basin modelling as a predictive tool for potential zones ... · peshkov g.1, ibragimov i.1,...

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Peshkov G. 1 , Ibragimov I. 1 , Yarushina V. 2 , Wangen M. 2 , Myasnikov A. 3 Basin modelling as a predictive tool for potential zones of chimney presence 1 Skolkovo Institute of Science & Technology (Skoltech), Moscow, Russia 2 Institute for Energy Technology (IFE), Kjeller, Norway 3 Moscow State University (MSU), Moscow, Russia EGU General Assembly 2020 Online 4-8, May

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Page 1: Basin modelling as a predictive tool for potential zones ... · Peshkov G.1, Ibragimov I.1, Yarushina V.2, Wangen M.2, Myasnikov A.3 Basin modelling as a predictive tool for potential

Peshkov G.1, Ibragimov I.1, Yarushina V.2, Wangen M. 2,

Myasnikov A.3

Basin modelling as a predictive tool for

potential zones of chimney presence

1 Skolkovo Institute of Science & Technology (Skoltech), Moscow, Russia

2 Institute for Energy Technology (IFE), Kjeller, Norway

3 Moscow State University (MSU), Moscow, Russia

EGU General Assembly 2020 Online 4-8,

May

Page 2: Basin modelling as a predictive tool for potential zones ... · Peshkov G.1, Ibragimov I.1, Yarushina V.2, Wangen M.2, Myasnikov A.3 Basin modelling as a predictive tool for potential

• Focused fluid-flow is associated with excess pore-fluid pressure which

can be attributed to varying processes:

• rapid sediment loading,

• uplift and erosion

• dissociation of gas hydrate

• polygonal faulting

• leakage from source and reservoir

• While the origin of focused fluid flow is still under debate, its practical

significance is two-fold:

• It is an indicator of hydrocarbon presence,

• It is a potential location CO2 leakage pathway.

The aim of this work is to use basin modelling to identify precursors of

chimney formation in the geological history.

In this work:

• High-quality 3D seismic data are used to analyze the location of

hydrocarbon leakage in the Snøhvit Field, Southwestern Barents Sea

• Two different basin modelling approaches complement each other

EGU General Assembly 2020 Online 4-8 May 2

Focused Fluid Flow and Chimney Phenomena

(Panieri et al., 2017)

Page 3: Basin modelling as a predictive tool for potential zones ... · Peshkov G.1, Ibragimov I.1, Yarushina V.2, Wangen M.2, Myasnikov A.3 Basin modelling as a predictive tool for potential

Dataset

EGU General Assembly 2020 Online 4-8 May 3

Distribution of gas chimneys and

leakage in SW Barents Sea

location of modelled geological section

Snøhvit

Gas Field

Hammerfest

Basin

(Vadakkepuliyambatta et al, 2013)

location of gas chimney

Hammerfest Basin

discovered gas fields

(based on Ostanin et al., 2017)

Structural map of the SW Barents Sea

Stratigraphy

A

Б

A Б

(Ostanin et al., 2017)

Page 4: Basin modelling as a predictive tool for potential zones ... · Peshkov G.1, Ibragimov I.1, Yarushina V.2, Wangen M.2, Myasnikov A.3 Basin modelling as a predictive tool for potential

Chimney Location

EGU General Assembly 2020 Online 4-8 May 4

7120/5-1 7120/6-1 7121/4-1 7121/5-1

A B

In Geological Section

Chimney 1Chimney 2 Chimney 3

location of geological section

On Base Map

A

B7120/5-1

7120/6-1

7121/4-1 7121/5-1

In Probe of Seismic Cube

(Ostanin et al., 2017)

(Duran et al., 2013)01 1 km(Mohammedyasin et al., 2016)

Chimney 1

Chimney 2

Chimney 3

Migrating Fluid

Wellbore

Page 5: Basin modelling as a predictive tool for potential zones ... · Peshkov G.1, Ibragimov I.1, Yarushina V.2, Wangen M.2, Myasnikov A.3 Basin modelling as a predictive tool for potential

EGU General Assembly 2020 Online 4-8 May 5

Plot of Porosity distribution

• Gas chimneys tend to reservoir thickened flanks,

with the best petrophysical characteristics:• the highest porosity

• maximum vertical thickness

• This might indicate the role of gas/liquid dynamics

in chimney formation

Focus on Reservoir Zone with Chimney

Reservoir

without chimneys

Reservoir

with chimneys

Porosity, %

Chimney 1 Chimney 2 Chimney 3

Reservoir

flanks

Basin Model I: Porosity modelling with Tecmod2D cont.

