Prediction of Hydraulic Flow Units for Jeribe Reservoir in Jambour Oil Field Applying Flow Zone Indicator Method
DOI:
https://doi.org/10.31699/IJCPE.2023.2.7Keywords:
Jeribe reservoir, Flow Zone Indicator, Jambour oil field, Hydraulic Flow Units, Permeability PredictionAbstract
The Jeribe reservoir in the Jambour Oil Field is a complex and heterogeneous carbonate reservoir characterized by a wide range of permeability variations. Due to limited availability of core plugs in most wells, it becomes crucial to establish correlations between cored wells and apply them to uncored wells for predicting permeability. In recent years, the Flow Zone Indicator (FZI) approach has gained significant applicability for predicting hydraulic flow units (HFUs) and identifying rock types within the reservoir units.
This paper aims to develop a permeability model based on the principles of the Flow Zone Indicator. Analysis of core permeability versus core porosity plot and Reservoir Quality Index (RQI) - Normalized porosity log-log plot reveals the presence of three distinct Hydraulic Flow Units and corresponding rock types within the Jeribe reservoir. These rock types can be identified if known. The reservoir can be divided into three groups of rock types, namely good, moderate, and bad quality. The bad rock type represents a restricted section within the reservoir, while the upper and lower parts predominantly consist of moderate-quality rock types. Conversely, the central section of the reservoir exhibits a good-quality rock type.
By utilizing the Flow Zone Indicator principles, this study provides valuable insights into the hydraulic flow behavior and rock types present in the Jeribe reservoir. The proposed permeability model derived from this method can aid in predicting permeability values for uncored wells, contributing to a better understanding of the reservoir's heterogeneity and facilitating reservoir characterization and management decisions.
Received on 03/10/2022
Received in Revised Form on 27/12/2022
Accepted on 03/01/2023
Published on 30/06/2023
References
Man, H.Q.; Jarzyna, J. Integration of Core, Well Logging and 2D Seismic Data to Improve a Reservoir Rock Model: A Case Study of Gas Accumulation in the NE Polish Carpathian Foredeep. Geol. Q.,2013, 57, pp. 289–306. https://doi.org/10.7306/gq.1091
Abed A. A., Hamd-Allah S. M. “Comparative Permeability Estimation Method and Identification of Rock Types using Cluster Analysis from Well Logs and Core Analysis Data in Tertiary Carbonate Reservoir-Khabaz Oil Field”, Journal of Engineering, College of Engineering, University of Baghdad, Vol. 22, No. 12,2019, pp. 49-61. https://doi.org/10.31026/j.eng.2019.12.04
Mehdi Bagheripour Haghighi and Mehdi Shabaninejad, “A permeability Predictive Model Based on Hydraulic Flow Unit for One of Iranian Carbonate Tight Gas Reservoir”, SPE Middle East Unconventional Gas Conference and Exhibition held in Muscat, Oman, January-February 2011. https://doi.org/10.2118/142183-MS
Al-Dulaimi, S. “Biostratigraphy of Qamchuqa Formation in Jambur Oil Field in Kirkuk Area”, Journal of University of Babylon for Pure and Applied Sciences, Vol.28, 2020, pp. 216-242.
Abdula, R. A., Nourmohammadi, M. S., Rashed, G. R., Saleh, N. Q., “Petrographical and Microfacies Study of Jeribe Formation (M. Miocene) in Ashdagh Mountain, Kurdistan Region, Iraq”. Iraqi Bulletin of Geology and Mining Journal, Vol. 13, No.1, 2017, pp. 107 – 118.
Samaher A. L., Sameera M. Hamd-Alla, and Ali H. J., “Permeability Estimation for Carbonate Reservoir (Case Study/ South Iraqi Field)”, Iraqi Journal of Chemical and Petroleum Engineering, College of Engineering, University of Baghdad, Vol. 19, No. 3,2018, pp. 41-45. https://doi.org/10.31699/IJCPE.2018.3.5
Baker, H. A., AL-Jawad, S. N., Murtadha, Z. I., “Permeability Prediction in Carbonate Reservoir Rock Using FZI”. Iraqi Journal of Chemical and Petroleum Engineering, Vol. 14, No. 3, 2013, pp. 49-54.
