GeoStreamer Tour of the UKCS with Reservoir
Characterisation and QI Case Studies – Get ready
for the 30th round
Cyrille Reiser, Reservoir Characterisation Director
and contribution of many other team members
+44 791 74 25 608
This document is the property of PGS Reservoir Ltd and
shall not be disclosed to third parties or reproduced in
any manner for any purpose whatsoever except with
the written consent of PGS Reservoir Ltd.
Outline
Introduction
Broadband definition and its advantages
Integrated geological and Rock Physics workflow
UKCS Case Studies – two amongst many
Near-field exploration – MC3D BYL (Beryl)
Deep Reservoir Imaging – PGS15001 – Jackdaw
Summary
How Pre-Stack and GeoStreamer® data + Res Char workflow help your needs?
Outline
Introduction
Broadband definition and its advantages
Integrated geological and Rock Physics workflow
UKCS Case Studies – two amongst many
Near-field exploration – MC3D BYL (Beryl)
Deep Reservoir Imaging – PGS15001 – Jackdaw
Summary
How Pre-Stack and GeoStreamer® data + Res Char workflow help your needs?
The “Filling the Gap” Evolution – A reminder
Well
~ 1Oct.
Seis
mic
Velo
cit
y
Seismic velocity can be used to “fill” the gap
Well & a-priori information can be <1 Octave
Critically dependent on pre-stack seismic quality
S/N, AVO fidelity, bandwidth across all offsets, ..
More predictable away from the control points (wells)
= Reduce Risk – Improved the P.O.S
More DATA DRIVEN than model driven => Essential to
have a reliable pre-stack seismic data in Exploration
10 Hz 100 Hz
Broadband
~1 Octave of “a-priori”
information
0
-10
-20
-30
-40
Relative Ip
2Hz LFM 3Hz and above
relative
Inversion
5 km Well only kriged LFM
1sec
10Hz LFM 10Hz LFM
Relative Ip
1sec
Acquired Broadband Dual-sensor Technology & Benefits
Dual-sensor streamer acquisition
Method :
• Combine pressure and velocity sensors
in a solid streamer
• Use complementary ghost patterns of
the two sensors to remove receiver ghost
• Tow dual-sensor streamer deep for low
frequency content
Results:
• Increased bandwidth for both low and high frequencies
• Better low frequency penetration of the source signal
• Less sensitive to weather conditions
Geoscience integration through the Quantitative Interpretation workflow
Structural framework
Seismic facies Analysis
Elastic attributes
Depth conversion
Lithology-Fluid prediction
Prospectivity Analysis from
frontier to proven/mature basin
Reduced risk
Quantitative
Interpretation
Geological prior
&
Seismic Interpretation
Rock
Physics
Model
Seismic
(pre-stack) Well log QC
Petrophysics
AVO/AVA compliant
Amp-Phase &
Low frequency QC
bandwidth
Data conditioning at reservoir level
Pre-stack well to seismic tie
Pre-Stack Seismic inversion
Lithology Fluid Prediction
Reservoir
Interpretation
Reservoir
understanding
Outline
Introduction
Broadband definition and its advantages
Integrated geological and Rock Physics workflow
UKCS Case Studies – two amongst many
Near-field exploration – MC3D BYL (Beryl)
Deep Reservoir Imaging – PGS15001 – Jackdaw
Summary
How Pre-Stack and GeoStreamer® data + Res Char workflow help your needs?
It is not only and solely exploration it is also near field exploration and
production asset
sill
riser
9/23b-12A 9/23b-17
Tullich area
Relative Vp/Vs
Not drilled injectites:
- additional opportunity?
- near field exploration potential
Directly from the data – no interpretation requirement
Tertiary Rock Physics Trends – show the challenge of reservoir and fluid identification without reliable elastic attributes
Vp
/Vs
Ip (m.g/(s.cm3))
Frequency
Ip (m.g/(s.cm3))
TV
DB
ML (
m)
9/18a-21
9/18b-13
9/18b-31y
9/18b-32
9/18b-07
9/18b-08
9/19-08
9/19-09
3/23a-28
3/23a-29a
22/23a-31
9/23b-11
9/23b-12a
9/23b-08
Target
Reservoir
depths
1. Rock properties in Tertiary interval:
At typical Paleocene target depths
sands and shales have similar impedance values
– so are difficult to discriminate on basis of Impedance
alone
de
pth
Acoustic
Impedance
Shale
Brine sands
OIL sands
Shale
Brine
sands
OIL
sands
GAS
sands
2. But elastic attributes (in this case Vp/Vs) enable clear
separation of HC sands from shales and brine
Fre
quency
Shale
Brine
sands
OIL
sands GAS
sands
Shale
Shale + Sand (95%) Gas
Shale + Sand (95%) Oil
Shale + Sand (95%) Brine
Acoustic Impedance
Depth: 1600.0m TVDBML
Shale
GAS sands
3D view - Corona Maclure Harding and new features
Relative P-impedance on Regional Top Balder - GR
Harding
data gap
Corona
discovery
• Discoveries and fields have strong low P-impedance response.
• Amplitude extraction performed over 150ms-long window
above the Regional Top Balder horizon.
0
-
Maclure
3D view - Corona Maclure Harding and new features
Relative Vp/Vs on Regional Top Balder - GR
Maclure Harding
Corona
discovery
• Discoveries and fields have strong low Vp/Vs response
correlated with low P-impedance values.
• Amplitude extraction performed over 150ms-long window
above the Regional Top Balder horizon.
Additional low Vp/Vs anomalies stand out to the east of the injectites
production area.
