Low Frequency Das Data Study with Integrated Data Analysis for Monitoring Hydraulic Fracture

Abstract

Summary Distributed acoustic sensing (DAS) is an effective method for hydraulic fracture monitoring because it has the potential to constrain fracture propagation direction and time, and monitor pressure-change effects such as stress shadowing. We have applied data processing techniques to passive DAS data recorded during a hydraulic fracturing operation in order to observe strain rate and strain response related to fracture hits along the fiber optic cable. The fracture hit position and time was estimated from the low-frequency DAS (LF-DAS) results, and in some case, fracture connection could be estimated. By integrating DAS results with distributed temperature sensing (DTS) data, we could detect temperature changes related to the compression response near the estimated fracture hit position. Furthermore, we identified opportunities to tightly constrain the timing of the fracture hit by using high-frequency DAS (HF-DAS) data. These results could be integrated with geomechanical modelling to gain further insight into the fracturing process.