1887

Abstract

Summary

Oilfield scale deposition is a serious challenge facing the oil and gas industry. Among the available techniques to prevent formation of scale deposition, squeeze treatment is one of the most efficient and common techniques. Squeeze treatments consists of the injection of chemical scale inhibitor followed by an overflush stage. The chemical will prevent scale deposition if the concentration of inhibitor in the produced brine is above a certain concentration level, known as the Minimum Inhibitor Concentration (MIC).

The main purpose of this paper is to present squeeze treatments designs for a field case with a specified target lifetime. The methodology presented in this paper includes an optimisation algorithm suitable for this complex real life problem. The algorithm, which is described, presents a number of optimum designs, from amongst which the Pareto optimal front is calculated to identify the most efficient design for the particular conditions of the well under risk of scale deposition.

Loading

Article metrics loading...

/content/papers/10.1190/RDP2018-41993986.1
2018-05-09
2021-01-25
Loading full text...

Full text loading...

References

  1. Kennedy, J. and Eberhart, R.
    , 1995. Particle Swarm Optimisation. Proceedings of IEEE International Conference on Neural Networks.
    [Google Scholar]
  2. Onwubolu, G. C. and B. V.Babu
    , 2004. New Optimisation Techniques in Engineering, Springer.
    [Google Scholar]
  3. Powell, D., Frazer, L. and Dibrell, B.
    , 1996. Optimisation of scale inhibitor squeeze procedures in a North Slope oil field. NACE-96185, Issue 185, p. 14.
    [Google Scholar]
  4. Vazquez, O., Fursov, I. and Mackay, E.
    , 2016. Automatic optimisation of oilfield scale inhibitor squeeze treatment designs. Journal of Petroleum Science and Engineering, p. 6.
    [Google Scholar]
  5. , 2016. Automatic optimisation of oilfield scale inhibitor squeeze treatment designs, Journal of Petroleum Science and Engineering, 147, pp. 302–307. doi: 10.1016/j.petrol.2016.06.025.
    https://doi.org/10.1016/j.petrol.2016.06.025 [Google Scholar]
  6. Vazquez, O., Mackay, E. & Sorbie, K.
    , 2009. Impact of mutual solvent preflush on scale squeeze treatments: Extended squeeze lifetime and improved well clean-up time. SPE 121857, p. 14.
    [Google Scholar]
  7. Vazquez, O., Mackay, E., Ross, G. & Baskoro, A.
    , 2017. Automatic optimisation of oilfield scale inhibitor squeeze treatment delivered by DSV. SPE-184535-MS, p. 12.
    [Google Scholar]
  8. Wayne, W. & Frenier, M.
    , 2009. Formation, removal and inhibition of inorganic scale in the oilfield environment. Society of Petroleum Engineers.
  9. Zavala, J. A. P., Mackay, E. J., Vazquez, O., Boak, L. S., Singleton, M. and Ross, G.
    , 2008. The Cost and Value of Field, Laboratory, and Simulation Data for Validating Scale Inhibitor Treatment Models, in SPE International Oilfield Scale Conference.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.1190/RDP2018-41993986.1
Loading
/content/papers/10.1190/RDP2018-41993986.1
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error