Geomechanics and Engineering

  • 제18권2호
  • /
  • Pages.205-213
  • /
  • 2019
  • /
  • 2005-307X(pISSN)
  • /
  • 2092-6219(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Study on the distribution law and influencing factors of pressure field distribution before exploitation in heavy oilfield

  • Zhang, Xing (Research Institute of Petroleum Engineering Technology, Shengli Oilfield, SINOPEC) ;
  • Jiang, Ting T. (Hubei Province Key Laboratory of Processing of Mineral Resources and Environment, School of Resource and Environmental Engineering, Wuhan University of Technology) ;
  • Zhang, Jian H. (Hubei Province Key Laboratory of Processing of Mineral Resources and Environment, School of Resource and Environmental Engineering, Wuhan University of Technology) ;
  • Li, Bo (Key Laboratory Geotechnical Mechanics and Engineering of the Mechanics and Engineering of the Minister of Water Resources, Changjiang River Scientific Research Institute) ;
  • Li, Yu B. (Hubei Province Key Laboratory of Processing of Mineral Resources and Environment, School of Resource and Environmental Engineering, Wuhan University of Technology) ;
  • Zhang, Chun Y. (Hubei Province Key Laboratory of Processing of Mineral Resources and Environment, School of Resource and Environmental Engineering, Wuhan University of Technology) ;
  • Xu, Bing B. (Hubei Province Key Laboratory of Processing of Mineral Resources and Environment, School of Resource and Environmental Engineering, Wuhan University of Technology) ;
  • Qi, Peng (Hubei Province Key Laboratory of Processing of Mineral Resources and Environment, School of Resource and Environmental Engineering, Wuhan University of Technology)
  • 투고 : 2018.11.05
  • 심사 : 2019.05.28
  • 발행 : 2019.06.10
⟨ 이전 논문 다음 논문 ⟩

초록

A calculation model of reservoir pressure field distribution around multiple production wells in a heavy oil reservoir is established, which can overcome the unreasonable uniform-pressure value calculated by the traditional mathematical model in the multiwell mining areas. A calculating program is developed based on the deduced equations by using Visual Basic computer language. Based on the proposed mathematical model, the effects of drainage rate and formation permeability on the distribution of reservoir pressure are studied. Results show that the reservoir pressure drops most at the wellbore. The farther the distance away from the borehole, the sparser the isobaric lines distribute. Increasing drainage rate results in decreasing reservoir pressure and bottom-hole pressure, especially the latter. The permeability has a significant effect on bottom hole pressure. The study provides a reference basis for studying the dynamic pressure field distribution before thermal recovery technology in heavy oilfield and optimizing construction parameters.

