pe geosci geophysics printable
TRANSCRIPT
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Reflection Seismic
Fundamentals
Outline
Principles Acquisition and processing
Interpretation methods
Attributes
Some current applications
Goal of Seismic
To make an image of the subsurface
rock distribution
structure
stratigraphy
To make estimates of rock and fluid
properties velocity (linked to porosity, fluid content)
anisotropy, other attributes
A Seismic Section
Two-W
ayTime
Distance
Many individual tracesplotted adjacent toone another
Looks Like GeologyDiapirs
Slope deposits
Deep water systems
Detachment faults
Interpretations of SeismicProcessed seismic Interpretation overlay
Note: well-tie forcalibration
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Principles Basic Ideabat
insect
Single source
Two receivers (ears)
Processor (bats brain) to create spatial
perception
Additional spatial resolution from flying
to new location
Single
reflector
(but it also
moves)
Nothing in-between!
Sound going out Sound coming back
Acoustic Waves
P-waves (Primary waves, Pressure
waves)
S-waves (Secondary waves, Shear
waves)
Infinitesimal oscillations of particles within a mediumCaused by a shock disturbance (external source)
Disturbance passes a point, and the particles return to rest
Sound waves passing through the air are P-waves
P-WavesPush this studentto the left
and the disturbance propagates to the left
P-Waves
close together far apart
Plot of the closeness (inverse of distance) as a function ofposition (an analog of amplitude). This plot is a snapshot intime. It will change at the next instant of time as the wavemoves along.
P-WavesRepresentation of particles (nodes) in
a material, showing movements
(exaggerated) as a P-wave passes
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P-Wave Animation
Particles vibrate (oscillate) this way
Wave front propagates this way
Note: continuing
excitation of motion
S-Waves (1)
Wave propagationStudents standing on springs,and springs above them, too
Vertical polarisation
S-Waves (2)Horizontal polarisation
Wave propagation Students standing on aplatform with castors(no friction)
S-Wave Animation
Particles vibrate (oscillate) this way
Wave front propagates this way
Note: continuingexcitation of motion
Point Source In reflection seismology, the source is
usually at a point:
This could be an explosion (dynamite)
(typically, a few metres underground)
Or an air-gun (in marine surveys) (a few
metres under the water surface)
Or a vibrator truck (on land, at the surface)
Spherical Radiation
t = t0t = t1
t = t2
t = t3
Wavefront propagatesaway from the source point
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Point Source
In this animation, the sourceis continuously pulsing
Downwards Propagation
We usually think of the seismic
energy propagating downwards
(sub-vertical), so here is a
previous image rotated to show
the way that the
compressional/dilational
waveform looks in that view
Wave Relationships Changes at Interfaces
Frequency is conserved
So, if rock velocity changes,
the wavelength changes for
every frequency
Velocity Change: Fast>Slow
Change in velocity
Also note reflection of waveformfrom interface (negative reflection)
Velocity Change: Slow>Fast
Change in velocity
Also note reflection of waveformfrom interface (positive reflection)
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Typical Rock Velocities Incidence Angle
It is standard practice to represent thewave motion as a vector (a ray) whichwe can easily imagine as showing themovement of the wavefront
Conversions at Interfaces
Same as Snells Law (optics)
Total reflection
The usual case
Frequency / Power
Imagine an explosion (or other sharp
sound)
The noise is composed of a range of
frequencies, each with its own power
frequency
power
Reflection of a Sharp Sound Imagine that we hear an echo of the
explosion (from previous slide)
What does the echo sound like?
Well, pretty much the same but less
loud (lower amplitude), and deeper in
pitch (higher-frequency components are
attenuated)
A Simple Illustration Lets sum together a bunch of signals of
differing frequencies
What does the resulting signal look like?
All are in-phase at the centre of the plot
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Harmonics (1 to 11)
First harmonic
Second harmonic
Third harmonic
Fourth harmonic
Fifth harmonic
Sixth harmonic
Seventh harmonic
Eighth harmonic
Ninth harmonic
Tenth harmonic
Eleventh harmonic
Time
Amplitude
Summed Waveforms
Sum first & second
Sum first, second & third
Sum first through fourth
Sum first through fifth
Sum first through sixth
Sum first through seventh
Sum first through eighth
Sum first through ninth
Sum first through tenth
Sum first through eleventh
Summed harmonics from:
1st = fundamental frequency
to 11th.
Note progressive reduction
in:
- side lobe amplitude
- peak event width
with increasing frequency
bandwidth.
