Permeability Index Calculation Using Dipole Sonic Log and its Calibration with the Core Data in Karanj Oilfield, Southwest of Iran

Kordzangeneh, Alireza; Habibnia, Bahram; Akbari, Majid

doi:10.22050/ijogst.2023.331104.1628

Permeability Index Calculation Using Dipole Sonic Log and its Calibration with the Core Data in Karanj Oilfield, Southwest of Iran

Document Type : Research Paper

Authors

Alireza Kordzangeneh ¹

Bahram Habibnia ²

Majid Akbari ³

¹ 1M.S. Student, Department of Petroleum Engineering, Petroleum University of Technology, Abadan, Iran

² Associate Professor in Petroleum Geology, Department of Exploration Engineering, Petroleum University of Technology, Abadan, Iran

³ Assistant Professor, Petroleum University of Technology, Abadan, Iran

https://doi.org/10.22050/ijogst.2023.331104.1628

Abstract

Permeability is one of the most significant petrophysical parameters of reservoir rock, and its accurate, inexpensive, and rapid estimation is essential. One of the methods for the permeability analysis is the Stoneley flow zone index method. In this study, this method was used to estimate the permeability. For this purpose, after processing the Stoneley waves in the studied well by Paradigm Geolog software, the permeability index was calculated based on Stoneley wave slowness. Then, by optimizing this index with default values of the flow zone index matching factor (IMF), the flow zone index was calculated, and the permeability value was estimated based on that index. Some parameters required for these calculations, such as porosity, type, and volume of minerals, were determined based on the complete set log analysis and with the help of cross-plots. Finally, these results were compared with the core data to validate the obtained permeability data, and the IMF values were customized for the studied field. The results indicated that the primary lithology of the Asmari formation in the studied well was carbonate rock with a small amount of shale. The customized IMF values for calcite, dolomite, anhydrite, and shale were 11.93, 10.53, 0, and 0, respectively. The correlation coefficient between Stoneley-flow zone index permeability and core permeability was 0.79. Therefore, according to this good correlation, this method can be used to estimate permeability, especially in wells without core data.

Highlights

Conventional logs were used to evaluate the Asmari formation and calculate the petrophysical parameters required to estimate the permeability.
Several cross-plots were used to identify the mineralogical composition of the carbonate rocks.
The permeability of the Asmari formation was calculated using the Stoneley–flow zone index (ST–FZI) method.

The results showed that the ST–FZI permeability was highly correlated with the core permeability data

Keywords

Permeability Index

ST–FZI Permeability

Stoneley Wave Slowness

Karanj Oilfield

Subjects

Petroleum Engineering – Exploration

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