Question 1

How do I meet OGMP 2.0 Level 4 or 5 requirements without disrupting daily field operations?

Accepted Answer

Compliance at these levels requires site-level quantification and source-level attribution — which can be operationally involved. The key is adopting technology and workflows that slot into existing routines with minimal overhead. Sampling strategy optimization (e.g., with LDAR-Sim) can help reduce costs and increase efficiency.

Question 2

What are best practices for operationalizing EUMR methane measurement rules across diverse assets?

Accepted Answer

Consistency and scalability are critical. Successful operators use centralized procedures with localized flexibility, backed by automated data handling and standardized reporting templates.

Question 3

How do I avoid overloading field teams with new methane compliance tasks?

Accepted Answer

Avoid overload by aligning compliance with existing workflows, focusing on high-priority sites, and phasing implementation. Thoughtful program design, grounded in operational realities, can significantly reduce burden on field teams.

Question 4

How should I prioritize and deploy handheld, drone, aerial, satellite, and continuous monitoring technologies across regulatory and voluntary requirements?

Accepted Answer

Effective strategies harmonize LDAR and quantification goals across compliance and voluntary frameworks. Prioritization should consider detection frequency, emission duration, and site risk. Most operators benefit from a tiered, hybrid approach combining multiple technologies. Simulation and optimization can be used to refine deployment strategy.

Question 5

What technologies are best for intermittent emissions detection in cold, remote, or harsh environments?

Accepted Answer

Technology performance in harsh environments is highly context-specific and constantly evolving. O&G companies should use a combination of experience and simulation tools like LDAR-Sim to evaluate options and guide operators toward fit-for-purpose solutions.

Question 6

What are common pitfalls in rolling out OGMP 2.0-compliant workflows at scale?

Accepted Answer

Lack of crew buy-in, poor data traceability, and spreadsheet sprawl. Successful programs pilot first, train second, and scale in phases.

Question 7

How can I prepare audit-ready records without drowning in data management?

Accepted Answer

Invest early in structured workflows that tag, timestamp, and validate methane data automatically. Build defensibility into the process, not just the report.

Question 8

What’s the most field-friendly way to reconcile top-down and bottom-up methane measurements?

Accepted Answer

Use integrated analytics platforms that automate uncertainty analysis, timestamp alignment, and equipment-level cross-checks — all in one place. Having data readily available is necessary to minimize manual engagement with operations.

Question 9

What causes discrepancies between field-level readings and corporate inventories?

Accepted Answer

Source attribution errors, measurement gaps, missing categories, and time mismatches are common. Site-level reconciliation needs standardized assumptions and active QA/QC.

Question 10

How do I know if methane compliance investments are paying off operationally?

Accepted Answer

Watch for reduced leak response time, lower leak counts, fewer super-emitters, improved audit outcomes, and smoother cross-team collaboration — those are your ROI signals.

See How Industry Leaders Achieved OGMP 2.0 Gold — Fast

LDAR-Sim

Simulated methane leak management

The Leak Detection and Repair Simulator (LDAR-Sim) is a virtual world that predicts emissions mitigation and cost-effectiveness of different LDAR programs.

Who uses LDAR-Sim?

Industry

To optimize detection and quantification technology deployment.

Innovators

To get regulatory approval and understand product-market fit.

Regulators

To evaluate policy and inform compliance assurance strategy

Academics

To build the next generation of methane monitoring solutions

LDAR-Sim projects

MiQ Methane Intelligence

Methane Technology Advisory and Analysis

Highwood used LDAR-Sim to evaluate methane detection technologies and inform the MiQ Standard.

Qube Technologies

Enhance Alt-FEMP Approval

Highwood helped Qube and Enhance achieve the world's first Alt-FEMP for continuous monitoring of fugitive methane.

GTI Energy

Applied Methane Technology Evaluation

We worked with GTI Energy to publish a report analyzing real-world methane detection and quantification data.

LDAR-Sim information and resources

Peer-reviewed article

LDAR-Sim Paper 1

The original LDAR-Sim journal article.

Peer-reviewed article

LDAR-Sim Paper 2

Explores the role of top-down measurement.

Open source code

LDAR-Sim on GitHub

Find the latest code base for LDAR-Sim.

Documentation

User Manual

Learn LDAR-Sim function and parameters.

Education

LDAR-Sim Story Map

A brief intro to LDAR-Sim.

Find out what LDAR-Sim can do for you

Book a demo call or start a pilot project with Highwood's LDAR-Sim today.

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