Kumar, N., Hughes, B., and Frailey, S. M., “Using well logs to infer permeability: Will there ever be a permeability log?”, roceedings of the Annual Southwestern Petroleum Short Course, 288-298, 2001.
Abdul Majeed, Y. N., Ramadhan, A. A., Mahmood, A. J., “Comparing between permeability prediction by using classical and FZI methods/Tertiary Reservoir in Khabaz Oil Field / Northern Iraq”. Iraqi Journal of Oil & Gas Research, Vol. 2, No. 1, 2022. https://doi.org/10.55699/ijogr.2022.0201.1015
Waffa M. Al-Qattan, Ahmed H. Al Mohammed. “Permeability Prediction by Classical and Flow Zone Indictor (FZI) Methods for an Iraqi Gas Field”, Iraqi Journal of Chemical and Petroleum Engineering, Vol. 18, No. 3, 2017, pp. 59-65.
Salman, O., Hasan, O. F., Al-Jawad, S., “Permeability Prediction in One of Iraqi Carbonate Reservoir Using Statistical, Hydraulic Flow Units, and ANN Methods”. Iraqi Journal of Chemical and Petroleum Engineering, Vol. 23, No. 4, 2022, pp. 17-24. https://doi.org/10.31699/IJCPE.2022.4.3
Abdulelah, H., Mahmood, S., Hamada, G., “Hydraulic flow units for reservoir characterization: A successful application on arab-d carbonate”. In IOP Conference Series: Materials Science and Engineering, Vol. 380, No. 1, 2018, p. 012020. IOP Publishing. https://doi.org/10.1088/1757-899X/380/1/012020
Hmeed, M. R. A., Hamd-Allah, S. M., “Studying the Effect of Permeability Prediction on Reservoir History Matching by Using Artificial Intelligence and Flow Zone Indicator Methods”. The Iraqi Geological Journal, Vol. 56, No. 1E, 2023, pp. 9-21. https://doi.org/10.46717/igj.56.1E.2ms-2023-5-12
El Sharawy, M. S., “Petrophysical Characteristics of the Nubia Sandstone Along the B –Trend, Southern Gulf of Suez, Egypt, Based on the Hydraulic Flow Units Concept”. Journal of Applied Sciences Research, Vol. 9, No.7, 2013, pp. 4271-4287.
Svirsky, D., A. Ryazanov, M. Pankov, P. Corbett, A. Posysoev. “Hydraulic flow units reservoir description challenges in Siberian oil field”. SPE 87056,2004, pp.15. https://doi.org/10.2118/87056-MS
Al-Ajmi, Fahad A., Aramco, Saudi, and Stephen A. Holditch. "Permeability Estimation Using Hydraulic Flow Units in a Central Arabia Reservoir." SPE Annual Technical Conference and Exhibition, Dallas, Texas, October 2000. https://doi.org/10.2118/63254-MS
Hector H. Perez, Akhil Datta –Gupta, (2003), “The Role of Electrofacies, Lithfacies, and Hydraulic Flow Units in Permeability Predictions from Well Logs: A Comparative Analysis Using Classification Trees”, SPE Res Eval & Eng 8 (02): 143–155. https://doi.org/10.2118/84301-PA
Uguru, C. I., Onyeagoro, U. O., Lin, J., Okkerman, J., and I. O. Sikiru. "Permeability Prediction Using Genetic Unit Averages of Flow Zone Indicators (FZIs) and Neural Networks." Nigeria Annual International Conference and Exhibition, 2005. https://doi.org/10.2118/98828-MS
Mohammed B. Alsinbili, Sameer N. Aljawad, Ammar A. Aldalawy. “Permeability Prediction of Un-Cored Intervals Using FZI Method and Matrix Density Grouping Method: A Case Study of Abughirab Field/Asmari FM., Iraq”, Iraqi Journal of Chemical and Petroleum Engineering, Vol. 14, No. 4, 2013, pp. 27-34.
Dahlia A. Alobaidi. “Permeability Prediction in One of Iraqi Carbonate Reservoir Using Hydraulic Flow Units and Neural Networks”, Iraqi Journal of Chemical and Petroleum Engineering, Vol. 17, No. 1, 2016, pp. 1-11.
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Iraqi Journal of Chemical and Petroleum Engineering
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.