Kan Wu

Educational Background

- Data interpretation and forward modeling of distributed fiber optic strain sensing
- Hydraulic fracture modeling, monitoring, and optimization
- Subsurface monitoring of carbon storage and enhanced geothermal systems
- Hybrid physics and data-driven modeling
- Multi-scale and multi-physics modeling

Karen E. Olson ’87 and Louis H. Turner Faculty Award for Excellence in Research – 2023
SPE Distinguished Lecturer – 2023-2024
Award of Best Application Paper, Sponsored by International Geomechanics Symposium – 2022
Chevron Corporation Faculty Fellowship – 2017-2022

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.