Skip to main content
SpringerLink
Log in

A rapid oil concentration analytical method based on the optical properties of the oilfield re-injection water

  • Research Article
  • Published:
Journal of Optics Aims and scope Submit manuscript

Abstract

The oil concentration is a key parameter of great significance to evaluate the oilfield re-injection water (it generally shortened to re-injection water). However, the detection of the oil concentration for the re-injection water is limited due to the lack of the rapid and efficient detection technology for the evaluation of the organics concentration. The present study proposed a rapid analytical method for oil concentration of the re-injection water based on its optical properties, which has been similarly used in rapid detection of materials content, such as gas mixture and water steam quality. The transmittance spectra of the re-injection water were measured by the ultraviolet and visible (UV–Vis) spectrometer, and the effect on the spectra by the oil concentration was also investigated. A fitting relationship between the optical properties and the oil concentration was established. The results showed that the oil concentration has a great impact on the transmittance spectra of the re-injection water. The accuracy of fitting relationship between the optical properties and the oil concentration developed by the double-thickness inversion model and spectroscopy method is good, in which the minimum fitting error is 1.57% and the best fitting accuracy is 99.96%. The oil concentration also plays an important role in the optical properties of re-injection water, which greatly influence on the fitting accuracy.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. F. Furukawa, Y. Yamamoto, Research on the compatibility of chemical additive and demulsifier used in alkali, surfactant and polymer(ASP) flooding. J. Dermatol. 33(10), 655–661 (2012)

    Article  Google Scholar 

  2. A.A. Umar, I.M. Saaid, Effects of Temperature on silicate scale inhibition during ASP flooding. J. Appl. Sci. 14(15), 1769–1774 (2014)

    Article  ADS  Google Scholar 

  3. M.H. Sedaghat, A. Hatampour, R. Razmi, Investigating the role of polymer type and dead end pores’ distribution on oil recovery efficiency during ASP flooding. Egypt. J. Pet. 22(2), 241–247 (2013)

    Article  Google Scholar 

  4. D.L. Naftz, Z.E. Peterman, L.E. Spangler, Using δ87Sr values to identify sources of salinity to a freshwater aquifer. Greater Aneth Oil Field, Utah, USA, Chem. Geol. 141(3), 195–209 (1997)

    Google Scholar 

  5. I. Obe, T.A. Fashanu, P.O. Idialu et al., Produced water re-injection in a non-fresh water aquifer with geochemical reaction, hydrodynamic molecular dispersion and adsorption kinetics controlling: model development and numerical simulation. Appl. Water. Sci. 7(3), 1–21 (2017)

    Article  Google Scholar 

  6. A.H. Elsheikh, M.F. Wheeler, I. Hoteit, Sparse calibration of subsurface flow models using nonlinear orthogonal matching pursuit and an iterative stochastic ensemble method. Adv. Water Resour. 56(2), 14–26 (2013)

    Article  ADS  Google Scholar 

  7. A.S. Ekine, G.O. Emujakporue, Investigation of corrosion of buried oil pipeline by the electrical geophysical methods. J. Appl. Sci. Environ. Manag. 14(1), 19–21 (2011)

    Google Scholar 

  8. C.O. Obuekwe, D.W.S. Westlake, F.D. Cook, Corrosion of pembina crude oil pipeline. Eur. J. Appl. Microbiol. Biotechnol. 17(3), 173–177 (1983)

    Article  Google Scholar 

  9. R. Kazempoor, A.H.K. Asl, A.A. Motallebi et al., Histopathological changes of water soluble fraction of Iranian crude oil in muscle of yellow fin sea bream (Acantopagrus latus). Int. J. Biosci. 6(2), 451–459 (2015)

    Google Scholar 

  10. S.C. Votier, B.J. Hatchwell, A. Beckerman et al., Oil pollution and climate have wide-scale impacts on seabird demographics. Ecol. Lett. 8(11), 1157–1164 (2010)

    Article  Google Scholar 

  11. M.G. Commendatore, J.L. Esteves, An assessment of oil pollution in the coastal zone of Patagonia, Argentina. Environ. Manag. 40(5), 814–821 (2007)

    Article  ADS  Google Scholar 

  12. M.M. El-Sheekh, A.H. El-Naggar, M.E.H. Osman et al., Comparative studies on the green algae chlorella homosphaera and chlorella vulgaris with respect to oil pollution in the River Nile. Water Air Soil Pollut. 124(1–2), 187–204 (2000)

    Article  ADS  Google Scholar 

  13. R.B. Clark, The long-term effect of oil pollution on marine populations, communities and ecosystems: some questions. Philos. Trans. R. Soc. Lond. 297(1087), 185–192 (1982)

