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AnnRG

Ystroem, Lars H. ORCID iD icon 1; Vollmer, Mark; Nitschke, Fabian 1
1 Institut für Angewandte Geowissenschaften (AGW), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

AnnRG - An artificial neural network solute geothermometer

- Version 0.03: M. Vollmer (KIT), L. H. Ystroem (KIT) - June 2023
An artificial neural network solute geothermometer trained by data from the measured reservoir temperatures worldwide. Using a feedforward multilayer perceptron to solve the regression analysis of fluid chemistry and reservoir temperature.


BibTeX (UTF-8) BibTeX (ASCII) EndNote/Refer (.enw) RIS CSL-JSON ISI
Zugehörige Institution(en) am KIT Institut für Angewandte Geowissenschaften (AGW)
Publikationstyp Forschungsdaten
Publikationsdatum 15.11.2023
Erstellungsdatum 31.08.2020 - 30.06.2023
Identifikator KITopen-ID: 1000165512
HGF-Programm 38.04.04 (POF IV, LK 01) Geoenergy
Lizenz MIT
Projektinformation MALEG (BMWE, 03EE4041B)
Schlagwörter AnnRG
Liesmich

INPUT:

  • cvs-file:['pH','Na','K','Ca','Mg','SiO2','Cl','Temperature']

OUTPUT:

  • graphical output of predicted vs. measured data plus error diagrams
  • array of errors and predictions

PLEASE NOTE:

  • The solute ANN geothermometer was programmed in Python 3.8 with associated libraries: pandas, matplotlib, numpy, seaborn, tensorflow, keras

INSTRUCTION:

  • To use the geothermometer, Python (3.8) and associated libraries must be installed
  • Training data and new unknown data must be in the recommended csv-file template: ['pH','Na','K','Ca','Mg','SiO2','Cl','T']
  • csv-input-files must be renamed within the code (lines 59 & 151)
  • Start the ANN via the Run-button
  • Results are visualised in "plots" and output text on the console
  • Further results can be picked from the variables
Art der Forschungsdaten Software
Relationen in KITopen
URL https://gitlab.kit.edu/lars.ystroem/annrg
Referent/Betreuer Kohl, Thomas
KIT – Die Universität in der Helmholtz-Gemeinschaft
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