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Naveshki, Mohammad, Naghiei, Ali, Soltani Tehrani, Pezhman, Ahmadi Alvar, Mehdi, Ghorbani, Hamzeh, Mohamadian, Nima, Moghadasi, Jamshid. (1400). Prediction of Bubble Point Pressure Using New Hybrid Computational Intelligence Models. , 55(2), 203-222. doi: 10.22059/jchpe.2021.314719.1341
Mohammad Naveshki; Ali Naghiei; Pezhman Soltani Tehrani; Mehdi Ahmadi Alvar; Hamzeh Ghorbani; Nima Mohamadian; Jamshid Moghadasi. "Prediction of Bubble Point Pressure Using New Hybrid Computational Intelligence Models". , 55, 2, 1400, 203-222. doi: 10.22059/jchpe.2021.314719.1341
Naveshki, Mohammad, Naghiei, Ali, Soltani Tehrani, Pezhman, Ahmadi Alvar, Mehdi, Ghorbani, Hamzeh, Mohamadian, Nima, Moghadasi, Jamshid. (1400). 'Prediction of Bubble Point Pressure Using New Hybrid Computational Intelligence Models', , 55(2), pp. 203-222. doi: 10.22059/jchpe.2021.314719.1341
Naveshki, Mohammad, Naghiei, Ali, Soltani Tehrani, Pezhman, Ahmadi Alvar, Mehdi, Ghorbani, Hamzeh, Mohamadian, Nima, Moghadasi, Jamshid. Prediction of Bubble Point Pressure Using New Hybrid Computational Intelligence Models. , 1400; 55(2): 203-222. doi: 10.22059/jchpe.2021.314719.1341

Prediction of Bubble Point Pressure Using New Hybrid Computational Intelligence Models

Journal of Chemical and Petroleum Engineering
مقاله 2، دوره 55، شماره 2، اسفند 2021، صفحه 203-222    اصل مقاله (1.22 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jchpe.2021.314719.1341
نویسندگان
Mohammad Naveshki1؛ Ali Naghiei2؛ Pezhman Soltani Tehrani3؛ Mehdi Ahmadi Alvar4؛ Hamzeh Ghorbani* 5؛ Nima Mohamadian6؛ Jamshid Moghadasi7
1Department of Petroleum Engineering, Sahand University of Technology, Tabriz, Iran
2Faculty of Engineering, University of Garmsar, Garmsar, Iran
3Department of Petroleum Engineering, Kish International Campus, University of Tehran, Kish, Iran
4Department of computer Engineering, Faculty of Engineering, , Shahid Chamran University, Ahwaz, Iran
5Young Researchers and Elite Club, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
6Young Researchers and Elite Club, Omidiyeh Branch, Islamic Azad University, Omidiyeh, Iran
7Department of Petroleum Engineering Petroleum Industry University, Ahvaz, Iran
چکیده
Determining BPP is one of the critical parameters for the development of oil and gas reservoirs and have this parameter requires a lot of time and money. As a result, this study aims to develop a new predictive model for BPP that uses some available input variables such as solution oil ratio (Rs), gas specific gravity (γg), API Gravity (API). In this study, two innovatively combined hybrid algorithms, DWKNN-GSA and DWKNN-ICA, are developed to predict BPP. The outcomes of the study show the models developed are capable of predicting BPP with promising performance, where the best result was achieved for DWKNN-ICA (RMSE = 0.90276 psi and R2 = 1.000 for the test dataset). Moreover, the performance comparison of the developed hybrid models with some previously developed models revealed that the DWKNN-ICA outperforms the former empirical models with respect to perdition accuracy. In addition to presenting new techniques in the present study, the effect of each of the input parameters on BPP was evaluated using Spearman's correlation coefficient, where the API and Rs have the lowest and the highest impact on the BPP.
کلیدواژه‌ها
Bubble Point Pressure Prediction؛ DWKNN-ICA؛ Hybrid Computational Intelligence؛ DWKNN-GSA؛ Machine Learning
مراجع
  1. El-Banbi A, Alzahabi A, El-Maraghi A. PVT Property Correlations: Selection and Estimation. Gulf Professional Publishing; 2018 Apr 20.
  2. Talebi R, Ghiasi MM, Talebi H, Mohammadyian M, Zendehboudi S, Arabloo M, Bahadori A. Application of soft computing approaches for modeling saturation pressure of reservoir oils. Journal of Natural Gas Science and Engineering. 2014 Sep 1;20:8-15. 
