P
Pedram Masoudi
Researcher at University of Tehran
Publications - 21
Citations - 217
Pedram Masoudi is an academic researcher from University of Tehran. The author has contributed to research in topics: Sedimentary depositional environment & Reservoir modeling. The author has an hindex of 10, co-authored 17 publications receiving 156 citations. Previous affiliations of Pedram Masoudi include Institut de radioprotection et de sûreté nucléaire & Centre national de la recherche scientifique.
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Inversion of well logs into rock types, lithofacies and environmental facies, using pattern recognition, a case study of carbonate Sarvak Formation
TL;DR: In this article, a method is proposed to study the facies types through well logs, where parametric and non-parametric (k-nearest neighbor) classifiers were applied to the dataset.
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Identifying productive zones of the Sarvak formation by integrating outputs of different classification methods
TL;DR: In this paper, four different methods are used to identify producing intervals from well log data and well test results, and the final zoning is generated by integrating the outputs of these four methods.
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Uncertainty assessment of porosity and permeability by clustering algorithm and fuzzy arithmetic
TL;DR: In this article, a hybrid clustering-fuzzy arithmetic algorithm is proposed, which uses cluster analysis to quantify porosity uncertainty, then the uncertainty is projected to the irreducible water saturation and permeability by the means of fuzzy arithmetic.
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Feature selection for reservoir characterisation by Bayesian network
TL;DR: In this paper, a Bayesian Network, K2 algorithm is used to find interrelationships of petrophysical parameters and feature conditioning for estimating porosity and permeability, vug and fracture detection, and net pay determination.
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Uncertainty assessment of volumes of investigation to enhance the vertical resolution of well-logs
TL;DR: In this paper, the authors used Dempster-Shafer theory (DST) to estimate the uncertainty boundary of each well-log and then used four simulators for scanning the uncertainty range in order to enhance the vertical resolution of welllogs by generating simulated-logs.