Sensing layer 1
“Did something change?”
Compact, low-power nodes monitor for persistent local methane anomalies around important equipment.
§ 00Technical brief · Field demonstration partner invitation
Detect early.
Verify on demand.
Dual-layer methane monitoring for upstream and midstream oil and gas operators. XMR separates continuous methane anomaly detection from on-demand measurement-grade verification: low-cost trigger nodes monitor close to selected equipment; a shared UAV investigates credible events and delivers an operator-ready result.
Layer 1 · Continuous tripwiresLayer 2 · Precision drone
- Detect
- Check flight safety
- Fly
- Verify
- Report
Fig. 1Conceptual XMR architecture: always-on tripwire nodes + facility coordination + targeted UAV measurement. Animated illustration of the concept. Site layout, plume and flight path are not field data.
- When?
- Anomaly identified
- Where?
- Likely source localized
- How much?
- Emission rate estimated
- Prepared by
- XM Robotics LLC
- Based in
- Houston, Texas
- Readiness
- TRL 6 (conservative, integrated)
- Seeking
- Upstream & midstream pilot partners
§ 01The operator gap
An alarm is not a work order.
Operators are not buying methane data for its own sake. They need to know whether a meaningful emission event occurred, where to send an inspection team, and how much gas may be escaping. A concentration signal alone often cannot provide all three answers.
Questions an operator actually needs answered
- 01Has an abnormal emission occurred?
- 02Which piece of equipment is responsible?
- 03How significant is the release?
- 04Does it warrant immediate intervention?
- 05How confidently can the measurement be documented?
Methane concentration at a fixed location depends on the emission rate, distance from the source, wind, atmospheric mixing and equipment geometry. A large release may produce a weak signal at a distant monitor, while a smaller release may generate a strong local concentration under favorable wind.
- Fixed monitors
- Provide persistence — excellent continuous temporal coverage, limited to methane that reaches the sensor.
- Survey services
- Provide richer source information — but only when a survey is conducted.
- XMR
- Connects those two jobs in one event-driven workflow.
Illustrative
XMR proposed approach
Tripwire near equipment
A local anomaly starts a targeted aerial investigation with precision methane instruments.
One coordinated operator response
- When
- Node records event
- Where
- Drone narrows source
- How much
- Rate estimate + evidence
§ 02Design philosophy
Put simple sensors close to the problem.
A home alarm system does not place a police officer at every door. Inexpensive sensors detect an event; the control panel evaluates the signal; a higher-value response is dispatched when justified. XMR uses the same separation of roles for industrial monitoring.
The sensor that detects a potential problem does not have to be the same instrument that verifies and measures it.
Home security
XMR industrial model
Hover or focus an item to see its counterpart.
Sensing layer 2
“Where, and how much?”
A shared drone carries complementary laser-based sensors and makes targeted 3D measurements.
- 01Shorter source-to-sensor distance reduces dependence on long-distance plume transport and raises the chance that a passing plume intersects a sensor.
- 02The benefit is not that a low-cost sensor beats a premium instrument — it is better spatial coverage for a given fixed-hardware budget.
- 03A narrow job (detect a sustained abnormal signal against local background) supports a compact, low-power, battery-friendly node with fewer expensive components.
- 04Particularly relevant for facilities with many possible emission sources but relatively infrequent events that require detailed measurement.
§ 03System architecture
Two sensing layers, one coordinated response.
XMR combines a persistent proximity-detection network and a mobile precision-measurement platform. A facility base station connects them and manages the response; software turns measurements into an equipment-linked decision.
Site weather
Operator
Event message
Investigation mission
CH₄ data + RTK track
Intelligence & dispatch
Facility base station
Role: Coordination centre — the industrial equivalent of a home-security control panel.
Inputs
- Node events and their physical locations
- Neighbouring sensor information where available
- Site meteorology: wind speed and direction
- Aircraft readiness and operator-defined permissions
Outputs
- UAV mission
- Event record / escalation
What it does
- Associates events with equipment and evaluates signal persistence
- Applies configurable operating rules
- Generates an investigation mission when conditions are suitable
- Records, reschedules or escalates when a flight cannot proceed
Boundary
Designed for future integration with additional sensors and operator reporting and maintenance platforms.
§ 04Payload & Smart Gridding
Measure where the information matters.
Instead of an indiscriminate survey, the UAV starts with knowledge of where the trigger originated, the equipment layout and the wind. Observed methane signals then decide where it measures next.
Two complementary laser-based instruments
| Instrument | Unit | Measures | Role in the search |
|---|---|---|---|
| Path-integrated sensing | ppm·m | Methane along an optical path | Rapid spatial scanning; finds methane-enhanced regions |
| Local concentration sensing | ppm | Methane at specific 3D positions | Characterises plume structure; constrains localization and rate model |
Both use established laser absorption spectroscopy. XMR does not claim to have invented the spectroscopy.
