Skip to content

derrickturk/aRpsDCA

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

75 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

aRpsDCA

an R package for Arps decline-curve analysis

aRpsDCA provides R implementations of functions for carrying out Arps decline-curve analysis on oil and gas production data.

aRpsDCA currently implements the following decline-curve types:

  • Exponential
  • Hyperbolic (and harmonic)
  • Hyperbolic with terminal exponential (aka "modified hyperbolic", "hyperbolic-to-exponential")
  • Any of the above with initial rate curtailment
  • Any of the above with initial linear buildup periods

aRpsDCA provides functions for

  • computing rate, cumulative production, and instantaneous decline over time
  • computing EUR and time to economic limit
  • performing best fits of various decline curve types to actual production data
  • rate, decline, and time unit conversions

aRpsDCA is released under the LGPL v2.1 and is free for commercial and non-commercial use.

The current "released" version of aRpsDCA is 1.1.1 and is available from CRAN.

The current pre-release version of aRpsDCA can also be installed from github using the devtools library:

install.packages('devtools')
devtools::install_github('derrickturk/aRpsDCA')

Release notes:
v1.0.0 (2014-04-03): initial release
v1.0.1 (2015-06-21): S3 methods for formatting now correctly print curve family; handling of Np for D = 0 is corrected
v1.0.2 (2016-01-06): evaluation of hyperbolic-to-exponential declines with Di = Df now handled correctly
v1.1.0 (2016-04-04): Arps declines with linear initial buildup periods, and fitting to interval-volume data; additional bug fixes for daily data and better initial guesses for decline parameters
v1.1.1 (2017-07-23): EUR for declines with buildup now handled correctly; zero results from arps.q and arps.Np when decline with buildup was passed with only post-buildup time values are now corrected

(c) 2017 dwt | terminus data science, LLC