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REAL-TIME PIPELINE BATCH INTERFACE DETECTION & TRANSMIX REDUCTION
- 1. Upstream Midstream Downstream CONFIDENTIAL REAL-TIMEPIPELINE BATCH INTERFACE DETECTION AND TRANSMIX REDUCTION USING NIR SPECTROSCOPY AND MACHINE LEARNING ALGORITHMS David Pinkerton, Walter E. Poquioma, Nathanial Watson, Jie Zhu, Paul Little JP3 Measurement
- 2. Upstream Midstream Downstream CONFIDENTIAL ProcessLine Process Flow Sample Stream to Flowcell Sample Return Principle of Operation 1. Sample continuously streams through flowcell 2. Verax analyzer spectrometer emits NIR energy via fiber optic cable through process in flowcell 3. NIR return energy less absorbed energy 4. Spectrometer creates spectra 5. On-board computer utilizes chemometric models to analyze produced spectra and product outputs 6. Results in ZERO sample system emissions! NIR Light Out NIR Light Return Local System 2 P Sample Port NIR Analyzer – Normal Operation
- 3. Upstream Midstream Downstream CONFIDENTIAL Agenda •The Transmix Problem • Automatic Interface Detection Algorithm (AIDA) • Motivation • Description • Application to Refined Fuels • Application to Crude Oil • Future Developments
- 4. Upstream Midstream Downstream CONFIDENTIAL TheTransmix Problem
- 5. Upstream Midstream Downstream CONFIDENTIAL AIDA- Motivation $$S$ $S$$ $ Diesel Gasoline Diesel-Gasoline Transmix • Pipelines that transport different products in batches have an interface (transmix) fluid. • Moving pure products (Gas, Diesel, Jet, etc.) to Transmix tank translates to loss of profit due to lower price of Transmix. • AIDA was made for: • Accurate detection of start and end of transmix region in Real Time. • Allowing better classification of pure products.
- 6. Upstream Midstream Downstream CONFIDENTIAL AIDA- Observation Decomposition Near Infrared Spectra Decomposed data space (aka “Process Space”) • Transforming NIR Spectra to their decomposed representation: • Similar Spectra cluster together • Spectra belonging to the same pure product are similar; therefore, cluster together • Transmix spectra do not generally cluster together (with some exceptions related to flow) • Transmix moves from one pure product cluster to another as time progresses. Pure Product 1 Transmix Pure Product 2
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- 8. Upstream Midstream Downstream CONFIDENTIAL AIDA- Description 1) Get the spectra collected in the last N minutes. 2) Draw a sphere around the most recent collected spectrum in Process Space. 3) Calculate percentage of points within sphere. 4) Compare percentage of points within sphere to the user selected threshold. 5) If above threshold label spectra as pure product otherwise label as transmix. 1 2 3 % 𝑝𝑜𝑖𝑛𝑡𝑠 𝑖𝑛 = 𝑝𝑜𝑖𝑛𝑡𝑠 𝑖𝑛𝑠𝑖𝑑𝑒 𝑠𝑝ℎ𝑒𝑟𝑒 𝑡𝑜𝑡𝑎𝑙 𝑝𝑜𝑖𝑛𝑡𝑠 4 % 𝑝𝑜𝑖𝑛𝑡𝑠 𝑖𝑛 > 𝑡ℎ𝑟𝑒𝑠ℎ𝑜𝑙𝑑? • Yes → Pure Product • No → Transmix 5 Pure Product 1 Transmix Unlabeled Product
- 9. Upstream Midstream Downstream CONFIDENTIAL AIDA- Description
- 10. Upstream Midstream Downstream CONFIDENTIAL AIDA- Description
- 11. Upstream Midstream Downstream CONFIDENTIAL AIDA- Description
- 12. Upstream Midstream Downstream CONFIDENTIAL AIDA- Description
- 13. Upstream Midstream Downstream CONFIDENTIAL AIDA- Validation 1 – Interface; 0 – Stable Product Product Identifier Product Identifiers • 200- Diesel • 300- Conventional Gasoline • 500- Premium Gasoline
- 14. Upstream Midstream Downstream CONFIDENTIAL AIDA- Validation Measured Flash Point Readings: 127 F 129 F 131 F
- 15. Upstream Midstream Downstream CONFIDENTIAL AIDA- Validation
- 16. Upstream Midstream Downstream CONFIDENTIAL FutureDevelopments •Automation of spheroid radius and threshold determination •Enhanced UX/UI •Application to a crude oil transport pipeline • ESG Opportunities • Enhance pricing •Additional decomposition techniques