ADNOC’s WAG injection operations required validation of CRM
connectivity analysis against full-physics forecasts. A key challenge
was that simulation forecasts often start from a BHP-controlled state
rather than the field’s true operational regime, leading to
unrealistic production trends and limiting the reliability of direct
well-by-well comparisons.
Objective
Align CRM-based injector–producer connectivity insights with
simulation forecasts.
Identify Efficient Producers that show response to changes in
injection strategy.
Develop a workflow for realistic, physics-consistent comparison
between CRM and simulation results.
Approach
Define True Efficient Producers – Wells whose production changes
significantly when injection rates are adjusted, determined through
simulation sensitivity analysis.
Validation Workflow –
Step 1: Run CRM with historical injectors and optimized injection
plan.
Step 2: Run simulation with the same groupings and fixed-rate forecast
starting from realistic operational states.
Step 3: Compare field-level directional trends, not per-well exact
matches, to account for differences in control logic and lag.
Cross-Match Analysis – Identify wells classified as efficient in both
CRM and simulation to confirm robustness of connectivity results.
Key Advantages
Physics-Consistent Comparison – Ensures that starting conditions and
trends in simulation forecasts match realistic field behavior.
Unified Validation Criteria – Combines CRM’s data-driven connectivity
with simulation’s modeling to improve confidence in injection
optimization decisions.
Targeted Optimization – Focuses on wells that truly respond to
injection changes, avoiding CAPEX on low-impact producers.
Results
Identified regions using hybrid models where gas was going into the
gas cap.
Out of 53 WAG injectors, 5 efficient producers were consistently
identified by both CRM and simulation.
Mapped injector–producer connections to guide targeted optimization.
A repeatable validation workflow for future CRM–simulation
cross-checks.
Impact
This work established a robust alignment process between
data-driven CRM insights and full-physics simulation outputs. The
approach enables ADNOC to confidently prioritize injection changes,
improve WAG efficiency, and focus operational resources on wells with
the highest production response potential.
