Marathon Petroleum Engineering

To harness advanced technology to transform our energy infrastructure while creating a lower-carbon future that powers America sustainably.

Marathon Petroleum Engineering

To harness advanced technology to transform our energy infrastructure while creating a lower-carbon future that powers America sustainably.

SWOT Analysis

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OKR Plan

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Align the strategy

Marathon Petroleum Engineering SWOT Analysis

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To harness advanced technology to transform our energy infrastructure while creating a lower-carbon future that powers America sustainably.

Strengths

  • INFRASTRUCTURE: Extensive refining & midstream assets enabling tech integration
  • TALENT: Strong engineering workforce with deep domain expertise
  • SCALE: $155B+ annual revenue provides significant tech investment capability
  • DATA: Advanced operational monitoring systems across 7,100+ miles of pipeline
  • CAPITAL: Strong balance sheet with $4.7B in cash for tech initiatives

Weaknesses

  • LEGACY: Aging technology infrastructure requiring extensive modernization
  • AUTOMATION: Limited advanced process automation across refinery operations
  • TALENT: Tech skill gaps in emerging areas like AI, ML and cloud architecture
  • AGILITY: Slow technology deployment cycles averaging 18+ months
  • SECURITY: Vulnerable OT systems requiring comprehensive cybersecurity upgrades

Opportunities

  • RENEWABLES: Growing renewable fuels market projected at $307B by 2030
  • DIGITAL: AI/ML optimization potential to reduce operational costs by 15-20%
  • HYDROGEN: Emerging $140B hydrogen infrastructure requiring new tech solutions
  • EMISSIONS: Carbon capture technologies addressing 30% reduction targets
  • ANALYTICS: Advanced predictive maintenance to reduce downtime by 45%

Threats

  • COMPETITION: Tech-forward competitors accelerating digital transformation
  • REGULATION: Evolving compliance requirements demanding rapid tech adaptation
  • CYBERSECURITY: Increasing sophistication of attacks on critical infrastructure
  • DISRUPTION: Accelerating energy transition threatening traditional operations
  • TALENT: Industry-wide competition for limited technology talent pool

Key Priorities

  • MODERNIZE: Accelerate digital transformation of core refining operations
  • DEVELOP: Build advanced engineering capabilities in renewables technology
  • SECURE: Strengthen cybersecurity posture across all operational technology
  • OPTIMIZE: Deploy AI/ML solutions to improve efficiency and reduce emissions
Align the plan

Marathon Petroleum Engineering OKR Plan

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To harness advanced technology to transform our energy infrastructure while creating a lower-carbon future that powers America sustainably.

MODERNIZE CORE

Transform legacy infrastructure into digital-first systems

  • PLATFORM: Implement unified operational data platform connecting 7 refineries by Q3
  • AUTOMATION: Deploy advanced process control systems at 3 key refineries improving yield by 3%
  • CLOUD: Migrate 60% of critical engineering applications to cloud infrastructure
  • DASHBOARD: Create real-time operational intelligence center with 95% system visibility
SECURE OPERATIONS

Establish world-class OT/IT security posture

  • ASSESSMENT: Complete comprehensive cybersecurity assessment of all OT systems by month 2
  • ISOLATION: Implement air-gapped security for 100% of critical operational systems
  • MONITORING: Deploy advanced threat detection across 85% of network infrastructure
  • RESPONSE: Establish 24/7 security operations center with <15 min mean time to respond
EMPOWER INNOVATION

Build cutting-edge engineering capabilities

  • TALENT: Recruit and onboard 35 specialized engineers in AI/ML, cloud, and renewables tech
  • TRAINING: Upskill 500+ existing engineers on digital tools with 90% certification completion
  • INCUBATION: Launch 3 innovation labs focused on renewable fuels and hydrogen technologies
  • PARTNERSHIPS: Establish 4 strategic university research partnerships for emerging tech R&D
OPTIMIZE EFFICIENCY

Leverage AI/ML to maximize operational excellence

  • PREDICTIVE: Deploy ML-based predictive maintenance at 5 facilities reducing downtime by 35%
  • EMISSIONS: Implement AI-powered carbon optimization reducing intensity by 8% across operations
  • EFFICIENCY: Achieve $120M in operational cost savings through AI-driven process optimization
  • DIGITAL: Create digital twins for 4 major facilities enabling scenario simulation and training
METRICS
  • CARBON INTENSITY: 30% reduction vs 2019 baseline
  • OPERATIONAL EFFICIENCY: 15% improvement in asset utilization
  • DIGITAL ADOPTION: 85% of critical systems modernized
VALUES
  • Safety & Environmental Stewardship
  • Integrity
  • Respect
  • Inclusion
  • Collaboration
Align the learnings

Marathon Petroleum Engineering Retrospective

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To harness advanced technology to transform our energy infrastructure while creating a lower-carbon future that powers America sustainably.

