A review of source models to further the understanding of the seismicity of the Groningen field
- The occurrence of felt earthquakes due to gas production in Groningen has initiated numerous studies and model attempts to understand and quantify induced seismicity in this region. The whole bandwidth of available models spans the range from fully deterministic models to purely empirical and stochastic models. In this article, we summarise the most important model approaches, describing their main achievements and limitations. In addition, we discuss remaining open questions and potential future directions of development.
| Author details: | Daniela KühnORCiD, Sebastian HainzlORCiDGND, Torsten DahmORCiDGND, Gudrun RichterORCiDGND, Ismael Vera RodriguezORCiD |
|---|---|
| DOI: | https://doi.org/10.1017/njg.2022.7 |
| ISSN: | 0016-7746 |
| ISSN: | 1573-9708 |
| Title of parent work (English): | Netherlands journal of geosciences : NJG |
| Publisher: | Cambridge Univ. Press |
| Place of publishing: | Cambridge |
| Publication type: | Article |
| Language: | English |
| Date of first publication: | 2022/05/27 |
| Publication year: | 2022 |
| Release date: | 2024/02/22 |
| Tag: | deterministic; empirical; hybrid; machine learning; seismicity model |
| Volume: | 101 |
| Article number: | e11 |
| Number of pages: | 12 |
| Funding institution: | Dutch State Supervision of Mines (SodM) |
| Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften |
| DDC classification: | 5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften |
| Peer review: | Referiert |
| Publishing method: | Open Access / Gold Open-Access |
| DOAJ gelistet | |
| License (German): |  CC-BY - Namensnennung 4.0 International |
