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Monitoring and Risk Management

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Maurice Dusseault Successfully identified which beds were shearing under the large compactions Identified regions of many diffuse MS events where normal faulting may ... – PowerPoint PPT presentation

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Title: Monitoring and Risk Management


1
Monitoring and Risk Management
  • Maurice Dusseault

2
Why Monitor?
  • To increase efficiency of oil production
  • To make intelligent workover decisions
  • Process control enhancement (higher recovery)
  • Well rate enhancement, field management
  • To improve our understanding of the physics
  • To test model predictions
  • To provide verification of scaling approaches
    between lab, theory, and the field
  • For safety environmental purposes
  • All of these reduce risk

3
The Optimization Loop
In situ state (p,s Science studies Behavioral
laws Simulations Experience
Better physics Better models Predictions Other
applications New processes
DESIGN
OPTIMIZATION
MONITOR
PRODUCE
4
Classification of Approaches
  • Proximal methods (in well, at the flow line)
  • Remote methods (generally geophysics)
  • Passive methods (e.g. T, p, MS emissions)
  • Active methods (4D seismic, electrical surveys)
  • Snapshot methods (e.g. an InSAR image)
  • Continuous methods (e.g. electronic tiltmeters)
  • Offshore/onshore (e.g. seafloor pressure gauges
    offshore, vs. survey points onshore)

5
Special Well Monitoring
5 of wells in a heavy oil field can be specially
monitored
6
Manual Volumetric Analysis
  • E.g. Dean-Stark for oil and water content
  • Sand settling tubes for sand volume percent
  • To measure gas cut, the flow line is opened to a
    vacuum bomb, sealed, and sent for analysis
  • Clay as well?
  • Requires hand work!

Dean-Stark for oil content and water percent
BSW
Risk management requires measurements, and some
of them are made by hand
7
Sand Granulometry for Sanding
  • Establish a type gran-ulometry from cores
  • Precise granulometry bulk average samples
  • Frequency of large grain occurrence
  • Clay (lt2 or 5 mm)
  • Correlate to type data
  • See where sand is coming from
  • Other inferences

? units
8
Monitoring Logging Cased Wells
  • g-g (r) log casing collar locators (Dz)
  • CNL phase analysis to estimate porosity changes
    behind casing
  • Multi-arm caliper log to track casing shape
  • Dipole sonic log to assess velocity and
    attenuation state farther from the wellbore
  • T logs and tracers behind the casing logs
  • Borehole gravimeter log (half-space effect)
  • Other useful logs? Saturation changes, acoustic
    logs for microannulus, and so on

9
Measuring Reservoir Changes
  • Before CHOPS f 30
  • After f changes, k,
  • Top cavity or gas zone
  • Shaley streaks are gone
  • Thin cemented beds too
  • Yielded zone f 40
  • Lower zones less so
  • We can use logs to help understand CHOPS
  • Various logs, used at different times

Neutron porosity log
Influence radius
porosity
shale caprock
cavity or gas zone
shaley zone
shale gone
cemented siltstone
f before
f after
30
36-44
unaffected
shale baserock
10
Remote Monitoring - Geophysics
  • 2-D VSP
  • 3-D (4-D) seismic velocity, Quality tomography
  • Cross-hole seismic tomography
  • Surface and deep deformation measurements
  • Microseismic monitoring of shearing events
  • Electrical monitoring of DW - tomography
  • Multipurpose monitor wells
  • Gravimetry, others, but we cant do all of them
  • so lets look at deformation measurements

11
Temperature Changes ?V
?p 0
fn.-gr. ss
shale
convection
ss
shale
?T 100ºC
cs.-gr. ss
?T 0
12
Temperature Changes
  • Conductive-convective heat transport
  • But, ?T causes rock ?V as well!
  • ß 3-D thermal expansion coefficient
  • The ?V acts against the surrounding rock
  • This alters the effective stress
  • So what?? What does this mean??

13
Reservoir Volume Change
?T generates expansion of the zone. This means
that it pushes against the world, and radial
stresses rise, tangential stresses drop.
Expanding region from DT
14
A Pure Volume Change - ?V
Surface deformation shapes
Z
?V
15
A Pure Shear Displacement - ?S
Surface deformation shapes
Z
16
?V ?S Deformations
Surface deformation shapes
?zV ?zS
Z
?S
?S
?V
?V
17
Consequences Shear Dilation
?T??V??s' In weak rocks, shear occurs. This is a
process of dilation
hot region expansion
?V
18
So What Happens Now?
  • ?T causes ?V (expansion)
  • ?V pushes against the rock ? ?s'
  • However, the radial stress rises, the tangential
    stress drops, and shear occurs
  • This is a process of dilation. Dilation ?V is 5
    to x10 times larger than ?T effect
  • Some consequences
  • f?, k?, all transport properties change
  • Stresses change, fracture pressures (PF),
  • And so on

19
Dilation and Recompaction
Cold Lake 40 m thick zone
Almost full ?z recovery observed in later cycles
Cycle 1
Cycle 2
Cycle 3
Cycle 4
1.00
injection soak production
0.75
Dz
Vertical heave Dz - m
injection soak production
0.50
injection soak production
0.25
Limited recovery of Dz in first production cycles
?V from ?T
0
initial ground elevation
time
20
Shear Dilation from ?T
  • Assume ?T 250ºC throughout zone
  • For a 40 m thick reservoir, ?z 6 - 9 cm
  • ?z of 15-30 cm observed in a single cycle
  • Also, after many cycles, a permanent ?z of 50-80
    cm has been observed!
  • Clearly, most of this is shear dilation
  • How do you couple these processes?
  • How do you quantify and calibrate?
  • MONITORING AND ANALYSIS!!!

