The Science Behind SAFA

Acoustic Principles

Understanding how surface-based acoustic measurement reveals downhole behavior — from pressure signatures to actionable completions intelligence.

Tube Waves: The Signal in the Noise

During hydraulic fracturing, pressure changes at perforations generate acoustic waves that propagate through the fluid column to the surface. These tube waves carry information about downhole conditions — perforation friction, pipe friction, and cluster flow distribution — that is invisible to conventional treating pressure measurements.

Unlike treating pressure data, which represents an aggregate of all downhole activity, tube waves encode individual cluster-level behavior. This distinction is what makes acoustic measurement fundamentally more informative than pressure-based analysis.

Cluster-Level
resolution from a surface sensor

Treating pressure sees one aggregate number. Tube wave acoustics resolve individual cluster contributions within the same stage.

Surface Sensors Measure Downhole Behavior

SAFA sensors are installed at the surface — on the treating iron, upstream of the wellhead. No downhole tools, no wireline, no fiber optic cables. The sensors capture high-frequency acoustic signals that travel through the fluid column from the perforation clusters to the surface.

No Rig Time

No interference with pumping operations

Surface installation requires no changes to downhole hardware, pump schedules, or stage design. Deployment takes minutes, not hours.

No Downhole Tools

No wireline, no fiber, no gauges

Every measurement is derived from acoustic signals at the surface. No additional equipment enters the wellbore.

Pumper Agnostic

Compatible with any pumping company

SAFA integrates with the treating iron regardless of which pumping contractor is on location. No proprietary hardware lock-in.

Full Coverage

Deployable on every stage of every well

Because installation is surface-only, there is no cost or complexity barrier to running SAFA on every stage, building a complete acoustic record of the well.

From Signal to Measurement

Raw acoustic data captured at surface passes through a patented processing chain that separates meaningful downhole signals from pump noise and background interference.

1
Capture

Acoustic Signal Capture

High-frequency sensors detect pressure fluctuations in the treating iron caused by tube wave propagation from the perforation clusters through the fluid column.

2
Process

Signal Processing

Patented algorithms separate acoustic signals from pump noise, identifying individual cluster contributions within the composite waveform captured at surface.

3
Measure

Pipe Friction Measurement

Measured acoustic attenuation along the wellbore quantifies actual pipe friction, replacing assumed values derived from fluid correlations.

4
Resolve

Perforation Friction Measurement

Individual cluster flow rates derived from acoustic signatures reveal which perforations are taking fluid and which are not — intra-stage, in real time.

5
Quantify

Uniformity Index Calculation

Flow distribution across all clusters in a stage, expressed as a 0–1 metric where 1.0 represents perfectly uniform flow. R² = 0.92 correlation with 12-month cumulative production.

Validated Against Downhole Measurements

Acoustic measurements are validated against two independent downhole reference technologies across multiple basins and operators. Results are published in peer-reviewed SPE literature.

Validation 1

AFA vs. Bottomhole Gauge: 99% Match

Acoustic Friction Analysis (AFA) measurements match bottomhole pressure gauge readings with 99% accuracy. This confirms that surface-based acoustic measurement captures the same downhole information as direct measurement tools deployed in the wellbore.

Result
AFA = BHG ± 1%
Acoustic-derived friction values versus bottomhole gauge measurements across field deployments.
Validation 2

AFA vs. Fiber Optic: R² = 0.92

Published correlation between acoustic-derived flow distribution and distributed fiber optic measurements demonstrates that SAFA provides fiber-quality cluster characterization from the surface, without the cost or operational constraints of fiber deployment.

Published Result
R² = 0.92
Correlation between SAFA Uniformity Index and distributed fiber optic flow measurements. Published in peer-reviewed SPE papers.

See How SAFA Measures

Schedule a technical demo to see acoustic measurement in action — live data, signal processing walkthrough, and validation results from your basin.

Schedule a Technical Demo
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