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Oil Reservoir Permeability Estimation from Well Logging Data Using Statistical Methods (A Case Study: South Pars Oil Reservoir)

https://doi.org/10.28991/cej-030918
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Flow of Gases through Porous Media
inferredcites →https://doi.org/10.1016/j.compind.2010.10.008openalex-snapshot
Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems
inferredcites →https://doi.org/10.1016/j.ejpe.2016.10.013openalex-snapshot
Prediction of permeability and porosity from well log data using the nonparametric regression with multivariate analysis and neural network, Hassi R’Mel Field, Algeria
inferredcites →https://doi.org/10.1016/j.eswa.2008.09.053openalex-snapshot
Generalization performance of support vector machines and neural networks in runoff modeling
inferredcites →https://doi.org/10.1016/j.jmr.2017.09.004openalex-snapshot
An improved method for permeability estimation of the bioclastic limestone reservoir based on NMR data
inferredcites →https://doi.org/10.1016/j.petrol.2011.07.017openalex-snapshot
Permeability prediction based on reservoir zonation by a hybrid neural genetic algorithm in one of the Iranian heterogeneous oil reservoirs
inferredcites →https://doi.org/10.1016/j.petrol.2014.07.035openalex-snapshot
Permeability estimation in heterogeneous oil reservoirs by multi-gene genetic programming algorithm
inferredcites →https://doi.org/10.1016/j.petrol.2016.03.020openalex-snapshot
Chemical compaction features as potential barriers in the Permian-Triassic reservoirs of Southern Iran
inferredcites →https://doi.org/10.1016/s0263-8762(97)80003-2openalex-snapshot
Fluid flow through granular beds
inferredcites →https://doi.org/10.1080/10916466.2010.518187openalex-snapshot
The Prediction of Permeability From Well Logging Data Based on Reservoir Zoning, Using Artificial Neural Networks in One of an Iranian Heterogeneous Oil Reservoir
inferredcites →https://doi.org/10.1111/j.1365-2478.2012.01080.xopenalex-snapshot
Reservoir permeability prediction by neural networks combined with hybrid genetic algorithm and particle swarm optimization
inferredcites →https://doi.org/10.1142/s1469026810002902openalex-snapshot
HYBRID COMPUTATIONAL INTELLIGENCE MODELS FOR POROSITY AND PERMEABILITY PREDICTION OF PETROLEUM RESERVOIRS
inferredcites →https://doi.org/10.1190/ice2016-6267083.1openalex-snapshot
Integrating geological attributes with a multiple linear regression of geophysical well logs to estimate the permeability of carbonate reservoirs in Campos basin - Southeastern Brazil
inferredcites →https://doi.org/10.22050/ijogst.2015.10365openalex-snapshot
Toward a Thorough Approach to Predicting Klinkenberg Permeability in a Tight Gas Reservoir: A Comparative Study
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Nonlinear Regression Analysis and Its Applications.
inferredcites →https://doi.org/10.3923/jas.2009.2016.2030openalex-snapshot
Permeability Prediction in an Oil Reservoir and Construction of 3D Geological Model by Stochastic Approaches
inferredcites →https://doi.org/10.3997/2214-4609.201701391openalex-snapshot
Fractured Carbonate Reservoir Permeability Estimation by Microresistivity Imaging Logging
inferredcites →https://doi.org/10.5120/13881-1778openalex-snapshot
An Intelligence Approach for Porosity and Permeability Prediction of Oil Reservoirs using Seismic Data
inferredcites →https://doi.org/10.5455/jmood.20130624120840openalex-snapshot
Linear regression analysis
inferredcites →https://doi.org/10.7551/mitpress/1130.003.0024openalex-snapshot
Support Vector Density Estimation

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.3349570openalex-extracted
Estimation of Permeability of a Reservoir using Deep Learning Algorithms on Well Logs
inferred← citeshttps://doi.org/10.1007/s12517-021-06542-4openalex-snapshot
Dynamic reservoir sand characterization of an oil field in the Niger Delta from seismic and well log data
inferred← citeshttps://doi.org/10.1007/s13146-026-01234-0openalex-snapshot
Petrophysical evaluation and 3D reservoir modeling of oligocene intervals in the Zagros Basin, Iraq
inferred← citeshttps://doi.org/10.1007/s13198-022-01655-9openalex-snapshot
Machine learning methods for estimating permeability of a reservoir
inferred← citeshttps://doi.org/10.1016/b978-0-323-85465-8.00012-1openalex-snapshot
Integrated microfacies interpretations of large natural gas reservoirs combining qualitative and quantitative image analysis
inferred← citeshttps://doi.org/10.1016/j.petrol.2020.107283openalex-snapshot
An integrated approach for heterogeneity analysis of carbonate reservoirs by using image log based porosity distributions, NMR T2 curves, velocity deviation log and petrographic studies: A case study from the South Pars gas field, Persian Gulf Basin
inferred← citeshttps://doi.org/10.1021/acsomega.4c07242openalex-snapshot
Permeability Prediction and Potential Site Assessment for CO2 Storage from Core Data and Well-Log Data in Malay Basin Using Advanced Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1063/5.0091814openalex-snapshot
Permeability determination in un-cored well of Amarah oil field
inferred← citeshttps://doi.org/10.2113/rgg20244638openalex-snapshot
Deterministic and Stochastic Modeling in Prediction of Petrophysical Properties of an Albian Carbonate Reservoir in the Campos Basin (Southeastern Brazil)
inferred← citeshttps://doi.org/10.22075/ijnaa.2021.4918openalex-snapshot
A novel approach to estimate reservoir permeability using machine learning method
inferred← citeshttps://doi.org/10.31699/ijcpe.2024.4.5openalex-snapshot
Reservoir permeability prediction based artificial intelligence techniques
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