    ADS  Google Scholar 

  14. J.D. Wehausen, R.R. Ramey, C.W. Epps, Experiments in DNA extraction and PCR amplification from bighorn sheep feces: the importance of DNA extraction method. J. Hered. 95(6), 503 (2004)

    Article  Google Scholar 

  15. J. Ladell, W. Parrish, J. Taylor, Center-of-gravity method of precision lattice parameter determination. Acta Crystallogr. A 12(3), 253–254 (1959)

    Article  Google Scholar 

  16. R. Halim, B. Gladman, M.K. Danquah et al., Oil extraction from microalgae for biodiesel production. Bioresour Technol 102(1), 178–185 (2011)

    Article  Google Scholar 

  17. P.S. Tam, J.R. Kittrell, J.W. Eldridge, Desulfurization of fuel oil by oxidation and extraction Enhancement of extraction oil yield. Ind. Eng. Chem. Res. 29(3), 321–324 (1990)

    Article  Google Scholar 

  18. J.P. Friedrich, G.R. List, A.J. Heakin, Petroleum-free extraction of oil from soybeans with supercritical CO2. J. Am. Oil Chemists’ Soc. 59(7), 288–292 (1982)

    Article  Google Scholar 

  19. R. Katzenelson, A. Perel, H. Berkenstadt et al., Accuracy of transpulmonary thermodilution versus gravimetric measurement of extravascular lung water. Crit. Care Med. 32(7), 1550–1554 (2004)

    Article  Google Scholar 

  20. S.W. Wenzel, R.M. White, Analytic comparison of the sensitivities of bulk-wave, surface-wave, and flexural plate-wave ultrasonic gravimetric sensors. Appl. Phys. Lett. 54(20), 1976–1978 (1989)

    Article  ADS  Google Scholar 

  21. J.D. Reed, P.J. Horvath, M.S. Allen et al., Gravimetric determination of soluble phenolics including tannins from leaves by precipitation with trivalent ytterbium. J. Sci. Food Agric. 36(4), 255–261 (1985)

    Article  Google Scholar 

  22. K.M. Kozloff, R. Weissleder, U. Mahmood, Noninvasive optical detection of bone mineral. J. Bone Miner. Res. 22(8), 1208–1216 (2010)

    Article  Google Scholar 

  23. A. Ghanim Alrubaye, A. Nabok, G. Catanante et al., Label-free optical detection of mycotoxins using specific aptamers immobilized on gold nanostructures. Toxins 10(7), 291 (2018)

    Article  Google Scholar 

  24. Y.K. Tischler, E. Thiessen, E. Hartung, Early optical detection of infection with brown rust in winter wheat by chlorophyll fluorescence excitation spectra. Comput. Electron. Agric. 146, 77–85 (2018)

    Article  Google Scholar 

  25. Y. Tsurimaki, J.K. Tong, V.N. Boriskin et al., Topological engineering of interfacial opticaltamm states for highly sensitive near-singular-phase optical detection. ACS Photonics 5(3), 929–938 (2018)

    Article  Google Scholar 

  26. J.R. Clark, K. Cahoy, Optical detection of lasers with near-term technology at interstellar distances. Astrophys J 867(2), 97 (2018)

    Article  ADS  Google Scholar 

  27. S.A. Roussel, C.L. Hardy, Detection of roundup ready TM soybeans by near-infrared spectroscopy. Appl. Spectrosc. 55(10), 1425–1429 (2001)

    Article  ADS  Google Scholar 

  28. T.A. Alexander, P.M. Pellegrino, J.B. Gillespie, Near-infrared surface-enhanced-Raman-scattering-mediated detection of single optically trapped bacterial spores. Appl. Spectrosc. 57(11), 1340 (2003)

    Article  ADS  Google Scholar 

  29. R.J. Mallia, S. Narayanan, J. Madhavan et al., Diffuse reflection spectroscopy: An alternative to autofluorescence spectroscopy in tongue cancer detection. Appl. Spectrosc. 64(4), 409–418 (2010)

    Article  ADS  Google Scholar 

  30. D. Li, H. Qi, G. Wu, Optical constants determination of zinc selenide by inversing transmittance spectrogram transmittance spectra measurement and thermal radiative physical parameters inversion of diesel fuel. Spectros. Spect. Anal. 35(3), 719–723 (2015)

    Google Scholar 

  31. H. Qi, X. Zhang, M. Jiang et al., Optical constants of polyacrylamide solution in infrared spectral region. Optik 146, 27–32 (2017)

