A set of mathematical models relating production rate history of one well to its bottomhole pressure history and offset injection rates history.
In case the bottomhole pressure data is not available it is considered constant over time.
The CRM is trained over historical records of production rate, injection rates and bottomhole pressure variation.
The major assumptions in CRM model are:
- productivity index of producer stays constant in time
- dynamic drainage volume of producer is finite and constant in time (which is equivalent to PSS flow regime)
- total compressibility within the drainage volume of a given producer stays constant in time
Goals
Goals | Objectives |
Identify and prioritise production optimisation opportunities | Generate production and formation pressure forecasts based on the bottom-hole pressure and injection rates |
Identify and prioritise redevelopment opportunities | Assess productivity index of producing wells |
Identify and prioritise surveillance candidates | Assess dynamic drainage volume around producing wells |
Quantify connectivity between injectors and producers | |
Assess water flood efficiency against expectations and / or between wells or well groups |
Objectives
Advantages
Fast-track |
Based on the robust input data |
Does not involve full-field 3D dynamic modelling and associated assumptions |
Limitations
It only models injector-producer system |
Requires eventful history of injection rates variations |
Requires productivity index of producers to stay constant |
Requires production sharing between producers stay approximately the same throughout the time |
Technology
CRM trains linear correlation between variation of production rates against variation of injection rates with account of bottom-hole pressure history in producers.
against material balance and require current FDP volumetrics, PVT and SCAL models.
The CRM has certain specifics for oil producers, water injectors, gas injectors and field/sector analysis.
See Also
Petroleum Industry / Upstream / Production / Subsurface Production / Field Study & Modelling / Production Analysis
Capacitance-Resistivity Model @model
References
https://doi.org/10.2118/147344-MS
https://doi.org/10.2118/177106-MS