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Zoback, M.D., Barton, C.A., Brudy, M., Castillo, D.A., Finkbeiner, T., Grollimund, B.R., Moos, D.B., Peska, P., Ward, C.D. and Wiprut, D.J. (2003) Determination of Stress Orientation and Magnitude in Deep Wells. International Journal of Rock Mechanics and Mining Sciences, 40, 1049-1076. https://doi.org/10.1016/j.ijrmms.2003.07.001

has been cited by the following article:

• TITLE: Petrophysical Evaluation of a Severely Heterogeneous Carbonate Reservoir; Electrical Image Logs Usage in Porosity Estimation

  AUTHORS: Mohsen Ezati, Hedayat Olfati, Mojtaba Khadem, Mohammad Reza Yazdanipour, Aisan Mohammad

  KEYWORDS: Image Log, Porosity, Core Data, Dalan-Kangan Formations

  JOURNAL NAME: Open Journal of Geology, Vol.9 No.3, March 26, 2019

  ABSTRACT: Image logs have higher resolution than conventional logs and it makes them powerful tools for detailed reservoir characterization and modeling. Hence, thin beds, which are not detectable using conventional logs, can be characterized by image log data. The present study focuses on the Permian-Triassic carbonate reservoirs of Dalan and Kangan formations in one of the gas fields in southern Iran. In this study, the reservoir porosity was estimated using Fullbore Formation Microimager (FMI) image log. Then, the results were compared and validated with the core data. Porosity was estimated as 2-dimentional image by rescaling the FMI image log with Micro-Spherical Focused Log (MSFL). The image log-derived porosity was then compared with conventional logs-derived and core porosities. The image log-derived porosity is in good agreement with the core data. In this paper, a procedure was introduced which can be used to recognize very narrow pay layers (thickness in centimeters). This work is very important for identifying the proper perforation intervals in heterogeneous reservoirs.