Distributed fiber optic strain sensing has recently received much attention for its ability to measure far-field rock deformation and monitor hydraulic fracture propagation during multi-stage fracturing treatments. This emerging technology has some unique features (i.e. spatial continuity, high resolution, and large geographical extension) that make it a promising candidate for fracture geometry characterization.
In this presentation, I will overview the state-of-the-art of this technique and the principles of strain response measurements. Following that, leading-edge work will be introduced to quantitatively interpret field measured data in both vertical and horizontal monitoring wells. The presentation will be concluded with a field case study in an unconventional oil reservoir to illustrate the workflow of quantitative data interpretation. Fracture properties that can be obtained from this emerging technology will be emphasized. The results of the study will highlight the value of the strain dataset and advance our understanding of complex fracture geometry created during multi-stage fracturing treatments in unconventional reservoirs.
Key takeaway from this presentation: Detailed far-field information about hydraulic fracture geometry can be obtained from the distributed fiber optic strain sensing technique. Quantitative data interpretation can substantially enhance the value of data acquired by this technique and facilitate the technique to be a routine procedure for evaluating completion quality and efficiency.
Kan Wu is an associate Professor and Class of '75 DVG Career Development Professor in Harold Vance department of petroleum engineering at Texas A&M University. Her research interests include modeling and optimization of hydraulic fracturing, multi-scale and multi-physics modeling, and data interpretation and geomechanics modeling of distributed fiber optic strain measurements. Wu has authored or co-authored more than 100 technical papers, which have been cited more than 4000 times (Source: Google Scholar). Kan holds a Ph.D. degree in petroleum engineering from The University of Texas at Austin. She is an associate editor for the SPE Reservoir Evaluation & Engineering Journal and the Journal of Petroleum Science and Engineering.