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Two-Phase Relative Permeability Prediction Using a Linear Regression Model

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1201/9781351076326openalex-snapshot
Relative Permeability of Petroleum Reservoirs
inferredcites →https://doi.org/10.2118/36780-jptopenalex-snapshot
Engineering Core Analysis
inferredcites →https://doi.org/10.2118/65631-msopenalex-snapshot
Two-Phase Relative Permeability Prediction Using a Linear Regression Model
inferredcites →https://doi.org/10.2118/949111-gopenalex-snapshot
Theoretical Generalizations Leading to the Evaluation of Relative Permeability
inferredcites →https://doi.org/10.2118/9966-paopenalex-snapshot
Empirical Equations for Estimating Two-Phase Relative Permeability in Consolidated Rock
inferredcites →https://doi.org/10.2307/2532427openalex-snapshot
Probability and Statistics for Engineering and the Sciences.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Examining the Impact of Graphene Oxide Nanoparticles on Heavy Oilfields: Interfacial Tension, Wettability, and Oil Recovery Studies
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Basics of Oil and Gas Flow in Reservoirs
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Experimental and theoretical study of gas/oil relative permeability
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Relative Permeability Modeling Using Extra Trees, ANFIS, and Hybrid LSSVM–CSA Methods
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The Effect of Wettability on Waterflood Remaining Oil Saturation and Endpoint Relative Permeabilities in Carbonate and Sandstone Rocks
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A systemic review of hydrogen supply chain in energy transition
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Fluid Flow and Recovery
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Relative Permeability
inferred← citeshttps://doi.org/10.1016/j.fuel.2014.09.058openalex-snapshot
Connectionist approach estimates gas–oil relative permeability in petroleum reservoirs: Application to reservoir simulation
inferred← citeshttps://doi.org/10.1016/j.molliq.2016.08.055openalex-snapshot
Novel Method for estimation of Gas/Oil relative Permeabilities
inferred← citeshttps://doi.org/10.1016/j.petlm.2015.07.008openalex-snapshot
Evolving simple-to-use method to determine water–oil relative permeability in petroleum reservoirs
inferred← citeshttps://doi.org/10.1016/j.petrol.2018.09.085openalex-snapshot
Prediction of oil-water relative permeability in sandstone and carbonate reservoir rocks using the CSA-LSSVM algorithm
inferred← citeshttps://doi.org/10.1080/10916461003620461openalex-snapshot
An Accuracy Comparison Between Artificial Neural Network and Some Conventional Empirical Relationships in Estimation of Relative Permeability
inferred← citeshttps://doi.org/10.1080/10916461003773054openalex-snapshot
Prediction of Key Points of Water-oil Relative Permeability Curves Using the Linear Regression Technique
inferred← citeshttps://doi.org/10.1080/10916466.2010.493913openalex-snapshot
The Prediction of Water-oil Relative Permeability Key Points Using An Adaptive Neuro-fuzzy Inference System
inferred← citeshttps://doi.org/10.1080/15567036.2010.527909openalex-snapshot
An Estimation of Water-Oil Relative Permeability Full Curves by ANFIS
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Capillary seal capacity of faults under hydrodynamic conditions
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Applying Flow Zone Index Approach and Artificial Neural Networks Modeling Technique for Characterizing a Heterogeneous Carbonate Reservoir Using Dynamic Data: Case Study of an Iranian Reservoir
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Translating Petrophysics to Engineering Economics
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Laboratory Investigations To Determine the Effect of Connate-Water Composition on Low-Salinity Waterflooding in Sandstone Reservoirs
inferred← citeshttps://doi.org/10.2118/180874-msopenalex-snapshot
New Insights on Relative Permeability and Initial Water Saturation Effects During Low-Salinity Waterflooding for Sandstone Reservoirs
inferred← citeshttps://doi.org/10.2118/180875-msopenalex-snapshot
Effectiveness of Low-Salinity and CO2 Flooding Hybrid Approaches in Low-Permeability Sandstone Reservoirs
inferred← citeshttps://doi.org/10.2118/193609-msopenalex-snapshot
Permanent Removal of Condensate Banking in Tight Gas Reservoirs Using Thermochemicals
inferred← citeshttps://doi.org/10.2118/196022-msopenalex-snapshot
A Hybrid Approach for the Prediction of Relative Permeability Using Machine Learning of Experimental and Numerical SCAL Data
inferred← citeshttps://doi.org/10.2118/196022-paopenalex-snapshot
A Hybrid Approach for the Prediction of Relative Permeability Using Machine Learning of Experimental and Numerical Proxy SCAL Data
inferred← citeshttps://doi.org/10.2118/2002-213openalex-snapshot
Developing a Proficient Relative Permeability Resource From Historical Data
inferred← citeshttps://doi.org/10.2118/202700-msopenalex-snapshot
Physics Driven AI Coreflooding Simulator for SCAL Data Analysis
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Artificial Intelligence Coreflooding Simulator for Special Core Data Analysis
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Advancing Relative Permeability Estimation Through Data-Driven Modeling
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Two-Phase Steady-State and Unsteady-State Relative Permeability Prediction Models
inferred← citeshttps://doi.org/10.2118/71703-msopenalex-snapshot
Capillary Pressure Data from NMR Logs and Its Implications on Field Economics
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A Physics-Constrained Transformer Framework for Predicting Oil–Water Relative Permeability in Porous Media
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