AuraLeak — Methane Intelligence & LDAR Execution

Executive Overview

AuraLeak is an enterprise-grade, vendor-neutral methane intelligence and automated Leak Detection and Repair (LDAR) execution platform. Industrial methane management across upstream, midstream, and downstream infrastructure is hindered by siloed detection hardware that generates flood volumes of uncontextualized alarms. AuraLeak bridges the operational gap between physical sensor measurements, plant SCADA operational reality, compliance clocks, and enterprise maintenance dispatch.

The Operational Challenge

Energy infrastructure faces unprecedented legal and financial liabilities:

• US EPA NSPS OOOOb / EG OOOOc & Super-Emitter Program: Third-party remote sensing alerts triggered at 100 kg/h mandate strict 5-day on-site investigations and 15-day remediation filings under threat of public naming.
• Inflation Reduction Act (IRA) Waste Emissions Charge (WEC): Escalating penalties ($900/t in 2024 to $1,500/t in 2026+) on Subpart W emissions, where an unmitigated 100 kg/h release costs over $108,000/month.
• EU Regulation 2024/1787: Mandates bans on routine venting, 48-hour competent authority notifications, 30-day repair targets, and stringent 2027/2030 import MRV equivalence and 0.20% methane intensity caps.
• Operational Alarm Fatigue: Traditional remote sensing misclassifies authorized operational events (compressor blowdowns, separator dumps, pigging) as fugitive releases, squandering thousands of contractor hours.

The AuraLeak Solution

AuraLeak transforms disconnected detection data into verified, audit-proof maintenance execution:

1. Multimodal Telemetry Intake: Ingests continuous fenceline point sensors (NDIR, TDLAS), open-path spectrometers, continuous and handheld OGI, acoustic cameras, drone surveys, airborne LiDAR (e.g., Bridger Photonics), and satellite feeds (GHGSat, Carbon Mapper).
2. SCADA Operational Disambiguation: Ingests live telemetry from plant historians and SCADA systems (OPC UA, MQTT Sparkplug B) to correlate detections with valve positions (BDVs), flare gas recovery, and separator dump cycles—instantly triaging authorized process events from genuine leaks.
3. Physics-Informed Quantification & Uncertainty: Evaluates plume mass flow rates (kg/h) with GUM-compliant (Guide to the Expression of Uncertainty in Measurement) 95% confidence intervals. Automatically suspends quantification during invalid low-wind (<1.5 m/s) or sensor-drift conditions to prevent bogus filings.
4. P&ID Asset Attribution: Uses inverse dispersion modeling to localize plumes directly to Piping & Instrumentation Diagram (P&ID) equipment tags, asset hierarchies, and functional locations.
5. Idempotent CMMS Work-Order Dispatch: Automatically generates prioritized work orders in SAP PM, IBM Maximo, or generic enterprise maintenance systems, complete with component tags, safety isolation notes, and evidence packages.
6. Closed-Loop Repair Verification: Enforces mandatory post-repair verification (EPA Method 21 sniffer, OGI optical flow, or fenceline baseline recovery). Incomplete repairs automatically reopen the work order.
7. Cryptographic Audit Provenance: Anchors every observation, triage decision, work-order dispatch, and repair verification in an immutable SHA-256 hash ledger, enabling one-click defensible compliance packages.

Target Personas & Use Cases

• Operations Control & Triage: Instantly verify if a downwind plume correlates with authorized blowdown schedules.
• LDAR Coordinators & Field Techs: Prioritize high-risk, super-emitter leaks with optimized field inspection routes and P&ID component blueprints.
• Maintenance Planners: Dispatch complete work packages to SAP PM / IBM Maximo without manual transcription errors.
• Environmental Compliance Officers: Track EPA 5-day/15-day and EU 48-hour regulatory deadline clocks with tamper-proof sign-off gates.