Estimation and interpretation of high-confidence microseismic source mechanisms

Autor:	David E. Diller, Barry Fish, Ted Shuck
Rok vydání:	2015
Předmět:	Geophysics Microseism Discrete fracture Computer science Pattern recognition (psychology) Geology Data mining computer.software_genre computer Interpretation (model theory)
Zdroj:	The Leading Edge. 34:918-924
ISSN:	1938-3789 1070-485X
DOI:	10.1190/tle34080918.1
Popis:	Some of the advantages of surface microseismic monitoring can be examined to suggest ways in which those advantages can improve the use and interpretation of microseismic results. In particular, surface microseismic monitoring provides an opportunity to determine the source mechanism for most events, and methods are available that can increase the confidence in those results. One method for determining microseismic source mechanism is image-domain pattern recognition (IDPR), which is more suitable to the relatively noisy environment of surface microseismic monitoring than the classic time-domain methods are. One drawback that must be addressed is that accurate image-domain pattern recognition requires the use of 3D velocity corrections. Finally, microseismic events with high-confidence locations and source mechanisms can be used to directly construct discrete fracture networks (DFN).
Databáze:	OpenAIRE
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