Automated, born-qualified meshing isn't just a productivity tool — it's a decision tool. It turns better subsurface models into the injection, spacing and permitting calls that move tens of millions of dollars.
Meshing sits upstream of every subsurface decision. Get the mesh right and the calls it feeds — where to inject, how to space, what to promise a regulator — move real money.
$10M+ per year in decision value
$10–50M per program in decision value
Illustrative, order-of-magnitude bands built on public anchors (45Q credit, published NPV ranges) — your numbers on a pilot.
Before a single decision improves, the operational savings have already paid back the license. Everything above that line is upside.
Compressed cycle time means the revenue-grade answer lands while it can still change the call — not after the well is drilled.
Higher-quality, less grid-biased inputs mean the model you bet on is the one worth betting on.
Cheap UQ ensembles turn a single fragile forecast into a defensible confidence interval.
AutoMesh-Geo works across all five oil & gas reservoir segments — we’re launching first with the two where the mesh moves the most money: CO₂ storage and fractured / unconventional, with the rest on the roadmap.
In CO₂ storage the predicted plume and pressure front are the regulated asset — they drive the permit, the monitoring plan, the 45Q credit and decades of liability. So mesh quality isn’t cosmetic. Buoyant CO₂ is an unstable, fingering displacement that structured grids tend to suppress and under-predict, while a true Voronoi mesh keeps flux faces orthogonal and limits grid-orientation and dispersion error — making that fidelity routine instead of a special study.
The biggest lever is schedule. A Class VI permit’s Area of Review is delineated straight from flow simulation, and those permits have historically taken years. Turning a geomodel into a qualified mesh in hours lets an operator delineate the AoR faster and re-run quickly every time the regulator asks for a revision — pulling first injection forward. At roughly 1 Mt/yr against the $85/t 45Q credit, a single year of acceleration runs on the order of $10M+.
The rest is risk. Because credits and liability ride on the modeled plume, better, more consistent meshing means defensible capacity and injectivity estimates, less exposure to credit clawback, and fewer surprises that trigger re-permitting. And because randomized Voronoi meshes make ensembles cheap, you can put real confidence intervals on whether CO₂ reaches a monitoring well and when — the probabilistic, defensible statements regulators and credit buyers increasingly expect. It removes a well-defined class of numerical error; it doesn’t claim to erase geologic uncertainty.
This is where a conforming Voronoi mesh is worth the most — dense fracture networks and long horizontal, multilateral wells feeding the two decisions with the largest NPV swings: well spacing and completion design. Push-button meshers break down exactly here, and fractured-well forecasts are genuinely mesh-dependent, so removing the meshing bottleneck has outsized leverage.
Spacing is the dominant lever: place a child well wrong and frac-driven interference can erase more than half its value; co-optimize it well and the upside across a program is enormous. Orthogonal Voronoi meshing plus cheap mesh-ensemble UQ produces better-calibrated, less grid-biased forecasts and lets a team screen far more spacing, stacking and completion scenarios before capital is committed. On a single ~100-well program that decision quality is worth on the order of $10–50M, with credible upside into the hundreds of millions on large multi-pad regions.
Underneath the decisions, the operational savings quietly pay for the tool: deterministic one-click meshing removes the late-surfacing remesh loop and protects tight frac-program and pad-sanction windows. As in CCS, the labor savings essentially cover the license — the business case lives almost entirely in better spacing and completion calls.
Bring one pilot case. We'll mesh it, run the ensemble, and show you the decision it changes — in dollars, on your own model.