A geostatistical analysis of seismicity in Oklahoma using regression trees and neural networks-Reference-Cited by-同舟云学术

A geostatistical analysis of seismicity in Oklahoma using regression trees and neural networks

Published:2020-05-18 Issue:4 Volume:42 Page:334-350
ISSN:0272-3646
Container-title:Physical Geography
language:en
Short-container-title:Physical Geography

Author:

Larson Jacob¹,Kramar David²^ORCID,Leonard Karl²

Affiliation:

1. Houston Engineering Fargo, ND, USA

2. Minnesota State University Moorhead, Moorhead MN, USA

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/02723646.2020.1762982

Reference36 articles.

1. Microseismic Imaging of Hydraulically Induced-Fractures in Gas Reservoirs: A Case Study in Barnett Shale Gas Reservoir, Texas, USA

2. Andrews, R. D. & Holland, A. (2015). Summary statement on Oklahoma seismicity. Oklahoma Geological Survey. Retrieved from http://www.ogs.ou.edu

3. Baker, T. (2016a). Regional earthquake response plan for central Oklahoma and expansion of the area of interest. Oklahoma Corporation Commission. 20 pgs. Retrieved from http://www.occeweb.com/News/2016/03-07-16ADVISORY-AOI,VOLUME REDUCTION.pdf

4. Baker, T. (2016b). Regional earthquake response plan for western Oklahoma.Oklahoma Corporation Commission. 8 pgs. Retrieved from http://www.occeweb.com/News/2016/02-16-16WesternRegionalPlan.pdf

5. Bredehoeft, J, & Hsieh, P. (1981). A reservoir analysis of the denver earthquakes: a case of induced seismicity. 86(B2), 903–920. http://dx.doi.org/10.1029/JB086iB02p00903;

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