KartaSoft Dynamic DRA Intelligence

Make Better DRA Decisions Under Changing Operating Conditions

Independently Validated

Used by Fortune 500 Companies

Supports Regulatory and Audit Review

Physics-Informed Methodology

Quiet losses in static DRA programs

Injection schedules usually aim to protect throughput, manage pressure, and avoid unnecessary chemical use.

But during transient conditions, static curves can fall behind what the line is actually doing.

Batch transitions change fluid behavior. Pump starts, stops, and reconfiguration change hydraulic response. Temperature and flow shifts change treatment needs. Segment variability can make one corridor respond differently from another.

Chemical over-application

Throughput margin left unreviewed

Built for the operating reality static curves miss

Context that moves with the line
Interprets live line conditions alongside batch and injection history, so teams are not relying on static assumptions during dynamic operating periods.

Corridor learning, not averages
Learns how each selected corridor responds to product mix, flow regime, and temperature, rather than flattening performance into broad averages.

Evidence before expansion
Creates a structured record of baseline conditions, curve matching, segment characterization, ppm movement, throughput deltas, and quantified margin opportunities.

*Example only, output is configured to match customer preferences

Hydraulics behind every review
Compares observed behavior with expected hydraulic response, giving engineers a clearer basis for review.

Advisory by design
Works above the existing operating environment. No control-system change. No rip-and-replace project.

Turn transients into operating context

Connect live SCADA, batch tracking, pump events, temperature, flow, and injection history so teams can understand when current operating conditions deviate from static-curve assumptions.

SCADA and batch tags mapped during setup; current injection logic documented against live operating patterns.

*Example only, output is configured to match customer preferences

Review injection with segment-level evidence

Evaluate how each selected segment responds to product mix, flow regime, and temperature instead of treating the line as an average. Advisory outputs support engineering review of where injection strategy may deserve closer attention.

Build a measured business case before scale-up

The 12-week setup gives operations, engineering, and leadership a shared evidence base. Teams can review ppm movement, throughput deltas, missed margin, and chemical-use patterns before expanding the program.

KPI validation in weeks 9-12; scale-up tied to measured value.

KartaSoft
Dynamic DRA

Outputs are auditable, repeatable, and suitable for regulatory and internal review

Start with one corridor

KartaSoft helps pipeline teams review DRA performance against the conditions the line actually sees, giving operations, engineering, and leadership a clearer basis for chemical spend, throughput margin, and power-cost decisions.