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Miscible flooding Simulation feasibility Study for the Libyan oil reservoir Sarir Oil Field

Mohamed Hassan-A-Hashem

Πλήρης Εγγραφή


URI: http://purl.tuc.gr/dl/dias/A51E6E01-516F-4A57-8623-2DA552D323A3
Έτος 2018
Τύπος Μεταπτυχιακή Διατριβή
Άδεια Χρήσης
Λεπτομέρειες
Βιβλιογραφική Αναφορά Hassan-A-Hashem Mohamed, "Miscible flooding Simulation feasibility Study for the Libyan oil reservoir Sarir Oil Field", Master Thesis, School of Mineral Resources Engineering, Technical University of Crete, Chania, Greece, 2018 https://doi.org/10.26233/heallink.tuc.74102
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Περίληψη

This work aims to study whether CO2 Miscible flooding could enhance the oil recovery inSarir oil Field. The Peng-Robinson equation is tuned and validated against experimental data.The PVT data that was used in the study includes compositional analysis, differentialliberation test data, constant composition expansion test data, separator test data and viscositydata. The Actions that have been taken to build a reliable EOS are as the following:1. An EoS model was tuned against the PVT data. Several approaches were tried untilthe best possible match was achieved……, etc2. The Miscibility option of the Winprop software was tried3. The slim tube option of the PVTP software was tried4. The 1-D reservoir model was built using the Reveal simulatorThe critical properties of the heavy end PC, Tc, AC, MW+ volume of shift and Kij valuesbetween methane CH4 and heavy ends were the best candidates for tuning the developed Eos models against experimental data.Cell to cell simulation calculation was performed to asses and estimate the minimummiscibility pressure by using the EOS and these results were compared against actualexperimental value of MMP. The results have shown that the CO2 is immiscible with SarirOil at reservoir condition 225F and 3300Psig.The MMP was estimated to be at 5047 Psig with an error of 37% from the experimental value. The Slim tube option in PVTP has shown unrealistic results therefore this option has been evaluated in terms of both limitations and accuracies . This has been done by building 1-D slimtube model using Reveal.The simulation of the slimtube experiment using 1-D model has been developed to validate the laboratory experiment and used EOS as well as to investigate the possibility of serving asa fast and reliable tool for MMP determination. Sensitivity analyses were performed bytesting different grid block sizes (a different number of cells). A model with 150 cells has been chosen as the optimum model. The results of slim tube model has shown a comparable results with lab experiment results for both minimum miscibility pressure MMP calculation and Oil Recovery Where the marginal Error between the two data was about 9% for the MMP and 2% for Oil Recovery .

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