Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.sensorup.com/llms.txt

Use this file to discover all available pages before exploring further.

​
The Scenario

Your organization operates oil and gas facilities across multiple basins and receives methane detection alerts from various sources—satellites spot potential plumes during flyovers, continuous monitoring systems trigger alarms, drones capture detailed surveys, and field crews submit inspection reports. Each detection represents a potential environmental and compliance issue, but managing these scattered alerts across different systems creates operational chaos. Without an integrated approach, your team struggles to distinguish genuine leaks requiring immediate field response from false positives or planned operational activities. Critical emissions might go unaddressed while resources are wasted investigating non-issues. Meanwhile, regulatory bodies expect comprehensive documentation showing exactly what happened, when it occurred, which equipment was involved, what actions were taken, and how volumes were calculated for emissions reporting. Traditional approaches force you to juggle multiple disconnected systems—checking operational logs in one place, calculating emissions in spreadsheets, dispatching field crews through another system, and manually piecing together compliance reports from scattered data sources. This fragmented process leads to delayed responses, inaccurate volume calculations, incomplete audit trails, and difficulty meeting increasingly stringent environmental regulations.
Who This Applies To: Environmental managers, operations supervisors, compliance officers, and facility managers responsible for comprehensive methane management programs and regulatory compliance Common Triggers: Multiple detection sources generating alerts, upcoming regulatory reporting deadlines, audit preparation requirements, or the need to establish systematic LDAR (Leak Detection and Repair) program workflows

​
What You’ll Accomplish

Primary Goal

Build a complete, defensible methane management program that transforms detection data into systematic compliance workflows with accurate quantification, complete audit trails, and measurable operational improvements

Success Metrics

Reduce emission response time by 70%, achieve 100% audit-ready documentation, improve volume calculation accuracy by 60%, and establish measurable trends for continuous improvement

​
Workflow Overview

The comprehensive methane management program follows an integrated approach that connects all aspects of emission lifecycle management:

​
Step-by-Step Walkthrough

1

Establish Systematic Detection Management

Transform incoming detection alerts from multiple sources into prioritized, actionable emission events using integrated event management capabilities.Setup Actions:
  • Configure automatic ingestion from all detection sources (satellites, drones, continuous monitoring, OGI inspections)
  • Establish prioritization rules based on emission rates, asset criticality, and regulatory requirements
  • Set up automated event creation and correlation to prevent duplicate investigations
  • Configure status-based workflows to ensure no detection goes unmanaged
Immediate Benefits: Single dashboard view of all detections, automatic prioritization, elimination of duplicate work, clear audit trail from initial detection.
2

Implement Accurate Attribution and Quantification

Ensure each emission event is correctly attributed to specific assets and equipment with industry-standard volume calculations for regulatory compliance.Attribution Process:
  • Verify automatic asset attribution using proximity and operational context
  • Correct attributions to specific equipment level (valve, compressor, tank) for targeted repairs
  • Apply OGMP 2.0 source category classifications for regulatory compliance
  • Document attribution decisions with explanatory context for audit defense
Quantification Setup:
  • Configure Time and Rate Engine with detection method priorities (manual > VFB > CMS > OGI > drone > flyover > satellite)
  • Establish no-detection integration rules for accurate time boundary determination
  • Set up automatic timebounding using 90-day lookback periods and spatial proximity rules
  • Enable confidence bound calculations for uncertainty quantification
Outcome: Accurate volume calculations with traceable methodology, proper regulatory categorization, equipment-specific attribution for targeted response.
3

Deploy Systematic Root Cause Analysis

Implement comprehensive investigation workflows that combine spatial, temporal, and operational context to determine emission sources and causes.Analysis Framework:
  • Use integrated map, timeline, and table views to understand emission event context
  • Correlate detection timing with operational activities (maintenance, blowdowns, equipment startup)
  • Examine spatial relationships between emissions and equipment locations
  • Review operational “clues” including work orders, maintenance logs, and equipment status data
Investigation Workflow:
  • Start with highest-impact events (largest volumes or critical assets)
  • Look for patterns in timing, location, or equipment type
  • Cross-reference with planned operational activities to distinguish fugitive from operational emissions
  • Use wind direction and plume imagery to verify attribution accuracy
Decision Points: Confirmed equipment leak requiring repair, planned operational activity requiring documentation, or false positive requiring record correction.
4

