Technology

HFPME · Real-time fracturing evaluation, zero downhole intervention

HFPME installs a high-precision pressure sensor at the wellhead Christmas tree and captures pressure waves at a 1–20 kHz sampling rate — 1,000× faster than conventional gauges. Three integrated analytical methods work together on a cloud-based platform to deliver stage-level fracture intelligence in real time.

Post-pump-stop water hammer

Continuous millisecond-scale pressure fluctuations during pumping, and the natural post-pump-stop water hammer effect, generate signals that propagate down the wellbore, interact with perforation cluster fractures, and reflect back to the wellhead.

Cepstral analysis · well testing · numerical simulation

Cepstral analysis locates fracture initiation; well-testing interpretation extracts reservoir deliverability from pressure decline; unstructured-grid reservoir simulation quantifies stimulated reservoir volume (SRV).

Cloud analytics platform

Powered by 90,000+ type-curve models from USTC. Multi-method convergence yields a single, cross-validated result per stage — not a single-algorithm output.

  • Stage scorecard: initiation quality, fluid uniformity, core SRV, secondary SRV, fracture network coefficient and SRV permeability
  • Cluster map: cluster-level production contribution heat map with dumb cluster identification
  • Risk alerts: real-time warnings for screenout risk, casing deformation and inter-stage communication
  • Optimization advice: cluster spacing, fluid intensity and diverter strategy
Pressure range0–175 MPa (25,400 psi)
Accuracy0.0001 MPa (0.0145 psi)
Sampling rate1–20 kHz (1,000× conventional)
InstallationWellhead only — no downhole cable, no downhole equipment
Deployment time< 1 hour
Operational downtimeZero
Data deliveryReal-time cloud analytics; initial report within 24–72 hours
Equipment portabilityCarry-on luggage size
Applicable operationsPropped fracturing · Acid fracturing
Not suitable forMatrix acidizing below fracture pressure

Value drivers · quantified impact

DriverMechanismImpact
Dumb cluster identificationPinpoint 20–30% of clusters consuming fluid but not producing15–30% IP increase
Stage optimizationEliminate ineffective stages; re-allocate fluid and proppantSignificant per-well cost savings
Risk mitigation10–30 second early warning for screenout and casing deformationAccident rate < 1% (vs. 5–8%)
Production enhancementPrecision fracturing guided by real-time data extends stable production3–5% recovery factor improvement
Accelerated developmentNo monitoring well drilling or downhole cable deployment needed15–30 days faster time-to-first-oil
SRV quantificationNumerical simulation delivers core SRV, secondary SRV, fracture network coefficient and SRV permeability per stageDirect input for productivity prediction and field development planning

Stimulation governance is not a novel idea — it is the same principle behind three practices every senior operator already accepts.

Owner’s Engineer principle

Every major EPC project retains an Owner’s Engineer to supervise the contractor. Stimulation operations deserve the same level of independent governance.

Independent Audit principle

No company is permitted to audit its own financial statements. The pumper should not evaluate its own job.

Reserves Audit principle

In any joint venture, partners commission an independent reserves audit before booking. HFPME applies the same standard to stimulation.

Peer-reviewed

HFPME technical case published in SPE Journal · Paper SPE-228229-MS (2025). Perforation cluster initiation accuracy > 90%, verified against downhole camera imaging in Daqing Oilfield.