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

• 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

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.

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.

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