porosity determination with standard well-logging data ... · porosity calculations are compared...

10
Porosity determination with standard well-logging data: implications for the local fluid flow regime of Mauna Kea Lava Flows (HSDP-2) A. Buysch; R. Pechnig (Applied Geophysics, RWTH Aachen, Lochnerstraße 4-20, 52056 Aachen, Germany; email: [email protected]); U. Harms (GFZ Potsdam, Telegrafenberg, 14473 Potsdam, Germany; email: [email protected]). 1. Introduction One of the objectives of our studies in the ‘Hawaii Scientific Drilling Project HSDP-2’ is to understand the local fluid flow regime on the basis of logging data. Usually, petrophysical measurements for bulk porosity in combination with density measurements are referred to as an indicator for possible permeable zones, so-called fluid pathway zones. These data have not been measured in HSDP-2 due to environmental and permitting reasons. Hence, the acquired resistivity and velocity measurements were used to investigate fluid activities. On the basis of existing porosity estimates of crystalline as well as sedimentary rocks, we have developed a porosity profile derived from downhole resistivity measurements. This was applied to estimate the propagation of possible fluid pathway zones and to contribute to our interpretations of the genetic evolution of the whole volcano system on the basis of log interpretation. 2. Lithological classification on the basis of petrophysical characteristics The geophysical measurements (Fig. 1) indicate a subdivision of the logged profile into nine large scale sections, named Log Units (LU 1 – 9). For the petrophysical properties the log units show remarkable changes within and between each unit. This can be summarized as following: beside an expected resistivity increase with depth due to an increasing consolidation, the log data exhibit various unexpected petrophysical effects (Fig. 2), which can be related to deviating changes caused by primary and secondary evolution. Regarding its implications on overall porosity and influence on local fluid flow, resistivity measurements lead to a different consideration of formerly similar interpreted rock types. In the following, we present a more detailed description of the log units: Log Unit 1 contains subaerial lava flow successions (mainly Aa and Pahoehoe) with low resistivity values and large variations in gamma-ray values; the low resistivity values give hint to an overall high porosity for the entire section. The high standard deviation of the gamma-ray log values is caused by large variations in all three spectrally measured elements (K, U, Th), which is indicative for secondary weathering and alteration of the subaerial flows.

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Page 1: Porosity determination with standard well-logging data ... · porosity calculations are compared with core derived porosity (Dannowski and Huenges, 2000), and displayed as log plot

Porosity determination with standard well-logging data: implications for the local fluid

flow regime of Mauna Kea Lava Flows (HSDP-2)

A. Buysch; R. Pechnig (Applied Geophysics, RWTH Aachen, Lochnerstraße 4-20, 52056 Aachen, Germany; email: [email protected]); U. Harms (GFZ Potsdam, Telegrafenberg, 14473 Potsdam, Germany; email: [email protected]).

1. Introduction One of the objectives of our studies in the ‘Hawaii Scientific Drilling Project HSDP-2’ is to

understand the local fluid flow regime on the basis of logging data. Usually, petrophysical

measurements for bulk porosity in combination with density measurements are referred to as

an indicator for possible permeable zones, so-called fluid pathway zones. These data have not

been measured in HSDP-2 due to environmental and permitting reasons. Hence, the acquired

resistivity and velocity measurements were used to investigate fluid activities. On the basis of

existing porosity estimates of crystalline as well as sedimentary rocks, we have developed a

porosity profile derived from downhole resistivity measurements. This was applied to estimate

the propagation of possible fluid pathway zones and to contribute to our interpretations of the

genetic evolution of the whole volcano system on the basis of log interpretation.

2. Lithological classification on the basis of petrophysical characteristics The geophysical measurements (Fig. 1) indicate a subdivision of the logged profile into

nine large scale sections, named Log Units (LU 1 – 9). For the petrophysical properties the log

units show remarkable changes within and between each unit. This can be summarized as

following: beside an expected resistivity increase with depth due to an increasing

consolidation, the log data exhibit various unexpected petrophysical effects (Fig. 2), which

can be related to deviating changes caused by primary and secondary evolution. Regarding its

implications on overall porosity and influence on local fluid flow, resistivity measurements

lead to a different consideration of formerly similar interpreted rock types. In the following,

we present a more detailed description of the log units:

• Log Unit 1 contains subaerial lava flow successions (mainly Aa and Pahoehoe) with

low resistivity values and large variations in gamma-ray values; the low resistivity values

give hint to an overall high porosity for the entire section. The high standard deviation of

the gamma-ray log values is caused by large variations in all three spectrally measured

elements (K, U, Th), which is indicative for secondary weathering and alteration of the

subaerial flows.

Page 2: Porosity determination with standard well-logging data ... · porosity calculations are compared with core derived porosity (Dannowski and Huenges, 2000), and displayed as log plot

Fig. 1: The logging data allow for subdivision of the HSDP-2 profile into nine large-scaled log units (LU 1 – 9), differing in their petrophysical characteristics. The log unit boundaries partly correspond to changes in the core lithology. The use of different resistivity tools require a separation of the statistical calculation in LU 4 (thick grey line).

