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Development of a wellbore heat transfer model considering circulation loss

  • Jiangshuai Wang
  • Jun LiEmail author
  • Gonghui Liu
  • Xuefeng Song
Original Paper
  • 9 Downloads

Abstract

Well loss is a common and complex accident in drilling engineering. The wellbore temperature under lost circulation plays a very important role on safe drilling and affects rheology of fluid, wellbore pressure, well-wall stability, etc. At present, the study on wellbore temperature profile under lost condition is quite limited. And, factors that have obvious impact on the wellbore temperature distribution are neglected in the existing heat transfer model under lost circulation, which reduces the accuracy of simulated results. In this paper, a wellbore heat transfer model is developed to predict the wellbore temperature profile under the condition of lost circulation. The effects of drilling fluid lost into zone, complex casing programs, and heat sources on wellbore temperature under the condition of lost circulation are fully considered in the model. And, the model is solved by iterative method. Then, the model is validated by the measured temperature data and the existing model. Comparison results show that the simulated results by the model in this paper are more consistent with the true value after considering these factors. Last, case study is conducted under lost circulation condition. Some meaningful conclusions are listed below: (a) The annular fluid temperature near the wellhead is less than the fluid temperature inside the drill pipe under lost circulation; (b) Different from normal circulation, there is an inflection point on the temperature difference curve under lost circulation; (c) The number of inflection points on the annular fluid temperature distribution curve increases with the increase of loss zone number; (d) Under the same change of loss rate, flow rate, thermal conductivity of formation, and heat capacity of fluid, the variation range of fluid temperature at bottom-hole is greater than the variation range of fluid temperature at wellhead.

Keywords

Drilling Wellbore heat transfer Heat sources Inflection point Loss zone number 

Notes

Funding information

The project was supported by the Key Program of National Natural Science Foundation of China (grant no. 51734010).