Black line (sum of 1st to 11th harmonics)
will appear again in next slide
Single Event (Wavelet)This waveform is created from
the previous sum by reducing
the amplitude of each
component frequency away
from the central spike to
represent the single reflection
event
Wavelet length (time) is a function of the frequency contentof the signal for typical seismic data (~20-80 Hz), the widthis about 10-15 milliseconds
~10 ms
Visual Display of Wavelet
Often, the wavelet isdepicted with the positivepart filled in with colour
This helps the eye/brainto see the peaks
Peak
Trough
Normal-Incidence ReflectionA wavelet is created atthe appropriate TWT
distance / velocity = time
x 2 for travel both ways
Acoustic Impedance
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Energy of Reflections
The Reflection Coefficient tells us howmuch of the incident energy is reflected
back typically much smaller than 1
Also remember the loss of
energy due to spherical
dispersion, which depends
on distance (time)
R12 = I2 I1
I1 + I2
Multiple Layers (Interfaces)
Reflections in Series
=
=
=
=
Interval TWTlayer 1
Interval TWTlayer 2
Interval TWTlayer 3
Interval TWTlayer 4
Synthetic Seismogram
Top and Bottom of Bed Adding Waveforms Together
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Interference: Top and Bottom
b is small compared towavelength (which is determinedby velocity and frequency)
Plotted so that the onset of thereflections are at 0 time
What happens when weadd these together?
Issues to consider as beds get thinner
Signal: Top + Bottom
Thickness
(expressed as ratio ofseismic wavelength)
Note that at thicknesses less than about wavelength, itis not possible to clearly resolve top and bottom of unit
from Widness (1973)
Wedge Example
The wedge is a way of
seeing the effects of variable
(unknown) thickness of the
middle layer
Note how the seismic
wavelets interfere with each
other, even when the layerthickness is greater than the
wavelength of the sonic wave
Note that this applies to real wedges of rocks:unconformities, depositional thinning, etc
Very Thin Beds
Destructive
interference of
two wavelets
This example looks at what mightbe the perfect reflector but isnt
Reflections are CompositesI p(Kg/m 2*s) Synt het ic t race
Initial Final
InitialFinal
100
200
300
TVD
(ft)
Rock column shows lithology (alsohas a GR log)
Centre column shows density ofrocks lumped into 5 m intervals. Thefinal curve is the bulk density afterwater replaces the oil.
The synthetic trace shows thewaveform(s) calculated for this rocksequence
Note that a single peak representsa heterogeneous sequence of rocks
Note also how the changes in
saturation affect the seismic signal
Recall: Wavelength & Velocity
InitialFinal
100
200
300
=216ft=65.4metres
x f = V
If f = 34 Hz
V = 2223.6 m/sec
How much geology ishidden in this singlewaveform??
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Reflections are Composites
Note how difficult it may be toinfer the causative rock(impedance) distribution thatcaused the observed seismic signal
Add signals
Wavelet has the
characteristicsof the sourcesignal, AND thereceiver system
Tuning
Internal reflection of waveleads to a duplicate signal(slightly) delayed in time
If the bed thickness and velocity are just right, theduplicate signal is offset by exactly one wavelength,and thus can reinforce the weak signal from theprimary reflection (here, from the base of the bed)
R2
R3add together
Frequency (Wavelength)
Piper Sand Unit
Scott Sand Unit
Mid-Shale Unit
Saltire Unit
KP Transition
17 Hz Ricker 25 Hz Ricker 35 Hz Ricker Vertical depth fromsurface (m)
Time (ms)Well A1 Synthetic traces
20 m thick
intra-reservoir
shale layer
from Valerie Biran (REM 2001)
Note how higher frequency
data resolves shale top, and
also reveals intra-sand details
Multiple Layers
Need a table like this...
...and the sign of the
reflection coefficients...
to produce a synthetic trace
like this at key locations
Precision We ALWAYS operate with time (TWT)
specified to the nearest 1 msec (0.001
sec)
For a rock velocity of 2000 m/sec, this
precision equates to 1 metre of distance
0.0005 sec OWT x 2000 m
0.001 sec TWT
2= 0.0005 sec OWT
sec= 1.0 metre
Many Traces: Side by Side
Here, the same trace is repeated side-by-side, but with minor verticalshifts. Note how the coloured-in peaks (and the intervening troughs)almost merge together to give the appearance of continuous layers.
Time
Distance
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Imaging Faults
Note: fault surface is not directly imaged. Instead,the fault effect is recognised in our mind when wesee the discontinuity of the reflectors
See also later commenton diffractions
Small Faults
Note how it becomes difficult to recognise thefault effect when the fault offset is small
Is the reflector offset??
