Demonstration · Illustrative data · BI Consulting Services

Stasis Drilling Solutions × BI Consulting Services

MPD rental fleet · Houston, Texas · Rental Revenue Forecast Board
Prepared for Nathan
SEPTEMBER 2026 · DEMO BUILD v1

12-month probability-weighted rental revenue forecast

Every project in the pipeline is projected forward from its estimated start date: daily rental rate × expected on-rent days × probability of capture. The board replaces the Revenue Projection template and the historical tracker with one live view you can filter for shareholder updates — and every figure recalculates when you change a filter.

Weighted vs. unweighted revenue by month

Bars = probability-weighted forecast · line = unweighted pipeline · shaded base = contracted backlog (100% probability)

Weighted forecastContracted backlogUnweighted pipeline

What this board answers

Three questions from the June 2024 conversation, answered from the current filter

Project timeline ribbon — start date × daily rate × probability

Each bar is one project: horizontal span = estimated start to end, bar height = daily package rate, shade = probability of capture. Hover a bar for the weighted revenue it contributes.

Weighted revenue by basin

Within the selected horizon

Pipeline by probability band

Unweighted value → weighted value, per band

Backlog vs. forecast

How much of the horizon is already contracted

Fleet utilisation grid — expected units on rent, by unit class and month

Illustrative 24-unit fleet: 6 Helix™ control systems · 8 Titan 5 RCDs · 6 Hydra-Balance choke manifolds · 4 Coriolis flow-meter skids. Cell = probability-weighted units on rent ÷ units in class.

Ask the data

Natural-language layer over the same model — a mock of the question Nathan raised in the original call

Question

Answer · generated from the forecast model
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Private AI on your own server

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Private AI Servers — slide 1 of 14
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