Process Modelling (BPM)
for Manufacture of refined petroleum products (ISIC 1920)
Petroleum refining is intrinsically a process-driven industry with highly integrated, continuous, and complex operations. Each unit operation, from crude desalting to catalytic cracking, involves precise control, safety protocols, and significant energy consumption. BPM is perfectly suited to...
Why This Strategy Applies
Achieve 'Operational Excellence' at the task level; provide the documentation required for Robotic Process Automation (RPA).
GTIAS pillars this strategy draws on — and this industry's average score per pillar
These pillar scores reflect Manufacture of refined petroleum products's structural characteristics. Higher scores indicate greater complexity or risk — see the full scorecard for all 81 attributes.
Process Modelling (BPM) applied to this industry
The inherent complexity and interdependencies within refined petroleum manufacturing render process modelling critical for translating intricate operations into actionable intelligence. By precisely mapping granular workflows, BPM directly addresses systemic friction in logistics and data, enabling proactive risk mitigation and unlocking significant efficiency gains across the entire value chain.
Quantify Inter-Unit Cascading Risk via Dynamic Models
The highly integrated nature of refinery operations means inefficiencies or failures in one unit trigger severe cascading effects, amplified by Logistical Friction (LI01: 4/5) across unit interfaces. Process modelling provides dynamic simulations to quantify these interdependencies, predict choke points, and assess the impact of 'Transition Friction' between sequential processing stages like Crude Distillation, Hydrocracking, and Fluid Catalytic Cracking.
Implement continuous, simulation-driven BPM to identify and stress-test critical inter-unit dependencies, informing buffer stock optimization and proactive maintenance scheduling to prevent system-wide disruptions.
Embed Safety & Environmental Protocols into Core Processes
Integrating stringent safety (e.g., LOTO, emergency response) and environmental compliance (e.g., emissions monitoring, waste disposal) directly into operational workflows is paramount given the industry's high Structural Security Vulnerability (LI07: 4/5) and continuous nature. BPM facilitates the direct codification of these protocols within each process step, transforming compliance from an external checklist to an intrinsic, auditable part of the operation.
Mandate a BPM framework that automatically validates adherence to regulatory and safety standards at each process gateway, ensuring proactive risk management and transparent audit trails.
Drive Logistics & Inventory Optimization Through Flow Mapping
Refinery logistics, from crude intake to final product blending and dispatch, are plagued by high Logistical Friction (LI01: 4/5) and Structural Inventory Inertia (LI02: 4/5), leading to excessive holding costs and delayed market responsiveness. Process modelling meticulously maps these complex material flows, identifying bottlenecks in storage, blending sequences, and inter-unit transfers to significantly reduce unnecessary inventory and accelerate product throughput.
Develop detailed BPM models for all internal and external logistical processes, utilizing real-time data feeds to dynamically optimize inventory levels and enhance the agility of product distribution.
Consolidate Fragmented Data for Real-Time Operational Insight
Disparate data sources and fragmented systems create significant Information Asymmetry (DT01: 4/5) and Traceability Fragmentation (DT05: 4/5), leading to 'operational blindness' across the refinery. BPM serves as the architectural blueprint for unifying these data streams, defining common taxonomies and integration points to transform siloed operational, maintenance, and quality data into a holistic, real-time view.
Establish a master BPM layer that standardizes data definitions and mandates integration pathways, enabling a single source of truth for all operational metrics and driving predictive analytics.
Uncover Energy Saving Opportunities via Process Analysis
The refined petroleum sector is among the most energy-intensive, and while energy system fragility (LI09: 3/5) exists, BPM offers a detailed framework to analyze and optimize energy flows. By mapping process-specific energy consumption and waste heat generation, BPM identifies precise opportunities for heat integration, process modifications, and co-generation, directly addressing the significant operational cost component of energy.
Conduct targeted BPM exercises focused on energy efficiency, implementing closed-loop control strategies and process redesigns to maximize waste heat recovery and minimize overall energy footprint.
