Geostatistical evaluation of well logs in reservoir charachterization in Azeri-Chirag-Guneshli field

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2013

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Rzazade, Rahim

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The Azeri-Chirag-Guneshli (ACG) field is situated offshore of Caspian Sea Azerbaijan sector. It is an elongated anticline in structure and the reservoir section consists of mainly sandstone. Recoverable reserves are calculated to be 5.4 bbl of oil (Binyatov 2008). Sedimentary environment corresponding to this region is mainly fluvio-deltaic. The main aim of this study is to obtain better understanding of two main prolific hydrocarbon reservoir Pereriv B and Pereriv D by integration of well logs and core data. Moreover, flow unit determination was also very important point of this study. The work represents a petrophysical-based method that uses well loggings and core plug data to delineate flow units within the most productive sandstone reservoir in Azeri-Chirag-Guneshli field. Nine wells are avaliable for this work and 6 of them have core data.Geostatistical methods such as histogram analsis and principal component analysis have been used for each formation. Based on well log data petrophysical parameters such as porosity, volume of shale, saturations have been estimated and they are integrated with core plug data. From the well logs it was obtained that the both Pereriv B and Pereriv D formations have high NTG ratio.Moreover, one flow unit have been determined within a Pereriv B formation based on core data such as porosity, permeability and proe throart size. These parameters was observed to be high in flow unit. Moreover, histogram and Principal Component Analysis showed that Pereriv B and Pereriv D formations are similar to each other. Although the statistical methods could not find any new flow unit but the studies gave a good result in comparision of two different formations.

Subject Keywords

Oil wells., Oil well logging., Oil reservoir engineering., Geology

URI

http://etd.lib.metu.edu.tr/upload/12616094/index.pdf
https://hdl.handle.net/11511/22676

Collections

Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

R. Rzazade, “Geostatistical evaluation of well logs in reservoir charachterization in Azeri-Chirag-Guneshli field,” M.S. - Master of Science, Middle East Technical University, 2013.