  3. Macary S, El-Batanoney M. Derivation of PVT correlations for the Gulf of Suez crude oils. Journal of the Japan Petroleum Institute. 1993. 36(6):472-478. 
  4. Chaudhary AS, Ehlig-Economides CA, Wattenbarger RA. Shale oil production performance from a stimulated reservoir volume. SPE Annual Technical Conference and Exhibition.  2011.
  5. Soliman AA, Attia AM, Abdelwahab MH. Development of new models for predicting crude oil bubble point pressure, oil formation volume factor, and solution gas-oil ratio using genetic algorithm. Journal of Petroleum and Mining Engineering. 2020 Dec 1;22(2):17-39. 
  6. Farasat A, Shokrollahi A, Arabloo M, Gharagheizi F, Mohammadi AH. Toward an intelligent approach for determination of saturation pressure of crude oil. Fuel processing technology. 2013 Nov 1;115:201-14. 
  7. Danesh A. PVT and phase behaviour of petroleum reservoir fluids. Elsevier; 1998 May 7.
  8. Hemmati MN, Kharat R. Evaluation of empirically derived PVT properties for Middle East crude oils. Scientia Iranica, 2007. 14(4): p. 358-368. 
  9. Ghorbani H, Moghadasi J, Dashtbozorg A, Abarghoyi PG. The exposure of new estimating models for bubble point pressure in crude oil of one of the oil fields in Iran. American Journal of Oil and Chemical Technologies. 2017:178-93. 
  10. Mohamadian N, and Ghorbani, H. An investigation on chemical formation damage in Iranian reservoir by focus on mineralogy role in shale swelling potential in Pabdeh and Gurpi formations. Advances in Environmental Biology, 2015. 9(4):161-166. 
  11. Darvishpour A, Sefiabad MC, Wood DA, Ghorbani H. Wellbore stability analysis to determine the safe mud weight window for sandstone layers. Petroleum Exploration and Development, 2019. 46(5):1031-1038. 
  12. Mohamadian N, Ghorbani H, Wood DA, Hormozi HK. Rheological and filtration characteristics of drilling fluids enhanced by nanoparticles with selected additives: an experimental study. Advances in Geo-Energy Research, 2018. 2(3):228-236. 
  13. Ghorbani H, Moghadasi, J. Development of a New Comprehensive Model for Choke Performance Correlation in Iranian Oil Wells. Advances in Environmental Biology, 2014. 8(17): 877-882. 
  14. Ghorbani H, Moghadasi J, Dashtbozorg A, Kooti, S. Developing a New Multiphase Model for Choke Function Relation for Iran's Gas Wells. American Journal of Oil and Chemical Technologies, 2017. 5(3):194-202. 
  15. Ghorbani H, Moghadasi J, Mohamadian N, Mansouri Zadeh M, Hezarvand Zangeneh M, Molayi O, Kamali A. Development of a New Comprehensive Model for Choke Performance Correlation in Iranian Gas Condensate Wells. Advances in Environmental Biology, 2014. 8(17): 308-313. 
  16. Mohamadian N, Ghorbani H, Wood DA,  Khoshmardan MA. A hybrid nanocomposite of poly (styrene-methyl methacrylate-acrylic acid)/clay as a novel rheology-improvement additive for drilling fluids. Journal of Polymer Research, 2019. 26(2): p. 33. 
  17. Ghaderi S, Haddadi SA, Davoodi S, Arjmand M. Application of sustainable saffron purple petals as an eco-friendly green additive for drilling fluids: A rheological, filtration, morphological, and corrosion inhibition study. Journal of Molecular Liquids, 2020. 315: 113707. 
  18. Davoodi S, SA AR, Soleimanian A, Jahromi AF. Application of a novel acrylamide copolymer containing highly hydrophobic comonomer as filtration control and rheology modifier additive in water-based drilling mud. Journal of Petroleum Science and Engineering. 2019 Sep 1;180:747-55. 
  19. Davoodi S, SA AR, Jamshidi S, Jahromi AF. A novel field applicable mud formula with enhanced fluid loss properties in high pressure-high temperature well condition containing pistachio shell powder. Journal of Petroleum Science and Engineering. 2018 Mar 1;162:378-85. 
  20. Davoodi S, SA AR, Rukavishnikov V, Minaev K. Insights into application of acorn shell powder in drilling fluid as environmentally friendly additive: filtration and rheology. International Journal of Environmental Science and Technology. 2021 Apr;18(4):835-48. 
