Reservoirs of Taranaki Basin, New Zealand: from Source to Sink
Reservoirs of Taranaki Basin, New Zealand: from source to sink
K. Higgs GWL / PESGB Cluster Meeting, May 2018 Acknowledgements
This project was undertaken by GNS, funded by the Petroleum Basin Research (PBR) programme via the Strategic Science Investment Fund from the New Zealand Government (MBIE).
• NZP&M sample / data / petroleum report repository • Student theses (Hopcroft, 2009; Shumaker, 2016) • GNS PETLAB database
Thanks also to the numerous contributors to this work, including:
Co-author
Peter King Chris Nick Andy Greg Dominic Adams Mortimer Tulloch Browne Strogen GNS Science Talk Outline
• Who are GNS Science?
• Introducing Zealandia and Taranaki
• Composition: sandstone vs basement
• Provenance and basin evolution
• Diagenetic alteration and implications for reservoir quality
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GNS Science Formation of Zealandia, Early-Late Cretaceous
Early Cretaceous c. 150 million years ago Late Cretaceous c. 75 million years ago
End Cretaceous c. 65 million years ago
Rift basins in central west, possibly part of a transform system linked to sea- floor spreading McSaveney and Sutherland, 2005 GNS Science Zealandia 1st-order Late Oligocene megasequence c. 25 Ma W E Southwards propagation 0 of Pacific subduction zone; pervasive subsidence & Regressive maximum marine inundation
20 Distal hiatus Maximum base level rise Composite unconformity Middle Eocene Development of c. 40 Ma 40 precursor Erosion boundary between Australian & Age(Ma) Transgressive Pacific plates 60
Latest Paleocene Post-rift passive c. 55 Ma 80 Regional onlap of basement begins margin, NZ drifting from Antarctica
Syn-rift 100 Basement
Chronostratigraphy after King et al., 1999; tectonic reconstructions aftter King, 2000 GNS Science Zealandia 1st-order megasequence Pliocene W E 0 c. 5 Ma
Regressive
20 Distal hiatus Maximum base level rise Composite unconformity
40 Late Miocene Widespread c. 10 Ma Erosion compression. Clockwise rotation
Age(Ma) Transgressive of subduction margin & oblique 60 convergence along Alpine Fault
Early Miocene 80 Regional onlap c. 20 Ma Start of long-lived of basin begins regression. Alpine Fault propagated between Syn-rift subduction zone and southern rift; compression 100 and development of fold- Basement thrust belt in Taranaki
Chronostratigraphy after King et al., 1999; tectonic reconstructions aftter King, 2000 GNS Science Present-Day Configuration
NZ has a vast offshore 2 Challenger territory, ~5,800,000 km Plateau Hikurangi Plateau Sedimentary basins cover a Chatham Rise Australian large part of the EEZ and Plate ECS (~1,700,000 km2)
Campbell All are frontier basins with Plateau the exception of Taranaki Pacific Plate
Taranaki is currently the only producing sedimentary basin Subduction along Hikurangi margin and in New Zealand transpression on Alpine and splay faults
GNS Science New Zealand Basement
Western Province – basement and cover rocks from Gondwana craton (Cambro-Ordovician)
Plutonic rocks - mostly comprising Median and Karamea batholiths (dominant Cretaceous- Jurassic & Devonian)
Eastern Province – elements of the arc-trench-subduction system active along E Gondwana margin (Triassic-Late Cretaceous)
General New Zealand basement map (from Turnbull & Allibone, 2003; Mortimer, 2004) and inset Taranaki summary basement map (modified from Mortimer et al., 1997 and Tulloch et al., in prep.)
