Process Modelling (BPM)
for Extraction of natural gas (ISIC 0620)
Process Modelling is exceptionally well-suited for the natural gas extraction industry due to the inherent complexity, capital intensity, and safety-critical nature of its operations. The industry is characterized by highly technical and interdependent processes (PM03), significant 'High Operational...
Process Modelling (BPM) applied to this industry
Process Modelling (BPM) in natural gas extraction is critical for de-risking operations and enhancing profitability by providing granular visibility into complex, capital-intensive processes. Its application directly mitigates high scores in logistical entanglement, information asymmetry, and systemic siloing, transforming operational data into actionable intelligence for safer, more efficient, and compliant gas production.
Unravel Multi-Tier Supply Chains to Boost Component Traceability
Given the 'Systemic Entanglement & Tier-Visibility Risk' (LI06) and 'Traceability Fragmentation & Provenance Risk' (DT05), BPM can map the entire multi-tiered supply chain for specialized equipment and critical spare parts. This reveals hidden dependencies and bottlenecks beyond direct suppliers, enhancing transparency and reducing procurement-related operational delays in remote extraction sites.
Mandate comprehensive BPM documentation for all critical asset procurement, requiring suppliers to provide process maps for their own supply chains down to Tier-2, integrating this data into a centralized risk management platform.
Synthesize Real-time Operational Data, Eliminating Silos
BPM serves as the architectural blueprint for integrating disparate real-time data streams from well-site sensors, SCADA, and processing units into a unified operational view. This directly addresses 'Information Asymmetry & Verification Friction' (DT01) and 'Systemic Siloing & Integration Fragility' (DT08) by providing a single, verifiable source of truth for process performance and asset status across the extraction lifecycle.
Establish a cross-functional data governance committee to enforce BPM-driven data integration standards, ensuring all digital twin deployments and sensor installations contribute to a cohesive, enterprise-wide operational model.
Model Infrastructure Resilience for Advanced Security Postures
With high 'Infrastructure Modal Rigidity' (LI03) and 'Structural Security Vulnerability & Asset Appeal' (LI07), BPM must extend to model critical infrastructure interdependencies and potential cyber-physical attack vectors. This proactively identifies process-level vulnerabilities in control systems and remote asset operations, enhancing overall resilience.
Develop detailed BPM-based scenarios for all major infrastructure compromise events, integrating both physical and cyber security protocols, and use these models for mandatory annual stress testing, incident response drills, and continuous security posture improvement.
Standardize Regulatory Compliance Workflows, Reducing Arbitrariness
The significant 'Regulatory Arbitrariness & Black-Box Governance' (DT04) in natural gas extraction necessitates BPM-driven standardization of compliance processes. By explicitly modeling regulatory touchpoints, data collection, and reporting procedures, companies can demonstrate consistent adherence, minimizing risks associated with varied interpretations across diverse operating jurisdictions.
Implement a centralized BPM repository for all regulatory compliance processes, making it mandatory for all site managers to adapt and execute these standardized workflows, with automated audit trails confirming adherence and minimizing exposure to arbitrary enforcement actions.
Optimize Predictive Maintenance to Combat Lead-Time Inflexibility
BPM provides granular insights into the entire predictive maintenance process, from anomaly detection to specialized part requisition, logistics, and repair execution. This is critical for overcoming 'Structural Lead-Time Elasticity' (LI05) for high-value components, ensuring timely intervention and minimizing costly unplanned downtime across remote, capital-intensive assets.
Re-engineer existing maintenance workflows using BPM to identify critical path items, pre-position high-lead-time spares based on predictive failure models, and implement automated procurement triggers to streamline the supply chain for maintenance actions.
Strategic Overview
Process Modelling (BPM) offers a structured approach to visualize, analyze, and optimize the highly complex and often hazardous operational workflows within the natural gas extraction industry. Given the capital intensity, stringent safety regulations, and vast geographical spread of assets, identifying and eliminating inefficiencies, bottlenecks, and redundancies is paramount. BPM helps to streamline critical processes such as drilling, well completion, gas processing, and maintenance, thereby reducing operational costs, improving safety compliance, and enhancing overall operational efficiency.
For natural gas companies, BPM is not just about cost reduction but also about managing significant safety and environmental risks (LI02), ensuring structural integrity (SC07), and improving decision-making in an environment challenged by 'Operational Blindness & Information Decay' (DT06). By providing a clear visual representation of processes, it fosters better understanding, facilitates compliance, and serves as a foundation for digital transformation initiatives, ultimately contributing to a more resilient and profitable operation.
4 strategic insights for this industry
Optimizing Drilling & Completion Cycles
Process modeling can map out every step of the drilling and well completion process, from rig mobilization to production hook-up. This allows for identification of non-productive time, resource bottlenecks, and inefficient sequences, leading to significant reductions in cycle times and drilling costs (LI05, LI02).
