Info: Zenodo’s user support line is staffed on regular business days between Dec 23 and Jan 5. Response times may be slightly longer than normal.

Published May 30, 2023 | Version CC BY-NC-ND 4.0
Journal article Open

Optimal Productivity Index from Gas Pay Zones with FAF Test

  • 1. Department of Petroleum & Mining Engineering, Shahid Bahonar University of Kerman-Iran.

Contributors

Contact person:

Researcher:

  • 1. Department of Petroleum & Mining Engineering, Shahid Bahonar University of Kerman-Iran.

Description

Abstract: Gas Condensate reservoirs are hydrocarbon liquid dissolved in saturated natural gas that comes out of solution when the pressure drops below the dew point. Condensate liquid saturation can build up near a well because of draw down below the dew point pressure, ultimately restricting the flow of gas. This phenomenon is called as "condensate blockage or banking". This improves the mobility of the gas with respect to the oil. If the gas does not have sufficient energy to carry the liquid to surface, then "liquid loading" in the wellbore occurs. If liquid falls back down the wellbore, the liquid percentage will increase and may eventually restrict the production that at this time. Besides, water-shutoff treatments in gas wells suffering from water influx are to reduce water production. In this paper it has been concluded that Artificial Lift technologies as the best selection in gas condensate reservoirs for more CGR recovery method can be used to solve this problem. To help this matter, as well, the Flow After Flow (FAF) well testing has been done for a gas condensate reservoir data to obtain some important outputs.

Files

B1915113223.pdf

Files (622.2 kB)

Name Size Download all
md5:d6010b6567841a3cbd000d58f9752e67
622.2 kB Preview Download

Additional details

Identifiers

DOI
10.54105/ijpe.B1915.053123
ISSN
2582-9297

Dates

Accepted
2023-05-30
Manuscript received on 30 April 2023 | Revised Manuscript received on 07 May 2023 | Manuscript Accepted on 15 May 2023 | Manuscript published on 30 May 2023

References

  • Agha Hassan Akram, et al. A Holistic Data Driven Approach for Condensate Recovery Factor Estimation in Gas Condensate Reservoirs. SPE-203372-MS.2020.
  • Arnold Landjobo Pagou, Xiaodong Wu. Liquid Film Mode for Prediction and Identification of Liquid Loading in Vertical Gas Wells. Paper Number: IPTC-19855-Abstract.2020. https://doi.org/10.2523/19855-Abstract
  • Ayesha Ahmed Alsaeedi, Well Performance Improvement By Identifying And Preventing Liquid Loading Using An Integrated Asset Operation Model Framework For Gas Condensate Wells. SPE-203233-MS.2020. https://doi.org/10.2118/203233-MS
  • Chris Carpenter,Liquid-Loading-Mitigation Strategies Maximize Recovery From Gas Reservoirs. SPE-0120-0057-JPT.2020. https://doi.org/10.2118/0120-0057-JPT
  • Chris Carpenter, The Philosophy of Enhanced Oil Recovery. J Pet Technol 72 (12): 43–44. Paper Number: SPE-1220-0043-JPT .2020. https://doi.org/10.2118/1220-0043-JPT
  • Chris Carpenter, Study Models Onset of Liquid Loading in Large-Diameter Deviated Gas Wells J Pet Technol 72 (11): 65–66. Paper Number: SPE-1120-0065-JPT. 2020. https://doi.org/10.2118/1120-0065-JPT
  • Duy Hoang Pham, Condensate Banking Characterization and Quantification of Improvement from Different Mitigations Using Pressure Transient Analysis. Paper Number: OTC-30142-MS. 2020.
  • Emilio Paulo dos Santos Sousa, sour gas well testing. SPE Annual Technical Conference and Exhibition, Paper Number: SPE-173470-STU. October 27–29, 2014.
  • Mahmoud El Morsy. Et al. CO2 Injection for Improved Recovery in Tight Gas Condensate Reservoirs. Paper presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition, Virtual, Paper Number: SPE-202363-MS. November 2020. https://doi.org/10.2118/202363-MS
  • Nampetch Yamali (U. of Texas Austin) et al. Optimum Control of Unwanted Water Production in Gas Reservoirs. SPE-106640-MS, 2007. https://doi.org/10.2118/106640-MS
  • Pimerol, J.C., Romero, S.B., Multi criteria decision in management: principles and practice. Kluwer Academic Publishers. 2000.
  • Ryo Iizuka, Monitoring and Modelling Condensate Banking Effects with the Ichthys Field Production Data. Paper presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition, Paper Number: SPE-202440-MS.2020. https://doi.org/10.2118/202440-MS
  • Rao, R.V. Decision making in the manufacturing environment: using graph theory and fuzzy multiple attribute decision making methods. Business & Economics. 2007.
  • Wendi Liu ; et al. Numerical Modeling and Optimization of Condensate Banking Treatment in the Hydraulic-Fractured Shale Gas Condensate Reservoir. Unconventional Resources Technology Conference, Houston, Texas, USA, Paper Number: URTEC-2902081-MS .July 2018.
  • A. Samir*, N. Ali, and S. Ali, "Gas Condensate Stabilization Methods: Optimum Operating Conditions," International Journal of Recent Technology and Engineering (IJRTE), vol. 8, no. 3., pp. 1643–1648, Sep. 30, 2019. doi: 10.35940/ijrte.c4430.098319. https://doi.org/10.35940/ijrte.C4430.098319
  • "Unconventional Gas Production from Hydraulically Fractured Well-An Application of Direct Search Based Optimization Algorithm," International Journal of Recent Technology and Engineering, vol. 8, no. 2S11., pp. 2726–2737, Nov. 02, 2019. doi: 10.35940/ijrte.b1334.0982s1119. https://doi.org/10.35940/ijrte.B1334.0982S1119
  • S. A. Gafoor et al., "Identification and Environmental Issues of Polluted Sea Water," International Journal of Engineering and Advanced Technology, vol. 9, no. 4., pp. 1528–1533, Apr. 30, 2020. doi: 10.35940/ijeat.d8353.049420. https://doi.org/10.35940/ijeat.D8353.049420