Frac Water Supply & Field Development
Forecast Demand, Align Sources, and Keep Frac Water Available When and Where It’s Needed
BUILT FOR:
Completions Engineers, Water Engineers, Field Staff
Overview
Completions engineers, water engineers, and field staff face a constant challenge aligning water availability with changing frac schedules. Each new pad, timing shift, or sourcing constraint raises the risk of under-supply, wasted trucking, or unexpected treatment costs.
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Barreleye helps teams make confident decisions about sourcing, timing, and delivery by providing one shared plan across operations. Users build models that mirror real-world field conditions including water sources, layflat routes, storage pits, and constraints so they can forecast supply, simulate costs, and ensure water is sourced, stored, and delivered on time. As frac schedules shift, Barreleye updates plans in real time with full cost visibility, helping teams adapt quickly, avoid operational delays due to water unavailability, and stay aligned across development and field execution.
3 Core Problems We Solve
Uncertain Water Availability for Fracs
No Clear View of Cost Impact
Hard to Choose the Right Fresh, Brackish, and Recycled Water Mix
Teams struggle to answer, “Do we have enough available water without needing additional sources—and if not, what is the cost impact?” Without a unified model, it’s hard to see shortages early or plan when to start moving water.
Every frac schedule change raises questions: “What is the cost impact of these changes? Can we reduce water costs by shifting the schedule?” Spreadsheet-driven planning makes it slow and difficult to quantify, visualize and communicate those impacts across sources, storage, and delivery.
Planners must decide which mix of fresh, brackish, and recycled water to use for each frac operation, with each option carrying different sourcing distances, treatment requirements, and cost implications. They ask, “Can we utilize brackish or recycled water for all our fracs instead of fresh water, and if so, at what cost?” Comparing these tradeoffs is painful without integrated data and the ability to create alternative scenarios.