Execute Targeted Response Actions

Based on investigation results, implement appropriate response workflows that ensure proper resolution and maintain comprehensive documentation.Equipment Leak Response:
  • Group related observations to prevent duplicate field dispatches
  • Create structured follow-up requests (OGI inspection, field verification, repair work order)
  • Track response through status-based workflows (Open → In Progress → Closed)
  • Verify completion with follow-up surveys or equipment inspection
Operational Activity Documentation:
  • Add manual observations with precise operational timing and emission rates
  • Upload supporting documentation (work orders, maintenance logs, operational procedures)
  • Integrate operational context with detection data for complete event narrative
  • Classify as planned vs. unplanned emission for proper regulatory categorization
False Positive Management:
  • Mark events as false alarms with clear reasoning and investigation notes
  • Maintain complete audit trail of investigation process and decision rationale
  • Use patterns to improve detection system calibration and reduce future false positives
5

Generate Comprehensive Analytics and Insights

Transform properly managed emission events into actionable insights for operational improvement and regulatory reporting.Summary Insights Analysis:
  • Identify top-emitting assets for targeted LDAR activities
  • Analyze detection method effectiveness (satellite vs. drone vs. continuous monitoring)
  • Categorize emissions by equipment type to focus maintenance programs
  • Track event status distributions to measure response effectiveness
Trend Analysis Implementation:
  • Monitor monthly emission trends to identify seasonal patterns or equipment degradation
  • Track average response times to measure operational efficiency improvements
  • Compare planned vs. unplanned emission ratios to assess operational control
  • Measure before/after impacts of maintenance programs or process improvements
Performance Optimization:
  • Use asset-level analysis to prioritize equipment replacement or upgrade decisions
  • Optimize detection technology mix based on effectiveness analysis
  • Adjust LDAR inspection frequencies based on historical failure patterns
  • Identify operational improvements that reduce unplanned emissions
6

Establish Continuous Compliance and Improvement

Create systematic reporting workflows and performance monitoring that ensure ongoing regulatory compliance and operational excellence.Regulatory Reporting Automation:
  • Generate compliance reports with accurate volume calculations and complete audit trails
  • Maintain OGMP 2.0 categorization and documentation standards
  • Track regulatory deadlines and ensure timely submission with complete data packages
  • Provide audit-ready documentation with traceable calculation methodologies
Continuous Improvement Process:
  • Monthly performance review using trend analysis and summary insights
  • Quarterly asset performance assessment to identify degrading equipment
  • Annual LDAR program optimization based on detection effectiveness analysis
  • Ongoing training updates based on investigation findings and best practice development
Success Measurement: Track key performance indicators including average response time, percentage of events reaching closed status, volume calculation accuracy compared to regulatory requirements, and audit readiness scores.

​
Key Considerations

Data Integration Prerequisites:
  • API connections or data feeds from all detection sources (satellite providers, drone operators, continuous monitoring systems)
  • Asset database integration with hierarchical facility and equipment information
  • Operational data feeds (work order systems, maintenance management, operational logs)
  • GIS/mapping data for spatial analysis and attribution validation
System Performance Factors:
  • Processing capacity for real-time detection alert ingestion and correlation
  • Storage requirements for maintaining complete audit trails and historical analysis
  • User access management for multi-role teams (operations, compliance, field crews)
  • Integration capabilities with existing enterprise systems
Regulatory Alignment Requirements:
  • OGMP 2.0 source category classification standards and documentation requirements
  • EPA and state regulatory reporting formats and timing requirements
  • Audit trail documentation standards for regulatory inspection readiness
  • Volume calculation methodology documentation and uncertainty quantification
Compliance Process Integration:
  • Quarterly reporting workflow automation with data validation checkpoints
  • Annual compliance review processes with historical trend analysis
  • Audit preparation procedures with document retrieval and explanation capabilities
  • Regulatory update management to ensure ongoing compliance with changing requirements
Field Operations Coordination:
  • Integration with existing dispatch and work order management systems
  • Field crew training on investigation protocols and response procedures
  • Mobile access capabilities for field verification and documentation
  • Communication protocols between operations, environmental, and compliance teams
Organizational Change Management:
  • Role definition for emission event management responsibilities
  • Training programs for investigation techniques and system utilization
  • Performance metrics alignment with operational and environmental objectives
  • Continuous improvement processes based on lessons learned and best practices

​
Common Variations

Multi-Basin Operations

Adaptation: For organizations operating across multiple geographic regions, establish basin-specific analysis capabilities with centralized oversight, customized detection priorities based on regional equipment types, and compliance workflows aligned with varying regulatory requirements across jurisdictions.