What Went Well

  • FINANCIAL: Strong Q1 2023 earnings with $31.7B revenue, exceeding targets
  • PROJECTS: Completed digital infrastructure upgrade at 3 major refineries
  • METRICS: Improved overall equipment effectiveness by 7% across operations
  • INNOVATION: Successfully piloted predictive maintenance at Galveston Bay
  • SUSTAINABILITY: Reduced operational carbon intensity by 5.2% year-over-year

Not So Well

  • TIMELINE: Technology modernization projects delayed by average of 4 months
  • COSTS: Digital transformation initiatives exceeded budgets by 23% overall
  • ADOPTION: User acceptance of new systems below target at 62% vs 85% goal
  • INTEGRATION: API connectivity issues between operational & business systems
  • SECURITY: Three significant cybersecurity incidents requiring remediation

Learnings

  • APPROACH: Need for more agile implementation methodology for tech projects
  • STAFFING: Critical shortage of specialized engineering talent is a blocker
  • CHANGE: More robust change management required for technology adoption
  • STANDARDS: Standardized technology platforms reduce integration complexity
  • TRAINING: Engineering teams require deeper training on emerging tech tools

Action Items

  • ESTABLISH: Create Engineering Center of Excellence for emerging technologies
  • IMPLEMENT: Deploy integrated data platform connecting operational systems
  • ACCELERATE: Fast-track cybersecurity hardening of OT infrastructure systems
  • MODERNIZE: Upgrade SCADA systems at remaining 4 refineries by Q4 2023
  • RECRUIT: Hire 50 specialized engineers focused on AI/ML and cloud solutions
Drive AI transformation

Marathon Petroleum Engineering AI Strategy SWOT Analysis

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To harness advanced technology to transform our energy infrastructure while creating a lower-carbon future that powers America sustainably.

Strengths

  • DATA: Extensive operational data from refining and midstream operations
  • FOUNDATION: Established data infrastructure with centralized repositories
  • PILOTS: Successful AI optimization projects showing 7-12% efficiency gains
  • LEADERSHIP: Strong executive commitment to AI-driven transformation
  • PARTNERS: Strategic technology partnerships with major cloud providers

Weaknesses

  • SILOS: Fragmented data systems limiting comprehensive AI implementation
  • TALENT: Limited AI/ML specialized engineering talent (only 3% of workforce)
  • GOVERNANCE: Inadequate AI governance frameworks for operational deployment
  • INTEGRATION: Poor integration between AI systems and legacy infrastructure
  • CULTURE: Resistance to AI adoption among operational technology teams

Opportunities

  • OPTIMIZATION: AI-powered efficiency gains worth $500M+ annually
  • PREDICTIVE: ML-based maintenance reducing downtime by up to 45%
  • EMISSIONS: AI optimization potential to reduce carbon intensity by 15%
  • SAFETY: Computer vision for enhanced safety monitoring across facilities
  • DISCOVERY: AI-accelerated renewable fuel and hydrogen technology R&D

Threats

  • EXPERTISE: Industry-wide competition for limited AI/ML talent
  • SECURITY: AI-enhanced cyber threats targeting energy infrastructure
  • ADOPTION: Slow organizational adaptation to AI-driven decision making
  • COMPLIANCE: Evolving AI regulations potentially limiting implementation
  • INVESTMENT: Competitors outspending on AI capabilities by 2-3x

Key Priorities

  • BUILD: Develop comprehensive AI Center of Excellence with specialized talent
  • INTEGRATE: Create unified data platform connecting operational systems
  • EXECUTE: Implement AI-powered emissions reduction and efficiency solutions
  • GOVERN: Establish robust AI governance framework for safe implementation