Locating underground features with seismic data processing
Abstract
Methods are presented for determining the location of underground features (e.g., CO2). One method includes capturing, by sensors distributed throughout a region, seismic traces associated with seismic signals generated by a seismic source. For multiple sensors, active noise is identified or passive noise is measured within each seismic trace and values for attributes associated with the active or passive noise are determined. Further, an unsupervised machine-learning model, based on the values of the attributes, is utilized to determine noise characteristics for multiple sensors. The sensors are grouped in clusters based on the noise characteristics for each sensor. For multiple clusters, a noise filter is created based on the noise characteristics of the sensors in the cluster, and the noise filter of the cluster is applied, for multiple sensors, to the seismic traces of the sensor. Additionally, the filtered seismic traces are analyzed to determine a location of CO2 underground.
- Inventors:
- Issue Date:
- Research Org.:
- Energy and Environmental Research Center Foundation, Grand Forks, ND (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1925126
- Patent Number(s):
- 11448792
- Application Number:
- 17/116,409
- Assignee:
- Energy and Environmental Research Center Foundation (Grand Forks, ND)
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01V - GEOPHYSICS
G - PHYSICS G06 - COMPUTING G06N - COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- DOE Contract Number:
- 22671; 41000/22671; FE0024233
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 12/09/2020
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 58 GEOSCIENCES; 47 OTHER INSTRUMENTATION
Citation Formats
Barajas-Olalde, César, Glazewski, Kyle A., and Bosshart, Nicholas W. Locating underground features with seismic data processing. United States: N. p., 2022.
Web.
Barajas-Olalde, César, Glazewski, Kyle A., & Bosshart, Nicholas W. Locating underground features with seismic data processing. United States.
Barajas-Olalde, César, Glazewski, Kyle A., and Bosshart, Nicholas W. Tue .
"Locating underground features with seismic data processing". United States. https://www.osti.gov/servlets/purl/1925126.
@article{osti_1925126,
title = {Locating underground features with seismic data processing},
author = {Barajas-Olalde, César and Glazewski, Kyle A. and Bosshart, Nicholas W.},
abstractNote = {Methods are presented for determining the location of underground features (e.g., CO2). One method includes capturing, by sensors distributed throughout a region, seismic traces associated with seismic signals generated by a seismic source. For multiple sensors, active noise is identified or passive noise is measured within each seismic trace and values for attributes associated with the active or passive noise are determined. Further, an unsupervised machine-learning model, based on the values of the attributes, is utilized to determine noise characteristics for multiple sensors. The sensors are grouped in clusters based on the noise characteristics for each sensor. For multiple clusters, a noise filter is created based on the noise characteristics of the sensors in the cluster, and the noise filter of the cluster is applied, for multiple sensors, to the seismic traces of the sensor. Additionally, the filtered seismic traces are analyzed to determine a location of CO2 underground.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2022},
month = {9}
}
Works referenced in this record:
Method and apparatus for marine seismic data acquisition
patent-application, November 2007
- Ozdemir, Ahmet Kemal; Teigen, Oeyvind; Borgen, Lars
- US Patent Application 11/432255; 20070265786