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API MPMS Chapter 23.1 Reconciliation of Liquid Pipeline Quantities, First Edition
Handbook / Manual / Guide by American Petroleum Institute, 06/01/2016
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FIRST EDITION, JUNE 2016
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Copyright © 2016 American Petroleum Institute
This Standard, API MPMS Chapter 23.1, supersedes API MPMS Standard 2560, Reconciliation of
Liquid Pipeline Quantities, 1st Edition, and API MPMS Standard 2560 has therefore been withdrawn.
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Scope 1
General 1
Field of Application 1
Normative References 1
Terms and Definitions 2
Loss/Gain Analysis 3
General 3
Loss/Gain Equations 3
Presentation of Data 4
Control Charts 4
Pipeline System Control Charts 6
Meter Factor Control Charts 9
Trending Charts 10
Cross Plots 11
Cumulative Charts 12
Two Types of Cumulative Percent 14
Troubleshooting 15
General 15
The Troubleshooting Process 16
Inaccuracies and Uncertainties 17
Explainable Loss/Gain 22
Reporting 23
Resolving the Loss/Gain 23
Calculating Statistical Uncertainties 24
Annex A (informative) Statistical Calculations 26
Annex B (informative) Troubleshooting Guide for Pipeline Measurement Operations 31
Bibliography 35
Figures
Sample Control Chart 5
Two Years of Data for Control Limits 6
Control Chart for the Following Year 6
Control Chart with Three Patterns 7
Control Chart with Cyclic Patterns 8
Control Chart with a Change in the Process 8
Moving Range Chart 9
Trending Control Chart 10
Simultaneous Variations in Meter Factor and Flow Rate 11
Cross Plot of Meter Factor vs Flow Rate 11
Cumulative Plots 13
Cumulative GSV and NSV 13
System with a Leak 14
Types of Cumulative Percent 15
Initial Meter Proving 18
Meter Proving Continued 18
v
A.1 Correlation Between Two Data Sets 29
Tables
Example of Cumulative Sum 14
Example of Moving Sum 15
Sample Calculation of Mean and Standard Deviation 26
Sample Calculation of Estimated Standard Deviation 27
Example of Calculation of a Correlation Coefficient 28
In the ideal world, every drop of liquid received into a pipeline system and every drop delivered out of the system, as well as all liquid inventory within the system, would be measured and accounted for precisely, and a comparison of all receipts and all deliveries—adjusted for inventory changes—would be exactly the same. The system would never experience a loss or a gain. Unfortunately, this ideal pipeline balance seldom exists in the real world.
Most pipeline systems typically experience some degree of loss or gain over time. This represents the normal loss/gain performance for a system. From time to time, losses or gains greater than normal may occur for a variety of reasons. Excessive or unexplained loss/gain often leads to contention between participating parties, sometimes requiring monetary settlements to adjust for abnormal loss/gain. In such cases, it is necessary to be able to (1) identify abnormal loss/gain as quickly as possible, (2) determine the magnitude of abnormal loss/gain, and (3) institute corrective actions.
Sometimes losses or gains are real, and adjustments shall be made to correct shipper batches and/or inventories. Most of the time, though, there are no real physical losses or gains. The loss/gain that occurs in day-to-day operation is usually small (a fraction of a percent) and is caused by small imperfections in a number of measurements in a system.
In a sense, loss/gain is a measure of the ability to measure within a system. Loss/gain should be monitored for any given system at regular intervals to establish what is normal for that system and to identify any abnormal loss/gain so that corrective action can be taken.
Reconciliation of Liquid Pipeline Quantities
This publication provides methodologies for monitoring liquid pipeline loss/gain and for determining the
normal loss/gain level for any given pipeline system. Troubleshooting suggestions are also presented.
This document does not establish industry standards for loss/gain level because each system is
individual and exhibits its own loss/gain level and/or patterns under normal operating conditions.
The document provides operational and statistically based tools for identifying when a system has
deviated from normal, the magnitude of the deviation, and guidelines for identifying the causes of deviation from normal.
The primary application of this publication is in custody transfer liquid pipeline systems in which there is
provision for measuring all liquids that enter the system and exit the system, as well as liquid inventory within the system. The application is not intended for nonliquid or mixed-phase systems.
The applications and examples in this document are intended primarily for custody transfer pipeline
systems, but the principles may be applied to any system that involves the measurement of liquids into and out of the system and possibly, inventory of liquids within the system. Such systems may include pipelines, marine terminals, marine voyages, bulk loading or storage terminals, tank farms, and rail and trucking systems.
The following referenced documents are indispensable for the application of this document. For dated references, only the edition cited applies. For undated references, the latest edition of the referenced document (including any amendments) applies.
API Manual of Petroleum Measurement Standards (MPMS) Chapter 2, Tank Calibration
API Manual of Petroleum Measurement Standards (MPMS) Chapter 3.1A, Manual Gauging of Petroleum and Petroleum Products
API Manual of Petroleum Measurement Standards (MPMS) Chapter 4.8, Operation of Proving Systems
API Manual of Petroleum Measurement Standards (MPMS) Chapter 11.1, Temperature and Pressure Volume Correction Factors for Generalized Crude Oils, Refined Products, and Lubricating Oils
API Manual of Petroleum Measurement Standards (MPMS) Chapter 12.3, Volumetric Shrinkage Resulting from Blending Light Hydrocarbons with Crude Oil
API Manual of Petroleum Measurement Standards (MPMS) Chapter 13.1, Statistical Concepts and Procedures in Measurement Methods of Evaluating Meter Proving Data
API Manual of Petroleum Measurement Standards (MPMS) Chapter 13.2, Statistical Methods of Evaluating Meter Proving Data