Page 6: Basin modelling as a predictive tool for potential zones ... · Peshkov G.1, Ibragimov I.1, Yarushina V.2, Wangen M.2, Myasnikov A.3 Basin modelling as a predictive tool for potential

EGU General Assembly 2020 Online 4-8 May 6

Basin Model I: Temperature modelling with Tecmod2D cont.

• In reservoir area with chimneys we observe the local maximum of heat flow density in temporary and today, and

hence temperature values, that contributes the source rock formations to produce more hydrocarbons and increase

the overpressure within the overlaying reservoir in the most buried part od the basin

• Area without chimney locates in less conducive thermic conditions for their formation

mW/m2

Horizontal section at -3.2 km

Heat Flow at 0 Ma

Heat Flow through the Basement/Basin boundary

mW/m2

Basement

Basin

(tim

e s

ca

le)

T, oCTemperature at 0 Ma

Basement

Basin

Reservoir

with chimneys

Zone of temperature

maximum

Zone of temperature

minimum

Reservoir

without chimneys

Reservoir

with chimneysReservoir

without chimneys

Page 7: Basin modelling as a predictive tool for potential zones ... · Peshkov G.1, Ibragimov I.1, Yarushina V.2, Wangen M.2, Myasnikov A.3 Basin modelling as a predictive tool for potential

Present day temperature and porosity

• The basin appears to be at maximal burial towards

Mid Oligocene before the basin was uplifted and

eroded. Thermal maximum coincides with maximum

burial.

• Therefore, rates of hydrocarbon generation reach

maximum during Oligocene.

• Quartz cementation of the sandstone units also

reaches maximum rates during Oligocene.

Burial histories at x=50km and x=100km

Basin Model II: Temperature modelling with Bas14

• The hiatus during Tertiary is uncertain. Different representations of the hiatus can produce quite different thermal

maximum during Mid Oligocene.

EGU General Assembly 2020 Online 4-8 May 7

Page 8: Basin modelling as a predictive tool for potential zones ... · Peshkov G.1, Ibragimov I.1, Yarushina V.2, Wangen M.2, Myasnikov A.3 Basin modelling as a predictive tool for potential

Overpressure at 56 Ma

• Compaction is modelled by assuming

porosity as a function of depth

• Only a small fraction of the porosity that is

lost during compaction is recovered during

unloading by erosion

• Maximum overpressure build-up takes place

when burial rates are at maximum

• Maximum burial rates are during Triassic,

Early Jurassic and during Paleocene.

• Burial rates during the Tertiary hiatus are

uncertain

• The timing of maximum overpressure build-

up is therefore uncertain during the Tertiary.

• Erosion and unloading during Eocene and

Miocene may have removed high

overpressure from before the erosion

process

• Conditions for chimney formation appear to

be prior to the last erosion process.

• We have not studied pressure build-up by

glacial loading which could also be a cause

for chimney formation.

Basin Model II: Overpressure modelling with Bas14

EGU General Assembly 2020 Online 4-8 May 8

Overpressure histories at x=50km and x=100km

Page 9: Basin modelling as a predictive tool for potential zones ... · Peshkov G.1, Ibragimov I.1, Yarushina V.2, Wangen M.2, Myasnikov A.3 Basin modelling as a predictive tool for potential

• Detailed seismic analysis facilitated the location of chimneys on our basin model

• Petrophysical and geological characteristics of the reservoirare described in the location of chimneys

• Two examples of the neighbor reservoir are shown and characterized by the presence or absence of chimneys, that justified by the different thermobaric history of the underlying source rock formations

• This explanation are proved by two different approaches of basin modelling

• An additional study is needed of the effects of glaciation periods on the formation of over-solders and winter trees

EGU General Assembly 2020 Online 4-8 May 9

Conclusion