A new approach to heterogeneity analysis in a highly complex carbonate reservoir by using borehole image and conventiona
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A new approach to heterogeneity analysis in a highly complex carbonate reservoir by using borehole image and conventional log data Mehdi Tadayoni1 · Mahmoudreza Khalilbeyg2 · Radzuan Bin Junin1 Received: 5 January 2020 / Accepted: 8 June 2020 © The Author(s) 2020
Abstract This study outstretches a new method to specify the heterogeneity of the studied reservoir by combining BHI (Borehole Image Log) and conventional log data for 4 existing wells. The first step to achieve this goal was utilizing borehole electrical images to assess the quantity of vugs/modals fraction and porosity distribution. Spectrum porosity was calculated through probabilistic analysis based on core and FMI data which has specified two general types of porosity in studied field as primary porosity (microporosities and intercrystalline) and secondary porosity (vugs). Due to irregular dispersion, noncategorization, and scattering of the porosity–permeability graph obtained from laboratory core data, next step was using petrophysical image facies prediction for generating an electrical facies to incorporate the different reservoir quality. This lithology (litho types) is produced by BHI analysis which reflects geological and petrophysical properties of the field. Then a porosity–permeability cross-plot has been made based on core data and produced facies codes which build in the previous step to check the validity of BHI Facies code extraction. Finally, heterogeneity analysis has been done through an innovative step-by-step workflow to determine spectrum porosity log which is divided into 6 categories/portions as Resistive, Matrix, Isolated, Connected, Bed boundaries and Fractures porosity. Keywords Image log · Heterogeneity analysis · Borehole image · Facies codes · Carbonate reservoir
Introduction Most of the literature on reservoir characterization and petrophysics refers to reservoirs as being heterogeneous in nature. However, reservoir characterization researchers Electronic supplementary material The online version of this article (https://doi.org/10.1007/s13202-020-00930-4) contains supplementary material, which is available to authorized users. * Mehdi Tadayoni [email protected] Mahmoudreza Khalilbeyg [email protected] Radzuan Bin Junin r‑[email protected] 1
Faculty of Petroleum and Renewable Energy Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru, Malaysia
School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran
2
are currently beginning to investigate the quantification of assorted heterogeneities, and the concept of heterogeneity as a scale-dependent descriptor (Frykman 2001; Jennings and Lucia 2003; Pranter et al. 2005; Westphal et al. 2004). It is vital to fully comprehend the variability and distribution of petrophysical properties such as porosity and permeability throughout a reservoir. This is mainly correct in the case of carbonate reservoirs, which mostly have notable variability. Common reservoir heterogeneities inc
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