Sub‑optimal pipeline and terminal schedules causing lost throughput and revenue
Definition
When pipeline and terminal movements are scheduled manually or with basic tools, operators underutilize pipeline and tank capacity, forcing them to move less volume than the network can physically handle. This reduces sellable throughput and associated tariff or margin revenue compared with what optimized scheduling consistently achieves.
Key Findings
- Financial Impact: If scheduling optimization improves operational and planning efficiency by 41% and profitability by 51% for a Fortune 500 pipeline/terminal operator, even a conservative 5–10% under‑throughput on a 500,000 bbl/day network at $2/bbl margin equates to roughly $18–36M per year in lost contribution margin before optimization.
- Frequency: Daily
- Root Cause: Lack of advanced, integrated pipeline and terminal scheduling tools that consider tank inventories, batch sequencing, contamination constraints, and pump power costs in one model, leading to non‑optimal injection/removal sequences and chronic under‑utilization of available capacity.[1][4][6]
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Oil and Coal Product Manufacturing.
Affected Stakeholders
Pipeline schedulers, Terminal schedulers, Midstream commercial managers, Refinery supply and logistics planners, Trading and marketing teams
Deep Analysis (Premium)
Financial Impact
$10-22M annually from vessel demurrage, premium emergency sourcing, and lost volume commitments • $12-25M annually from vessel demurrage, off-spec fuel rework, and lost volume due to terminal congestion and poor scheduling • $15-28M annually per large terminal operator from 5-10% under-throughput on 500,000 bbl/day network at $2/bbl margin
Current Workarounds
Aviation fuel buyer maintains separate scheduling log; manual confirmation with terminal via email and phone; ad-hoc prioritization based on 'which airline called last' • Email order receipt; Excel-based feasibility analysis; phone calls to confirm delivery windows; manual slot booking • Email-based nomination tracking; Excel spreadsheet for spec verification; phone calls to confirm tank assignments
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
Excess pumping energy, drag‑reducing agent, and operating costs from inefficient schedules
Product contamination and interface reprocessing due to poor batch sequencing
Delayed billing and revenue recognition from fragmented scheduling and accounting data
Idle pipeline and tank capacity from manual, non‑optimal scheduling
Regulatory non‑compliance exposure from inadequate scheduling visibility and reconciliation
Opportunistic misallocations and unauthorized usage enabled by opaque scheduling and tracking
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