    Article  ADS  Google Scholar 

  32. G. Wu, F. Cao, H. Qi et al., Experimental analysis on optical constants of slide glass based on transmission method. Optical Tech. 41(5), 416–418 (2015)

    Google Scholar 

  33. L. Dong, M. Jiang, H. Qi et al., Optical properties of Chinese RP-3 aviation kerosene at 297 and 423 K. Optik-Int. J. Light Electron. Opt. 127(6), 3363–3367 (2016)

    Article  Google Scholar 

  34. R.J.D. Kanterewicz, B.E. Elizalde, A.M.R. Pilosof et al., Water-Oil Absorption Index (WOAI): A simple method for predicting the emulsifying capacity of food proteins. J. Food Sci. 52(5), 1381–1383 (2006)

    Article  Google Scholar 

  35. S. Kedenburg, M. Vieweg, T. Gissibl et al., Linear refractive index and absorption measurements of nonlinear optical liquids in the visible and near-infrared spectral region. Opt. Mater. Exp. 2(11), 1588–1611 (2012)

    Article  ADS  Google Scholar 

  36. L.E. Helseth, Simultaneous measurements of absorption spectrum and refractive index in a microfluidic system. Opt. Exp. 20(4), 4653–4662 (2012)

    Article  Google Scholar 

  37. H.B. Qi, S.T. Li, Q.S. Wang, G.Z. Wu et al., Optical property and concentration optical detection of polyacrylamide solution. Spectros. Spect. Anal. 37(5), 1466–1470 (2017)

    Google Scholar 

  38. D. Li, Y. Zheng, Z. Li et al., Optical properties of a liquid paraffin-filled double glazing unit. Ener. Buildings 108, 381–386 (2015)

    Article  Google Scholar 

  39. Q. Wang, X. Hu, H. Qi et al., Methods investigation to determine optical constants of liquid based on transmittance and reflectance spectrum. Optik 169, 350–360 (2018)

    Article  ADS  Google Scholar 

  40. H.B. Qi, Y.J. Zhang, Q.S. Wang et al., Experimental investigation of optical properties of oily sewage with different pH environment. Optik 183, 338–345 (2019)

    Article  ADS  Google Scholar 

  41. D. Li, H. Qi, G. Wu, Determined optical constants of liquid hydrocarbon fuel by a novel transmittance method. Optik-Int. J. Light Electron. Opt. 126(7–8), 834–837 (2015)

    Article  Google Scholar 

  42. G.M. Hale, M.R. Querry, Optical constants of water in the 200-nm to 200-microm wavelength region. Appl. Opt. 12, 555–563 (1973)

    Article  ADS  Google Scholar 

Download references

Funding

This study was funded by the Youth Innovative Talents Training Plan of General Undergraduate University in Heilongjiang Province (UNPYSCT-2020148), the Natural Science Foundation of Heilongjiang Province No.LH2019E015 and the Northeast Petroleum University Youth Science Fund Project No. 2019QNL-14.

Author information

Authors and Affiliations

  1. School of Architecture and Civil Engineering, Northeast Petroleum University, Xuefu Lu Street, Daqing, 163318, China

    Qiushi Wang, Hanbing Qi, Xiaoxue Zhang, Yujia Zhang & Dong Li

  2. Research Institute of Daqing Refining and Chemical Company, Petrochina, Chengfeng West Road, Daqing, 163411, China

    Kejia Zhang

  3. School of Mechatronic Engineering, China University of Mining and Technology, Daxue Lu Street, Xuzhou, 221116, China

    Yujia Zhang

  4. School of Electromechanical Engineering, Qingdao University of Science & Technology, Songling Lu Street, Qingdao, 266061, China

    Dong Li

  5. School of Mechanical Science and Engineering, Northeast Petroleum University, Xuefu Lu Street, Daqing, 163318, China

    Haiqian Zhao

  6. Research Institute of Drilling and Production Technology, Liaohe Oilfield, Petrochina, Huibin Street, Panjin, 124010, China

    Xianzhi Yang

Authors
  1. Qiushi Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hanbing Qi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Kejia Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Xiaoxue Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Yujia Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Dong Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Haiqian Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Xianzhi Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Qiushi Wang or Hanbing Qi.

Ethics declarations

Conflict of interest

The authors report no conflicts of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, Q., Qi, H., Zhang, K. et al. A rapid oil concentration analytical method based on the optical properties of the oilfield re-injection water. J Opt 51, 653–665 (2022). https://doi.org/10.1007/s12596-022-00896-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12596-022-00896-y

Keywords

Search

Navigation