A new empirical model for enhancing well log permeability prediction, using nonlinear regression method: Case study from Hassi-Berkine oil field reservoir – Algeria

Author:

Belhouchet H.E.,Benzagouta M.S.,Dobbi A.,Alquraishi A.,Duplay J.

Publisher

Elsevier BV

Subject

General Engineering

Reference26 articles.

1. Al-Hajeri, M., et al., 2009. Basin and Petroleum System Modeling. Oilfield Review Summer 2009: 21, no. 2, 16.

2. 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. Society of Petroleum Engineers. doi:10.2118/26436-MS, 205-220.

3. Asquith, G., Gibson, C., 1983. Basic Well Logging Analysis for Geologists, AAPG Methods in Exploration Series number 3, Page 120. Tulsa, Oklahoma USA: “The American Association of Petroleum Geologists AAPG'’. 1982, Library of Congress. Schlumberger, Log Interpretation Principles/Applications, Schlumberger, Wirline & Testing, Houston Texas.

4. Identification of barriers and productive zones using reservoir characterization;Attia;Int. Adv. Res. J. Sci. Eng. Technol.,2015

5. Reservoir heterogeneities, in fractured fluvial reservoirs of the Buchan oilfield (Central North Sea);Benzagouta;Oil Gas Sci. Technol. – Rev. IFP,2001

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