Not seen on P-impedance = Different type of reservoir compared
to Maclure/Harding
0
-
data gap
It is not only and solely exploration it is also near field exploration and
production asset
sill
riser
9/23b-12A 9/23b-17
Tullich area
Harding
Corona
discovery
Discoveries and fields have strong low Vp/Vs response correlated
with low P-impedance values.
Amplitude extraction performed over 150ms-long window above the
Regional Top Balder horizon.
Body detection was performed on Relative Vp/Vs
Injectites shapes are clearly observed in 3D.
0
-
data gap
Additional low Vp/Vs anomalies stand out to the east of the injectites
production area.
Not seen on P-impedance = Different type of reservoir compared
to Maclure/Harding Maclure
✪ ★
✪
✪
✪
★
✪ ★
★ ★
★
★ ★
GeoStreamer MC3D analysis providing a portfolio of opportunities
to detect, characterize and de-risk assets in ‘mature’ basins
By-passed reserves
Reservoir properties & litho-fluid prediction
Near field exploration – de-risking
Injectite Characterisation, prospectivity
Near field exploration: Otter
Field Re-vitalisation: Crawford:
Field re-juvenation: Cod
in-field prospectivity: UK Q8 Tertiary:
Deep Reservoir Imaging: Jackdaw
Survey location
PGS15001
2,420km2
PGS15008-B
731km2
Cod (Paleocene discovery)
Jackdaw (Jurassic discovery)
Jackdaw published outline on BCU TWT structure (plus Coherence)
30/2-6
30/2-7
30/2-8
Jackdaw Near stack calibrated by Near stack synthetic
SW NE 30/2-6 30/2-7
BCU
HC sand
Vp
/Vs
Sw
Brine
sand
Shale
Ip
Jackdaw - Relative Ip & Vp/Vs with logs showing sandstone (GR) and HC (ILD) int.
* 3 angle stacks, 2-term Shuey,, structural median filter
SW
BCU
Jurassic
reservoir
sands : High
Ip
(compared
to shales)
Softened
slightly in
presence of
HC
NE 30/2-6 30/2-7 GR log (sand = yellow)
Sw log
(HC = red)
+
_
Chalk inter-bed multiple particularly evident on derived elastic attributes
SW 30/2-6 30/2-7 NE
BCU
H
L
Jackdaw Top Upper Jurassic +12-40msecs :
AVO anomalies correspond to published field outline
30/2-7
30/2-6
Ip-rel (Spike, sof):
Abs MAX +12-40msec
Ip softening in
response to HC
Low Vp/Vs anomaly in LK directly
overlying field extent
+
_
Vp/Vs-rel (Spike, sof): Abs MIN
Vp/Vs lowered in
response to HC
H
L
PGS15008B+15001 - Shallower evidence of the high quality pre-stack broadband
Forties interval Vp/Vs anomalies correlate to fields and discoveries
Marconi/Vorlich
Courageous
Hurricane
W of Puffin
Stella
Peach
Joanne
Blane
Cod
Oslevar
Ipswich
Courageous
Strat trap extent
Structural closure
Downflank
Cod
Box = Stratigraphic trap
Forties often difficult to distinguish/separate from overlying Sele Fmn in Ip,
clearer lithology discrimination in Vp/Vs
Outlines of Paleocene fields only
Quantitative Interpretation workflow in the context of broadband
Qualitative
&
Quantitative
Interpretation
Geological prior
&
Seismic Interpretation
Rock
Physics
Model
Seismic
(pre-stack)
RELIABLE & PREDICTABLE
Elastic attributes
Depth conversion
Lithology-Fluid prediction
Prospectivity Analysis
Reservoir Interpretation
Reservoir understanding
Well log QC
Petrophysics
AVO/AVA compliant
Amp-Phase &
Low frequency QC
bandwidth
Data conditioning at reservoir level
Pre-stack well to seismic tie
Pre-Stack Seismic inversion
Lithology Fluid Prediction
Easier and interpretation of the real
geological events.
Less needs
Less constrains
“just” a
calibration
Even more a mandatory
requirements to have the
data: AVO compliant, phase
stable, low & high
frequency,..
Using reliable, AVO compliant pre-stack GeoStreamer data:
– Reduce well dependence & bias thanks to the reliable low
frequencies
Accurate seismic only inversions and precise elastic attributes
estimation.
Integration of well information will still be needed for the
calibration of the elastic properties.
How can this data & workflow can help exploration?
Crucial information in an exploration & near field exploration mode and would
allow exploration & production teams to better:
Field extensions from in-field/near-field imaging
Detect - identify additional opportunities
Describe - Characterize lithology and fluids
De-risk - increase Probability-of-Success
& Improve the reservoir understanding and distribution
Improved interpretation & Elastic – Reservoir properties predictability of
seismic data in the pre-stack/partial-stack domain
Further de-risk of hydrocarbon leads & prospects
More informed decisions on new license application & well placement
Well
~ 1Oct.
Seis
mic
Velo
cit
y
10 Hz 100 Hz
Pre-stack
Broadband
~1 Octave of “a-priori”
information
0
-10
-20
-30
-40
Extensive North Sea coverage
Our data brings new insights, new ideas and new life to
the region
With GeoStreamer we always see something new in all
of our datasets.
Please just come and ask for more details at the PGS
booth, #E18
Prepare for the UK 30th Round.
Barents Sea
Halten Terrace
MC3D-BLY2013
Gas leg ?
oil leg ?
Acknowlegdements
Thanks to PGS for permission to publish this work and to the Reservoir team for
all the technical support and fruitful discussions.
Special thanks to: T. Bird, L. Feuilleaubois, M. Whaley, N. Pernin
