Estimation of wettability using NMR core analysis and well logging data in one of the reservoirs in southern Iran: a case study

Authors

Shahrood University of Technology, Faculty of Mining, Petroleum and Geophysics Engineering, Shahrood, Iran

Abstract

The main objective of this research is to investigate the correlation and integration between wettability data, well logging, and Nuclear Magnetic Resonance (NMR) in the Shu'aiba formation at depths of 1708 to 1845 meters in one of the oil wells in the Persian Gulf. The data used includes well logging records and 10 NMR core samples, with 5 samples having Mercury Injection Capillary Pressure (MICP) data and the other 5 used for validation with United States Bureau of Mines (USBM) data. This study employs a combined method based on MICP laboratory data analysis, J-function, and NMR and well logging data to qualitatively predict reservoir wettability. Despite various studies in this field, this research aims to effectively utilize limited available data and predict wettability in surrounding wells using analytical and integrative methods to extract useful information on a larger scale. Data limitations include conventional well logging charts, MICP, USBM, and NMR data from only 5 points in the well. These data were used to validate and generalize new methods presented in previous studies. Initially, relationships for capillary pressure using NMR and neutron and gamma porosity logs were derived from MICP laboratory results. USBM laboratory results were then used to validate these relationships. The qualitative wettability of the studied formation was found to be neutral, consistent with USBM test results. The findings indicate that the estimated wettability is reliable and can be used in the industry to determine wettability in conditions with limited laboratory data.

Keywords

References

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Volume 8, Issue 4
October 2030
Pages 301-313

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