Strategic Overview
The 'Manufacture of refined petroleum products' industry is characterized by highly complex, integrated, and continuous processes, making Process Modelling (BPM) an indispensable tool. Refining involves a multitude of interconnected units, from crude distillation to sophisticated conversion processes, each with specific operating parameters, safety protocols, and environmental considerations. BPM provides a graphical and analytical framework to dissect these intricate workflows, enabling the identification of bottlenecks, redundancies, and areas of 'Transition Friction' that impede efficiency, increase costs, and elevate operational risks (LI01, PM01, DT06).
By mapping out current-state (as-is) and desired future-state (to-be) processes, refiners can systematically optimize throughput, reduce energy consumption (LI09), enhance product quality, and improve safety compliance (PM03, LI07). This is crucial for an industry where even minor operational inefficiencies can lead to substantial financial losses due to high capital and operational costs, coupled with potential environmental liabilities (LI08). BPM supports data-driven decision-making, providing a clear understanding of how changes in one part of the refinery impact others.
Ultimately, BPM facilitates continuous improvement in a highly regulated and high-stakes environment. It is instrumental in fostering a culture of operational excellence, enhancing real-time operational visibility (DT08), and ensuring the refinery can adapt more agilely to market demands and regulatory changes, thereby improving both short-term efficiency and long-term resilience against systemic risks and supply chain disruptions (LI05, LI06).
5 strategic insights for this industry
Interdependent Unit Operations & Cascading Effects
Refinery operations are highly interdependent; a change or inefficiency in one unit (e.g., crude distillation unit) can have cascading effects throughout the entire refinery (e.g., impacting feed quality to catalytic cracking, hydrotreating). BPM is critical for visualizing these interdependencies, understanding potential bottlenecks (LI03), and modeling the impact of operational changes to avoid unintended consequences and optimize overall refinery performance (LI05).
Safety, Compliance, and Environmental Integration
Process modeling is essential for integrating safety protocols, emergency response procedures, and environmental compliance requirements directly into operational workflows. By visually mapping these aspects, refiners can identify potential hazards, ensure adherence to stringent regulations (LI07, DT04), and minimize environmental liabilities (LI08), thereby reducing operational risks and potential downtime.
Logistics and Inventory Optimization
From crude intake and storage to intermediate product movement, blending, and final product dispatch, refinery logistics are complex and capital-intensive. BPM helps in mapping out these logistical flows, identifying points of friction (LI01), optimizing inventory levels (LI02) for various intermediate and final products, and streamlining transportation processes to reduce costs and improve lead times (LI05).
Energy Efficiency and Waste Heat Recovery
Refining is one of the most energy-intensive industries. BPM can pinpoint specific areas within processes where energy is consumed inefficiently or where waste heat can be recovered. By modeling energy flows, companies can identify opportunities for process modifications, equipment upgrades, and operational adjustments to reduce energy costs and improve the refinery's carbon footprint (LI09, ER01).
Data Integration and Operational Blindness
Many refineries suffer from data silos and fragmented systems (DT06, DT08), leading to operational blindness. BPM, when integrated with real-time data from SCADA/DCS systems, can provide a unified view of processes, enabling better monitoring, anomaly detection, and decision-making. This helps overcome information asymmetry (DT01) and improves overall operational control.
Prioritized actions for this industry
Develop Comprehensive End-to-End Process Maps for Core Operations
Systematically map all critical refinery processes, from crude arrival to product dispatch, including inter-unit flows and utility systems. This provides a baseline ('as-is') for identifying bottlenecks, redundancies, and areas of high 'Transition Friction' (LI01, PM01) across the value chain, crucial for strategic optimization.
Integrate Safety, Environmental, and Quality Protocols into Process Models
Embed all critical safety procedures, environmental compliance steps, and product quality checks directly into process models. This ensures these non-negotiable requirements are an integral part of operations, reducing risk, improving compliance (LI07, DT04), and minimizing the potential for costly incidents or fines (LI08).
Leverage Digital Twin Technology for Process Simulation and Optimization
Implement digital twins of key refinery units or the entire facility. This allows for real-time simulation of process changes, 'what-if' scenarios, and predictive maintenance, enabling proactive optimization, minimizing downtime, and testing improvements virtually before physical implementation (DT08, PM03).