GNS Science W-E Schematic Cross Section
Mt Taranaki Taupo Volcanic Zone
Volcanics A llo Basin-fill sediments ch th on W s Sea level E
Unconformity t n e
m Hikurangi e Australian Trough s Moho
a Plate B Western Eastern Pacific Plate
Figure after Mortimer, 2014 GNS Science Northwest Southeast
Regressive Phase Active margin Overthrusting on Transitional Taranaki Fault
Transgressive Phase rift to passive margin -
“Early syn-rift”
Syn Breakaway from Gondwana
Figure after Bland et al., 2014 GNS Science Reservoir Facies Transgressive: Reservoirs are mostly fluvial, marginal or shallow marine
Regressive: Turbidite reservoirs
Photos from GNS researchers GNS Science Stratigraphic differences in mean grain size
Regressive System Deposits (n = 272)
Miocene (Active Margin)
Transgressive System Deposits Oligocene (Transitional) (n = 805)
Paleogene (Passive Margin)
Cretaceous (Syn-rift)
Grain Size vf = very fine f = fine m = medium c = coarse vc = very coarse l = lower u = upper
Thin section data from: PEGI (Higgs et al., 2012) GNS Science Coarse & granular Rakopi Fm V fine grained Mt Messenger Fm Alluvial/fluvial facies Deep Water facies Transgressive System Deposits Regressive System Deposits
Photos from GNS researchers GNS Science Stratigraphic differences in detrital mineralogy
Thin section data from: PEGI (Higgs et al., 2012), 2012-15 open-file PR reports (GNS), Kauri Sand Study (GNS with Kaimiro/Mangahewa n = 255 permission from Swift Energy)
Tariki/Matapo n = 60
McKee/Tangaroa Moki; n = 36 n = 31 Mt Messenger Mean data Farewell n = 33 n = 36 Urenui One std dev around the mean Rakopi/N Cape n = 15 n = 62 Oligocene sst outcrop n = 10
Kauri n = 16
Sandstone classification scheme from Folk et al.,1970 GNS Science Correlation between mineralogy and basin history
Syn-rift to passive margin deposits (transgressive system) Late transitional deposits (Late Oligocene/Early Miocene)
Active margin deposits (regressive system)
Mean data
One std dev around the mean
GNS Science Correlation of mineralogy to basement source
Q TS data from: Brook St/ 0 Tuhua Intrusives 100 GNS PETLAB Drumduan Buller Other W Province n = 30 Basement (published data & theses E Prov terranes Rocks as referenced in PETLAB) Torlesse n = 301 Dun Mtn/ Maitai Karamea n = 22 Waipapa Darran n = 103 Buller
Karamea Inner n = 10 Caples Median n = 43 Batholith Brook St Volc. n = 14
Batholith 100 0 F 0 L Reservoir Murihiku Dun Mtn/Maitai n = 169 n = 183 Rocks
Map modified from Mortimer et al., 1997 and Mortimer et al., in prep.)
Basement map after Tulloch et al., in prep. GNS Science Mineralogy trends in syn-rift to passive margin deposits (transgressive system)
Q Plag 0 Q = total quartz Plag = plagioclase 0 100 100 F = total feldspar KF = K-feldspar Kaimiro/ L = lithic fragments M = detrital mica Mangahewa Eocene younging Paleocene Cretaceous
Farewell Farewell
Rakopi/ N Cape
Rakopi/N Cape Kaimiro/ Mangahewa
100 100 0 0 F 100 0 L+M KF 100 0 M
Cretaceous – most primitive, mica and lithic-rich Paleocene (Farewell) – intermediate composition, plag-rich Eocene – most mature, quartz and K-feldspar rich
GNS Science U-Pb zircon geochronology results Syn-rift (Cretaceous): Early Transition: Active Margin: zircon mostly derived from zircon mostly derived from zircons support multiple local basement rocks granites but some EP sources, significant E source in the NE Province component
Cretaceous
Late Eocene Miocene
Mid-Oligocene
Zircon ages from Adams et al., 2016 Zircon ages from Kamp, 2012 Zircon ages from and Tulloch & Turnbull, 2014 and Hopcroft 2009 Shumaker, 2016
Separation Pt Suite Buller/Takaka Undiff metasedimentary terranes Plutonic Darran Suite Source Western Province Eastern Province Karamea Suite GNS Science Syn-rift: Local basement provenance dominated by first cycle source from Tuhua Intrusives
