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API Phase Boundary Reference Database for Natural Gas Mixtures

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Natural Gas Mixture Data. Independent Laboratory Z-Factor Measurements ... Need phase boundary data for condensates in commingled system. ... – PowerPoint PPT presentation

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Title: API Phase Boundary Reference Database for Natural Gas Mixtures


1
API Phase Boundary Reference Database forNatural
Gas Mixtures
2
Previous 20.1 need
  • Realistic phase data and uncertainties on for
    real complex fluid mixtures.
  • Provide an experimental data base that is valid
    and can be applied to validate the performance
    characteristics of any phase models for complex
    fluid systems.
  • Provide foundation physical property data.

3
Overview
  • Phase I provides background phase boundary data
    for natural gas mixtures. It provides basic phase
    data collection/compilation, data gap
    identification and recommendations for Phase II.
  • Phase II was envisioned as an experimental
    measurement and data evaluation effort to fill
    realistic mixture phase boundary data gaps and
    establish complex mixture reference data
    uncertainty.
  • Follow-up efforts were envisioned to support the
    implementation of the results in Chap. 20.1.

4
Approach
  • Apply the multi-component data development
    approach for phase boundary data that was used
    for the development of the real fluid density
    data base.
  • The mixture data base is the foundation data of
    API 14.2/AGA8/GERG (ISO 12213/20765) models.

5
Identified Target Uncertainties
Region IV
1.0
Region III
0.5
Region II
0.3
Region I
0.1
Custody Transfer Region
0
6
Natural Gas Mixture Data Independent Laboratory
Z-Factor Measurements Pressure-Temperature
Conditions, Regions 1, 2, and 3
gt 20,000 Data Points
7
NATURAL GAS MIXTURE Z DATA Data Sets vs.
Composition
Natural and some un-natural gas mixture data
8
NATURAL GAS MIXTURE Z DATA Data Sets vs.
Composition
Reference natural gas mixture data
1
Gulf Coast Gas Data Range
GRI Reference Gas Mixture
Traceable data
2
Amarillo Gas Data Range
GRI Reference Gas Mixture
Traceable data
3
Ekofisk Rich Gas Data Range
GRI Reference Gas Mixture
Traceable data
High CO2 Gas Data
GRI Reference Gas Mixture
GRI Reference Gas Mixture
High N2 Gas Data
Very Rich Gas Data / Critical Region Range
9
Gulf Coast Related Field Mixtures
10
Gas Phase Density Data
  • Realistic
  • Great data (lt 0.1 uncertainty)
  • Very limited component range relative to phase
    boundary needs !

11
Phase Boundary Reference Data
  • Catalog phase boundary data for realistic
    multi-component systems and identify phase
    boundary data gaps for such systems.
  • The multi-component mixture data are data that
    are similar to actual field/system/pipeline/proces
    s fluid data.
  • Approach Subdivide the phase boundary data into
    categories with similar fluid component
    characteristics.
  • Phase Boundary Data Fluid Categorization Groups
  • LNG type fluid mixtures
  • Dry gas type fluid mixtures
  • Condensate/retrograde gas type fluid mixtures
  • Volatile oil type fluid mixtures
  • Black oil type fluid mixtures
  • Subgroups characterized by data set component
    characteristics.
  • e.g. aliphatics, aromatics, olefinics,
    diluents, acid gas, water, etc.
  • Focus on data sets with detail composition
    analysis, not uncharacterized fluids.

12
Phase Boundary Multi-component Data Sets
  • GPA - 15 sets
  • U.Mich 128 sets
  • Gasunie (requested data release)
  • Delft 2 sets
  • SWRI 4 sets
  • EffecTech 10 sets
  • ARCO 2 sets
  • GRI - 3 sets
  • GERG

13
Component Range of Data
  • GPA - up to C10, (some C30)
  • U.Mich - up to C13
  • EffecTech up to C12
  • SWRI up to C10
  • Delft up to C16
  • Gasunie up to Cx (assume C16)
  • GRI up to C6
  • Arco up to C10

