Abstract

The Canadian Dip-in-DAS (CanDiD) project involved wireline deployment of an optical fiber in a lateral well to record distributed acoustic sensing (DAS) observations. The project took place in January 2021 during hydraulic- fracturing operations at a multi-well pad. The program was carried out by the University of Calgary as part of the Microseismic Industry Consortium, in partnership with an oil and gas operator and several wireline and DAS service providers. The DAS recordings from zipper-frac completions in 6 horizontal wells show typical signatures of low-frequency strain signals associated with fracture-driven interactions (FDI’s or “frac hits”). These signals enabled fracture azimuth to be determined, which indicate a systematic variation in azimuth with depth in the reservoir zone. This variation is interpreted to represent a depth- dependent rotation in the maximum horizontal stress direction. A few atypical low-frequency signals are best explained by shear slip along horizontal planes of weakness. Using a machine-learning based approach, microseismic events were detected and processed, although it was not possible to obtain process hypocenters from a single fiber. In the same frequency band as the microseismic events, numerous coherent noise events with symmetrical linear moveout were observed in close proximity to the FDIs. The results of this investigation show the utility of dip-in DAS deployments to provide insights about fracture geometry and stress orientations.

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