Reservoir Fluid (PVT) Analysis - Value to Appraisal / Field ...
Transcript of Reservoir Fluid (PVT) Analysis - Value to Appraisal / Field ...
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Reservoir Fluid (PVT) Analysis - Value to Appraisal / Field Development Planning Brian Moffatt
PVT Information Key for all areas of Field Development
Exploration
• Composition for economics
Appraisal • Contaminants • Flow Assurance
Development • Phase Behaviour for
Reservoir Simulation
Production • Composition monitoring
PVT Information
How to Maximise the Value of PVT
Information?
Issues from Linkedin PVT Forum Questions Value of PVT
Introduction - PVT Concerns
0 2 4 6 8 10 12 14 16 18 20
Understanding PVT DataEOS Modelling Methods
PVT and Reservoir BehaviourEquipment
SamplingQC Methods
Training
Questions
Forum replies focus on: • Data QC Methods • Sampling
Introduction – PVT Concerns
0 2 4 6 8 10 12 14 16 18 20
Understanding PVT DataEOS Modelling Methods
PVT and Reservoir BehaviourEquipment
SamplingQC Methods
Training
Questions Replies/Question
How to Maximise the Value of PVT Information? • PVT Data QC
• Uncertainties from Sampling • Storage Issues • Uncertainties from PVT Lab Measurements • Understand the Data in Context
• Modelling Key Information • Focus on Matching Key Data • Correct handling MWs • Poor EOS performance for oil compressibility and viscosity • Mapping reservoir simulation results to a surface model
• Which PVT uncertainties can most affect Development?
This Presentation
PVT Data QC
Maximising the Value of PVT Data
PVT Data QC
PVT DATA QC
Traditional QC
Sampling Conditions
Well Characteristics
Field GOR vs Lab data
Sample Quality
Air /OBM Contamination
Opening Pressures of
Samples
Sample Compositions
Equilibrium Plots
Data trends
Lab Measurements
Consistency
Material Balance
Equilibrium Plots
Context / Application
Agreement with Field
Data
Sampling • Bottomhole-two phase flow into sampler • Formation tester-OBM Contamination • Separator-Reservoir two phase flow,
Recombination GOR, Liquid Carryover
Storage • Contaminant absorbtion
Measurement Errors • Sample handling-loss of heavy ends from gas
samples
Where do PVT Data Errors Arise ?
QC for Sampling Errors
Maximising the Value of PVT Information
Problem Areas
• Bottomhole-two phase flow into sampler
• Commingled flow from different intervals
QC: Bottomhole Flowing Samples
Information Obtained • Formation pressure and
pressure gradient (fluid type) • Estimate formation
permeability. • Sample compositions
Possible Problems • Two phase flow from poor
probe contact • OMB contamination
QC: Formation Tester
QC FT: OBM Contamination • GC trend analysis: hump in the compositional analysis, especially observed in
the carbon number range of the oil based mud components (C15-C20).
QC FT: Poor Compositions
9950
10000
10050
10100
10150
10200
10250
10300
10350
10400
5550 5600 5650 5700
TVD
SS ft
Pressure (psia)
Data PVT Report Oil
Use sample composition in an EOS Analysis to compare predicted and measured values for
• Surface GOR • Phase Behaviour
Compare PVT Lab Densities with Densities from Pressure Gradients
QC: Surface Sampling
0.0
2.0
4.0
6.0
8.0
10 20 30 40 50 60 70 80 9010
011
012
013
014
015
0
160
170
180
30 C
50 C
Separator GOR is highly dependent on surface conditions.
Should not
affect recombined fluid.
QC: Surface Sampling
Pressure, Bar
bbl/MMscf
One lean condensate at different conditions
01,0002,0003,0004,0005,0006,0007,000
0 500 1000 1500 2000
GOR
Msc
f/bb
l
WHP psia
CGR vs Sep Press
What causes CGR scatter? Conditions? Wellstream?
QC: Surface Sampling
CO
2
N2
C1
C2
C3
iC4nC
4iC5nC
5
C6
Benz
C7
Tol
C80.5
1
1.5
2
2.5
3
3.5
4
4.5
-2 0 2 4 6
Log 1
0(K
*P)
Temp Function
Hoffmann-Hocott Equilibrium Plot
DataTheory
QC: Surface Sampling
Equilibrium Plot Between Surface Liquid and Gas Compositions. Identifies
• Liquid Carry-over • Sample Handling
Loss of heavy ends • Poor Temperature/
Pressure Readings
Trend for Carryover
Trend for Heavy end Losses
Slide 19
What if after QC of Surface and BH samples, there are no obvious errors but the Compositions Disagree AGAIN!
QC Data in Context: Strange GC
0.001
0.01
0.1
1
10
100
% M
OL
BHS1 BHS2 BHS3 Separator
Slide 20
• Initial GOR was steady at around 8,000 scf/bbl and samples gave a typical Gas Condensate behaviour
• However recombined Separator Sample gives Psat> Pres
• This was a low Permeability Formation with high drawdown
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
9,000
10,000
1 2 3 4 5 6 7 8 9 10
GOR
scf/
bbl
Flow Period
Pres
QC Data in Context: Strange GC
Slide 21
• At lower rates and lower drawdowns the tested GOR reduced
• The API and Liquid colour suggested the fluid maybe a Volatile oil
• An EOS analysis giving a fluid with Psat= Pres gas a Volatile Oil with GOR value of 2000 scf/bbl
• FLUID IS VOLATILE OIL!