21
Deformation Monitoring Methods
22
Deformation Monitoring
  • Shear and ?V generate a deformation field
  • This field can be sampled ?z, ?? (tilt)
  • With enough quality data, inversion possible
  • An inversion is a calculation of what is
    happening at depth, based on remote measurements
  • Inversions give the magnitude and location of
    shearing and volume change
  • These factors are linked to inj./prod. history
  • Reservoir management decisions, such as
    inj./prod. strategy, based on interpretations

23
Deformation Measurements
  • Some technologies
  • Satellites INSAR
  • Surface surveys
  • Aerial photography
  • Laser ranging
  • Precision tiltmeters
  • Extensometers
  • Casing strain gauges
  • Fibre optics methods
  • Geophysical logging

pressure
6 hours
Pressure or surface tilt
?tilt at one point
event
Time
24
Radioactive Bullets
  • Zone of interest selected
  • Before casing, radioactive bullets are fired into
    the strata (not too deep!)
  • Casing is placed
  • Baseline gamma log run
  • Logging is repeated (DT), and the difference in
    gamma peaks is measured
  • Strain ?L/L, accuracy 1-2 cm over a 10 m base

baseline log repeat log
DL
compacting zone
L
L-DL
stable reference
25
Casing Collar Logs
  • Casing moves with the cement and the rock
  • The casing collar makes a thicker steel zone
  • This can be detected accurately on a log
    sensitive to the effect of steel (magnetic)
  • Logs are run repeatedly, strain ?L/L
  • Similar to previous diagram
  • Short casing joints can be used for detail
  • If casing slips, results not reliable
  • If doglegged, cant run the log

26
Borehole Extensometers
  • Wires anchored to casing
  • Brought to surface, tensioned (max 1000 m?)
  • Attached to a transducer or to a mechanical
    measuring tool
  • Readings taken repeatedly
  • Resistant to doglegging
  • Logs cant be run in the hole
  • Other instruments can be installed in the same
    hole

wire 3
wire 1
sheaves
wire 2
DL
W
anchor 3
casing
anchor 2
anchor 1
27
Casing Deformation
Shear
Wedging
Courtesy Trent Kaiser, noetic Engineering
28
Other Borehole Methods
  • Strong magnets outside fibreglass casing are used
    (fibreglass just over the interest zone) give a
    strong magnetic signal
  • Strain gauges bonded to the casing, inside or
    outside (best), wire leads to surface
  • Gravity logs (downhole gravimeter)
  • Other behind-the-casing logs which are sensitive
    to the lithology changes
  • Tiltmeters can be placed in boreholes

29
Real-Time GPS Monitoring System
antenna
site
30
Site Monitoring Array
  • 1.5 km2 site
  • 25 inj/prod wells
  • Progressive CSS
  • Start at bottom, move up row by row, soak, then
    produce till H2O
  • 186 benchmarks placed
  • Surveyed every 4-6 wk
  • Deformations in the elapsed time analyzed

Alberta example, steam injection pilot
31
Measurement Parameters
  • Precision must be acceptable (5 of ?zmax)
  • No systematic errors if possible (random only)
  • The number of measurement stations must be chosen
    carefully, depending on goals
  • If inversion needed, array designed rigorously
  • Array must extend beyond reservoir limits to
    capture the subsidence bowl
  • Stable remote benchmark needed, etc.

32
Deformation Arrays
Dz Surface surveys, satellite imagery, aerial
photography
Dq tiltmeters
Dz, Dq at surface
shallow tiltmeters
deep tiltmeters
DV in reservoir
also, displacement measurements in holes can be
used
33
Fracture Monitoring as Well
Must use tiltmeters for fracturing because
deformations are small
1.0Z
surface deformation
0.41Z
Z
tilt maxima
vert
horz
fracture
-uplift linked to aperture -shape linked to
geometry -skewness linked to asymmetry
depth
34
More About Deformations and Coupling Flow and
Geomechanics
35
Example of The Coupling Issue
  • ?T changes stresses
  • Stress changes lead to general shear
  • Shearing changes transport properties
  • Changed transport properties change the
    temperature distribution!
  • And so on
  • We can make similar conclusions about ?p
  • So Everything is coupled
  • How do we handle this?