14
P,T Range for Realistic Multi-component Phase
Boundary Data
15
Data Source Compositions
16
Data Source Compositions (cont.)
17
Multi-component data T,P range
  • Survey
  • Only allocation type data, i.e. composition data
    no dpt. or vle mixture data.
  • Data gaps
  • Composition data gaps (component range)
  • T,P condition data gaps
  • Data validation gaps i.e. independent data sets
    and analysis, quantifies the uncertainty of any
    measured data.
  • Data property gaps

18
Recommendations
  • (1) a comparison of the experimental data
    compiled under Phase I should be made to single
    phase multi-component mixture data on relevant
    properties, e.g. density to establish uncertainty
    trends in the basic phase boundary data

19
Recommendations
  • (2) phase boundary and uncertainty targets should
    be considered by the industry

20
Recommendations
  • (3) a limited number of sets of reference quality
    mixture data should be obtained to establish
    phase boundary uncertainties for specific fluid
    categories, e.g. LNG mixtures with commingled
    systems

21
Recommendations
  • (4) reference data measurements should include
    multiple property measurements, e.g. dew point,
    density, sound speed, phase fractions and other
    properties of interest at and within the
    two/three phase regime

22
Recommendations
  • (5) component considerations should be extended
    to include fluids containing water, brines,
    hydrogen sulfide, and injected chemicals for
    fluid control.

23
Status
  • Draft final report prepared.
  • Submission to API.
  • Needs
  • Per recommendations
  • Define commingled fluid characteristics for Phase
    II multi-component fluid phase and property
    measurements to fill data gaps.

24
Phase Boundary Reference Data
  • Fluid Category LNG related systems
  • LNG phase boundary mixtures LNG blends with
    commingled fluid mixtures.
  • Status
  • - Low T LNG VLE data exists uncertainty
    unknown.
  • - No industry mixture phase data for LNG -
    commingled system.
  • - LNG type mixture data with well defined
    commingled blends does not exist.
  • Situation
  • Commingled vle data gap.
  • Need to define composition character of
    commingled systems.
  • Impacts
  • Fluid sampling, measurement, design, equipment
    selection, equipment maintenance, EOS tools and
    analysis, training, balances, allocation
    methodology/algorithms.
  • Suggest
  • Minimum of 3 LNG type reference mixtures w/
    independent duplicate measurements to validate
    the uncertainty of the data. Number of reference
    mixtures depends on composition characteristics
    of blended fluids suggest a moderate and rich
    fluid mixture.

25
Industry Phase Boundary Reference Data
  • Fluid Category Dry gas related systems
  • Dry gas phase boundary gas mixtures Dry gas
    blends with commingled fluids.
  • Status
  • -Dry gas phase vle data exists uncertainty
    unknown.
  • -Because of sampling and GC uncertainty existing
    data may be misclassified or inconsistent - TBD.
  • -Dry gas data with well defined commingled
    blends does not exists.
  • Situation
  • Phase boundary data gas for commingled systems
    is likely needed.
  • Need to define composition character of
    commingled systems.
  • No surprises expected just need validation
    phase data to quantify data uncertainty.
  • Impacts
  • Fluid sampling, measurement, design, equipment
    selection, equipment maintenance, training, EOS
    tools and analysis, balances, allocation.
  • Suggest
  • Minimum of reference mixtures measured w/
    independent duplicate measurements to validate
    the uncertainty of the data. Number of reference
    mixtures depends on composition characteristics
    of blended fluids.

26
Industry Phase Boundary Reference Data
  • Fluid Category Condensate / retrograde related
    systems
  • Condensate phase boundary mixtures - Condensate
    blends with commingled fluids.
  • Status
  • -Limited condensate vle data appears to exist
    data uncertainty unknown.
  • -Condensate data with commingled blends does not
    exists.
  • Situation
  • -Should expand the existing condensate vle data
    base.
  • -Need phase boundary data for condensates in
    commingled system.
  • -Need to define composition character of
    commingled systems.
  • -Need to quantify the uncertainty of existing
    condensate phase data.
  • Impacts
  • Fluid sampling, measurement, design, equipment
    selection, equipment maintenance, training, EOS
    tools and analysis, balances, allocation.
  • Suggest
  • Minimum of reference mixtures measured over
    reference fluid mixtures w/ independent duplicate
    measurements for measured phase data uncertainty
    validation. Number of reference mixtures depends
    on composition characteristics of blended fluids.
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