References

  1. Chen YH, Yu MJ, Miska S et al (2016) Fluid flow and heat transfer modeling in the event of lost circulation and its application in locating loss zones. J Pet Sci Eng 148:1–9CrossRefGoogle Scholar
  2. Cheng WL, Li TT, Nian YL et al (2014) Evaluation of working fluids for geothermal power generation from abandoned oil wells. Appl Energy 118:238–245CrossRefGoogle Scholar
  3. Cooke CE Jr, Kluck MP et al (1984) Annular pressure and temperature measurements diagnose cementing operations. J Petrol Technol 36(12):2181–2186CrossRefGoogle Scholar
  4. Edwardson MJ, Girner HM, Parkison HR et al (1962) Calculation of formation temperature disturbances caused by mud circulation. J Petrol Technol 14(04):416–426CrossRefGoogle Scholar
  5. Feng NC, Cheng SQ, Yu HY et al (2018) The flow and heat transfer characteristics of compressed air in high-pressure air injection wells. Arab J Geosci 11(17):519CrossRefGoogle Scholar
  6. Gui H, Xu JP (2017) A numerical simulation of impact of groundwater seepage on temperature distribution in karst collapse pillar. Arab J Geosci 10(1):10CrossRefGoogle Scholar
  7. Hasan AR, Kabir CS (1994) Determination of static reservoir temperature from transient data following mud circulation. SPE Drill Complet 9(01):17–24CrossRefGoogle Scholar
  8. Hasan AR, Kabir CS (2012) Wellbore heat-transfer modeling and applications. J Pet Sci Eng 86-87:127–136CrossRefGoogle Scholar
  9. Holmes CS, Swift SC (1970) Calculation of circulating mud temperatures. J Petrol Technol 22(06):670–674CrossRefGoogle Scholar
  10. Kabir CS, Hasan AR, Kouba GE et al (1996) Determining circulating fluid temperature in drilling, workover, and well control operations. SPE Drill Complet 11(02):74–79CrossRefGoogle Scholar
  11. Kaiser MJ (2009) Modeling the time and cost to drill an offshore well. Energy 34(9):1097–1112CrossRefGoogle Scholar
  12. Kutasov IM, Caruthers RM, Targhi AK et al (1988) Prediction of downhole circulating and shut-in temperatures. Geothermics 17(4):607–618CrossRefGoogle Scholar
  13. Kutlu B, Takach N, Ozbayoglu EM et al (2017) Drilling fluid density and hydraulic drag reduction with glass bubble additives. J Energy Resour Technol 139(4):042904CrossRefGoogle Scholar
  14. Li MB, Liu GH, Li J et al (2015) Thermal performance analysis of drilling horizontal wells in high temperature formations. Appl Therm Eng 78:217–227CrossRefGoogle Scholar
  15. Li G, Yang M, Meng YF et al (2016) Transient heat transfer models of wellbore and formation systems during the drilling process under well kick conditions in the bottom-hole. Appl Therm Eng 93:339–347CrossRefGoogle Scholar
  16. Li B, Li H, Guo BY et al (2017) A new numerical solution to predict the temperature profile of gas-hydrate-well drilling. SPE J 22(04):1201–1212CrossRefGoogle Scholar
  17. Liu H, Cheng LS, Wu KL et al (2018) Performance of solvent-assisted thermal drainage process and its relationship to injection parameters: a comprehensive modeling. Fuel 225:388–402CrossRefGoogle Scholar
  18. Marshall DW, Bentsen RG (1982) A computer model to determine the temperature distributions in a wellbore. PETSOC-82-01-05 21(01):14Google Scholar
  19. Pickering HJ (2004) Offshore oil and gas at the millennium. Key Issues in Marine Affairs, The Oceans, pp 105–144Google Scholar
  20. Qiao XL, Zhao C, Shao QJ et al (2018) Structural characterization of corn stover lignin after hydrogen peroxide presoaking prior to ammonia fiber expansion pretreatment. Energy Fuel 32(5):6022–6030CrossRefGoogle Scholar
  21. Ramey HJJ (1962) Wellbore heat transmission. J Petrol Technol 14(4):427–435CrossRefGoogle Scholar
  22. Raymond LR (1969) Temperature distribution in a circulating drilling fluid. J Petrol Technol 21(03):333–341CrossRefGoogle Scholar
  23. Saedi AQA, Flori RE, Kabir CS (2018) New analytical solutions of wellbore fluid temperature profiles during drilling, circulating, and cementing operations. J Pet Sci Eng 170:206–217CrossRefGoogle Scholar
  24. Saedi AQA, Flori RE, Kabir CS (2019) Exploring alteration of near-wellbore geothermal gradient during fluid circulation and production. J Pet Sci Eng 177:909–920CrossRefGoogle Scholar
  25. Salama L, Mouguina EM, El BE et al (2018) Numerical heat and fluid flow modeling of the Hercynian Draa Sfar polymetallic (Zn–Pb–Cu) massive sulfide deposit, Central Jbilets, Morocco. Arab J Geosci 11(24):785CrossRefGoogle Scholar
  26. Sun FR, Yao YD, Chen MQ (2017a) Performance analysis of superheated steam injection for heavy oil recovery and modeling of wellbore heat efficiency. Energy 125:795–804CrossRefGoogle Scholar
  27. Sun FR, Yao YD, Li XF (2017b) Type curve analysis of superheated steam flow in offshore horizontal wells. Int J Heat Mass Transf 113:850–860CrossRefGoogle Scholar
  28. Sun XH, Sun BJ, Wang ZY et al (2017c) A new model for hydrodynamics and mass transfer of hydrated bubble rising in deep water. Chem Eng Sci 173:168–178CrossRefGoogle Scholar
  29. Sun FR, Yao YD, Li GZ et al (2018a) Performance of geothermal energy extraction in a horizontal well by using CO2 as the working fluid. Energy Conv Manag 171:1529–1539CrossRefGoogle Scholar
  30. Sun FR, Yao YD, Li GZ et al (2018b) Geothermal energy development by circulating CO2 in a U-shaped closed loop geothermal system. Energy Conv Manag 174:971–982CrossRefGoogle Scholar
  31. Sun FR, Yao YD, Li GZ et al (2018c) Geothermal energy extraction in CO2 rich basin using abandoned horizontal wells. Energy 158:760–773CrossRefGoogle Scholar
  32. Tang HW, Xu BY, Hasan AR et al (2019) Modeling wellbore heat exchangers: fully numerical to fully analytical solutions. Renew Energy 133:1124–1135CrossRefGoogle Scholar
  33. Tragesser AF, Crawford PB, Crawford HR (1967) A method for calculating circulating temperatures. J Petrol Technol 19(11):1507–1512CrossRefGoogle Scholar
  34. Wang JS, Li J, Liu GH et al (2019) Parameters optimization in deepwater dual-gradient drilling based on downhole separation. Petroleum Explor Dev 46(4):819–825CrossRefGoogle Scholar
  35. Wei SL, Cheng LS, Huang WJ et al (2015) Flow behavior and heat transmission for steam injection wells considering the tubing buckling effect. Energy Technol 3(9):935–945CrossRefGoogle Scholar
  36. Wooley GR (1980) Computing downhole temperatures in circulation, injection, and production wells. J Petrol Technol 32(09):1509–1522CrossRefGoogle Scholar
  37. Wu B, Zhang X, Jeffrey RG, et al (2012) A coupled model for wellbore/reservoir temperature prediction and stress analysis during fluid circulation, 46th U.S. Rock Mechanics/Geomechanics Symposium. American Rock Mechanics Association, Chicago, Illinois, pp. 10Google Scholar
  38. Yang M, Li XX, Deng JM et al (2015) Prediction of wellbore and formation temperatures during circulation and shut-in stages under kick conditions. Energy 91:1018–1029CrossRefGoogle Scholar
  39. Yang M, Zhao XY, Meng YF et al (2017) Determination of transient temperature distribution inside a wellbore considering drill string assembly and casing program. Appl Therm Eng 118:299–314CrossRefGoogle Scholar
  40. Yang HW, Li J, Liu GH et al (2019) Development of transient heat transfer model for controlled gradient drilling. Appl Therm Eng 148:331–339CrossRefGoogle Scholar
  41. Zhang T, Wu JJ, Fei HY (2019) Characteristics and controlling factors of the Lower–Middle Jurassic sandstone reservoirs in Amu Darya right bank area, Turkmenistan. Arab J Geosci 12(9):293CrossRefGoogle Scholar
  42. Zhao C, Qiao XL, Cao Y et al (2017) Application of hydrogen peroxide presoaking prior to ammonia fiber expansion pretreatment of energy crops. Fuel 205:184–191CrossRefGoogle Scholar

Copyright information

© Saudi Society for Geosciences 2020

Authors and Affiliations

  • Jiangshuai Wang
    • 1
  • Jun Li
    • 1
    Email author
  • Gonghui Liu
    • 1
    • 2
  • Xuefeng Song
    • 3
  1. 1.College of Petroleum EngineeringChina University of PetroleumBeijingChina
  2. 2.Beijing University of TechnologyBeijingChina
  3. 3.CNOOC Safety Technology Service Co., Ltd.TianjinChina

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