Fibre optic interventions enable intelligent decision ... · – Flow regime is the cased hole...
Transcript of Fibre optic interventions enable intelligent decision ... · – Flow regime is the cased hole...
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Fibre optic interventions enable intelligent
decision making in any well
Frode Hveding
VP Reservoir
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Agenda
• Introduction to fiber optic measurements
• Applications for fiber optic technology
• Analysis of the data – how?
• Flow visualization
• Real time decisions
• What’s coming – future of fiber optics
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T1000 T1001
T1003 T1004
Introduction to fiber optic measurements
The fibre is the sensor
• A pulse of light is sent down
the fiber
• Backscattered light is
measured at the detector
(reflection)
• The two-way travel-time of the
light gives the depth of the
measurement
Only one pulse in the fiber at the time
DTS: Distributed Temperature Sensing
DAS: Distributed Acoustic Sensing
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Survey the entire wellbore in real time
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Applications for fiber optic technology
Leak Detection
Restrictions in wellbore
Overburden integrity
Flow behind casing
Gas Lift Optimization
Fracturing / Stimulation
Flow pattern diagnostic
Microseismic
Real time flow and production understanding
VSP
Flow allocation
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Flow allocation analysis of Distributed Temperature
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Flow allocation analysis of Distributed Temperature
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Analysis of Distributed Temperature
• Advantage:
– Software exist on the market to analysis DTS
– Comparable to traditional PLT in favourable conditions
• Challenges:
– Accurate geothermal measurement
– Challenging if horizontal wellbore with same geothermal gradient
– Requires stable conditions
• Stable shut-in before
• Stable production / injection
• Stable shut-in after
• Do we ever have a stable situation?
• Is analysing a PLT log challenging some times? Why?
• How will you quantify production if slugging conditions?
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Differences in DTS & DAS
• DAS
– Real time effects – what is happening now
– «Shallow» depth of investigation (could be kilometers if
earthquakes...)
• DTS
– Affected by wellbore history for injectors
– Looks deeper into the formation
• Will it be able to replace PLT?? Do more than PLT??
– DTS will show the overall trend and provide quantitative answers
– DAS will need more work and focus in the industry in order to obtain
quantitative measurements – can it be done?
• Production / injection rates
• Multiphase flow
• Flow pattern
• +++
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DTS & DAS as PLT replacement??
PLT Quantity Gas Low GOR Oil High GOR Oil
Spinner ν
Gradio ρ
Dielectric Vw, Vs
CCL Depth vs
completion
GR Depth vs
formation
Pressure P
Temperature T
Caliper I.D.
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DTS & DAS as PLT replacement??
PLT Quantity Gas Low GOR Oil High GOR Oil
Spinner ν ∆CSoS ∆CSoS
(Challenging)
∆CSoS
P<Pbubble
Gradio ρ PVT CSoS density CSoS density
Dielectric Vw, Vs - - -
CCL Depth vs
completion
Fiber optic
CCL
Fiber optic
CCL
Fiber optic
CCL
GR Depth vs
formation
- - -
Pressure P Gauge or DPS Gauge or DPS Gauge or DPS
Temperature T DTS DTS DTS
Caliper I.D. Ultrasonic? Ultrasonic? Ultrasonic?
CSoS = Speed of Sound from DAS Array Processing
Distributed measurements
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Flow regime detection
• Why?
– Multiphase production log interpretation requires a known flow regime.
– Flow regime is the cased hole analog of lithology
– Help in interpreting the signals, evaluate the flow rates per phase
basis and reduce post processing load
• SPE paper 59067 – Neural Net identification of flow regime
with band spectra of flow-generated sound
– Concludes that the neural net can classify flow regimes correctly in
85-90% of all cases using hydrophones from noise logging tools
– Limitations?
• Point measurement
• Can this be transferred over the distributed way of thinking?
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From signal to noise to multiple frequency bands
• Each band represents one frequency range
• Covers frequencies from 1 Hz to 10 kHz (or higher)
• Each band from same time interval
• Acoustic information from different frequencies
Band 0-36 Band 7
Band 0
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Improve understanding of flow patterns
- Better understanding of dynamics in the well
- Production data improvements
- Improves expensive simulation models
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Tune into your favorite song.....
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Stability during production – slugging
Cyclic production
DAS – Signal to Noise ratio
Unstable production interval
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Flow pattern – slugging conditions
Gas bubbling through liquid
TIME
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Production – quantification?
Before After
Effect in the 4 Hz band before
and after water breakthrough
Higher energy in the low Hertz
domain showing water breakthrough
from nearby injector
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How to standardize DTS & DAS formats?
• Several DAS & DTS box providers with different format on
the data
• DTS is small datasets (100’s MB)
• DAS is «Big Data» (>1 TB’s)
• Challenge: The industry needs to agree on a common
format for DAS data handling
• Suggest HDF5 as the standard format for handling DAS
– Open Source format (hdfview.org)
– Easy to work with
– Easy to write processing software around it
– Can easily export/import data
– Ready to use immediately
– Used by NASA for handling large quantity of data
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What is coming next
• Quantitative DAS measurement
– Real time flow allocation
– Real time flow regime detection along entire wellbore
simultaneously
– Real time leak detection (Tubing, A, B, C annulus) with phase and
quantity
• Combined software
– Manage large amount of data
• Are we going to store everything or just a fraction?
– Fast processing methods
– Integrated solutions with universal database structure for easy
handling
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Thank You!