ABK Field in ADNOC

Overview

ADNOC sought to optimize waterflood management and field development planning (FDP) across multiple reservoirs. Traditional approaches—manual pattern analysis and full-physics simulation—took 6–18 months and limited the ability to evaluate multiple scenarios, slowing optimization and reducing confidence in well and injection planning decisions.

Objective

Deploy Resermine’s HawkEye Surveillance™ and HawkEye FDP™ to:

Automate reservoir surveillance and connectivity analysis for the entire field.
Identify high-impact injectors, optimize injection rates, and recommend conformance/maintenance jobs.
Evaluate infill drilling opportunities and optimize well trajectories.
Reduce planning time while increasing oil recovery and lowering CAPEX.

Approach

The project integrated hybrid modeling workflows—CRM (production/injection data), FMM (geological models), and ML—into a single automated platform.

Connectivity

Combined multiple models to quantify injector–producer connectivities and isolate impact of injectors on oil impact.

Injection Efficiency & Optimization

Ranked injectors by oil contribution and generated optimum injection rates under operational constraints.

FDP Optimization

Generated Relative Opportunity Ranking (ROR) maps and ran global optimizers for well placement and trajectory design.

Alternate Planning

Prepared alternate trajectories to ensure equivalent oil in case of drilling challenges.

Results

Identified high-oil-contribution injectors for targeted optimization.

Recommended new injection rates projected to increase oil production.

Generated infill drilling opportunities with optimized well trajectories.

Extended planning capacity to multiple reservoirs within the project timeline.

Key Advantages

Speed

Reduced surveillance and optimization time to 2–4 weeks.

Coverage

Full-field analysis with integration of geological, production, and injection data.

Flexibility

Scenario testing for water, gas, and WAG injection strategies.

Accuracy

Validated against simulation and tracer analysis.

Impact

"The pilot demonstrated that ADNOC can transition from manual, pattern-based surveillance to automated, full-field optimization, achieving higher recovery potential in weeks instead of months. The methodology supports ADNOC’s “More with Less” strategy—maximizing recovery while reducing unnecessary CAPEX."