Permeability Prediction Using Hydraulic Flow Units: Baltim North Gas Field, Nile Delta, Egypt
- 1 Department of Geophysics, Ain Shams University, Cairo, Egypt
- 2 Belayim Petroleum Company, Nasr City, Cairo, Egypt
- 3 Egyptian Petroleum Research Institute, Department of Core analysis, Nasr City, Egypt
Abstract
168 core samples data of two production wells in the Baltim North field were used to identify the complex discrepancies in reservoir pore geometry which governing the Abu Madi reservoir fluid flow properties. Permeability prediction from well logs is significant goal when the core data is rarely available in most cases because of its expensive cost. The hydraulic flow unit approach was used to classify reservoir rocks according to its pore aperture size in the cored wells. The predicted permeability was calculated from core porosity and core permeability relationship for each flow unit. The difference between Neutron porosity and Density porosity was recognized to distinguish different hydraulic flow units. The higher difference indicates higher quality flow unit and vice versa. For model’s verification the predicted permeability was plotted against the laboratory measured permeability in all studied wells and shows highly matching.
- El Sayed, A.M.A., Samy, Z., Lala, A. M. S., El Sayed, N.A. and Salah, A. (2020) Petrophysical Properties and Permeability Prediction for the Abu Madi Formation, Baltim North Gas Field, Nile Delta, Egypt. International Journal of Engineering Research and Development, 16, 15-36.
- El Heiny, I., Rizk, R. and Hassan, M. (1990) Sedimentological Mode for Abu Madi Reservoir Sands, Abu Madi Field, Nile Delta, Egypt. The 10th Petroleum Exploration Conference, Cairo, 515-551.
- Amaefule, J.O., et al. (1993) Enhanced Reservoir Description: Using Core and Log Data to Identify Hydraulic (Flow) Units and Predict Permeability in Uncored Intervals/Wells. SPE Annual Technical Conference and Exhibition, Houston, October 1993, 205-220. https://doi.org/10.2118/26436-MS
- Gunter, G.W., et al. (2014) Winland Pore Throat Prediction Method—A Proper Retrospect: New Examples from Carbonates and Complex Systems. SPWLA 55th Annual Logging Symposium, Chicago, 18-22 May 2014..
- Li, Y.Y., et al. (2015) Reservoir Classification and Evaluation Methods Based on R35 Pore Throat Radius. International Conference on Industrial Electronics and Applications, Shanghai, September 2015, 175-179. https://doi.org/10.2991/iea-15.2015.43
- Aguilera, R. (2002) Incorporating Capillary Pressure, Pore Aperture Radii, Height above Free Water Table, and Winland r35 Values on Pickett Plots. AAPG Bulletin, 86, 605-624. https://doi.org/10.1306/61EEDB5C-173E-11D7-8645000102C1865D
- El Sayed, A.M.A. (1981) Geological and Petrophysical Studies for the Algyo-2 Reservoir Evaluation, Algyo Oil and Gas Field. Ph.D. Thesis, Hungarian Academy of Sciences, Budapest, p.166.
- El Sayed, A.M.A. (2011) Thermophysical Study of Sandstone Reservoir Rocks. Journal of Petroleum Science and Engineering, 76, 138-147 https://doi.org/10.1016/j.petrol.2011.01.001
- El Sayed, A.M.A. and El Sayed, N.A. (2019) Thermal Conductivity Calculation from P-Wave Velocity and Porosity Assessment for Sandstone Reservoir Rocks. Geothermics, 82, 91-96 https://doi.org/10.1016/j.geothermics.2019.06.001
- El Sayed A.M.A. and El Sayed, N.A. (2016) Petrophysical Properties of Clastic Reservoirs Using NMR Relaxometry and Mercury Injection Data: Bahariya Formation, Egypt. International Journal of Geophysics and Geochemistry, 3, 28-32.
- Huang, H., Sun, W., Ji, W., Chen, L., Jiang, Z., Bai, Y., Tang, X., Du, K., Qu, Y. and Ouyang, S. (2018) Impact of Laminae on Gas Storage Capacity: A Case Study in Shanxi Formation, Xiasiwan Area, Ordos Basin, China. Journal of Natural Gas Science and Engineering, 60, 92-102. https://doi.org/10.1016/j.jngse.2018.09.001