  21. Khodaeipour M, Moqadam DL, Dashtbozorg A, Ghorbani H. Nano Clay Effect on Adsorption of Benzene, Toluene and Xylene from Aqueous Solution. American Journal of Oil and Chemical Technologies: Volume. 2018 Jun;6(2).
  22. Abdali MR, Mohamadian N, Ghorbani H, Wood DA. Petroleum Well Blowouts as a Threat to Drilling Operation and Wellbore Sustainability: Causes, Prevention, Safety and Emergency Response. Journal of Construction Materials| Special Issue on Sustainable Petroleum Engineering ISSN. 2021 Feb 4;2652:3752. 
  23. Hassanpouryouzband A, Yang J, Okwananke A, Burgass R, Tohidi B, Chuvilin E, Istomin V, Bukhanov B. An Experimental Investigation on the Kinetics of Integrated Methane Recovery and CO 2 Sequestration by Injection of Flue Gas into Permafrost Methane Hydrate Reservoirs. Scientific reports. 2019 Nov 7;9(1):1-9. 
  24. Hassanpouryouzband A, Yang J, Tohidi B, Chuvilin E, Istomin V, Bukhanov B. Geological CO2 capture and storage with flue gas hydrate formation in frozen and unfrozen sediments: method development, real time-scale kinetic characteristics, efficiency, and clathrate structural transition. ACS Sustainable Chemistry & Engineering. 2019 Feb 15;7(5):5338-45. 
  25. Hassanpouryouzband A, Yang J, Tohidi B, Chuvilin E, Istomin V, Bukhanov B, Cheremisin A. CO2 capture by injection of flue gas or CO2–N2 mixtures into hydrate reservoirs: Dependence of CO2 capture efficiency on gas hydrate reservoir conditions. Environmental science & technology. 2018 Mar 7;52(7):4324-30.
  26. Hassanpouryouzband A, Yang J, Tohidi B, Chuvilin E, Istomin V, Bukhanov B, Cheremisin A. Insights into CO2 capture by flue gas hydrate formation: gas composition evolution in systems containing gas hydrates and gas mixtures at stable pressures. ACS Sustainable Chemistry & Engineering. 2018 Mar 28;6(5):5732-6.
  27. Hassanpouryouzband A, Farahani MV, Yang J, Tohidi B, Chuvilin E, Istomin V, Bukhanov B. Solubility of flue gas or carbon dioxide-nitrogen gas mixtures in water and aqueous solutions of salts: Experimental measurement and thermodynamic modeling. Industrial & Engineering Chemistry Research. 2019 Jan 23;58(8):3377-94.
  28. Hassanpouryouzband A, Joonaki E, Farahani MV, Takeya S, Ruppel C, Yang J, English NJ, Schicks JM, Edlmann K, Mehrabian H. Gas hydrates in sustainable chemistry. Chemical Society Reviews, 2020. 49(15):5225-5309.
  29. Hassanpouryouzband A, Joonaki E, Edlmann K, Heinemann N, Yang J. Thermodynamic and transport properties of hydrogen containing streams. Scientific Data. 2020 Jul 9;7(1):1-4. 
  30. Hassanpouryouzband A, Joonaki E, Taghikhani V, Bozorgmehry Boozarjomehry R, Chapoy A, Tohidi B. New two-dimensional particle-scale model to simulate asphaltene deposition in wellbores and pipelines. Energy & Fuels. 2017 Nov 9;32(3):2661-72.
  31. Rashaid M, Harrison C, Ayyad H, Dumont H, Smythe E, Sullivan M, Meier J, Fukagawa S, Miyashita M, Grant B, Morikami Y. A downhole wireline module for the measurement of bubble point pressure. InAbu Dhabi International Petroleum Exhibition & Conference 2019 Nov 11. OnePetro. 
  32. Ahmadi MA, Zendehboudi S, James LA, Elkamel A, Dusseault M, Chatzis I, Lohi A. New tools to determine bubble point pressure of crude oils: Experimental and modeling study. Journal of Petroleum Science and Engineering. 2014 Nov 1;123:207-16. 
  33. Yang G, Fan Z, Li X. Determination of confined fluid phase behavior using extended Peng-Robinson equation of state. Chemical Engineering Journal. 2019 Dec 15;378:122032. 
  34. Standing MB. A pressure-volume-temperature correlation for mixtures of California oils and gases. InDrilling and Production Practice 1947 Jan 1. OnePetro. 
آمار
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