키워드

과제정보

연구 과제 주관 기관 : National Natural Science Foundation of China

참고문헌

  1. Amirian, E., Dejam, M. and Chen, Z.X. (2018a), "Performance forecasting for polymer flooding in heavy oil reservoirs", Fuel, 216, 83-100. https://doi.org/10.1016/j.fuel.2017.11.110.
  2. Amirian, E., Fedutenko, E., Yang, C., Chen, Z. and Nghiem, L. (2018b), "Artificial neural network modeling and forecasting of oil reservoir performance", Appl. Data Manage. Anal., 43-67. https://doi.org/10.1007/978-3-319-95810-1_5.
  3. Amirian, E., Leung, J. Y., Zanon, S. and Dzurman, P. (2015), "Integrated cluster analysis and artificial neural network modeling for steam-assisted gravity drainage performance prediction in heterogeneous reservoirs", Expert Syst. Appl., 42(2), 723-740. https://doi.org/10.1016/j.eswa.2014.08.034.
  4. Arciniegas, L.M. and Babadagli, T. (2014), "Quantitative and visual characterization of asphaltenic components of heavy-oil after solvent interaction at different temperatures and pressures", Fluid Phase Equilibr., 366, 74-87. https://doi.org/10.1016/j.fluid.2014.01.006.
  5. Bader, A., Hartwich, M., Richter, A. and Meyer, B. (2018), "Numerical and experimental study of heavy oil gasification in an entrained-flow reactor and the impact of the burner concept", Fuel Process. Technol., 169, 58-70. https://doi.org/10.1016/j.fuproc.2017.09.003.
  6. Cavicchio, C.A.M., Biazussi, J.L., de Castro, M.S., Bannwart, A.C., Rodriguez, O.M.H. and de Carvalho, C.H.M. (2018), "Experimental study of viscosity effects on heavy crude oil-water core annular flow pattern", Exp. Therm. Fluid Sci., 92, 270-285. https://doi.org/10.1016/j.expthermflusci.2017.11.027.
  7. Deshamukhya, T., Hazarika, S.A., Bhanja, D. and Nath, S. (2019), "An optimization study to investigate non-linearity in thermal behaviour of porous fin having temperature dependent internal heat generation with and without tip loss", Commun. Nonlin. Sci. Numer. Simul., 67, 351-365. https://doi.org/10.1016/j.cnsns.2018.07.024.
  8. Doranehgard, M.H. and Slavashi, M. (2018), "The effect of temperature dependent relative permeability on heavy oil recovery during hot water injection process using streamlinebased simulation", Appl. Therm. Eng., 129, 106-116. https://doi.org/10.1016/j.applthermaleng.2017.10.002.
  9. Hasanvand, M.Z., Behbahani, R.M., Feyzi, F. and Mousavi-Dehghani, S. (2017), "Asphaltene particles size and size distribution change at high pressure high temperature conditions: experimental study on a heavy oil sample", High Temp.-High Press., 46(2), 85-99.
  10. Inarrea, M., Lanchares, V., Palaclan, J.F., Pascual, A.I., Salas, J.P. and Yanguas, P. (2019), "Effects of a soft-core coulomb potential on the dynamics of a hydrogen atom near a metal surface", Commun. Nonlin. Sci. Numer. Simul., 68, 94-105. https://doi.org/10.1016/j.cnsns.2018.07.039.
  11. Jahani-Keleshteri, Z. and Bahadori, A. (2017), "An accurate model to predict viscosity of heavy oils", Petrol. Sci. Technol., 35(4), 371-376. https://doi.org/10.1080/10916466.2016.1259632.
  12. Jiang, T.T., Zhang, J.H. and Wu, H. (2017), "Effects of fractures on the well production in a coalbed methane reservoir", Arab. J. Geosci., 10(22), 494. https://doi.org/10.1007/s12517-017-3283-7.
  13. Kim, P.C., Lloyd, J., Kim, J.W., Abdoulmoumine, N. and Labbe, N. (2016), "Recovery of creosote from used railroad ties by thermal desorption", Energy, 111, 226-236. https://doi.org/10.1016/j.energy.2016.05.117.
  14. Kumar, G.S. and Reddy, D.S. (2017), "Numerical modelling of forward in-situ combustion process in heavy oil reservoirs", Int. J. Oil Gas Coal T., 16(1), 43-58. https://doi.org/10.1504/IJOGCT.2017.10006351.
  15. Kumar, A. and Okuno, R. (2015), "Direct perturbation of the Peng-Robinson attraction and covolume parameters for reservoir fluid characterization", Chem. Eng. Sci., 127, 293-309. https://doi.org/10.1016/j.ces.2015.01.032.
