Title: Fracture density estimation from well logs data using regression analysis: validation based on image logs (Case study: South West Iran)

Authors: Reza Taherdangkoo; Mohammad Abdideh

Addresses: Department of Petroleum Engineering, Omidiyeh Branch, Islamic Azad University, Omidiyeh, Iran; Department of Applied Geology, Geosciences Center, University of Göttingen, Goldschmidtstr. 3, D-37077 Göttingen, Germany ' Department of Petroleum Engineering, Omidiyeh Branch, Islamic Azad University, Omidiyeh, Iran

Abstract: Naturally fractured reservoirs represent a significant percentage of oil and gas plays throughout the world. Precise estimation of fracture density is an indubitable challenge in characterisation of fractured reservoirs. In this paper, a method based on regression analysis is applied to estimate fracture density in fractured zones from well logs data. For this purpose, all available petrophysical logs (Caliper, CGR, Uranium, RHOB, DT, NPHI, PEF and RT) plus additional fracture information from image logs are used. In order to develop an estimator with high capability of generalisation, linear and nonlinear regressions are used. The method was applied to four wells in Marun oilfield located in the south western of Iran. The estimation results demonstrate the effectiveness of the method.

Keywords: fracture density; regression analysis; petrophysical logs; fractured zone; Marun oilfield; Arabian plate; Zagros fold-thrust.

DOI: 10.1504/IJPE.2016.084117

International Journal of Petroleum Engineering, 2016 Vol.2 No.4, pp.289 - 301

Received: 20 Oct 2016
Accepted: 01 Jan 2017
Published online: 12 May 2017 *

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