October Technical Meeting - Xueling Song Ph.D.

Interpreting Cross-Well Fiber Optic Data: Addressing the Impact of Fiber Slippage During Hydraulic Fracturing

Abstract:

Cross-well distributed fiber optic sensing is a powerful tool for monitoring strain changes induced by fracture propagation, identifying fracture hits, and gaining insights into fracture geometries. While cost-effective single-use fibers are commonly used for cross-well monitoring due to their ease of deployment and minimal operational impact, they are prone to slippage under strain changes from fracture hits, complicating data interpretation.

This presentation will explore the impact of fiber slippage on the cross-well distributed fiber optic strain measurements during hydraulic fracturing. It will cover an overview of forward numerical modeling, introduce a novel field data interpretation method, and present a case study that demonstrates the application of these techniques to improve the reliability of data from disposable fibers affected by slippage.

Bio:

Xueling Song is a Ph.D. Candidate in the Harold Vance Department of Petroleum Engineering at Texas A&M University. Her research focuses on utilizing distributed fiber optic cross-well strain measurements to quantify cluster efficiency, fracture geometry, and interaction during hydraulic fracturing, with a particular emphasis on analyzing fiber slippage effects. She holds an MEng in Petroleum Engineering from the University of North Dakota and a B.E. in Petroleum Engineering from the China University of Petroleum (East China). Through internships at Halliburton and Sim Tech LLC, Xueling has advanced innovations in disposable fiber friction testing and well interference simulation. She has authored/coauthored 8 technical papers in prominent conferences and journals and has held leadership roles within ARMA student chapters.