Study of hydraulic flow units using static modeling in upper Surmeh Formation (Arab) in one oil field in south of Iran

Authors

  • Fariba Abdi PhD Student, Department of Geology, Science and Research Branch, Islamic Azad University, Tehran, Iran
  • Mohammadreza Kamali Professor, Research and Development of Upstream Petroleum Industry Paradise, Research Institute of Petroleum industry, Tehran, Iran
  • Mohsen Aleali Assistant Professor, Department of Geology, Science and Research Branch, Islamic Azad University, Tehran, Iran
  • Ali Kadkhodaie Associate Professor, Department of Geology, Faculty of Natural Sciences, Tabriz University, Tabriz, Iran

Keywords:

Flow Zone Indicator, Hydraulic Flow Units, Sequential Index Simulation, Static Model

Abstract

Main purpose of this study is to determine the spatial distribution of the field’s petrophysical parameters, including porosity and permeability by determining and identifying the hydraulic flow units. By identifying hydraulic flow units as well as rock types and investigating the distribution of porosity and permeability variables, it is possible to classify areas of good quality and suitable reservoir.

It is worth to mention that porosity and permeability relationships can be used to identify flow units for evaluation of reservoir quality. Therefore in the present study, after determining the Hydraulic Flow Units (HFU) by the probability diagram of the normal logarithm of Flow Zone Indicators (FZI), based on continuous variable of FZI, and using the results of six wells from the upper Surmeh formation in the subject oilfield, a 3D static model of reservoir is developed. During development of this model, Sequential Index Simulation (SIS) method is used. Under the developed model, the probable distribution of these parameters for each cell and distribution of these parameters in reservoir are calculated and the areas with high reservoir quality are determined.

Therefore the results of this research not only can be used to determine the superior reservoir area in the field, but also can be applied for reservoir zoning in terms of reservoir quality / potential and or development of a dynamic model, and or similar activities.

References

Abbaszadeh.M. & Fujii.H. & Fujimoto.F. (1996). Permeability Prediction by Hydraulic Flow Units- Theory and Applications, SPE Formation Evaluation, l l, 263-271. 2,4,5

Amaefule.J. & Alunbay & Tiab. D. & Kersey. M. & Keelan, D.K. (1993). Enhanced reservoir description: using core and log data to identify hydraulic (flow) units and predict permeability in uncored intervals/wells. SPE Paper 26436, 1-16. 2,4,5

Aminzadeh, A. & Mirdzhordvay N. & Nouri Taleghani, M. (2014). Static Modeling of Oil and Gas Tanks and Seismic Interpretation Using the Software of Petrel, 304 pages. 8.

Amirkafee, M.A. (2014). Determining hydraulic flow units using intellectual geostatistical method in Salman field. M.S Thesis, 147 pp. 4.

Bordenave, M.L. (2014). Petroleum system and distribution of the oil and gas fields in the Iranian part of the Tethyan region, AAPG memoir 106, 505-540 pp. 3.

Deutsch, C.V. (2002). GSLIB Geostatistical Software Library and User's Guide, Second Edition. 8.

Dubrule ,O. (2003). “Geostatistics for Seismic Data Integration in Earth Models”, Distinguished Instructor Short Course, Distinguished Instructor Series, No.6. 8.

Fahad, A. & Al-Ajmi & Holditch, A. (2000). Permeability estimation using hydraulic flow units in a central Arabia reservoir, SPE 63254. 2

Gunter, G. W. & Eptg, J. M. & Finneran, D.J. & Hartmann. (1997). Early determination of reservoir flow units using an integrated petrophysical method. SPE P.38679. 4.

Kadkhodaie, A. & Amini, A, (2009). A fuzzy logic approach to estimating hydraulic flow units from well log data, Journal of Petroleum Geology, Vol. 32, pp 67-78. 5,7.

Konyuhov, A.I. & Maleki, B. (2006). The Persian Gulf Basin: Geological history, sedimentary formations, and petroleum potential, Lithology and Mineral Resources, Volume 41, Issue 4, 344-361 pp. 3.

Noorian, Y. & Moussavi Harami, R. & Mahboubi, A. & Kadkhodaie, A. & Abdolahi Mousavi, A.A. (2015), Rock typing using hydraulic flow units and Clustering Methods, Scientific Quarterly Journal, GEOSCIENCES, Vol. 24, No.95. 7.

Ohen, A. & Ajufo, H. & Curby, A. (1995). A hydraulic flow unit based model for the determination of petrophysical properties from NMR relaxation measurements, SCA Conference Paper Number 9514. 2.

Osario Peralta, O. (2009). Rock Types and Flow Units in Static and Dynamic Reservoir Modeling: Application to Mature Fields, SPE 122227. 2, 5.

Payamani, K. & Kadkhodaie, A. & Hamdi, B. & Rashidinejad, A. (2014). 3D modeling of porosity and permeability using geomagnetic methods in one of the Gulf gas fields of the Persian Gulf: Advanced Journal of Advanced Geology, No. 9, Autumn 92, 20. 8.

Rabbani, A.R. (2013). Petroleum geology and geochemistry of the persian gulf, 576 pp. 3.

Skalinski, M. & Kenter, J. (2014). Carbonate petrophysical rock typing: integrating geological attributes and petrophysical properties while linking with dynamic behavior, Geological Society, London, Special Publications, doi 10.1144/SP406.6. 2.

Svirsky, D. & Ryazanov, A. & Pankov, M. & Corbett, P. & Posysoev, A. (2004). Hydraulic Flow Units Resolve Reservoir Description Challenges in a Siberian Oil Field, SPE 87056. 2.

Tiab,D. & Donaldson,E. (2012). “Petrophysics, Theory and Practice of Measuring Reservoir Rock and Fluid Transport Properties”,Third edition. Gulf Professional Publishing, p 120-128. 4.

Xiang-Yun, J. & Zhi-Zhang, W. & Sheng-he, W. (2006). 3D Reservoir Modeling and its Application, China University of Petroleum Beiging, China. 2.

Xuequan, T. & Peiqing, L. & Maojun, Q. & Yanhua, L. & Guanggwei, D. (2013). Rock type-constrained geological modeling of carbonate reservoirs, Oil and Gas Geology , Vol. 34, Issue 4, 558-563pp. 2.

Downloads

Published

20-01-2020

Issue

Section

Earth & Environment