API RP 85 : 2003(R2013)

1 SCOPE
   1.1 Wet Gas Definition and Classifications
   1.2 Liquid Hydrocarbon Measurement
   1.3 Scope Summary
2 REFERENCED PUBLICATIONS
3 DEFINITIONS AND NOMENCLATURE
   3.1 Definitions
   3.2 Nomenclature and Symbols
4 SUBSEA METER CALIBRATION AND TESTING
   4.1 General
   4.2 Testing Requirements
   4.3 Flow Test Facilities
   4.4 Calibration Test Program
   4.5 Calibration Deliverables
5 ALLOCATION METHODOLOGY
   5.1 Introduction
   5.2 Principle
   5.3 Validation of Performance and Applicability
   5.4 Derivation of Allocation Factors and Allocated
       Quantities
   5.5 Application of the Allocation Equations
   5.6 Perspective on Allocation: the Impact of
       Systematic Errors
6 INSTALLATION, OPERABILITY, PHYSICAL REQUIREMENTS
   6.1 Overview
   6.2 Normal Operating Conditions Over Field Life
   6.3 Measurement Uncertainty Expected for Normal
       Operating Conditions
   6.4 Design Considerations
   6.5 Installation Effects on Measurement
   6.6 Additional Testing on Measurement Systems
   6.7 Routine Verification
   6.8 Operation Outside Calibrated Envelope
7 ABNORMAL OPERATIONS
   7.1 Contingency Plan
   7.2 Detection of Abnormality (Normal-Abnormal Boundary
       Definition)
   7.3 Investigation (Verification of Abnormality,
       Identification of Cause)
   7.4 Remedial Action
   7.5 If All Else Fails
8 TEMPLATE FOR WET GAS PERMIT APPLICATION
   8.1 Project Identification
   8.2 Process Description
   8.3 Measurement Devices
   8.4 Pre-installation Meter Test Plans
   8.5 Operability Considerations
9 BIBLIOGRAPHY
APPENDIX A UNCERTAINTY DETERMINATION AND THE APPLICATION
           OF EQUATIONS OF STATE
APPENDIX B EVALUATING UNCERTAINTY
APPENDIX C WORKED EXAMPLE OF UNCERTAINTY-BASED ALLOCATION
APPENDIX D MONTHLY UNCERTAINTY DETERMINATION
APPENDIX E UNCERTAINTY-BASED ALLOCATION-DERIVATION OF
           OPTIMAL FACTORS
APPENDIX F WET GAS METER TECHNOLOGY
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This RP presents a recommended allocation methodology that is technically defensible and mathematically optimized to best fit the application, and that equitably accommodates variances in the uncertainty level between meters in the system