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Cost-Effective Simulation and Prediction of Explosions for Military and Public Safety, and for Improved Oil Extraction

In: UK Success Stories in Industrial Mathematics

Author

Listed:
  • Ian G. Cullis

    (QinetiQ Fort Halstead)

  • Mark A. Kelmanson

    (University of Leeds, School of Mathematics)

Abstract

An MoD-funded research programme based in Applied Mathematics at Leeds University has resulted in demonstrable long-term and ongoing benefits on diverse fronts for beneficiaries in a range of public and private sectors. First, by guaranteeing robustness and reliability of bespoke numerical methods for the MoD, the joint research led to substantial financial savings in ballistic-development programmes, thereby enabling the delivery of advanced research output cost-effectively under severe budgetary pressures. As a result, QinetiQ was placed as a world leader in the simulation of explosions, which supported the MoD to rapidly assess and develop countermeasures to the ever-changing threats faced by British Forces in Afghanistan and Iraq, and to reduce casualties. It also enabled government agencies to assess threats to transport and public-building infrastructure. Second, the joint research underpinned substantial recurrent income for QinetiQ, who has additionally developed the codes with the oil industry to develop a new explosive perforator for oil extraction that has not only led to demonstrable improvements in both extraction efficiency and research-and-development costs, but has also yielded recurrent licensing royalties.

Suggested Citation

  • Ian G. Cullis & Mark A. Kelmanson, 2016. "Cost-Effective Simulation and Prediction of Explosions for Military and Public Safety, and for Improved Oil Extraction," Springer Books, in: Philip J. Aston & Anthony J. Mulholland & Katherine M.M. Tant (ed.), UK Success Stories in Industrial Mathematics, edition 1, pages 155-161, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-25454-8_20
    DOI: 10.1007/978-3-319-25454-8_20
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