alexandros tasianas
TRANSCRIPT
Alexandros TasianasTechnical manager, Geolympus Ltd
Overview of geological model construction using Petrel
(ECO2 project: Snohvit site,)
Geological modelling capacities for CO2 storage: Snohvit site, Barents Sea, Norway.
CCS Workshop,
Edinburgh University,
16th September 2019
Outline Introduction-overview of study area
Determination and use of property values
Geological modeling complexity: e.g. Snohvit
Modeling faults
Modeling realistic or generic gas chimneys
Determination and use of property values
Worst case scenarios
Uncertainties and assumptions
Overview of the study area
Snøhvit gas field location in the Barents Sea
Results-faulted caprock models
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Permeability model for the faulted caprock scenario (Medium background permeability, 150m fault thickness at 300mD)
Results-faulted caprock models
Interruptedfaults
50m faultthickness
50mD in faultsfaults
LowBackgroundpermeability
Interrupted and thinner fault model
Results-faulted caprock models
Interruptedfaults
50m faultthickness
50mD in faultsfaults
LowBackgroundpermeability
High Backgroundpermeability
continuousfaults
150m faultthickness
300mD in faultsfaults
Continuous and thicker fault modelInterrupted and thinner fault model
Results-faulted caprock models
16.09.2019 Global and local grids and fault zone creation
Results-faulted caprock models
16.09.2019 Global and local grids and fault zone creation
Results-faulted caprock models
16.09.2019 Global and local grids and fault zone creation
Results-faulted caprock models
Combined model creation
Results-faulted caprock models
Combined model creation
Results-faulted caprock models
Modeled faults in a stairstepped form
(above left): Permeabilitymodel for the HIGH genericcase scenario includingimpermeable continuousand permeable faults (entireview, above right, andplanar view, on the bottomleft)
Permeability model including impermeable continuous and permeable faults
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entire view planar view
Results-faulted caprock models
Permeability model including impermeable continuous and permeable faults
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entire view planar view
Top view focusing on one of the reservoir zones
Results-faulted caprock models
Results-faulted caprock models
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CO2 plume distribution after 50 yearswithin the high background permeabilityfield (Fault thickness: 50m, faultpermeability 50mD, Scenario F8).
Results-faulted caprock models
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CO2 plume distribution after 50 yearswithin the high background permeabilityfield (Fault thickness: 50m, faultpermeability 50mD, Scenario F8).
CO2 plume distribution after 50 years within the lowbackground permeability field (Fault thickness: 50m, faultpermeability 50mD, Scenario F14).
Results-realistic chimney models
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Permeability model for the realistic gas chimney scenario C17 (High background permeability, 3000mD in the gas chimney and 500mD in zone 9)
Kv = 342 mD
Modeling of the northern gas chimney at Snøhvit
Results-realistic chimney models
Kv = 342 mD Kv = 342mD and 1000mD
Modeling of the northern gas chimney at Snøhvit (varyingvalue vertically within chimney)
Results-realistic chimney models
Kv = 765mD
Modeling of the northern gas chimney at Snøhvit
Kv = 765mD
Results-realistic chimney models
Kv = 765mD
Kv= 765 and 3350 mD
Modeling of the northern gas chimney at Snøhvit (varying value laterally within a zone)
Kv = 765mD
Results-realistic chimney models
Vertical K model (Gas chimney K values can be varied both laterally and vertically)
What property values do weactually assign ?
Should values vary within a chimney ?
Results-realistic chimney models
Results-realistic chimney models
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CO2 plume distribution after2000 years for a chimneypermeability of 342mD (mediumbackground permeability,permeability of zone 9: 500mD,Scenario C2).
Results-realistic chimney models
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CO2 plume distribution after2000 years for a chimneypermeability of 342mD (mediumbackground permeability,permeability of zone 9: 500mD,Scenario C2).
CO2 plume distribution after 2000 years fora chimney permeability of 3000mD(medium background permeability,permeability of zone 9: 500mD, ScenarioC3).
Results-generic chimney models
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Permeability model for the generic gas chimney scenario G3 (Medium background permeability, 2 generic gaschimney of 600m diameter and at 765mD and 5B: cross section through the 2 generic gas chimneys.
Results-generic chimney models
Results from generic chimney scenarios (6 by 6Km domain size and 50m by 50m grid resolution) (cylindrical well-like tube
gas chimneys) where generic gas chimney number, thickness,and permeability is varied.
Results-generic chimney models
Results from generic chimney scenarios (6 by 6Km domain size and 50m by 50m grid resolution) (cylindrical well-like tube
gas chimneys) where generic gas chimney number, thickness,and permeability is varied.
Results-generic chimney models
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CO2 plume distribution after 50 years fora scenario with 1 generic gas chimney of awidth of 200m existing in a lowbackground permeability field (ScenarioG4).
Results-generic chimney models
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CO2 plume distribution after 50 years fora scenario with 1 generic gas chimney of awidth of 200m existing in a lowbackground permeability field (ScenarioG4).
Generic chimney scenarios: CO2 plume distributionafter 50 years for a scenario with 2 generic gaschimneys of a width of 600m existing in a highbackground permeability field (Scenario G9).
Determination/use of property valuesGeneric models, of a single property value per zone can be created. But how is the property
determined?
Background property definition from well log calculations
Worst case scenarios
How quickly does CO2 start to leak in the worst case scenario ? (in years after start
of injection)
How quickly does CO2 reach the seabed? (in years after start of injection)
How much CO2 can reach the seabed (if there is leakage at the seabed in the worst
case scenario)?
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Uncertainties and assumptions
Uncertainties related to the petrophysical property values attributed togeological features modeled e.g. Fault and gas chimney K and Phi, faultthickness.
Chimneys modeled as vertical conduits but shape can vary with depth
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Thank you
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