Ask in plain English. Lumiquant’s agents pull the data, run the workflow, and hand back an engineering answer you can audit — reserves, pressures, economics.
Agentic apps that apply the right method to each problem — from physics-first to data-first. Each result carries its assumptions, traceable from report back to the science.
Reserves and forecast uncertainty, quantified. Iman–Conover correlated sampling, tornado sensitivity, and full-distribution P90/P50/P10 output — every percentile traceable to its inputs, ready for reserves review.
Hand Plumb a raw report and get back interpreted gradients and contacts. The hours of unpacking and cleaning a survey — gone before you’ve opened a spreadsheet.
Survival analysis for equipment runlife, from Kaplan–Meier to machine learning. Cox hazards, random survival forests, and gradient-boosted models, so you can forecast remaining life and rank what drives failure across a fleet, not just plot a curve.
Surveillance by exception, discrete-event simulation for operations, and optimisation under uncertainty. The methods that turn analysis into decisions. The suite grows where the work is.
Tell us what you need →Advisory work that stops at a slide deck rarely changes an asset. Lumiquant sets the AI and data roadmap, delivers the technology that proves it, and works alongside your engineers so they can run it without us.
A grounded read on where machine learning and automation earn their keep in subsurface and production workflows. Sequenced by value and feasibility, not vendor fashion.
Purpose-built tools and models that compress cycle time and sharpen reserves and production decisions. Your team keeps what we build, and we agree the value it should deliver before we start.
Hands-on uplift in modern engineering methods and digital tools. Your reservoir and production teams own the workflow and can extend it themselves, long after the engagement ends.
When the analysis is a sentence away, the bottleneck stops being time — and starts being the questions worth asking.