EcoInject makes the backend model meaningful for operators. The analytics dashboard highlights risk, waste, and opportunity across wells so field teams can act with confidence.
This page focuses on the front-end view: what the analytics show, how AI insights are generated, and why that clarity matters in the field.
Each well record includes an optimized methanol injection rate, a predicted hydrate dissociation temperature, and a categorical risk rating. These values are generated by the same ML surrogate model trained to replace slow traditional simulation workflows.
Operators need more than a single number. The dashboard makes it easy to compare wells, identify high-risk conditions, and validate that injection rates are safe and efficient. It can also surface live SCADA metrics like tank levels and flow assurance status alongside model recommendations.
EcoInject brings key well signals together in a single dashboard: per-well recommendations, risk scores, historical injection trends, and fleet comparison so the next intervention is always clear.
The platform gives operators a single view of every well — recommended injection rates, hydrate risk scores, historical trends, and AI-generated insights that flag what needs attention and why.
Click to enlarge. Showing well-level predictions, hydrate risk classification, and time-series injection history. UWI scrubbed to protect operator confidentiality.
EcoInject turns model output into plain-language insights, highlighting wells that are under-protected, over-injecting, or drifting into risk conditions — so your team knows exactly where to focus.
This well ran on just two flat injection rates all year — 0.627 bbl/day through April, then stepped down to 0.127 bbl/day in May with no further adjustment. The set-it-and-forget-it approach left the well under-protected for 83 days with near-continuous hydrate risk during cold weather, then over-injected by up to 60× in summer.
Dynamic daily dosing would have eliminated the risk days and recovered approximately 33.5 bbl of methanol — roughly $13,400 in recoverable spend from a single well.
The analytics page is designed to bridge the gap between model predictions and real operations. It gives field teams an easy way to review well status, check risk levels, and make decisions with confidence.
