/pyreservoir

Python utilities for reservoir engineering calculations

Primary LanguageJupyter NotebookMIT LicenseMIT

PyReservoir

Python utilities for reservoir engineering calculations

  • PVT analysis pvt
  • Volumetric mapping volumetrics
  • Well-test analysis welltest
  • Material balance matbal
  • Decline curve analysis dca
  • Fluid flow fluid_flow

Applications

  • pvt: Obtaining PVT properties using PVT correlation (pvtcorrelation); Processing PVT lab experiments such as DL, CCE, Flash Analysis, and CVD (pvtlab); EOS to produce PVT properties and phase envelope (pvteos)
  • volumetrics: Computing OOIP and OGIP using volumetric trapezoidal, pyramidal, and Simpson's 1/3 rule (volumetrics)
  • welltest: Modeling well transient response from multirate or multiple pressure data (wellflo); Simple well-test analysis on pressure drawdown and build-up data
  • matbal: Computing aquifer influx into a reservoir using Schilthuis, van Everdingen-Hurst, and Fetkovich methods (aquifer); Material balance plots for OOIP and OGIP verification for gas and oil reservoirs (mbal); Computing reservoir drive indices and producing energy plots (drives)
  • dca: Computing decline curve parameters from Arps arps_fit; Stochastic (bootstrapping) method to obtain the uncertainty of DCA parameters, in a form of 95% confidence interval arps_bootstrap
  • fluid_flow

Tutorials

See these tutorial Jupyter notebooks to get started with each of the libraries. See inside this folder to get the datasets used for the tutorials.

License

I consider the goodness of open-source program but I strongly recommend that anyone who wish to use any program in this package to consider the code authorship. This work is licensed with Creative Commons BY-NC-ND 4.0 International.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.