Pipeline capacity calculations are used to accept transport commitments, and on a daily basis depend on what is inside de pipe and what will be delivered into the pipe. In some cases, there is no time to prepare and stabilize product properties but only to assure maximum or minimum quality requirements so capacity cannot be precisely calculated. In this uncertainty scenario, this work presents a throughput prediction methodology based on a novel similarity measure of line fill and statistical analysis of observed quantity and quality values, in order to achieve proper throughput prediction. The proposed similarity measure represents the line fill of a pipe as an ordered set depicted as a vectorial path. This approach identifies days with similar initial line fill and by fetching and processing throughput of similar days, gives an estimated throughput for the analyzed day.
Skip Nav Destination
Pipeline Throughput Prediction in Quality and Quantity Uncertainty Scenarios
Christian Reyes
Christian Reyes
CENIT Logística y transporte de hidrocarburos
Search for other works by this author on:
Paper presented at the PSIG Annual Meeting, Charleston, South Carolina, May 2024.
Paper Number:
PSIG-2413
Published:
May 07 2024
Citation
Reyes, Christian. "Pipeline Throughput Prediction in Quality and Quantity Uncertainty Scenarios." Paper presented at the PSIG Annual Meeting, Charleston, South Carolina, May 2024.
Download citation file:
Sign in
Don't already have an account? Register
Personal Account
You could not be signed in. Please check your username and password and try again.
Could not validate captcha. Please try again.
Pay-Per-View Access
$15.00
Advertisement
9
Views
Advertisement
Suggested Reading
Advertisement