Systems and Methods for Non-Parametric Autopicking of Seismic Wave Features from Seismic Data

摘要

Systems and methods for automatically detecting and identifying seismic wave features in seismic data are provided. In general, the systems and methods utilize a nonparametric time series classification method to detect seismic wave features that may otherwise be difficult to automatically identify in seismic data. Instead of building a model by estimating parameters from the seismic data, the data itself is used to define a trained model. The systems and methods described here provide the ability to detect and identify seismic wave features with reasonably fast and extremely accurate results without needing to compute parameters.

主权项

1. A method for detecting and identifying a seismic wave feature in seismic data, the steps of the method comprising:
(a) providing a set of training data that represents a seismic wave feature of interest; (b) providing seismic data that includes seismic traces; (c) scaling the seismic data based on information contained in the seismic data; (d) computing a similarity score between the provided seismic data and the provided training data; (e) identifying a portion of the provided seismic data as containing a seismic wave feature of interest based on the computed similarity score; and (f) selecting the seismic wave feature of interest as occurring at a selected time point in the identified portion of the seismic data.