Standards › Production
Arps decline
Production forecasting and decline (Arps)
Ask Deckhand to forecast a well's decline and estimate ultimate recovery using the Arps decline-curve models.
What you can ask it to do
- Fit a well's history to an Arps model — exponential, hyperbolic or harmonic.
- Forecast future rate and estimate ultimate recovery (EUR).
- Report the decline parameters and the forecast assumptions.
Why it matters
Reservoir, production and asset engineers forecast estimated ultimate recovery (EUR) and remaining reserves one well at a time from rate history. Doing it consistently across a whole field — picking the decline exponent b, fitting the same way every time, and reconciling the forecast to an economic cut-off — is repetitive and easy to do subjectively. A standards-traceable Arps fit gives every well the same defensible treatment with the parameters and assumptions written down.
The method — governing equations
Arps decline-curve analysis fits the rate history to one of three empirical models and integrates to recovery at the economic rate:
where qi is the initial rate, Di the initial nominal decline rate, b the decline exponent and qab the economic abandonment rate. The parameters qi, Di and b are fitted by regression to the history; EUR is the cumulative produced to date plus Np from the current rate to qab.
These are the standard Arps relationships. No numeric example is shown here on purpose — the calculator and Deckhand fit the parameters and compute the forecast and EUR deterministically from your rate history, so every figure is reproducible and traceable.
What a screening check covers — and what it does not
Covers
- Single-well, single-phase boundary-dominated (depletion) decline fits.
- Exponential, hyperbolic and harmonic models with fitted qi, Di, b.
- Forward rate forecast and EUR to a user-supplied economic rate.
- A parameter report with the fit assumptions stated.
Does not cover
- Transient / early-time flow before boundary-dominated decline, where Arps over-forecasts.
- Modified-Arps terminal decline or multi-segment fits unless specified.
- Rate-transient, material-balance or numerical-simulation methods.
- Well interference, workovers, choke changes, commingled allocation, or economics and pricing.
The screening assumes the history reflects established decline under roughly constant operating conditions; wells in transient flow or with operational changes need a method-of-record review.
Related standards
Part of Wells & Subsurface · see the platform engine
Questions
What is Arps decline-curve analysis?
The standard empirical method for forecasting oil and gas production decline — exponential, hyperbolic or harmonic — and estimating ultimate recovery from the rate history.
What does Deckhand return?
The fitted decline parameters, a forward rate forecast, and the estimated ultimate recovery with the assumptions stated.
Run Arps decline on your own inputs
Every capability is free to explore — open the published dataset behind the check and read the numbers yourself.
Explore capabilities →