Simulation
Wind toward
- Samples
- 0
- Peak signal (relative)
- —
- Source uncertainty
- —
- Synthetic plume
- Sample (darker = higher)
- Estimated source ± uncertainty
§ 05Field test demo
From a methane release to a result on the dashboard.
A recorded test flight of the integrated XMR system: methane is released, a tripwire node triggers, the UAV flies a scanning search, and the result appears in the XMR dashboard — the event-triggered workflow described in this brief, running end to end.
What the video shows
- 01
Methane release
Methane is released during the test.
- 02
Node trigger
A tripwire node detects the anomaly and sends an event.
- 03
UAV scan
The drone flies a search pattern over the area, narrowing in on the plume.
- 04
Dashboard result
Measurements and the outcome are shown in the XMR dashboard.
§ 06Illustrative demonstration
One leak to one decision.
Imagine an overnight methane anomaly near a compressor seal. A local node detects a persistent change; the base panel evaluates it against operator rules, meteorology and flight readiness; when conditions permit, a UAV investigates and refines its search with methane measurements.
Illustrative
Event outcomes
Confirmed
Source localized and rate estimated with stated uncertainty.
Inconclusive
Investigation flown, evidence insufficient for attribution.
Not completed
Operating conditions prevented verification; the event stays open.
§ 07Operator output
What the operator actually receives.
The dashboard converts measurements into an operational decision: likely affected asset, estimated kg CH₄/h, evidence used, uncertainty, and a recommended follow-up classification.
XMR Methane event report
IllustrativeCompressor Station A
Example event XMR-001 / Asset C-2
Site + search path
- Likely source
- Compressor C-2 seal assembly
- Example rate
- 1.4kg CH₄/h
- Status
- Review / verify
Evidence package
- Node trigger
- Site wind
- RTK flight track
- Path-integrated and local methane measurements
- Uncertainty statement
Raw alert
“Methane above background”
Decision-ready report
Source + estimated rate + evidence
Value to the operator
The intended experience prioritises verified, actionable emission notifications rather than overwhelming personnel with every transient sensor fluctuation.
- Fewer ambiguous alarms
- More targeted investigations
- Better evidence
- Fewer unnecessary field mobilizations
The pilot will determine how accurately this report can be produced across real facility geometry, weather and emission conditions.
§ 08Economics
From equipment ownership to measurement as a service.
The expensive part of monitoring need not be duplicated at every potential emission source. XMR proposes affordable permanent tripwires, a facility base station, and access to a shared UAV measurement service.
Hypothetical
Conventional purchase
- $$$
- $$$
- $$$
- $$$
- $$$
- $$$
Precision capability is purchased and maintained at individual monitoring locations (simplified concept).
XMR service model
Dense proximity network
One shared precision measurement resource serves many low-cost endpoints.
Hypothetical node-only purchase example
6 premium nodes vs. 18 trigger nodes
- 6 premium nodes
- 36 units
- 18 trigger nodes
- 18 units
Proposed target
≈ 1/6
Target trigger-node hardware cost vs. selected high-end fixed monitoring benchmarks
A commercialization target, subject to final configuration, production volume and comparable quotations — not yet a demonstrated market-wide pricing advantage.
What the operator pays for
- 01Detection networkAn affordable permanent node network and facility base station.
- 02Monitoring subscriptionRecurring service for continuous awareness and event handling.
- 03Aerial verificationDefined UAV verification services; one UAV system may serve one major facility or a cluster.
This shifts a significant portion of measurement-system capital investment away from the operator and into an operating-service model, while preserving access to sophisticated measurement technology.
The real metric: total monitoring-and-verification cost per site
- Installation
- Base hardware
- Drone / dock utilization
- Mission labor
- Aviation permissions
- Maintenance
- Software
- Operator follow-up
These will be measured during the field demonstration, including the cost of obtaining each actionable verification report.
Commercial hypothesis: inexpensive continuous detection plus shared, event-driven high-grade measurement gives a lower total cost than procuring the two capabilities independently.
§ 09What it means for our clients
Lower Cost. Faster Answers. Better Measurements.
In engineering, we are often told that you can only choose two: cost, time, or quality.
Illustrative
Conventional: choose two
Affordable sensors provide continuous awareness near the equipment that matters. When something unusual happens, precision aerial instrumentation investigates and delivers the measurements operators actually need.
We are not reinventing methane measurement technology. We are reinventing how it is deployed.
01 — Lower cost
Monitor More, Invest Less
Why invest in expensive measurement equipment at every monitoring point when a shared precision measurement system can serve multiple locations?
Our architecture is designed to deliver:
- Lower upfront CAPEXAffordable trigger nodes make broader equipment-level coverage financially practical.
