DAS same-well monitoring real-time microseismic effective event identification method based on deep learning
US-11899154-B2 · Feb 13, 2024 · US
US9176246B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9176246-B2 |
| Application number | US-201313896792-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 17, 2013 |
| Priority date | Oct 5, 2012 |
| Publication date | Nov 3, 2015 |
| Grant date | Nov 3, 2015 |
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Systems, methods, and software can be used to identify properties of fractures in a subterranean zone. In some aspects, a basic plane orientation is determined for each of a plurality of basic planes. The basic planes are defined by coplanar subsets of microseismic event data from a fracture treatment of a subterranean zone. The quantity of the basic plane orientations in each of a plurality of ranges is calculated. In some implementations, a histogram is displayed to indicate the quantity of basic plane orientations in each of the orientation ranges. A dominant fracture orientation is identified for the subterranean zone based on one or more of the identified quantities.
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The invention claimed is: 1. A computer-implemented method for identifying dominant fracture orientations in a subterranean zone, the method comprising: receiving microseismic event data associated with a fracture treatment of a subterranean zone; identifying coplanar subsets of microseismic events in the received microseismic event data, each of the coplanar subsets comprising a non-collinear triplet of microseismic events in the received microseismic event data; determining…
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