We operate on the assumption that faultthrows of about the seismicwavelength can be resolved
Some of the Nitty-Gritty Acquisition
Acquisition Activities Acquisition Equipment
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Marine Acquisition Realistic Survey Methods
Multiple shots fired into receiver array, sorting within
the computer to add together images of the same
reflection point
Raypaths From One Shot
Note how each successive receiver (away
from shotpoint) has a longer path for the
seismic energy
GathersIndividual traces
Hyperbola shape
Called Normal Moveout (NMO)
Estimation of Velocity
The three hyperbolae assume a differentvelocity. The red curve is related to thecorrect velocity.
Dipping Relector
Note how ray-paths are not
symmetric around shotpoint
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Dipping Reflector Real Example of Gather
Lots of raypaths anddifferent types of
waves.
You can see why the
interpretation of shot
gathers is a
specialist task!
Processing
Need to put energy (data) into correct
locations
Have to correct for irregular acquisition
geometries and distortions caused by
non-uniform velocities (especially near-
surface, weathered layer)
A lot like the bats brain..
Raypaths from Reflection Points
Note that the subsurface configurationmay prevent signals reaching, orreturning from, certain locations
Impacts of Velocity Anomaly If there is a shallow body of slow
material, the underlying reflections are
late this is a push-down
If there is a high-velocity anomaly at
shallow depth, you get a pull-up
Every reflection event below (later) than
the anomaly is affected
Velocity Anomaly
The body with the anomalous velocity is replacingmaterial whose velocity is 2440 m/sec
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Seismic Profile
Seismic Horizons
-4.000
-3.000
-2.000
-1.000
0.000
5 15 25 35
Distance
TWT(sec
Layer 1
Layer 2
Anomalous Body
Layer 3
Layer 4
Layer 5
The reflections belowthe anomaly all havethe same push-down
Velocity Push-DownSeismic Horizons
-4.000
-3.000
-2.000
-1.000
0.000
5 10 15 20 25 30 35
Distance (km)
TWT(sec)
1820 m/s Seismic Horizons
-4.000
-3.000
-2.000
-1.000
0.000
5 10 15 20 25 30 35
Distance (km)
TWT(sec)
2300 m/s
Seismic Horizons
-4.000
-3.000
-2.000
-1.000
0.000
5 10 15 20 25 30 35
Distance (km)
TWT(sec)
2400 m/s Seismic Horizons
-4.000
-3.000
-2.000
-1.000
0.000
5 10 15 20 25 30 35
Distance (km)
TWT(sec)
2440 m/s
12 msec push-down
3 msec push-down
70 msec push-down
no push-down
Velocity Pull-UpSeismic Hor izons
-4.000
-3.000
-2.000
-1.000
0.000
5 10 15 20 25 30 35
Distance (km)
TWT(sec)
2440 m/s
no pull-up
Seismic Horizons
-4.000
-3.000
-2.000
-1.000
0.000
5 10 15 20 25 30 35
Distance (km)
TWT(sec)
2500 m/s
5 msec pull-up
Seismic Hor izons
-4.000
-3.000
-2.000
-1.000
0.000
5 10 15 20 25 30 35
Distance (km)
TWT(sec)
2600 m/s
13 msec pull-up
Seismic Horizons
-4.000
-3.000
-2.000
-1.000
0.000
5 10 15 20 25 30 35
Distance (km)
TWT(sec)
3200 m/s
49 msec pull-up
A trap???
Velocity Anomalies
Case illustrated here with a simple
geometry (flat top)
More-complex shapes are possible
Velocity anomaly might not be different
rock, but fluid content (gas?)
Gas Cloud
Gas canaccumulate insmall stringers ofsand/silt, causingsignificantscattering ofseismic energy
Large Scale Composed of
Small Scale Heterogeneities
ShaleQuant
5 6 0 0
5 6 1 0
5 6 2 0
5 6 3 0
5 6 4 0
5 6 5 0
0 5 0 1 0 0
C l a y %
Depth
Sha leQuan t
2650
2700
ShaleQuant
5 6 0 0
5 6 1 0
5 6 2 0
5 6 3 0
5 6 4 0
5 6 5 0
0 5 0 1 0 0
C l a y %
Depth
Sha leQuan t
2650
2700
2650
2700
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Mudstones from West WalesClose-up
Most mudstones are not uniform;they have small stringers of silts
Oil stain (fluorescence) in mudstoneswith stringers of sand/silt
Micro-Reservoirs
Cross-laminated sand/silt layer
capped by an erosion surface
Wavy and discontinuous sand and silt
rich lamina alternating with clay rich
layers
HC can chargethe silty laminae
Diffractions
End of body withdifferent acousticimpedance The traces near
the end receivereflections thatform a hyperbola
Ray paths toreceivers
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Gas Cloud
Thin, dis-continuous stringers of silt maybecome charged with gas
The ends of these silts may act as
diffractors
Many of them acting together can cause
serious disruption of the seismic signals
But Some Anomalies are Real
Pipes indicating extreme fluid flow events
Interpretation Mapping Events
Compressional and rarefactional energy
is the product of many interactions
Peak or trough is an event if it
continues for a significant distance
By hand: draw a (coloured) line along
the event Then transfer the TWT of the event, at
each shotpoint, to a map, and draw
contours
Picking Events
Here, the green event has been picked. We interpret thisto indicate that the rock layers are in the shape of ananticline, with each trace indicating the depth at that point.