- More coverage for the same hardware budgetDeploy monitoring closer to tank batteries, valves, compressors, and other potential emission sources.
- Less duplicated investmentAccess sophisticated aerial measurement through a shared service rather than purchasing equivalent measurement capabilities at every location.
- Lower total monitoring costReduce dependence on separately arranged verification surveys and unnecessary field investigations.
§ 10Our vision
From Methane Monitoring to Emissions Intelligence.
Our entry point is methane detection. Our long-term vision is to digitize the emissions footprint of industrial operations.
Today, most methane data exists as isolated sensor readings, survey reports, and occasional emission estimates. We envision something fundamentally different: a living digital emissions map that tells operators not only where methane is escaping, but how their entire operation is performing over time.
XMR combines distributed sensing, autonomous aerial measurements, and AI to transform physical emissions into structured, actionable intelligence.
Long-term visionIllustrative
Select an asset
Asset record · Illustrative record
Recurring- Where
- Compressor C-2
- How much
- When
- What next
- Recurring
01 | Oil & Gas
Digitizing Every Asset
Imagine opening a digital map of an oilfield and understanding the emissions profile of individual tank batteries, valves, compressors, and processing equipment.
Each verified emission becomes part of a growing digital record linked to the physical asset:
- Where
- Equipment-level emission source identification.
- How much
- Estimated methane emission rate with measurement uncertainty.
- When
- Event history and changes in emissions over time.
- What next
- AI-assisted identification of recurring problems, high-priority assets, and maintenance opportunities.
From an individual valve to an entire field, our vision is to give operators a clearer picture of their emissions performance without relying solely on disconnected periodic surveys.
We Are Building More Than a Monitoring System.
- Sensors capture signals.
- Drones collect evidence.
- AI turns measurements into intelligence.
Our ambition is to become the emissions data infrastructure that helps industrial operators understand, manage, and ultimately reduce their environmental footprint.
§ 11Invitation to industry
We Have Demonstrated the Concept. Now We Need Your Help to Prove Its Value.
Our initial field demonstrations have shown that low-cost ground sensors can trigger an aerial investigation and support a coordinated measurement workflow.
But demonstrating a technology is not the same as proving its value across real industrial operations.
That is where you come in.
We are inviting upstream and midstream operators to help us validate the system under actual operating conditions.
Together, we want to answer three questions:
- 01
Cost
Can we reduce the total cost of continuous monitoring and emission verification?
- 02
Time
Can we shorten the time from detection to an actionable result?
- 03
Quality
Can we deliver reliable source localization and defensible emission estimates while expanding monitoring coverage?
We believe our architecture can change the traditional trade-off. The next step is proving it with real operating data.
- Duration
- 8–12 weeks
- After site selection and operational authorization
- Trigger nodes
- 6–10
- Site-specific network
- Infrastructure
- Base + weather
- Facility communication and weather station
- Flights
- VLOS
- Supervised visual-line-of-sight where necessary
01 · Scope
XMR and the operator identify priority equipment, review facility geometry and meteorology, establish communication coverage, assess hazardous-area classifications, and develop a safe deployment and flight plan.
Upstream
Tank batteries / process equipment
Midstream
Compression / gathering assets
XMR brings
We bring our monitoring hardware, aerial measurement technology, engineering team, and a structured field evaluation.
- Prototype monitoring nodes and system integration
- Facility base station
- UAV measurement payload and platform
- Data-processing software and event records
- Test protocol, technical support and a final field-performance report
Operator brings
You bring a representative facility, operational experience, safety guidance, and the questions that matter to your business.
- A representative facility and meaningful monitoring priorities
- Site safety, HSE and aviation review; access
- Optional approved controlled releases and a reference measurement
- Feedback on maintenance workflows, reporting and what counts as actionable
Participating operators can influence deployment design, define meaningful technical and economic performance targets, and evaluate the system before broader commercialization.
Partnerships can be structured around mutually agreed confidentiality, data access, intellectual property and publication terms.
§ 12Safety, regulatory readiness & responsible deployment
Clear boundaries, stated up front.
Oil and gas facilities introduce requirements that cannot be addressed through sensing performance alone. These are the limits XMR applies to itself today.
- Hazardous locations
- Production node is being developed toward intrinsic-safety and Class I, Division 1 / Zone 1 requirements. Current prototypes must not be described as certified; pilot devices are installed only where the operator's site classification and safety approval allow.
- Process safety
- XMR is an emissions monitoring and verification solution. It does not replace certified combustible-gas alarms, emergency shutdown systems or other process-safety instrumentation.
- Aviation
- Drone operations follow applicable aviation rules, operator authorization, facility restrictions, safe stand-off distances and defined weather conditions. Automation does not remove required supervision or permissions.
