Open Journal of Geology

Volume 7, Issue 8 (August 2017)

ISSN Print: 2161-7570   ISSN Online: 2161-7589

Google-based Impact Factor: 1.46  Citations  

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

HTML  XML Download Download as PDF (Size: 4896KB)  PP. 1188-1199  
DOI: 10.4236/ojg.2017.78079    1,352 Downloads   3,055 Views  Citations

ABSTRACT

Porosity and water saturations are the most important petrophysical parameters of hydrocarbon reservoirs that accurate assessment of them in hydrocarbon reservoirs is an effective tool, important and efficient for industry experts, in the context of a comprehensive study of reservoirs and production and management process of reservoir. In this study, using data from five wells of Mansuri oil field, and using the sequential simulation Gaussian method and using Petrel software, the trend of Porosity and water saturation changes in the mentioned field for four zones was simulated. Also the average maps for each zone have been created that results of the simulation parameters in this map showed that highest average porosity is 0.1401 and 0.2756 at least saturation of water is related to zone 1. Finally result of the simulation indicates the Zone 1 is of the best reservoir Zones.

Share and Cite:

Nezhad, H. and Tabatabaei, H. (2017) Simulation of Petrophysical Parameters of Asmari Reservoir Using SGS Method in Mansuri Oil Field, Southwest of Iran. Open Journal of Geology, 7, 1188-1199. doi: 10.4236/ojg.2017.78079.

Cited by

[1] Integrating facies analysis and geostatistical methods in an onshore oil field using petrophysical groups
Interpretation, 2023
[2] Estimating the 3-D spatial distribution of mechanical properties of rock by seismic data and well logs
Acta Geophysica, 2023
[3] 3D modelling and capacity estimation of potential targets for CO2 storage in the Adriatic Sea, Italy
Petroleum …, 2022
[4] Modeling of Horizontal Extent of Pay zone Layer on the Basis of Petrophysical Parameters Variations Using Indicator Kriging Method in one of the Southwest …
Iranian Journal of Petroleum …, 2020
[5] Modeling of Horizontal Extent of Payzone Layer on the Basis of Petrophysical Parameters Variations Using Indicator Kriging Method in one of the Southwest …
2019
[6] 3D MODELİNG OF POROSİTY İN SARVAK FORMATİON VİA GAUSSİAN SİMULATİON METHOD İN DEZFUL EMBAYMENT, A CASE STUDY.
2018

Copyright © 2025 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.