Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

Anchor
top
top

Info

This code forecasts the maximum magnitude, which may be triggered by injecting fluid in the enhanced geothermal systems (EGS). The models are from McGarr (2014), Hallo et al. (2014), Li et al. (2022), van der Elst et al. (2016) and Shapiro et al. (2013).

To obtain more general information about working with applications within the Platform, see Applications Quick Start Guide.


CATEGORY Geothermal

KEYWORDS Induced seismicity, Maximum magnitude

CITATION If you use the results or visualizations retrieved from this application in a publication, then you must cite the data source as follows:

Orlecka-Sikora, B., Lasocki, S., Kocot, J. et al. (2020) An open data infrastructure for the study of anthropogenic hazards linked to georesource exploitation., Sci Data 7, 89, doi: 10.1038/s41597-020-0429-3.

Input file specification

Import the seismic catalog and injection rate data from files already uploaded in your personal workspace

Filling form values

The following fields must be filled in:

  • Chosen Magnitude Column: Select the magnitude scale (e.g., ML, MW) from the imported catalog data. Note that the models are based on the "MW" scale. Other choices, such as "ML," may not produce valid results.
  • Time window length [h] (min. 0): Specify the length of the time window for computing the model(s) (Figure 2).

  • Time interval [h] (min. 0): Enter the time interval for stepwise computation. If you want to compute the entire dataset, set the time window to the total length of the recorded data with a 0 interval. In this case, only one set of values for each model and its parameters will be generated (check the "csv" file), and no plot will be displayed.

  • Time window type: Based on Figures 2 and 3a, choose between a moving or cumulative (extending) time window.
  • End time of the computations [days] (min. 0): If you want the models to be generated until a specific time, enter the desired value in days, starting from the beginning of the dataset. Otherwise, leave it blank, and the computation will continue until the end of the catalog data.

  • Minimum event count (min. 0): Set the minimum number of events in each time window to be used for computations.
  • Maximum magnitude model: As shown in Figure 3b, you can select models from McGarr, Hallo, Li, van der Elst, and Shapiro (refer to the application citations for more details). If you select 'all models', only the models (without parameters) are generated. In this case, the first option for the b-method and confidence level is used. If you select a specific model, additional parameters corresponding to that model will also be displayed and plotted. The parameters for all models are as follows:
    • Completeness magnitude [min, max]: Set the completeness magnitude of the catalog data. The minimum and maximum values are based on the imported catalog. To help with selecting an appropriate value, widgets are available to display histograms or cumulative histograms of the magnitude. You can also load a value from an external file (Figure 3c).

    • Friction coefficient [0.2, 0.8]: Enter the friction coefficient (Mu) of the reservoir rock.

    • Shear modulus of the reservoir [GPa] [1, 100]: Input the shear modulus of the reservoir rock.

    • Static stress drop [MPa] [0.1, 100]: This parameter is only required for the Shapiro model.

    • Geometrical constant [0.5, 5]: This is also specific to the Shapiro model.

    • b-method: Options for calculating the Gutenberg-Richter b-value with various frequency-magnitude distribution (Figure 1).
    • Confidence level [0, 1]: This applies only to the van der Elst model.

Image Added

Figure 1. Input window of the "Maximum Magnitude Deterministic/Probabilistic Model (MaxMagMod)" application.

Image Added

Figure 2. A schematic illustration of catalog data selection in the application. For injection data, cumulative injected volume is used at each step. Models are computed for inputs selected by the time window, which may proceed with a time interval. The time window could be moving or cumulative.

Image Added

Figure 3. Possible options for selecting (a) type of time window, (b) maximum magnitude models, and (c) completeness magnitude

Produced output

The result of the application is displayed on the plot. The numerical results for the models and parameters are also saved as a "csv" file (Figure 5).


Image Added
Figure 4. Interactive plot of results for (a) all models and (b) McGarr model.
Image Added
Figure 5. Output "csv" file

Back to top

Related Documents

Content by Label
showLabelsfalse
max5
spacesISDOC
showSpacefalse
sortmodified
reversetrue
typepage
cqllabel = "applicationexploratory_statistical_analysis" and type = "page" and space = "ISDOC"
labelskb-how-to-article