A new approach to heterogeneity analysis in a highly complex carbonate reservoir by using borehole image and conventional log data

• Main Authors: Tadayoni, Mehdi, Khalilbeyg, Mahmoudreza, Junin, Radzuan
• Format: Article
• Language: English
• Published: Springer 2020
• Subjects: TP Chemical technology
• Online Access: http://eprints.utm.my/id/eprint/89890/1/RadzuanJunin2020_ANewApproachtoHeterogeneityAnalysis.pdf; http://eprints.utm.my/id/eprint/89890/; http://dx.doi.org/10.1007/s13202-020-00930-4

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, non-categorization, 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.