  16. Kurek, M.A., Moczkowska, M., Pieczykolan, E. and Sobieralska, M. (2018), "Barley beta-d-glucan-modified starch complex as potential encapsulation agent for fish oil", Int. J. Biol. Macromol., 120(Pt A), 596-602. https://doi.org/10.1016/j.ijbiomac.2018.08.131.
  17. Mahdavi, A., Medvedovski, E., Mendoza, G.L. and McDonald, A. (2018), "Corrosion resistance of boronized, aluminized, and chromized thermal diffusion-coated steels in simulated high-temperature recovery boiler conditions", Coatings, 8(8), 257. https://doi.org/10.3390/coatings8080257.
  18. Osgouei, Y.T. and Parlaktuna, M. (2018), "Effects of minerals on steam distillation during thermal heavy-oil recovery: An experimental investigation", Energy Source. Part A, 40(6), 662-672. https://doi.org/10.1080/15567036.2018.1454547.
  19. Oskouel, S.J.P., Zadeh, A.B. and Gates, I.D. (2017), "A new kinetic model for non-equilibrium dissolved gas ex-solution from static heavy oil", Fuel, 204, 12-22. https://doi.org/10.1016/j.fuel.2017.05.018.
  20. Riazi, N., Lines, L. and Russell, B. (2015), "Monitoring heavy oil recovery by time-lapse EEI inversion", J. Seism. Explor., 24(4), 343-364.
  21. Rostami, B., Pourafshary, P., Fathollahi, A., Yassin, M.R., Hassani, K., Khosravi, M., Mohammadifard, M. and Dangkooban, A. (2017), "A new approach to characterize the performance of heavy oil recovery due to various gas injection", Int. J. Multiphas. Flow, 99, 273-283. https://doi.org/10.1016/j.ijmultiphaseflow.2017.10.014.
  22. Salmo, I.C., Pettersen, O. and Skauge, A. (2017), "Polymer flooding at an adverse mobility ratio: Acceleration of oil production by crossflow into water channels", Energy Fuel., 31(6), 5948-5958. https://doi.org/10.1021/acs.energyfuels.7b00515.
  23. Shalaby, R.M., Kamal, M., Ali, E.A.M. and Gumaan, M.S. (2017), "Microstructural and mechanical characterization of melt spun process Sn-3.5Ag and Sn-3.5Ag-xCu lead-free solders for low cost electronic assembly", Mater. Sci. Eng. A Struct., 690, 446-452. https://doi.org/10.1016/j.msea.2017.03.022.
  24. Taghizadeh, R., Goshtasbi, K., Manshad, A.K. and Ahangari, K. (2018), "Geomechanical and thermal reservoir simulation during steam flooding", Struct. Eng. Mech., 66(4), 505-513. https://doi.org/10.12989/sem.2018.66.4.505.
  25. Wang, T.T., Li, J.J., Jing, G., Zhang, Q.Q., Yang, C.H. and Daemen, J.J.K. (2019), "Determination of the maximum allowable operating pressure for a gas storage underground salt cavern-A case study of Jintan, China", J. Rock Mech. Geotech. Eng., 11(2), 251-262. https://doi.org/10.1016/j.jrmge.2018.10.004.
  26. Wang, T.T., Yang, C.H., Wang, H.M., Ding, S.L. and Daemen, J.J.K. (2018a), "Debrining prediction of a salt cavern used for compressed air energy storage", Energy, 147, 464-476. https://doi.org/10.1016/j.energy.2018.01.071.
  27. Wang, T.T., Ding, S.L., Wang, H.M., Yang, C.H., Shi, X.L., Ma, H.L. and Daemen, J.J.K. (2018b), "Mathematic modelling of the debrining for a salt cavern gas storage", J. Nat. Gas Sci. Eng., 50, 205-214. https://doi.org/10.1016/j.jngse.2017.12.006.
  28. Wang, T.T., Yang, C.H., Chen J.S. and Daemen, J.J.K. (2018c), "Geomechanical investigation of roof failure of China's first gas storage salt cavern", Eng. Geol., 243, 59-69. https://doi.org/10.1016/j.enggeo.2018.06.013.
  29. Wang, T.T., Ma, H.L., Shi, X.L., Yang, C.H., Zhang, N., Li, J.L., Ding, S.L. and Daemen, J.J.K. (2018d), "Salt cavern gas storage in an ultra-deep formation in Hubei, China", Int. J. Rock Mech. Min. Sci., 102, 57-70. https://doi.org/10.1016/j.ijrmms.2017.12.001.
  30. Ziabakhsh-Ganji, Z., Nick, H.M., Donselaar, M.E. and Bruhn, D.F. (2017), "Synergy potential for oil and geothermal energy exploitation", Appl. Energy, 212, 1433-1447. https://doi.org/10.1016/j.apenergy.2017.12.113.
  31. Zhang, C.Y., Pu, C.Z., Cao, R.H., Jiang, T.T. and Huang, G. (2019), "The stability and roof-support optimization of roadways passing through unfavorable geological bodies using advanced detection and monitoring methods, among others, in the Sanmenxia Bauxite Mine in China's Henan Province", Bull. Eng. Geol. Environ., 1-13, https://doi.org/10.1007/s10064-018-01439-1.