Fracture density estimation from well logs data using regression analysis: validation based on image logs (Case study: South West Iran)
by Reza Taherdangkoo; Mohammad Abdideh
International Journal of Petroleum Engineering (IJPE), Vol. 2, No. 4, 2016

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.

Online publication date: Fri, 12-May-2017

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