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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:


Goals



Goals

Objectives

Identify and prioritise production optimisation opportunitiesGenerate production and formation pressure forecasts based on the bottom-hole pressure and injection rates
Identify and prioritise redevelopment opportunitiesAssess productivity index of producing wells
Identify and prioritise surveillance candidatesAssess 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



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