Incorporation of NAMs dynamic reservoir model into Cox rate-and-state model for monitoring earthquakes in the Groningen gas field
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arXiv
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866929518425407488 |
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| author | Baki, Zhuldyzay |
| author_facet | Baki, Zhuldyzay |
| contents | Induced seismicity due to fluid extraction or injection has become a critical issue in regions with extensive hydrocarbon production, such as the Groningen gas field in the Netherlands. This study examines the relationship between pore pressure changes from natural gas extraction and the resulting induced earthquakes in Groningen. We employ a Cox process-based rate-state model, integrating pore pressure data from NAM's dynamic reservoir model. By combining geomechanical and statistical approaches, we aim to predict future seismic events and assess the accuracy of our model. Our methodology uses Markov Chain Monte Carlo (MCMC) algorithms to estimate model parameters and forecast earthquake occurrences. The results highlight the significant impact of pressure changes on seismic activity, providing valuable insights for mitigating seismic risks in gas-producing regions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_18837 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Incorporation of NAMs dynamic reservoir model into Cox rate-and-state model for monitoring earthquakes in the Groningen gas field Baki, Zhuldyzay Applications 60G55, 62F15, 62M30 Induced seismicity due to fluid extraction or injection has become a critical issue in regions with extensive hydrocarbon production, such as the Groningen gas field in the Netherlands. This study examines the relationship between pore pressure changes from natural gas extraction and the resulting induced earthquakes in Groningen. We employ a Cox process-based rate-state model, integrating pore pressure data from NAM's dynamic reservoir model. By combining geomechanical and statistical approaches, we aim to predict future seismic events and assess the accuracy of our model. Our methodology uses Markov Chain Monte Carlo (MCMC) algorithms to estimate model parameters and forecast earthquake occurrences. The results highlight the significant impact of pressure changes on seismic activity, providing valuable insights for mitigating seismic risks in gas-producing regions. |
| title | Incorporation of NAMs dynamic reservoir model into Cox rate-and-state model for monitoring earthquakes in the Groningen gas field |
| topic | Applications 60G55, 62F15, 62M30 |
| url | https://arxiv.org/abs/2409.18837 |