Martin J. Blunt

847
Citations
Prediction of relative permeability in simple porous media.

Steven Bryant;Martin Blunt

704
Citations
Modelling two-phase flow in porous media at the pore scale using the volume-of-fluid method

Ali Q. Raeini;Martin J. Blunt;Branko Bijeljic

647
Citations
Capillary trapping for geologic carbon dioxide storage - From pore scale physics to field scale implications

Samuel Krevor;Martin J. Blunt;Sally M. Benson;Christopher H. Pentland

578
Citations
Carbon dioxide in enhanced oil recovery

Martin Blunt;F.John Fayers;Franklin M. Orr

543
Citations
Reconstruction of three-dimensional porous media using generative adversarial neural networks.

Lukas Mosser;Olivier Dubrule;Martin J. Blunt

542
Citations
Prediction of permeability for porous media reconstructed using multiple-point statistics

Hiroshi Okabe;Martin J. Blunt

510
Citations
Computations of Absolute Permeability on Micro-CT Images

Peyman Mostaghimi;Martin J. Blunt;Branko Bijeljic

488
Citations
Multiphase Flow in Permeable Media: A Pore-Scale Perspective

Martin J. Blunt

479
Citations
Multiphase Flow in Permeable Media

Unknown

475
Citations
Pore-scale contact angle measurements at reservoir conditions using X-ray microtomography

Matthew Andrew;Branko Bijeljic;Martin J. Blunt

462
Citations
Pore space reconstruction using multiple-point statistics

Hiroshi Okabe;Martin J. Blunt

434
Citations
Three-dimensional mixed-wet random pore-scale network modeling of two- and three-phase flow in porous media. I. Model description

Mohammad Piri;Martin J. Blunt

421
Citations
A 3D Field-Scale Streamline-Based Reservoir Simulator

R.P. Batycky;M.J. Blunt;M.R. Thiele

413
Citations
Relative permeabilities from two- and three-dimensional pore-scale network modelling

Martin Blunt;Peter King

394
Citations