Enhancing Safety & Regulatory Compliance
By graphically representing safety-critical procedures (e.g., lockout/tagout, emergency shutdown protocols, hazardous waste handling), BPM ensures consistency, reduces human error, and facilitates adherence to stringent environmental and safety regulations, addressing 'High Environmental Monitoring & Reporting Burden' (SC02) and 'Hazardous Handling Rigidity' (SC06).
Streamlining Maintenance & Asset Integrity Management
BPM enables the optimization of preventive and predictive maintenance schedules for pipelines, compression stations, and processing plants. This minimizes downtime, extends asset lifespan, and reduces 'High Operational and Maintenance Costs' (LI02), while also ensuring 'Structural Integrity & Fraud Vulnerability' (SC07) of assets.
Improving Supply Chain Logistics for Operations
Mapping the flow of equipment, spare parts, and consumables to remote extraction sites can identify logistical bottlenecks and optimize inventory management, reducing 'Logistical Friction & Displacement Cost' (LI01) and 'Systemic Entanglement & Tier-Visibility Risk' (LI06) for critical components.
Prioritized actions for this industry
Implement Digital Twin & Real-time Process Monitoring for Key Assets
Integrating process models with real-time data from sensors and IoT devices creates digital twins, enabling predictive maintenance, early anomaly detection, and immediate optimization of operational parameters, directly addressing 'Operational Blindness & Information Decay' (DT06) and 'High Operational and Maintenance Costs' (LI02).
Standardize Critical Operational Workflows Across All Sites
Develop and enforce standardized process models for high-risk and high-cost activities (e.g., well intervention, gas treatment) to improve safety, efficiency, and compliance across geographically dispersed operations, mitigating 'Significant Safety and Environmental Risks' (LI02) and 'Inconsistent Quality Across Vast Networks' (SC07).
Utilize BPM for Enhanced Emergency Response and Incident Management
Model emergency response processes to identify optimal action sequences, communication protocols, and resource allocation during incidents, reducing 'Operational Downtime & Production Losses' (LI09) and enhancing overall safety responsiveness.
Integrate BPM with Procurement and Logistics Planning
Map out the procurement-to-delivery process for critical equipment and consumables to optimize lead times, reduce 'Logistical Friction' (LI01), and improve 'Systemic Entanglement & Tier-Visibility Risk' (LI06) within the supply chain, ensuring timely availability of resources.
From quick wins to long-term transformation
- Document and optimize one or two high-frequency, high-impact operational processes (e.g., daily well checks, routine maintenance tasks).
- Conduct workshops with frontline staff to gather 'as-is' process insights and identify immediate bottlenecks.
- Implement basic BPM software to visualize existing workflows and identify obvious redundancies.
- Develop 'to-be' process models for core activities like drilling, gas processing, and pipeline integrity management.
- Integrate BPM with existing SCADA systems and asset management software to create a unified operational view.
- Train operational teams and middle management in BPM methodologies and change management to foster adoption.
- Establish a dedicated Process Excellence team to continuously monitor, refine, and innovate operational processes across the enterprise.
- Implement AI/ML-driven process automation and dynamic optimization based on real-time data and predictive analytics.
- Extend BPM to cover the entire asset lifecycle, from design and construction to decommissioning, ensuring circularity and sustainability.
- Resistance from employees accustomed to old ways of working; inadequate change management.
- Focusing solely on 'as-is' processes without clearly defining and implementing 'to-be' optimized processes.
- Lack of integration with existing IT and OT systems, leading to fragmented insights and data silos.
- Over-engineering simple processes, making them overly complex and difficult to follow.
- Insufficient data quality and availability to effectively model and analyze complex processes.
Measuring strategic progress
| Metric | Description | Target Benchmark |
|---|---|---|
| Operational Cycle Time Reduction | Percentage reduction in the average time required to complete critical operational processes (e.g., drilling a well, maintenance turnaround). | 15% reduction within 2 years |
| Safety Incident Rate (per 1M man-hours) | Number of recordable safety incidents per million man-hours worked, reflecting improved safety protocols through process optimization. | <0.5 |
| Operational Uptime / Availability | Percentage of time critical assets (e.g., processing plants, pipelines) are operational, indicating reduced downtime due to optimized maintenance and troubleshooting. | >95% |
| Cost of Non-Conformance (CoNC) | Total costs incurred due to process deviations, errors, rework, or regulatory penalties, indicating the financial impact of process inefficiencies. | Reduce by 20% annually |
| First-Time Right (FTR) Percentage | Proportion of tasks or operations completed correctly without rework or subsequent issues on the first attempt. | >90% |
Other strategy analyses for Extraction of natural gas
Also see: Process Modelling (BPM) Framework