T Tuhua Intrusives Cretaceous 65-75 Ma: active rift transform Other W Province WP zone with development EP E Prov terranes of small rift grabens
Coastal plain facies Shoreline/shoreface EP: Inferred Offshore marine facies Median Batholith subdued Submarine fan facies topography
K Karamea source M Median batholith source Eastern Prov source Exposed & eroding Western Prov source Paleozoic Eroded sedi source terranes & plutons Volcaniclastic source
Figure from Higgs and King, 2018; paleogeography after Strogen, 2011; basement after Mortimer et al. (1997) GNS Science Post-rift, passive margin: 1st & 2nd cycle from intrusives in the south, longer transport distances, some re-working
Paleocene (60 Ma): waning Eocene (40 Ma): incipient rifting; residual rift subduction to the far north; transform in the south uplift and tilting in southern margin of basin
Erosion of EP: Inferred sediment subdued topography
Figures from Higgs and King, 2018; paleogeography after Strogen, 2011; basement after Mortimer et al. (1997) GNS Science Early transition (35-27 Ma): Erosion of cover rocks with progressive unroofing from N to S Latest Eocene (35 Mid Oligocene (28 Ma): plate Ma): local uplift in the boundary established & north associated with uplift propagated southward fledgling A-P plate boundary zone
Figures from Higgs and King, 2018; paleogeography after Strogen, 2011; basement after Mortimer et al. (1997) GNS Science Late transition (21 Ma): Fine-grained, lithic-rich sediments derived from Eastern Province terranes
Onset of regression; piggy-back basins and uplift in the east
Earliest Miocene Earliest Miocene: Active thrusting on eastern basin margin; provenance from the East
Q Q 0 0 100 100
100 100 0 0 100 0 0 F L F L Latest Oligocene- Eastern Province Earliest Miocene basement
Figures from Higgs and King, 2018; paleogeography after Strogen, 2011; basement after Tulloch et al., in prep. GNS Science GNS Science Active margin (Miocene): Mixed sediment sources with significant Eastern Province component
Mid-Miocene Mid-Miocene: Late Miocene (Moki) Some granitic source in (Mt Messenger) southern basin
Late Miocene: Finer sediments may indicate component of reworked Miocene sediments
Figures from Higgs and King, 2018; paleogeography after Strogen, 2011; basement after Tulloch et al., in prep. GNS Science Photo from GNS researchers GNS Science PRIMARY CONTROLS - grain size Properties at deposition, provenance & - facies related sorting - mineralogy
Implications for Reservoir Quality
SECONDARY CONTROLS Diagenesis, dependent on - compaction depositional properties AND burial, - mineral cement temperature, fluid history - authigenic clay - secondary dissolution
GNS Science Compaction
Syn-rift to passive margin deposits (Transgressive System) Miocene Sandstones: Coarse grain size Quartz-feldspar mineralogy porosity loss by compaction up to c. Less prone to compaction- 20% - much 40% ductile grains induced porosity loss macroporosity reduced to microporosity
Active margin deposits (Regressive System) Cret-Eocene Fine grain size Sandstones: porosity Feldspar-lithic mineralogy loss by compaction c. No ductile grains
30 15-25% - deeper % 20 More prone to compaction- % 10 burial, more complex induced porosity loss % diagenesis
Graph does not include other pore- modifying factors (e.g., cementation / secondary porosity / overpressure)
Compaction curves after Worden et al., 1997 & 2000 GNS Science Empirical net result: reservoir quality is variably controlled by primary and secondary factors
Syn-rift - passive margin deposits Active margin deposits
Reference line 1. Primary Factors - grain size 1. Primary Factors - % matrix 2. Burial (compaction) - % lithics 3. Cementation 4. Dissolution 2. Burial (compaction) 3. Carbonate cement
Conventional core analysis data; plotted from: PEGI (Higgs et al., 2012)
