HyFTS April 2026
Virtual Webinar

The Case Against Uniform Stimulation

The central argument of this webinar is one that challenges a long-standing industry assumption: that treating every stage identically across a lateral is efficient stimulation. Tyler Szilagyi opens by presenting data showing that not all stages perform the same — and that pumping maximum fluid and proppant into every stage without reading real-time feedback is one of the most common sources of unnecessary spend and underperformance across North American completions.

ShearFRAC's approach turns surface pressure data — measurements already being collected on every frac job — into a live diagnostic feed. By analyzing pressure behavior during and after each stage, FracBRAIN® surfaces indicators like fracture complexity, stage efficiency, and near-wellbore tortuosity that inform exactly where to add or reduce investment. The result is a completion that responds to what the reservoir is actually doing, rather than executing a predetermined schedule regardless of signals.

Real-Time Decisions, Standardized Workflows

A recurring theme in Tyler's presentation is the challenge of operational consistency. When decisions are left to individual crew members or shift engineers, outcomes vary significantly — even on the same pad. ShearFRAC's playbook system addresses this by converting real-time pressure signals into pre-agreed decision criteria. If a stage exhibits underperformance indicators beyond a defined threshold, the crew receives a structured prompt to adjust the pump schedule. This removes ambiguity and creates auditability: every decision is logged, reviewable, and improvable over time.

The webinar presents examples from recent Delaware Basin deployments where this workflow contributed to over $1.5 million in cost savings across 19 wells by reducing fluid and proppant on underperforming stages — without sacrificing production. In one documented case study, automated identification of underperforming stages yielded measurable revenue uplift while simultaneously lowering total completion cost per well.

Seismicity and Casing Risk: Prevention Over Response

The Richter Predictor portion of the webinar focuses on what Tyler describes as a fundamental shift in how operators manage induced seismicity risk: from reactive monitoring to predictive detection. The technology identifies stick-slip pressure precursors in the surface data — patterns that appear before a seismic event escalates — and provides a risk-level assessment in real time. In one documented Montney Basin case, Richter Predictor flagged precursory signals ahead of a 4.6 magnitude event, giving operators the window to modify operations before damage occurred.

For operators in regulated seismic zones, this capability is increasingly tied to regulatory compliance requirements. Tyler walks through the protocol workflow and shows how Richter Predictor integrates with existing completions operations — requiring no additional hardware or downhole tools.

FDI Mitigation: Protecting Child Well Production

Fracture-driven interactions (FDIs) remain one of the most costly risks in infill drilling programs. The webinar dedicates significant time to ShearFRAC's FDI Playbook — a real-time monitoring and mitigation system for multi-well pads. Tyler presents the Eagle Ford case study where real-time FDI mitigation enabled the operator to place 63% more stages than would otherwise have been possible, resulting in a 25% production uplift. The mitigation workflow functions by detecting pressure communication with offset wells early and presenting structured response options to the completion team before production damage escalates.

Looking Ahead: The Automation Horizon

Tyler closes the webinar by addressing where this technology is heading. The standardization enabled by ShearFRAC's platform — consistent decision criteria, logged outcomes, and repeatable workflows — is the foundation required for true frac automation. As operators accumulate more data through real-time guided completions, the decision models improve, and the gap between expert-guided and fully automated operations narrows. The path isn't a leap — it's the natural progression of the workflows already being executed today.