Follow
Atif Ismail
Title
Cited by
Cited by
Year
Fracturing index-based brittleness prediction from geophysical logging data: application to Longmaxi shale
Q Yasin, Q Du, GM Sohail, A Ismail
Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 1-25, 2018
432018
Estimation of petrophysical parameters from seismic inversion by combining particle swarm optimization and multilayer linear calculator
Q Yasin, GM Sohail, Y Ding, A Ismail, Q Du
Natural Resources Research 29, 3291-3317, 2020
422020
Impact of organic contents and brittleness indices to differentiate the brittle-ductile transitional zone in shale gas reservoir
Q Yasin, Q Du, GM Sohail, A Ismail
Geosciences Journal 21 (5), 779-789, 2017
412017
A new integrated workflow for improving permeability estimation in a highly heterogeneous reservoir of Sawan Gas Field from well logs data
Q Yasin, Q Du, A Ismail, A Shaikh
Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 1-22, 2018
392018
Permeability prediction using hydraulic flow units and electrofacies analysis
AA Bhatti, A Ismail, A Raza, R Gholami, R Rezaee, R Nagarajan, E Saffou
Energy Geoscience 1 (1-2), 81-91, 2020
372020
A comparative study of empirical, statistical and virtual analysis for the estimation of pore network permeability
A Ismail, Q Yasin, Q Du, AA Bhatti
Journal of Natural Gas Science and Engineering 45, 825-839, 2017
312017
Combining classification and regression for improving shear wave velocity estimation from well logs data
Q Du, Q Yasin, A Ismail, GM Sohail
Journal of Petroleum Science and Engineering 182 (106260), 2019
272019
A numerical study to assess the effect of heterogeneity on CO2 storage potential of saline aquifer
Z Rasheed, A Raza, R Gholami, M Rabiei, A Ismail, V Rasouli
Energy Geoscience, 2020
262020
Reservoir characterization for sweet spot detection using color transformation overlay scheme
A Ismail, A Raza, R Gholami, R Rezaee
Journal of Petroleum Exploration and Production Technology, 2020
172020
Application of Hydraulic Flow Unit for Pore Size Distribution Analysis in Highly Heterogeneous Sandstone Reservoir: A Case Study
A Ismail, Q Yasin, Q Du
Journal of the Japan Petroleum Institute 61, 246-255, 2018
162018
Characterization based machine learning modeling for the prediction of the rheological properties of water-based drilling mud: an experimental study on grass as an …
A Ismail, HMA Rashid, R Gholami, A Raza
Journal of Petroleum Exploration and Production Technology 12 (6), 1677-1695, 2022
92022
Geotechnical characterization of bentonite-fly ash mixtures for their application as landfill liner in Pakistan
HMA Rashid, A Sardar, A Ismail
Arabian Journal of Geosciences 14 (14), 1307, 2021
82021
A comparative analysis of artificial neural network and rock physics for the estimation of shear wave velocity in a highly heterogeneous reservoir
Q Du, Q Yasin, A Ismail
SEG International Exposition and Annual Meeting, SEG-2018-2997613, 2018
82018
Identification and characterization of natural fractures in gas shale reservoir using conventional and specialized logging tools
Q Yasin, Q Du, A Ismail, Y Ding
SEG International Exposition and Annual Meeting, SEG-2018-2997626, 2018
72018
State-of-the-Art in shear velocity determination from Geophysical well log data: Verifiable, accurate and touch-stone of all empirical models
Q Yasin, Q Du, M Kashif, A Ismail
International Geophysical Conference, Qingdao, China, 17-20 April 2017, 86-90, 2017
62017
Automatic pore structure analysis in organic-rich shale using FIB-SEM and attention U-Net
Q Yasin, B Liu, M Sun, GM Sohail, A Ismail, M Majdanski, N Golsanami, ...
Fuel 358, 130161, 2024
52024
Application of hydraulic flow unit in pore size classification
Q Yasin, Q Du, G Yuan, A Ismail
SEG Technical Program Expanded Abstracts 2017, 3872-3876, 2017
52017
Porosity-permeability relationship in distinct flow units in light of geophysical and laboratory methods
A Ismail, Q Yasin, Q Du, A Ahmed, N Khan
2017 CGS/SEG International Geophysical Conference, 2017
32017
Seismic characterization of fault and fractures in deep buried carbonate reservoirs using CNN-LSTM based deep neural networks
B Liu, Q Yasin, GM Sohail, G Chen, A Ismail, Y Ma, X Fu
Geoenergy Science and Engineering 229, 212126, 2023
22023
Identification of brittle and ductile zones in sandstone reservoir using well log analysis; a case study, Southern Indus Basin, Pakistan
I Khan, A Ismail, I Ali
IOP Conference Series: Materials Science and Engineering 414 (1), 012021, 2018
22018
The system can't perform the operation now. Try again later.
Articles 1–20