- Regulatory status
- XMR is not claiming approval as an EPA alternative test method. Regulatory acceptance or method substitution requires separate evaluation under the applicable program. Initial deployments complement existing LDAR procedures.
- Data & cybersecurity
- Data ownership, event records, cybersecurity controls and integration requirements are defined with each participating operator.
- Engineering roadmap
- Hazardous-location design and certification, environmental reliability, radio communications in metal-rich facilities, aviation authorization, mission safety, data security and maintenance procedures.
§ 13Glossary
Terms used in this brief.
- Tripwire node
- XMR's compact, low-power methane trigger sensor placed near equipment. It flags sustained local anomalies; it does not quantify emissions.
- Facility base station
- On-site coordination unit that receives node events, integrates wind data, applies operator rules and dispatches or escalates.
- UAV
- Unmanned aerial vehicle (drone). In XMR it carries the measurement-grade laser payload.
- ppm
- Parts per million — local methane concentration at a point in space.
- ppm·m
- Parts per million × metre — methane integrated along an optical path; used for rapid spatial scanning.
- kg CH₄/h
- Kilograms of methane per hour — the emission-rate estimate an operator can act on.
- Laser absorption spectroscopy
- Established measurement principle in which methane absorbs laser light at specific wavelengths; used by both XMR payload instruments.
- Smart Gridding
- XMR's measurement-driven flight strategy: coarse scan, then narrower searches guided by observed signals, wind and equipment geometry.
- Dispersion model
- Model of how gas spreads with wind and mixing; constrained by measurements to estimate source and rate.
- TRL
- Technology Readiness Level, 1–9. TRL 6: system demonstrated in a relevant environment.
- POD
- Probability of detection — share of real release events that the system detects.
- False positive
- An event reported when no qualifying release occurred; definition and denominators are set in the test protocol.
- Controlled release
- Metered methane release of known rate used to test detection, localization and quantification.
- METEC
- Methane Emissions Technology Evaluation Center at Colorado State University — a controlled test framework (ADED 2.0).
- Class I, Division 1 / Zone 1
- Hazardous-location classification where flammable gas may be present in normal operation; equipment requires suitable certification.
- Intrinsic safety
- Design approach that limits electrical and thermal energy so equipment cannot ignite a hazardous atmosphere.
- VLOS / BVLOS
- Visual line of sight / beyond visual line of sight — drone operating categories with different authorization requirements.
- RTK
- Real-time kinematic positioning — high-accuracy satellite positioning for the flight track.
- LDAR
- Leak detection and repair — operators' existing programs that XMR's initial deployments complement.
- Upstream / midstream
- Production sites (wells, tank batteries) / gathering, compression, processing and transportation assets.
§ 14Call for demonstration partners
Help Us Prove It in the Field.
Become an XMR field demonstration partner and help shape the next generation of methane monitoring.
Better answers, only when they are needed.
XMR's mission is not to sell operators more methane sensors. It is to give them better answers, only when those answers are needed, through a system that is practical to deploy and economical to scale.
- Trigger network
- provides awareness.
- Base station
- provides coordination.
- UAV
- provides detailed measurements.
- Software
- connects them to the equipment and decisions that matter.
XMR's engineering team has direct experience in petroleum operations, industrial instrumentation and deploying measurement systems in field environments.
The long-term objective is an adaptable platform that expands with the operator's facilities, monitoring priorities and service requirements — without forcing every site to buy and maintain a full suite of high-cost measurement instruments.
Selected technical references
- [1]Chen, Q., Kimura, Y., and Allen, D. T. (2024). Defining Detection Limits for Continuous Monitoring Systems for Methane Emissions at Oil and Gas Facilities. Atmosphere, 15(3), 383. doi.org/10.3390/atmos15030383
- [2]Jia, M., Sorensen, T. R., and Hammerling, D. M. (2025). Optimizing Point-in-Space Continuous Monitoring System Sensor Placement on Oil and Gas Sites. ACS Sustainable Resource Management, 2(1), 72–81. doi.org/10.1021/acssusresmgt.4c00333
- [3]A Framework for Optimizing Continuous Methane Monitoring System Configuration for Minimal Blind Time: Application and Insights from over 100 Operational Oil and Gas Facilities. ACS ES&T Air (2025). doi.org/10.1021/acsestair.4c00280
- [4]Colorado State University, Methane Emissions Technology Evaluation Center (METEC). Controlled Testing and Evaluation Protocols for Methane Detection and Quantification Technologies. metec.colostate.edu/aded-2-0/
- [5]U.S. Environmental Protection Agency. Oil and Gas Alternative Test Methods: Advanced Methane Detection Technologies. www.epa.gov/emc/oil-and-gas-alternative-test-methods
- [6]Sandia National Laboratories (2024). Methane Integrated Monitoring and Measurement System Design. doi.org/10.2172/2480126