• Associate Professor, Petroleum Engineering
  • Class of ’75 DVG Associate Professor
Kan Wu

Educational Background

  • Ph.D., Petroleum Engineering, University of Texas at Austin
  • M.S., Petroleum Engineering, China University of Petroleum (East)
  • B.S., Petroleum Engineering, China University of Petroleum (East)

Research Interests

    • Distributed fiber-optic sensing
    • Hydraulic fracture modeling, monitoring, and optimization
    • Multi-scale and multi-physics modeling

Selected Publications

  • Liu, Y. , Jin, G., and Wu, K. 2022. New insights on near-wellbore fracture characteristics from high-resolution distributed strain sensing measurements. SPE Reservoir Evaluation & Engineering. 25(01): 99-112.
  • Liu, Y., Jin, G., Wu, K., and Moridis, G. 2021. Hydraulic fracture-width inversion using low-frequency distributed acoustic-sensing strain data—Part II: extension for multifracture and field application. SPE-205379-PA. SPE Journal. 26(05): 2703-2715.
  • Mao, S., Zhang, Z., Chun, T., and Wu, K. 2020. Field-scale numerical investigation of proppant transport among multi-cluster hydraulic fractures. SPE Journal. 26 (01): 307-323.
  • Liu, Y., Wu, K., Jin, G., Moridis, G., Kerr, E., Scofield, R., and Johnson, A. 2020. Fracture-hit detection using LF-DAS signals measured during multifracture propagation in unconventional reservoirs. SPE-204457-PA. SPE Reservoir Evaluation & Engineering. 24(03): 523-535.
  • Sangnimnuan, A., Li, J., and Wu, K. 2020. Development of coupled two phase flow and geomechanics model to predict stress evolution in unconventional reservoirs with complex fracture geometry. Journal of Petroleum Science and Engineering. 196.