Specific type of Production Analysis (PA) workflow based on correlation between multi-well production/injection history and permanent downhole gauges (PDG) data records.
The key simulation engine of MRT is pressure convolution which is based on Unit-rate Transient Responses (UTR) retrieved from Production rates / PDG data history by means of pressure deconvolution.
It does not require new data acquisition at well site and makes use of historical dynamic data records, usually few months or longer.
Goals
The ultimate purpose of MRT is to extract maximum information from correlation between the long-term (few months or longer) flowrate and BHP history.
This information is further related to well flow performance and cross-well connectivity.
Objectives
Inputs
| Primary Inputs | |
|---|---|
| PVT model | |
| Flowrate history far all wells | |
| Bottom-hole pressure history for at least one well | |
| Additional Inputs | |
| Well location | |
| Well schematics | |
| Well tests | |
| Formation pressure (DST/WFT) | |
| Production Logging Reports | |
| Pressure Transient Survey reports | |
| Workover history |
Outputs
| Production History | |
|---|---|
| Simulated flowrate history | |
| Simulated bottom-hole pressure history | |
| Simulated formation pressure history | |
| Simulated Productivity Index history | |
| Simulated cross-well interference history | |
| Production Forecast | |
| Rate forecast based on pressure control regime8 | |
| BHP forecast based on liquid control regime | |
| Formation pressure forecast based on liquid control regime | |
| Diagnostic Metrics | |
| Cross-well interference map | |
| UTR Matrix | |
| UTR Atlas | |
| IPR | |
| Hall Plot | |
| Productivity Index | |
| Potential drainage volume | |
| Dynamic drainage volume | |
| WOR diagnostics | |
| GOR diagnostics | |
| Apparent transmissibility | |
| Apparent skin-factor | |
| Fracture half-length |
Applications
| Production forecasts | |
|---|---|
| Predict formation pressure without shutting wells down and avoiding production deferment | |
| Short-term production forecasts for different production scenarios | |
| Selecting well-intervention candidates | |
| Identify well-intervention candidates with possible thief production/injection | |
| Identify well-intervention candidates with possibly inefficient reservoir flow profile | |
| Identify well-intervention candidates for Rate Optimization | |
| Identify well-intervention candidates for producer ↔ injector conversion | |
| Dynamic Model Calibration | |
| Adjusting historical production allocation | |
| Adjusting the potential reservoir volume extension at different directions | |
| Adjusting faults / channels / compartmentalization | |
| Adjusting fracture model | |
Example
 | |
| Fig. 1. Well locations with current production bubble map over the structural map | Fig. 2. Production / Injection history |
|
Fig. 3. UTR output diagram from MDCV which is a key element of MRT. The column wells showing pressure response to row wells. Diagonal elements are showing self-response DTRs. Non-diagonal elements showing cross-well response CTRs. |
See Also
Petroleum Industry / Upstream / Production / Subsurface Production / Field Study & Modelling / Production Analysis
[ Material Balance Analysis ] [ Capacitance Resistance Model (CRM) ] [ Pressure convolution] [ Pressure deconvolution ] [ Pressure Transient Analysis (PTA) ]
[ MDCV ]
[ RDCV ][ RDCV @model ][ RDCV @sample ]
[ XDCV ][ XDCV @model ][ XDCV @sample ]