Well-Link Intelligent Injection-Production targets injection-production balance challenges in high-water-cut oilfield development. It connects injection wells, production wells, intervals, and well-pattern relationships, upgrading adjustment work from experience-based judgment to model-assisted decision-making.
The system covers four steps—understanding field conditions, calculating responses, generating plans, and tracking execution—to help engineers quickly identify problems, create adjustment plans, and review optimization results.
Aggregate dynamic data including injection, production, pressure, water cut, and valve position.
Evaluate post-adjustment trends in production, water cut, and pressure.
Output recommendations for injection volume, interval allocation, and valve settings.
Track execution results and support rolling optimization.
Integrate production dynamics, intervals, porosity-permeability, and wellbore information to predict the impact of different adjustments on well-group behavior.
Determines: Will the adjustment be effective?Optimize across production, water cut, pressure, and equipment constraints to generate executable recommendations.
Answers: How can we adjust more effectively and steadily?Connect with field control systems to track plan dispatch, execution feedback, and performance changes, forming continuous optimization.
Confirms: Was the plan executed, and how did it perform?From issue identification to field execution, build a clear, traceable, and reviewable workflow.
Move injection-production management beyond offline analysis and manual circulation into a field closed loop for continuous optimization.
Identify injection-production imbalance, abnormal fluctuations, and low-efficiency cycling.
Predict dynamic responses after injection-production adjustments.
Generate recommendations for injection volume, valve position, and intervals.
Track execution results and perform rolling optimization.
The goal is to make injection-production management more accurate, stable, efficient, and transparent.
Connect downhole operations, surface systems, and development decisions so data supports judgment, models serve production, and plans move into field execution.
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