Optimum size and density of surface grid arrays for retrieving accurate shear‐tensile fracturing of microearthquakes

0531284 - GFÚ 2021 RIV US eng J - Journal Article
Ren, Y. - Gao, Y. - Wu, S. - Vavryčuk, Václav
Optimum size and density of surface grid arrays for retrieving accurate shear‐tensile fracturing of microearthquakes.
Geophysical Prospecting. Roč. 68, č. 8 (2020), s. 2347-2360. ISSN 0016-8025. E-ISSN 1365-2478
R&D Projects: GA ČR(CZ) GA19-06422S
Institutional support: RVO:67985530
Keywords : acquisition * inversion * monitoring * passive method * seismics * surface monitoring
OECD category: Volcanology
Impact factor: 1.742, year: 2020
Method of publishing: Open access
https://onlinelibrary.wiley.com/doi/10.1111/1365-2478.12997

Surface arrays became an important tool for monitoring the induced seismicity in hydraulic fracturing experiments and for assessing the impact of fluid injection on the fracturing process of microearthquakes. The layout of sensors plays a key role in this task because it controls the accuracy of event locations and retrieved seismic moment tensors. We simulate various configurations of grid sensor arrays characterized by a different number of sensors, array span, sensor spacing, depth of sources and various shear/tensile source mechanisms of events. The moment tensor inversion is carried out using synthetically calculated P-wave amplitudes with added random noise. A bias in the solutions is evaluated by errors in the double-couple percentage of inverted moment tensors because the double-couple errors inform us about the sensitivity of the network to detect the shear/tensile fracturing mode of induced microearthquakes. The results show that the accuracy of the double-couple percentage is mostly controlled by the offset-to-depth ratioRdefined as the ratio of half of the network size to the event depth. The optimum value ofRis in the range of 0.75-1.5 irrespective of the type of the focal mechanism. If 121 (11 x 11) sensors are distributed in a regular grid and recorded data are characterized by a 10% random noise, the double-couple error is less than 6%. This error increases, ifRis not optimum or if the number of sensors is reduced. However, even sparse arrays with 49 (7 x 7) or 16 (4 x 4) sensors can yield a reasonable accuracy, provided the surface grid arrays are designed to have an optimum size.
Permanent Link: http://hdl.handle.net/11104/0309972