The Application of Geostatistical Methods to Prepare the 3D Petrophysical Model of Oil Reservoir

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ISSN Print: 2161-7570
ISSN Online: 2161-7589
www.scirp.org/journal/ojg
E-mail: ojg@scirp.org

"The Application of Geostatistical Methods to Prepare the 3D Petrophysical Model of Oil Reservoir"
written by Hakimeh Amanipoor, Mohammad Ghafoori, Gholam Reza Lashkaripour,
published by Open Journal of Geology, Vol.3 No.1, 2013

has been cited by the following article(s):

[1]	Semivariogram Anisotropik Potensi Kekuatan Gempa Bumi
	2022

[2]	Geological Modeling for Nahr Umr Formation in Subba Oil Field, Southern Iraq
	2021

[3]	Reservoir Characterization and Geostatistical Model of the Cretaceous and Cambrian-Ordovician Reservoir Intervals, Meghil Field, Sirte Basin, Libya
	2020

[4]	Integrative Trust-Based Functional Contracting: A Complementary Contractual Approach to BIM-Enabled Oil And Gas EPC Project Delivery
	2019

[5]	Konfigurasi Spasial Potensi Kekuatan Gempa Bumi Menggunakan Metode Kriging Semivariogram Anisotropik 3D
	2019

[6]	3D MODELİNG OF POROSİTY İN SARVAK FORMATİON VİA GAUSSİAN SİMULATİON METHOD İN DEZFUL EMBAYMENT, A CASE STUDY.
	2018

[7]	Petrofisica Integrada Para El Modelamiento De La Permeabilidad De Un Campo Colombiano.
	2018

[8]	Applying Indicator Kriging in Modeling of Regions with Critical Drilling Fluid Loss in Asmari Reservoir in an Oil Field in Southwestern Iran
	Journal of Petroleum Research, 2017

[9]	Evaluation of Optimal Designs for Infill Well Drilling for Water Flood Systems
	2017

[10]	Simulation of Petrophysical Parameters of Asmari Reservoir Using SGS Method in Mansuri Oil Field, Southwest of Iran
	2017

[11]	Streamlining Digital Modeling and Building Information Modelling (BIM) Uses for the Oil and Gas Projects
	Archives of Computational Methods in Engineering, 2016

[1]	Reservoir Characterization and Geostatistical Model of the Cretaceous and Cambrian-Ordovician Reservoir Intervals, Meghil Field, Sirte Basin, Libya Day 2 Tue, October 27, 2020, 2020 DOI:10.2118/201417-MS

[2]	Streamlining Digital Modeling and Building Information Modelling (BIM) Uses for the Oil and Gas Projects Archives of Computational Methods in Engineering, 2018 DOI:10.1007/s11831-016-9201-4

[3]	Permeability prediction from wireline logging and core data: a case study from Assam-Arakan basin Journal of Petroleum Exploration and Production Technology, 2018 DOI:10.1007/s13202-018-0459-y

[4]	Simulation of Petrophysical Parameters of Asmari Reservoir Using SGS Method in Mansuri Oil Field, Southwest of Iran Open Journal of Geology, 2017 DOI:10.4236/ojg.2017.78079

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