0
2,000
4,000
6,000
8,000
10,000
0 2 4 6 8
GOR
scf/
bbl
Gas Rate mmscf/d
QC Data in Context: Strange GC
QC for Sample Storage and PVT
Measurements
Maximise the Value of PVT Information
Pressures of Sample Bottles drop during storage due to cooling • Where groups of samples available the highest pressure sample is
less likely to have suffered leakage and compositional changes • With pressure drop can get deposition of asphaltenes/ sometimes
reversible Contaminant absorbtion a problem in non conditioned bottles
QC:Sample Storage
Consistency Checks used for Common Lab Measurements • CVD/DL Material Balance • EOS Modelling for reality checks
Consistency Checks routinely carried out by PVT labs, data quality now generally excellent. However historical data and data from unknown labs can still have errors.
QC:PVT Lab Measurements
AT P=0, Z-factor approaches Unity
Modelling Key Information
Maximising the Value of PVT Information
Which data do you match to? The “Best Fit” may not match well in the are of interest, e.g. if the reservoir does not drop below the saturation pressure
Modelling Key Information
PVT labs measure volumetrics well, however EOS can struggle with compressibilities. EOS models are particularly limited in modelling near critical fluids. Unrealistic phase envelopes can arise. Beware of using different compositions in a well matched EOS!
Modelling Key Information
0.6600.6700.6800.6900.7000.7100.7200.7300.7400.750
5000 6000 7000 8000
Dens
ity g
/cc
Pressure (psia)
DATASRK
Unlikely Critical
Behaviour
Conversion difficulties in transferring from reservoir modelling software to
processing modelling software! Reservoir Engineer's Process Engineer’s perspective perspective
Modelling Key Information
Matching viscosity using the LBC correlation is highly dependent on densities.
Poor densities gives poor viscosities away from control points, and also for the gas !
PVT Modelling Errors -Viscosities
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
0 200 400 600 800
Visc
osity
cp
Rs scf/bbl
B&R
Kartoatmodjo
Kartoatmodjo HO
P&F
Liquid viscosities are not well predicted by EOS and so often correlations are used. For heavy oil the errors can be >100%.
PVT Modelling Errors - MW • Samples are prepared
Gravimetrically • Response of GC Detectors are
Proportional to Mass – Internal standards are added by
weight
30
Increasing MW
Oil
PVT Modelling Errors - MW SCN31 • Average Molecular Weight for a Fraction not Known
• Each Fraction has Complex Mix of Compounds
• Different Service Companies may use Different Sets
100
120
140
160
180
200
220
240
260
280
C9 C10 C11 C12 C13 C14 C15 C16 C17 C18 C19
Frac
tion
MW
Core Labs Petrobras Expro
• Volumetrics for economics • Measured GORs • Phase Behaviour for Reservoir Simulation • Contaminants, Flow Assurance Issues • Viscosities • Compositions
Which PVT uncertainties data can most affect Development?
PVT labs measure reservoir condition densities to better than 1%. Insensitive to compositional errors from sampling. Errors small compared to GRV and Sw errors.
However, surface liquid
volumes and hence STOIIP strongly influenced by Separator Conditions.
Volumetrics
0.0
2.0
4.0
6.0
8.0
10 20 30 40 50 60 70 80 9010
011
012
013
014
015
0
160
170
180
30 C
50 C
CGR vs Sep Press
The GOR is often chosen for modelling from a single recombined sample! Is this sample consistent with the rest of the test data? Often ignore much relevant test data.
GOR
01,0002,0003,0004,0005,0006,0007,000
0 500 1000 1500 2000
GOR
Msc
f/bb
l
WHP psia
PVT labs measure volumetrics well, however still a need to QC particularly old data
Sampling errors can lead to
unrepresentative phase behaviour.
Phase Behaviour for Reservoir Simulation
Pres
PVT labs measure/calculate gas viscosities to +/- 1%. Liquid viscosities to +/- 5%. Unlikely to be important even in tight formations as permeability errors are larger.
Matching viscosities using the LBC correlation gives values are highly dependent on densities, poor densities gives poor viscosities away from control points, and also for the gas !
Viscosities
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
0 200 400 600 800
Visc
osity
cp
Rs scf/bbl
B&R
Kartoatmodjo
Kartoatmodjo HO
P&F
Liquid viscosities are not well predicted by EOS and so often correlations are used. For heavy oil the errors can be >100%, beware!
Contaminants and flow assurance issues can lead to costly topsides processing facilities and can constrain export options. Huge cost implications, cf Buzzard.
Contaminants and Flow Assurance
H2S against Cumulative Gas Production
0
5
10
15
20
25
30
35
40
45
50
0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0Cumulative gas (MMSCF)
H2S
(PPM
)
A Surprise!
Contaminants and Flow Assurance Conditions Classification by
Habitat Compounds Possible
Biogenic
compounds formed < 70 oC
Me3As, Hg (element) and Me2Hg, MeSH, Me2S,
Maturation products formed <
~140 oC
CO2, H2O, H2S, R-SH, R-S-R’, R-S-S-R’ Thiophenes, tetrahydrothiophenes, benzothiophenes
(R and R’ are alkyl groups, methyl, ethyl propyl etc)
Thermally stable products
> ~140 oC S(vap), Hg, CO2, H2S, COS, N2, H2O (as steam or liquid)
Deeper, hotter & high pressure
Conclusions Main Problems! • GOR measurements •Phase behaviour from poor samples
•Poor modelling of heavy oil viscosities and compressibilities
Be aware! •Contaminants •Wax, scale and asphaltene deposition •Compositions to indicate compartmentalisation •Small heavy end compositions
Placing the PVT data in context is one of the best methods of Data
QC
Capture the Real Picture!
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