Conventional core analysis data from well completion reports, NZP&M GNS Science Rift-Passive Margin Deposits: Complex Diagenesis
Variable clay and cement type / abundance TYPICAL AUTHIGENIC MINERALS due to different facies / burial / fluid histories - kaolinite / dickite, illite, chlorite, quartz, carbonate
K Pukeko-1 K
Cc SECONDARY Ch Cc POROSITY K Ch Q Q Q Q Cc 2º Ø
2º Ø GNS Science Rift-Passive Margin Deposits: Diagenetic Reactions
1. Aggressive Pore Fluids Mineral Products: Mineral Reactants: Hydrous clay minerals (e.g., Feldspar kaolinite, smectite) Biotite Quartz cement (minor) Chlorite Carbonate cement (localised) Carbonates Heavy minerals Secondary Pores
2. High temperature (>120 ºC) Mineral Reactants: Mineral Products: Hydrous clay minerals (e.g., kaolinite, smectite) Non-hydrous clay minerals (illite, dickite, chlorite) Significant Pressure Quartz cement Solution
Aggressive pore fluids = meteoric water / CO2 from maturation of coals / hydrothermal events, etc. GNS Science Rift-Passive Margin Deposits: Example of Feldspar Reaction (aggressive fluids)
+ + + Feldspar + CO2 + water = kaolinite + silica + K /Na /Ca + bicarbonate kaolinite c. 15% Good: local generation of large secondary pores
Bad: locally pervasive kaolinite or carbonate
GNS Science Rift-Passive Margin Deposits: The good & bad effects of feldspar reaction + + + Feldspar + CO2 + water = kaolinite + silica + K /Na /Ca + bicarbonate
Kaolinite Visible Porosity (14.2%) Bad Example 1) Burial Depth 3,256 m Much feldspar altered to kaolin
Total Porosity 15.8% Visible Porosity 6.5% Permeability 32 mD
Kaolinite Visible Porosity (3.8%) Good Example 2) Burial Depth 3,503 m Significant feldspar dissolution pores
Total Porosity 18.5% Visible Porosity 16.1% Permeability 2270 mD
Figure after Higgs et al., 2017 2 mm GNS Science Rift-Passive Margin Deposits: Example of Illitisation Reaction (high Ts)
Illitised Kaolinite
K-feldspar + kaolinite = illite + silica + water
Bad: micro-porous illite and pore-filling quartz
Illitisation reaction based on K-Ar dates: ~130ºC, 4.5 km Quartz cementation based on FI data: >110ºC, >4 km 20 Age Ma Illitised Kaolinite 60 40
2
TVD km Example 4 Kaolin altered to illite 6 Total Porosity 6.6-14.2% Timing of illitisation ~ intraformational Permeability 0.1-3.3 mD coals mature for oil expulsion (green)
From Higgs et al., 2007 GNS Science Rift-Passive Margin Deposits: Significant illitisation predicted across most of the Taranaki Peninsula
1 mm
1 mm
Depth (m) at 2 Ma
25 km
Kaolinite Depth map, Middle Eocene at 2 Ma (~max. 1 mm Illite/muscovite burial); orange > 4.3 km
Figure after Higgs et al., 2017 GNS Science Provenance vs Reservoir Quality
Syn-rift - passive margin deposits Active margin deposits
Sediment source: Sediment source: Multiple with 1st cycle or recycled Tuhua Intrusives significant E Province & volcanics
Coarse grain size Fine grain size Quartz-feldspar mineralogy Feldspar-lithic mineralogy
Less prone to compaction- More prone to compaction- induced porosity reduction induced porosity reduction
However more deeply buried Relatively shallow burial
Greater compaction (porosity But significant sediment compaction due to reduction), and diagenetic alteration texture & composition; less advanced (porosity reduction & enhancement) diagenetic alteration
GNS Science Key message: understanding provenance is a prerequisite to predicting reservoir quality
• Based on our integrated studies we can predict sandstone texture & composition across the basin
• We can use this information to Reservoir heterogeneity predict the type and level of Burial/temperature history diagenesis Fluid history
• Make an informed prediction of reservoir quality in an undrilled site
GNS Science Looking offshore beyond Taranaki
…..a lot of ground to cover
Photo from GNS researchers GNS Science Thank You
Karen Higgs Email: [email protected]
GNS Science