Geostatistical modeling and spatial distribution analysis of porosity and permeability in the Shurijeh-B reservoir of Khangiran gas field in Iran
dc.contributor.author | Hosseini, E. | |
dc.contributor.author | Gholami, Raoof | |
dc.contributor.author | Hajivand, F. | |
dc.date.accessioned | 2019-02-19T04:15:44Z | |
dc.date.available | 2019-02-19T04:15:44Z | |
dc.date.created | 2019-02-19T03:58:18Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Hosseini, E. and Gholami, R. and Hajivand, F. 2018. Geostatistical modeling and spatial distribution analysis of porosity and permeability in the Shurijeh-B reservoir of Khangiran gas field in Iran. Journal of Petroleum Exploration and Production Technology. 9 (2): pp. 1051-1073. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/74093 | |
dc.identifier.doi | 10.1007/s13202-018-0587-4 | |
dc.description.abstract |
The main objectives of this study are analysis of spatial behavior of the porosity and permeability, presenting direction of anisotropy for each variable and describing variation of these parameters in Shurijeh B gas reservoir in Khangiran gas field. Porosity well log data of 32 wells are available for performing this geostatistical analysis. A univariate statistical analysis is done on both porosity and permeability to provide a framework for geostatistical analysis and modeling. For spatial analysis of these parameters, the experimental semivariogram of each variable in different direction as well as their variogram map plotted to find out the direction of anisotropy and their geostatistical parameters such as range, sill, and nugget effect for later geostatistical work and finally for geostatistical modeling, two approaches kriging and Sequential Gaussian Simulation are used to get porosity and permeability maps through the entire reservoir. All of statistical and geostatistical analysis has been done using GSLIB and PETREL software. Maximum and minimum direction of continuity are found to be N75W and N15E, respectively. Geostatistical parameters of calculated semivariogram in this direction like range of 7000 m and nugget of 0.2 are used for modeling. Both kriging and SGS method used for modeling but kriging tends to smooth out estimates but on the other hand SGS method tends to show up details. Cross-validation also used to validate the generated modeling. | |
dc.publisher | SpringerOpen | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.title | Geostatistical modeling and spatial distribution analysis of porosity and permeability in the Shurijeh-B reservoir of Khangiran gas field in Iran | |
dc.type | Journal Article | |
dcterms.source.issn | 2190-0558 | |
dcterms.source.title | Journal of Petroleum Exploration and Production Technology | |
curtin.department | Curtin Malaysia | |
curtin.accessStatus | Open access |