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a)0b)depth (m)100020003000400050000 2000 4000 6000 8000depth (m)1800 2000 2200 2400 2600c)derived porosity0.06 0.10 0.14 0.18o o o oo oooo o o ooo ooooooo oooooooooooo o o ooo oo oo oooooo ooo ooooooo o oo ooo oooooooooo ooo o oo oooo ooooooooooooooo oo oooo oooooooo oo oo oooooooooo ooooo oo oooooooo oooooooooo ooooo ooo ooooofitted trendfitted trend +/− residual standard errorfitted trend +/− two residual standard errors3800 4000 4200 4400 4600 4800in−situ vp (m/s)ooo o oooo oooooo ooo oo oo o o oo oooooooooo o o oooooo ooooooooooooo oooooooooooooooooooooo ooooo oooooooo oo oooooo o ooooooooooooooooooooo o ooooofitted trendoooooglobal trendoo oo o o oo o o ofitted trend +/− residual standard error oooo oofitted trend +/− two residual standard errorsooo3800 4000 4200 4400 4600 4800in−situ vp (m/s)in−situ vp(m/s)Figure 3.1: Illustration of derivation of rock physics relationships relating porosity to depth. Figure (a)shows the Lake Preston in situ V P versus depth log. Figure (b) shows the linear regressionfor the in situ V P versus depth using and Figure (c) shows the derived porosity versus the insitu V P . In Figures (b) and (c), black crosses show the mean and standard deviations for theinterval averages that were used in the regressions. To properly model the sand endmember,only data at depths indicated by the red markers in Figure (a) were used in the regressions.32 |
For the reservoir member a porosity versus depth curve is preferred to a bulk density versus depth trendcurve. Given a density log, porosity φ can be derived using (e.g. Sera, 1984)φ = ρ b − ρ gρ w − ρ g(3.1)where is ρ b is the bulk density, ρ g the grain density and ρ w the formation water density. Due to the lackof any shear wave data, a global average was used for the V P versus V S trend curve. For the permeablemember, we derived the following trend curves,φ = (0.74473 − 0.00015V P ) ± 0.01503V S = (−855.88 + 0.8042V P ) ± 121.92(3.2)V P = (3369.4 + 0.43671d) ± 53.802where φ is porosity, V P is P-wave velocity in m/s, V S is shear-wave velocity in m/s and d is depth in m.We note that sandstone velocity (V P ) is very fast. This is attributed to post-burial uplift and erosion, andis expected from inspection of the core. Figure 3.2 shows core from the Pinjarra 1 well with high levelsof cementation and compaction of the sandstone.Figure 3.2: Photograph of core from the Pinjarra 1 well. This particular core section is from a depth of2438 m. High degrees of compaction and cementation are evident and lead to higher thanexpected values of V P for sandstones for the SW Hub rock physics. A sample was takenfrom this core section for petrophysical analysis by another group. (Barclay et al., 2009)| 33
Page 1 and 2: www.csiro.auA deployment strategy f
Page 3: Response to referee’s commentsThi
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Page 18 and 19: and Hoversten, 2006, 2005; Wells et
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Page 28 and 29: 2.1 South West Hub CCS ProjectThe S
Page 30 and 31: 2.1.2 Data reviewPublically-availab
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• Clearly, the induction monitori
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Key points to consider for applicat
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4.2.2.1 Single-borehole electromagn
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4.2.2.2 Separated-borehole electrom
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The second and third examples of cr
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0 A 100 m 50010001500 2000 250010
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0Wonnerup, 1000 m target; Tx 1200m
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ceiver offset from the transmitter
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Figure 4.50: Dependence of mCSEM re
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The second variation of Figure 4.48
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0 A EE Component0B E Z Component0 C
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The third variation of Figure 4.48
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0 A EE Component0B E Z Component0 C
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4.2.4 Ground electromagneticsThe mC
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Table 4.7: LOTEM Gate parameters. T
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Response Background1.0101.0051.000
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Response Background1.101.051.000.9
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Primary Industries, 2011). However,
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Effect of drill hole offset0DDH10DD
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Microseismic monitoring ideally beg
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ferromagnetic magnet which has a te
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5 Monitoring & verification strateg
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5.1 General recommendations & strat
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Table 5.2: Suitability of geophysic
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confused with seepage. In this case
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6 ConclusionsThis report has discus
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7 Recommendations for future resear
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ReferencesAl-Ali, Z. A., M. H. Al-B
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Du, J., D. L. Tilbrook, J. C. Macfa
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JafarGandomi, A., and A. Curtis, 20
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Schilling, F., G. Borm, H. Würdema
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Yan, W., S. Huang, and E. H. Stenby
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ACO 2 PropertiesThis Appendix gives
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BSeismic preprocessing workflowThe
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CSeismic data processing for quanti
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Preprocessing prior to any stack wi
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Recent developments, such as target
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and should not be used for quantita
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DGeophysical software used in the p
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EProject detailsThis section lists
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