Micro-Seismic Monitoring Data Analysis System Based on Sequentially Discounting Autoregressive and its Application to Offshore CO2 Storage Safety Operation

8 Pages Posted: 17 Apr 2019 Last revised: 27 Oct 2020

See all articles by Luchen Wang

Luchen Wang

Geological Carbon Dioxide Storage Technology Research Association; RITE: Research Institute of Innovative Technology for the Earth

Tetsuma Toshioka

Geological Carbon Dioxide Storage Technology Research Association

Takahiro Nakajima

Geological Carbon Dioxide Storage Technology Research Association; RITE

Akira Narita

Mitsubishi Space Software Co., Ltd.

Ziqiu Xue

RITE: Research Institute of Innovative Technology for the Earth; Geological Carbon dioxide Storage Technology Research Association

Abstract

Micro-seismic monitoring is widely used as an effective way in detecting the seismic events during injection to ensure the safety during the injection of CO2 into geologic formations and is beneficial for increasing the public acceptance. At the offshore site, the challenges in monitoring involve processing high noise record and distinguishing the induced seismic events from the background natural earthquakes. We introduce the Sequentially Discounting AutoRegressive (SDAR) learning method to identify seismic events against the background noise. The SDAR method has a higher detection rate than traditional methods (e.g., STA/LTA), even for low signal to noise (< 1.0) events. We apply the SDAR method to synthetic record and the Tomakomai Ocean Bottom Cable (OBC) baseline data to test the method effectiveness. The detected background natural earthquakes will then be used to construct the seismic model and identify the induced seismic events during the injection. Based on the SDAR method, an Advanced Traffic Light System (ATLS) is being built for induced seismicity monitoring and injection safety management at the Tomakomai storage project. Our results suggest that the SDAR-based ATLS will be a promising tool for safety management, especially for injection projects in offshore storage project.

Keywords: Microseismic monitoring; Sequentially discounting autoregressive; Ocean bottom cable; Tomakomai Offshore storage, GHGT-14

Suggested Citation

Wang, Luchen and Wang, Luchen and Toshioka, Tetsuma and Nakajima, Takahiro and Nakajima, Takahiro and Narita, Akira and Xue, Ziqiu, Micro-Seismic Monitoring Data Analysis System Based on Sequentially Discounting Autoregressive and its Application to Offshore CO2 Storage Safety Operation. 14th Greenhouse Gas Control Technologies Conference Melbourne 21-26 October 2018 (GHGT-14) , Available at SSRN: https://ssrn.com/abstract=3366201 or http://dx.doi.org/10.2139/ssrn.3366201

Luchen Wang (Contact Author)

Geological Carbon Dioxide Storage Technology Research Association ( email )

9-2 Kizugawadai
Kizugawa-Shi
Kyoto, 619-0292
Japan

RITE: Research Institute of Innovative Technology for the Earth ( email )

Kyoto, 619-0292
Japan

Tetsuma Toshioka

Geological Carbon Dioxide Storage Technology Research Association

9-2 Kizugawadai
Kizugawa-Shi
Kyoto, 619-0292
Japan

Takahiro Nakajima

Geological Carbon Dioxide Storage Technology Research Association ( email )

9-2 Kizugawadai
Kizugawa-Shi
Kyoto, 619-0292
Japan

RITE ( email )

9-2 Kizugawadai0
Kizugawa-shi, Kyoto 619-0292
Japan
+81774752309 (Phone)
619-0292 (Fax)

Akira Narita

Mitsubishi Space Software Co., Ltd.

1-6-1, Takezono
Tsukuba-Shi
Ibaraki, 305-0032
Japan

Ziqiu Xue

RITE: Research Institute of Innovative Technology for the Earth ( email )

Kyoto, 619-0292
Japan

Geological Carbon dioxide Storage Technology Research Association

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
98
Abstract Views
604
Rank
485,733
PlumX Metrics