Establish Cross-Functional Process Improvement Teams
Form teams comprising operators, engineers, maintenance personnel, and supply chain specialists to review and refine process models. This collaborative approach ensures practical relevance, secures buy-in from those executing the processes, and leverages diverse expertise to identify the most impactful improvements (DT07).
Automate Data Collection and Analytics for Continuous Process Monitoring
Implement systems to automatically collect, aggregate, and analyze real-time operational data (e.g., from DCS, LIMS, historians) and feed it into process models. This enables continuous monitoring of process performance against benchmarks, rapid detection of deviations, and data-driven insights for ongoing optimization and predictive anomaly detection (DT06, DT01).
From quick wins to long-term transformation
- Map one critical, high-impact process (e.g., crude unit operation, specific product blending sequence) to identify 2-3 immediate improvement areas.
- Conduct workshops with operators to document 'as-is' processes and identify pain points, leveraging their tacit knowledge.
- Implement visual management boards for key process KPIs in control rooms.
- Develop 'to-be' process models with clear, measurable improvements and integrate them with existing SCADA/DCS systems for real-time monitoring.
- Train operators and engineers on process modeling software and methodologies for ongoing optimization.
- Pilot digital twin applications for a single, complex refining unit (e.g., FCC, Hydrocracker) to optimize throughput or energy consumption.
- Standardize processes for critical maintenance and turnaround procedures.
- Establish an enterprise-wide process architecture that covers all refinery operations and interfaces with supply chain and commercial functions.
- Full deployment of digital twin technology for the entire refinery, enabling predictive optimization and 'lights-out' operations for certain units.
- Integrate AI/ML algorithms with process models for autonomous control and self-optimization capabilities.
- Develop a centralized 'Center of Excellence' for process modeling and operational analytics.
- Over-complicating models, leading to 'analysis paralysis' or models that are too complex to be practical.
- Lack of active involvement and buy-in from operational staff, leading to models that are not used or trusted.
- Neglecting data quality and integration, resulting in 'garbage in, garbage out' for models.
- Failing to link process improvements directly to tangible business KPIs (e.g., cost savings, throughput increase, safety metrics).
- Treating BPM as a one-time project rather than a continuous improvement initiative.
- Underestimating the change management required to embed new processes and ways of working.
Measuring strategic progress
| Metric | Description | Target Benchmark |
|---|---|---|
| Process Cycle Time Reduction (%) | Percentage decrease in the time taken to complete a specific process from start to finish. | 5-15% reduction in identified bottleneck processes. |
| Operational Uptime/Availability (%) | Percentage of time a unit or the refinery is operational and producing product, excluding planned maintenance. | >95% for continuous operations. |
| Energy Consumption per Barrel (GJ/bbl) | Total energy consumed per barrel of refined product. A direct measure of process efficiency. | Year-on-year reduction; benchmark against top-quartile industry performance. |
| Yield Improvement (%) | Increase in the percentage of higher-value products obtained from a given crude slate. | 1-3% improvement for key conversion units. |
| Incidence Rate (Safety/Environmental) | Number of safety incidents (e.g., LTI, recordables) or environmental excursions per million hours worked/per year. Process models can reduce risks. | Continuous reduction towards zero. |
Software to support this strategy
These tools are recommended across the strategic actions above. Each has been matched based on the attributes and challenges relevant to Manufacture of refined petroleum products.
Bitdefender
Free trial available • 500M+ users protected • Gartner Customers' Choice 2025
Threat detection and device-level controls prevent unauthorised access to institutional knowledge, proprietary data, and sensitive IP held on employee machines
Enterprise-grade endpoint protection simplified for small and medium businesses. Multi-layered defence against ransomware, phishing, and fileless attacks — with centralised management across all devices. Gartner Customers' Choice 2025; AV-TEST Best Protection 2025.
Try Bitdefender FreeAffiliate link — we may earn a commission at no cost to you.
Other strategy analyses for Manufacture of refined petroleum products
Also see: Process Modelling (BPM) Framework