36
A Pure Volume Change - ?V
Surface deformation shapes
Z
?V
37
A Pure Shear Displacement - ?S
Surface deformation shapes
Z
38
?V ?S Deformations
Surface deformation shapes
?zV ?zS
Z
?S
?S
?V
?V
39
Aerial Photography
aircraft
special targets for precision
flight path
Typically - 9-fold photogrammetric overlap, then,
digital and statistical analysis to give 1-5 mm
precisions
40
Various Other Methods
InSAR
surveys
tiltmeters
borehole tilt
extensometers logging methods
41
Earthquake Movements, Bam, Iran
InSAR Example
Differenced ground movements due to 2003
earthquake at Bam, Iran
Note the quadrupole configuration associated with
the shear displacement event
42
InSAR Interferogram
ground-subsidence for Phoenix, AZ
time series of transects
  • ERS1/2 SAR data
  • 18-frame time series
  • eight-year period 1992-2000

40 cm
43
Imperial Oil Cold Lake
  • mega-row
  • CSS

285 mm
200
-210
100
Vertical displacements (mm) over 86 days
260
130 mm
-165
km
heave
subsidence
mod. Stancliffe van der Kooij, AAPG 2001
44
Belridge Field, CA - Subsidence
30-40 cm per year
45
BelridgeSubsidenceRate
  • over 18 months

46
Shell Oil Canada Peace River
Multi-lateral CSS
Surface uplift / tilt data
reservoir inversion grid with 50x50m grid cells
ref. Nickles New Technology Magazine, Jan-Feb
2005
47
Expansive Lateral Strains
DEPTH (m)
WELL AGI3
WELL AGI1
120
Mudstone Sand
140
Oil Sand
160
Phase A
Limestone
180
-10 0 10 20
-20 -10 0 10
Deflection (mm)
Deflection (mm)
ref Collins (1994) insert ref. Ito Suzuki
(1996)
48
Microseismic Monitoring
49
Microseismic Monitoring
  • Large ?? redistributions during production
  • ??v changes in some zones
  • ??h as well, sometimes massively
  • The formation shear strength is locally exceeded,
    perhaps on a weak plane
  • Shearing in geological materials is a stick-slip
    phenomenon, acoustic energy is emitted
  • This can be used to track fronts and processes to
    optimize in real-time

50
Shearing Near a UCS Fracture
Shearing is the major energy release process in
HF!!
s
s
Shearing during HF of SWR has been detected
microseismically in the field on the fracture
flanks.
At the tip, parting occurs, little Denergy
51
Waterfrac Vs Gel Stimulation
Barnett Shale Microseismic Monitoring While
Fracturing
Craig Cipolla Pinnacle
52
Waterfrac Vs Gel Stimulation
Barnett Shale Microseismic Monitoring While
Fracturing
Craig Cipolla Pinnacle
53
Waterfrac Vs Gel Stimulation
Barnett Shale Microseismic Monitoring While
Fracturing
Craig Cipolla Pinnacle
54
Waterfrac Vs Gel Stimulation
Barnett Shale Microseismic Monitoring While
Fracturing
Craig Cipolla Pinnacle
55
Arching of Stresses
Microseismic emissions from high shear regions
Regions of high lateral shear potential
soft region
Regions of high shear and dilation
Compressive stress trajectories
56
MS Activity in Compaction
MS emissions will delineate slip planes and
activation of high-angle slip
region of increased lateral stresses
region of lateral unloading
slip on curved bedding planes
slip along near-horizontal, weak bedding planes
compaction
reservoir
Note, the reservoir curvature is greatly
exaggerated, x10 vertically, and the relative
compaction is also greatly exaggerated
In Ekofisk, MS monitoring helped elucidate
mechanisms
57
MS Tracking of a Fireflood (1992)
C
A
x
x
stable front
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
unstable front
x
x
x
x
x
x
x
x
x
x
x
x
x
x
A good oil production B heated
channel CD poor production
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
?
x
x
x
x
x
?
x
x
x
x
x
x
x
x
?
x
x
no discrete front
x
?
x
x
D
x
B
x
x
x
x
x
x
x
x
injector plus four producers
58
MS Integrated Monitoring
Shell Oil, Peace River
59
Parallel Processing in MS Arrays
fibre-optics or telemetry
workstation
local processors
1
2
3
4
5
monitoring or future production wells
zone of interest
sensors
60
Time Lapse Seismic 4D Seismic
  • The geomechanics coupled model is based on the
    mechanical earth model
  • The mechanical earth model comes from seismics,
    logs, cores, an correlations
  • Stress predictions are made from incorporating
    ?T, ?p over time ?t
  • Time Lapse seismic gives us ?(V, Q)
  • We try to use this to calibrate and clarify the
    geomechanics model so it becomes predictive in
    nature.

61
Integrated Monitor Wells
data acquisition
Multiple functions in a single well
give cost-effective monitoring capability
monitoring well
process well
pressure sensors
temperature sensors
triaxial accelerometers
Multiplexing and event detection algorithms make
the collection and analysis of large data streams
tractable
62
Comments
  • In conventional reservoir engineering, p and T
    measurements are needed
  • In coupled geomechanics, we need other types of
    measurements
  • Deformations
  • Changes in seismic attributes
  • Microseismic emissions mapping and analysis
  • Allow us to calibrate and perfect models
  • Which give us predictive capabilities
  • Which allows us to protect our value chain
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