Example
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Example
Picking the Brent event
(tied to well control)
3D Seismic
Southern North Sea
Time slice through
3D dataset
Central North Sea
Time slice through
3D dataset
Attributes AVO Amplitude versus Offset
Some due to raypath lengths (in theory,
can be removed by data processing)
Some due to incidence angles
sensitive to changes in rock properties
(e.g. porosity, rigidity, etc)
also sensitive to fluid content (saturations)
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Other Methods
Time-lapse seismic (4D) Wellbore seismic (VSP)
Cross-well seismic
Full-Field Reservoir Simulation
Saturation changes
Pore pressure changes
bar
Gas injection Gas out of solution
Gas production
WaterOilGas
Water flood
+Vp
eff
+Vp
-Vp -Vp
Vp
Stress change effectFluid change effect
Vp changes during common hydrocarbon production processes
After
Nur, 1995
FLOW
SIMULATOR
GEOMECHANICAL
SIMULATOR
SEISMIC
MODEL
PETRO-PHYSICAL
MODEL
Fluidchangeeffect
Stresschange effect
Porepressurechange
Permeabilitychange
Schematic of the elements of the modelling method
Forward
modelling
Geometry
change due to
deformation
Mean effective stress distribution at the end of the simulation
Localized effects
at faultsPerturbed stress field
above and below reservoir
Unperturbed stress field
(constant gradient)Apparent deepening of reservoir
due to decreasing pore pressure
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Reflector at
top ofcaprock
Reservoir
base
Reservoir
top
Time-lapsed seismic trace model
Pull-up in reflector event
due to stress change effects
Perturbations at reflector eventdue to fluid change effects
Wellbore Seismic Survey
Shallow 3-componentreference geophone
Movable 3-componentwall lock geophone
Seismic Waves
1. Downgoing multiple
2. Direct arrival
3. Upgoing reflection4. Upgoing multiple
WESTERN
ATLAS
WESTERNATLAS
WESTERN
ATLAS
WESTERNATLAS
SourceRecording
Survey Well
Wireline
4
1
3
3
2
Baker Atlas
VSP Record
Baker Atlas
Types of Surveys
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Frequencies of Survey Tools
10-4 10-2 10-1 100 101 102 103 104 105 106 10810-3
free
oscillation
VSP
naturalearthquake
explorationgeophysics well
logging
UltraSonic
Frequency (cycles/sec)
It Isnt all THAT Mysterious!
Interpretation Examples
Brasil, Campos Basin
Eastern Mediterranean Nicaragua
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Norway Ormen Lange
Tunisia
Gulf of Mexico
Uncertainty / Errors Picking an event (in time) involves an
error
So calculated velocities are uncertain
And predictions based on those
numbers must compound the errors
What is the size of the errors?
Wavelength & Velocity
InitialFinal
100
200
300
=216ft=65.4metres
x f = V
If f = 34 Hz
V = 2223.6 m/sec
How much geology is hiddenin this single waveform??
Time between peaks is 1/34 sec =0.0294 sec = 29.4 msec
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Wavelength & Velocity
InitialFinal
100
200
300
=216ft=65.4metres
x f = V
If f = 34 HzV = 2223.6 m/sec
Time between peaks is 1/34 sec =0.0294 sec = 29.4 msec
Location (time)uncertainty
How much geology is hiddenin this single waveform??
Error is about one part in 6.5parts, or about 16%. So, we willbe VERY conservative if we saythe error is +/- 5%.
Propagating Errors
So, 10% error (+/- 5%) in time of peaktranslates to 10% error in calculated
velocity.
If we use that velocity to predict the
depth of another observed peak, we
compound the errors.
Rules for Seismic
ALWAYS work to the nearest
millisecond (msec)
THINK about the potential for expensive
errors if you are sloppy!