A New Method to Calculate Effective Permeability of a Naturally Fractured Carbonate Reservoir from Seismic Attributes
- D. Li (ZADCO) | M. S. Alharbi (ZADCO) | G. Ottinger (ZADCO) | R. T. El-Awawdeh (ZADCO) | P. Brunhuber (ZADCO) | S. M. Al-Jasmi (ZADCO)
- Document ID
- Society of Petroleum Engineers
- SPE Annual Technical Conference and Exhibition, 26-28 September, Dubai, UAE
- Publication Date
- Document Type
- Conference Paper
- 2016. Society of Petroleum Engineers
- 5.6.4 Drillstem/Well Testing, 5.5 Reservoir Simulation, 5.5.8 History Matching, 5 Reservoir Desciption & Dynamics, 5.6 Formation Evaluation & Management, 7.1.6 Field Development Optimization and Planning, 1.6.9 Coring, Fishing, 5.1 Reservoir Characterisation, 5.8 Unconventional and Complex Reservoirs, 5.8.7 Carbonate Reservoir, 1.6 Drilling Operations, 5.8.6 Naturally Fractured Reservoir, 7.1 Asset and Portfolio Management, 7 Management and Information
- Fracture, Modeling, Simulation, Permeability, Seismic
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- 91 since 2007
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Modeling permeability of naturally fractured reservoirs for simulation studies and field development planning is very challenging since the data required for characterizing the magnitude and distribution of reservoir fracture permeability is very limited. Fracture permeability is traditionally measured from cores and/or estimated from well tests. These estimations usually work adequately at well locations for permeability modeling but poorly between wells. Modeling fracture permeability distribution between wells and/or away from wells is a very important step to build a reliable reservoir simulation model for business needs.
This paper presents a new method/workflow for modeling effective permeability of a naturally fractured carbonate reservoir from seismic attributes. The new method directly converts fracture textures and distributions from seismic attributes into permeability for reservoir simulation. Core and log data are used to create fracture regions and the distribution of fracture density; well test data are applied to generate isotropic permeability; and seismic attributes (e.g., ant-tracks, curvature, and anisotropy) are utilized to model the fracture network and permeability anisotropy. New equations are created to calculate effective permeability of the reservoir by scaling up and down between core/well test and seismic data. Two history match parameters (fracture network connectivity and permeability anisotropy) are introduced to assist the history match process within the guidance of seismic and geologic data.
The new method/workflow has been successfully applied to solve the history match challenges of a naturally fractured reservoir in a Middle Eastern field for which no history matched model was achieved before. Applying the new method has significantly improved water movement matches in all producers of the field.
|File Size||25 MB||Number of Pages||15|
Anifowose, F.A., Abdulraheam, A., Al-Shuhail, A., and Schmitt, D.P. 2013. Improved Permeability Prediction from Seismic and Log Data using Artificial Intelligence Techniques. Presented at the SPE Middle East Oil and Gas Show and Conference held in Manama, Bahrain, 10-13 March. SPE-164465-MS. http://dx.doi.org/10.2118/164465-MS.
Dadashpour, M., Kleppe, J., and Landro, M. 2007. Porosity and Permeability Estimation by Gradient-Based History Matching Using Time-Lapse Seismic Data. Presented at the 15th SPE Middle East Oil & Gas Show and Conference held in Bahrain, 11-14 March 2007. SPE-104519-MS. http://dx.doi.org/10.2118/104519-MS.
Matarid, T., Afia, M.S., Al-Hossani, K.I., and Amer, M.M. 2012. Permeability Scalar from Seismic-Based Fracture Prediction. Presented at the Abu Dhabi International Petroleum Exhibition & Conference held in Abu Dhabi, UAE, 11-14 November. SPE-161318-MS. http://dx.doi.org/10.2118/161318-MS.
Matarid, T., Ibrahim, K., and Ibrahem, M.S. 2014. Permeability Multiplier Prediction using 3D OBC Seismic Data. Presented at the International Petroleum Technology Conference held in Doha, Qatar, 20-22 January. IPCT-17280-MS. http://dx.doi.org/10.2523/IPCT-17280-MS.
Shekhar, R. and Gibson, R. 2011. Generation of spatially correlated fracture models for seismic simulations. Geophysical Journal International. 185, 341–351. http://dx.doi.org/10.1111/j.1365-246X.2011.04937.x.
Tolstukhin, E., Lygnes, B., and Sudan, H.H. 2012. Ekofisk 4D Seismic – Seismic History Matching Workflow. Presented at the EAGE Annual Conference & Exhibition incorporating SPE Europe held in Copenhagen, Denmark, 4-7 June. SPE-154347-MS. http://dx.doi.org/10.2118/154347-MS.
Villegas, R., MacBeth, C., and Paydayesh, M. 2009. Permeability Updating of the Simulation Model Using 4D Seismic Data. Presented at the 2009 SPE/EAGE Reservoir Characterization and Simulation Conference held Abu Dhabi, UAE, 19-21 October. SPE-125632-MS. http://dx.doi.org/10.2118/125632-MS.