Physics-aware AI and data science for energy RIGLOGICOS / LANDING SYSTEM 001
Rig-stack intelligence

The rig stack, made computable.

RigLogicOS models the whole rig stack, from reservoir and wellbore to rig, field facilities, and the data they produce, so engineering calculations run on live physical context. It starts with the BOP: an API 16D check of the control unit.

Explore the offering See the system
16DCurrent BOP calculation solution
AI + DSModels tied to physical context
Stack viewInteractive rig-system map
Live rig stackOil flows up the stack · data flows up to RigLogicOS
Live rig stack from reservoir to data layer Cross-section of an oil field. Oil moves through the reservoir rock into a pumped well and a horizontal flowing well, rises to the surface, and runs through flowlines to a separator, into tanks, and out to export. A drilling rig with a BOP stack drills toward the reservoir. Sensors on the rig, wells, separator, and tanks send data packets up to the RigLogicOS data layer at the top. BOP RIG 1 · DRILLING WELL A WELL B SEPARATOR TANKS EXPORT RESERVOIR · 4,000 PSI
The whole rig stack · 5 layers

Oil moves up the stack. Data moves up to RigLogicOS.

Follow oil from the reservoir through the wells and field facilities, while every sensor along the way streams into one data layer. Pick a layer to see what it measures, or open the choke to watch the physics respond.

  • Reservoir to export
  • 5 sensor groups
  • Simulated live values
Well B inflow · Vogel IPRSimplified model
4,000 0 BHP, psi 0 Oil rate, bbl/d 2,400
Oil rate1,631 bbl/d
Bottomhole2,080 psi
Drawdown1,920 psi
Oil flow Data packets Simulated field for illustration
Platform direction

Simple enough for the field. Deep enough for engineering.

RigLogicOS is designed for energy teams who need practical workflows, not another dashboard maze. It connects rig equipment, standards-based calculations, AI assistance, and data science into one understandable layer.

01 / Interactive rig model

Whole-stack visibility

Move from isolated calculations to a connected view of mast, riser, BOP, choke and kill lines, sensors, and wellbore context.

02 / AI and data science

Models with context

Use AI and analytics around physical systems, engineering standards, and operational constraints, so recommendations stay grounded.

03 / Standards workflows

Calculation-first foundation

Begin with a focused 16D BOP calculation, then expand into more engineering workflows as the platform matures.

Physics-based page behavior

The page responds like a system.

Move your pointer over the simulation and the particles react. The visual language is intentionally simple: engineering teams can see data flow, pressure context, and model activity without decoding a complex UI.

Data particlesPointer field
Available now / Solution 01

16D BOP calculation

Size and check BOP control systems against API 16D in one repeatable workflow. Engineers describe the stack and the accumulator unit in gallons and psi, and get a clear result benchmarked against API Annex 16D references.

  • Accumulator sizing for BOP control units
  • Benchmarked with API Annex 16D
  • Plain engineering inputs, no code
  • Pass / fail with margin and references
See the 16D check
Example calculationIllustrative values

Surface BOP control unit

Inputs
Accumulator bottles
10 × 15 gal
Nitrogen precharge
1,000 psi
System pressure
3,000 psi
Minimum operating pressure
1,200 psi
Result
Fluid required by BOP functions60.0 gal
Usable fluid available75.0 gal
Pass · 15.0 gal marginPressure after closing: 1,364 psi, above the 1,200 psi minimum

Built for energy teams who need clarity quickly.

Interactive today, extensible tomorrow, and grounded in the first real calculation workflow.

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