Contamination Intelligence for Oil & Gas - Oil, Gas & Refineries

The Challenge

Oil and gas operators carry some of the largest environmental liabilities in the industry. Upstream spills, above-ground and underground storage tank releases, and legacy brine contamination create long-tail exposure that inflates AROs and ties up capital for years. The standard approach — field sampling every 6 to 12 months, lab turnaround of weeks, and reports that describe conditions from months ago — leaves teams reacting rather than acting. By the time a plume shift shows up in quarterly data, remediation windows have already closed. Costs accumulate. Closure timelines extend. And regulators continue to require evidence that simply takes too long to produce.

How LiORA Helps

LiORA replaces the quarterly sampling cycle with continuous underground intelligence. Sensors deployed in existing 2" monitoring wells measure petroleum hydrocarbons (BTEX, F1), chloride, methane, CO₂, and O₂ daily — delivering unparralleled data points per year where traditional sampling delivers four.

The LiORA platform runs AI-powered plume stability modeling on that data in real time, so operators know immediately whether contamination is stable, shrinking, or expanding. For portfolio management, LiORA Trends brings the same intelligence to historical sampling records — no hardware required. Well Influence Analysis identifies redundant monitoring wells, reduces unnecessary sampling costs, and surfaces sites that are closure-ready now.

Use Cases

• Above-ground storage tank (AST) leak detection and plume tracking
• Underground storage tank (UST) release monitoring and natural attenuation validation
• Natural Source Zone Depletion (NSZD) measurement for risk-based closure
• Brine and chloride plume monitoring from produced water incidents
• ARO reduction through accelerated site closure and portfolio prioritization
• Regulatory submission support with continuous, defensible data records