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Prakash Purswani
Prakash Purswani
Verified email at lanl.gov
Title
Cited by
Cited by
Year
Factors and mechanisms governing wettability alteration by chemically tuned waterflooding: a review
P Purswani, MS Tawfik, ZT Karpyn
Energy & Fuels 31 (8), 7734-7745, 2017
932017
Laboratory investigation of chemical mechanisms driving oil recovery from oil-wet carbonate rocks
P Purswani, ZT Karpyn
Fuel 235, 406-415, 2019
422019
Evaluation of image segmentation techniques for image-based rock property estimation
P Purswani, ZT Karpyn, K Enab, Y Xue, X Huang
Journal of Petroleum Science and Engineering 195, 107890, 2020
392020
Predictive Modeling of Relative Permeability Using a Generalized Equation of State
P Purswani, RT Johns, ZT Karpyn, M Blunt
SPE Journal, 2020
202020
Mechanical degradation of polyacrylamide at ultra high deformation rates during hydraulic fracturing
B Xiong, P Purswani, T Pawlik, L Samineni, ZT Karpyn, AL Zydney, ...
Environmental Science: Water Research & Technology 6 (1), 166-172, 2020
162020
On the development of a relative permeability equation of state
P Purswani, MS Tawfik, ZT Karpyn, RT Johns
Computational Geosciences 24, 807-818, 2019
152019
Comparative study of traditional and deep-learning denoising approaches for image-based petrophysical characterization of porous media
MS Tawfik, AS Adishesha, Y Hsi, P Purswani, RT Johns, P Shokouhi, ...
Frontiers in Water 3, 800369, 2022
82022
Application of Tracer-Based Workflow for Calibrating Reservoir Heterogeneity
S Doorwar, P Purswani, A Ambastha, L Jain, S Thach
SPE Reservoir Evaluation & Engineering, 2020
82020
Modeling the effect of reaction kinetics and dispersion during low-salinity Waterflooding
D Magzymov, P Purswani, ZT Karpyn, RT Johns
SPE Journal 26 (05), 3075-3093, 2021
52021
Predictive model for relative permeability using physics-based artificial neural networks
HF Yoga, P Purswani, RT Johns
SPE Improved Oil Recovery Conference?, D021S023R002, 2022
42022
Relationship between residual saturations and wettability using pore-network modeling
P Purswani, RT Johns, ZT Karpyn
SPE Annual Technical Conference and Exhibition?, D031S059R005, 2021
42021
Pysimfrac: A python library for synthetic fracture generation, analysis, and simulation
E Guiltinan, JE Santos, P Purswani, JD Hyman
arXiv preprint arXiv:2309.13849, 2023
22023
Predictive Model for Relative Permeability Using Physically-Constrained Artificial Neural Networks
HF Yoga, RT Johns, P Purswani
SPE Journal 29 (02), 928-942, 2024
12024
Relative Permeability Equation-of-State: The Role of Phase Connectivity, Wettability, and Capillary Number
P Purswani
The Pennsylvania State University, 2021
12021
Hybrid ion exchange and biological processes for water and wastewater treatment: a comprehensive review of process applications and mathematical modeling
T Zhang, K Payne, J Zhang, P Purswani, Z Karpyn, M Wang
Reviews in Environmental Science and Bio/Technology 23 (1), 163-188, 2024
2024
Impact of wettability on capillary phase trapping using pore-network modeling
P Purswani, RT Johns, ZT Karpyn
Advances in Water Resources 184, 104606, 2024
2024
Pore-Scale Investigation Contrasting Carbon Dioxide and Hydrogen Flow during Subsurface Gas Storage
P Purswani, EJ Guiltinan, Q Kang, M Mehana, C Neil, T Germann, ...
AGU23, 2023
2023
Impact of Fracture and Flow Parameters on Multiphase Flow through Fractures
P Purswani, JE Santos, J Hyman, EJ Guiltinan
AGU23, 2023
2023
PySimFrac: A Python Library for Generating, Analyzing, and Simulating Synthetic Fractures
EJ Guiltinan, JE Santos, P Purswani, A Marcato, J Hyman
AGU23, 2023
2023
Numerical Investigation of Multiphase Flow through Complex Fractures
P Purswani, JE Santos, JDH Hyman, E Guiltinan
Authorea Preprints, 2023
2023
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