High-Volume Continuous Operations

Adaptation: For facilities with frequent planned emissions (refineries, chemical plants), implement enhanced operational activity integration with automatic correlation between work orders and detections, streamlined planned vs. unplanned classification workflows, and optimized volume calculations for complex operational scenarios.

Remote Asset Management

Adaptation: For remote operations with limited field access, emphasize satellite and aerial detection methods, develop delayed verification protocols for inaccessible locations, and establish risk-based prioritization for remote response decisions with enhanced documentation requirements.

Regulatory-Heavy Environment

Adaptation: For operations under strict regulatory oversight, implement enhanced documentation workflows with automatic audit trail generation, advanced uncertainty quantification for all volume calculations, and comprehensive compliance reporting automation with regulatory deadline tracking.

​
Troubleshooting & Best Practices

Do This

Start with High-Impact EventsFocus initial implementation on largest emission events and most critical assets to demonstrate immediate value and build operational confidence in the systematic approach.

Do This

Establish Clear Attribution StandardsDefine and document asset attribution protocols before full deployment to ensure consistent equipment-level attribution and support targeted maintenance responses.

Not That

Don’t Skip Detection Source IntegrationIncomplete integration of detection sources creates data gaps that compromise the systematic approach and reduce confidence in volume calculations and compliance reporting.

Not That

Don’t Ignore Operational Context IntegrationWithout proper integration of operational data (work orders, maintenance logs), the system cannot distinguish planned from unplanned emissions, leading to inaccurate compliance categorization.
Common Resolution Strategies:
  • Volume Calculation Discrepancies: Review Time and Rate Engine priority settings and no-detection integration rules; validate detection source calibration and uncertainty bounds
  • Attribution Accuracy Issues: Check asset database completeness and spatial coordinate accuracy; review attribution distance thresholds and equipment location data
  • Investigation Efficiency Problems: Examine operational data integration completeness; ensure proper training on investigation workflows and pattern recognition
  • Compliance Reporting Gaps: Verify OGMP 2.0 categorization completeness; check regulatory deadline tracking and automated reporting workflows

​
Real-World Example

MidContinental Energy operates 450 natural gas facilities across three states with operations ranging from wellhead gathering to processing plants. After implementing a comprehensive methane management program, they transformed their approach from reactive incident response to proactive emission management. The first month revealed 23 high-priority emission events, with systematic investigation showing that 60% were attributed to planned maintenance activities that were poorly documented, 25% represented genuine equipment leaks requiring repair, and 15% were false positives from satellite detection calibration issues. Using integrated attribution and quantification capabilities, they corrected volume calculations that had been overestimating emissions by 40% in compliance reports. Within six months, their average response time dropped from 5 days to 18 hours, they achieved 100% audit readiness with complete documentation trails, and trend analysis revealed seasonal patterns that enabled predictive maintenance scheduling. The systematic approach enabled them to demonstrate a 35% reduction in unplanned emissions through targeted equipment upgrades and operational procedure improvements.
Result: Achieved 70% reduction in response time, 100% audit readiness, 60% improvement in volume calculation accuracy, and $2.3M in avoided penalties through proactive compliance management and operational optimization.“This comprehensive approach transformed our environmental management from compliance burden to competitive advantage. We now identify and address issues before they become regulatory problems.” - Environmental Director, MidContinental Energy

Event Management Workflows

Master the complete workflow for managing emission events from detection through resolution with integrated follow-up actions and status tracking.

Root Cause Analysis Investigation

Learn systematic investigation techniques using spatial, temporal, and operational context to determine emission sources and implement targeted responses.

Advanced Analytics and Insights

Transform properly managed emission data into actionable insights for asset prioritization, technology optimization, and operational improvement.

Regulatory Compliance Automation

Establish automated compliance reporting workflows with accurate volume calculations and complete audit trail documentation for regulatory submission.