Correlating distributed acoustic sensing (DAS) to natural fracture intensity for the Marcellus Shale

Kavousi, Payam (West Virginia University) | Carr, Timothy (West Virginia University) | Wilson, Thomas (West Virginia University) | Amini, Shohreh (West Virginia University) | Wilson, Collin (Schlumberger) | Thomas, Mandy (Schlumberger) | MacPhail, Keith (Schlumberger) | Crandall, Dustin (National Energy Technology Laboratory, US Department of Energy) | Carney, BJ (Northeast Natural Energy LLC) | Costello, Ian (Northeast Natural Energy LLC) | Hewitt, Jay (Northeast Natural Energy LLC)

OnePetro 

Distributed acoustic sensing (DAS) technology also known as distributed vibration sensing (DVS) uses optical fibers to measure the dynamic strain at all points along the fiber (Parker et al, 2014). The DAS senses the vibration in the local environment around the fiber and provides a measure of the relative strain of the optical fiber. This remote sensing technique has provided unparalleled acoustic sampling from the subsurface during hydraulic fracturing of the horizontal MIP-3H well drilled in Marcellus Shale near Morgantown, WV. We will show that the energy of the extracted phase of DAS data (hDVS) has a strong negative correlation with natural fracture intensity P32. The hydrofracking stages with lower P32 show a higher DAS phase energy and vice versa. In addition, we will evaluate the correlation between DAS phase energy, microseismic energy, and injection energy during the hydrofracking in MIP-3H. DAS phase energy is linearly correlated with injection energy. The calculated microseismic energies, which are less than 0.1% of the injection energies, do not show a significant correlation with either DAS phase energy or injection energy. The negative correlation between P32 and either DAS phase energy or injection energy suggests less vibration in zones that are more naturally fractured. Numerous observed fractures from wireline image logs are resistive (healed), and appear to significantly control the hydrofracking efficiency in MIP-3H.

Presentation Date: Tuesday, September 26, 2017

Start Time: 10:35 AM

Location: 362D

Presentation Type: ORAL