BEYOND REAL-TIME VISIBILITY

A New Standard for Completions Execution

Corva’s Guided Frac helps completions teams execute every stage with greater consistency. Combining real-time guidance, intelligent alerts, and performance benchmarking, it improves design adherence while reducing operational variability.

Execute Every Stage with Greater Consistency

Completions performance is often limited by execution variability. The same treatment design can produce different outcomes depending on the crew, shift, equipment, or operational decisions made in the field. At the well level, variability stays hidden inside aggregate metrics like PPF, GPF, and PPG. Non-compliant stages can increase costs by 10% to 30% more than compliant stages, with roughly double the cost variability.

 

Guided Frac provides real-time decision support that connects design intent directly to live operations. By combining treatment visualization, intelligent alerts, adherence tracking, and post-stage evaluation, operators can identify deviations sooner, reduce operational variability, and keep execution aligned with plan.

Consistency

Standardize Execution Across Crews and Fleets

Repeatability

Reduce Stage-to-Stage Variability

Risk Awareness

Detect Deviations Before They Become Costly Problems

Target Alignment

Improve Adherence to Fluid, Proppant, and Pumping Targets

Benchmarking

Create a Measurable Operational Baseline for Continuous Improvement

Cost Control

Reduce Excess Costs Associated with Non-Compliant Stages

VISUALIZE TREATMENT EXECUTION AGAINST DESIGN INTENT AS THE JOB UNFOLDS

Real-Time Intelligence for Every Stage

Alert GenIE

Alert GenIE combines intelligent alerting with operator feedback to reduce noise, prioritize risks, and support more consistent decision-making across crews and shifts.

Stage Compliance Reporting

Evaluate every stage against defined performance criteria, providing a consistent baseline for benchmarking crews, vendors, fleets, and programs.

Root-Cause Analytics

Guided Frac links operational decisions to execution outcomes, helping engineers identify recurring patterns and apply lessons learned to future stages, wells, and completions programs.

WHERE EXECUTION MEETS INTENT

Bring Greater Precision to Every Frac Stage

Proven at Scale

Across 9,000+ stages on multiple fleets:

  • 39% lower slurry deviation, tightening execution to design
  • 27% faster time to rate, improving by 6 minutes
  • 22% lower proppant deviation, converging on design intent

Operation Impact

Reduce Variability. Improve Cost Control.

  • Improve adherence to treatment design
  • Reduce fluid, proppant, and chemical overages
  • Improve time-to-rate performance
  • Increase consistency across crews and shifts

Measure, Benchmark, and Improve

Guided Frac automatically evaluates treatment performance after each stage, providing a structured framework for continuous improvement and AFE cost estimates. Compare performance across:

  • Crews
  • Fleets
  • Pads
  • Measure, Benchmark, and ImproveCompletions programs
  • Historical operations

FROM GUIDED EXECUTION TO AI-ASSISTED DECISIONS

The Foundation for Predictive Completions

 Consistent execution creates the operational data foundation required for advanced optimization and predictive workflows. Capabilities Include:

Treatment design recommendations informed by historical adherence, offset performance, and operational outcomes.

Early identification of elevated screenout risk and formation damage indicators before they impact operations.

Early prediction of pressure behavior before changing conditions impact treatment execution.

Intelligent cost recommendations informed by an optimization function that evaluates vendor contracts and current pumping conditions to deliver real-time, operator-facing recommendations that support lower pumping costs.

Execute with Greater Consistency. Optimize with Confidence.

Guided Frac helps completions teams reduce variability, improve design adherence, and build the operational foundation for the next generation of predictive completions.