(a) Borehole data, measured by University of Hawaii (July 1999)(b) Borehole data, by GFZ-Potsdam (July & December 1999)measured

LU 5

LU 6

LU 7

LU 8

LU 9

LU 1

LU 2

LU 3

LU 4

Depth[ftbsl] Core

Lithology

Caliper[mm]

(a) Total Gamma Ray[API]

(b)

K [%]

(b)

Th[ppm]

(b)

U[ppm]

(b)

Resistivity[Ohmm]

(b)

shallow: greenmedium: reddeep: black

Cor

e R

ecov

. [%

]

Depth[mbsl]

0

1100 400 4 15 0 1.5

0.7

10,000

SUBAERIAL

SUBMARINE

Page 3: Porosity determination with standard well-logging data ... · porosity calculations are compared with core derived porosity (Dannowski and Huenges, 2000), and displayed as log plot

• Log Unit 2 separates the uppermost part of the submarine section. The lowest

resistivity values of the entire section were measured in this log unit. This points to a high

proportion of unconsolidated material, and thus influences the porosity estimation.

Moreover, the log responses indicate an overestimation of massive units in the core profile.

This is consistent with high core losses in this borehole section caused by the occurrence of

rubble material.

• Log Unit 3 exhibit homogeneous submarine units on the first view composed of

hyaloclastites with frequent intercalations of massive basalt units. The significant

increase in resistivity compared to LU 2 points to stronger consolidation of the drilled

volcanoclastics, which is consistent with observations on core material.

• Log Unit 4 is characterized by a second increase in resistivity compared to the overlying

submarine formations. The jump in resistivity at the LU 3 / LU 4 boundary marks a

significant change within the hyaloclastite series and indicates a rapid increase in

consolidation and cementation of the volcanoclastic material. An additional change of

gamma-ray activity to higher values and an increasing standard deviation might reveal

the influence of cementing fluids on formerly porous media.

• Log Units 5, 7 & 9 are Pillow units with low readings in spectral gamma-ray and

resistivity logs. Latter points to a higher porosity than in the surrounding hyaloclastic

units, reflecting in combination with a large scatter of the sonic velocity logs a strong

fracturing of the basalts. The lowest average values of resistivity and sonic velocity logs

are observed in LU 7, caused by fracturing but also by the high vesicularity of this log

unit.

• Log Units 6 & 8 represent homogenous and strongly consolidated hyaloclastic series

with log responses comparable to those of LU 4.

SGR (API)

Res

istiv

ityde

ep(O

hmm

)

5 10 15

1

10

100

1000

10000

LowAlteration

??

Increasingdepth

Fracturing

LU1LU2&3

LU2-8

LU4LU7

LU5LU9

LU6&8

effusive - subaerial

high GR = low alteration

low RES = fracturing

submarine - effusivemassive

Legend

low consolidation

increasing depth=

increasingconsolidation

volcanoclastic

submarine - effusivepillow

deviating petrophys. response

Fig. 2: Scatter plot of resistivity data (deep induction) and spectral gamma-ray activity (SGR); the plot results from the subdivision of the data according to the petrophysical response in the nine Log Units (LU 1-9). The increasing consolidation with depth is indicated by an arrow.

Page 4: Porosity determination with standard well-logging data ... · porosity calculations are compared with core derived porosity (Dannowski and Huenges, 2000), and displayed as log plot

3. Preliminary porosity calculation We applied the Archie equation (Archie, 1942) on the resistivity measurements with Archie

standard coefficients a = 1 and m = 2, to get a first impression of the amount of porosity in

the HSDP-2 drillhole. The use of these coefficients has turned out to be an adequate method

for preliminary estimations of porosity in basaltic rocks (e.g. Frese, 1999). The results of

porosity calculations are compared with core derived porosity (Dannowski and Huenges,

2000), and displayed as log plot data (Fig. 3) and box plot diagram data (Fig. 4).

Although the basic rock type is composed of basaltic lava flows in general, many diverting

effects in porosity can be expected due to the totally different morphological characteristics.

Figure 5 shows possible morphological differences as taken from core pictures; the idealized

Porosity [%] Log UnitDepth [mbsl]

LU1

LU2

LU3

LU6

LU5

LU4

LU7

LU8

LU9

600

800

1000

1200

1400

1600

1800

2000

2200

2400

2600

2800

0 10 20 30

Log

Core(GFZ-Potsdam)

SUBAERIAL

SUBMARINE

Sudden porosity decrease =

Change of hydrostratigraphicsystem

Fig. 3: Comparison of porosity data from HSDP-2 drillhole as calculated from resistivity log by Archie equation and porosity determined on core samples. Diverting porosity values from subaerial to submarine lava flows indicate large differences between whole-rock in-situ, and core measurements. Possible reasons are lithological differences, but also core procedure related causes, e.g. preferred selection, pressure release and drilling induced weakness.

Page 5: Porosity determination with standard well-logging data ... · porosity calculations are compared with core derived porosity (Dannowski and Huenges, 2000), and displayed as log plot

pictures refer to the possible pore structure derived from cores. The large differences between

log derived porosity and core porosity (Fig. 4) emphasize the strong influence of basaltic rock

morphology on porosity determinations.

In the subaerial part data sets from log and core investigations show a large scatter, but

cover a more or less comparable range of values. Strong brecciation and vesicularity at the top

and bottom of flows is the controlling factor for rock porosity, thus leading to an overall

porosity of Φlog = 10 – 25 % (Fig. 4). This seems to be in agreement with core measurements

showing values in a range of Φcore = 5 – 30 % (max. Φcore = 52 %). However, the controlling

factor for an effective porosity with redundant fluid flow is not only the presence of vesicular

parts in subaerial lava flows but also the conductivity between porosity.

Significant differences between log and core porosity occur in the submarine section. These

differences might be attributed to different factors: (1) to inadequate Archie parameters; (2) to

a predominant selection of coherent, unfractured material for core analyses, and (3) to an

effect of decreasing stability and coherence of core material, due to decompression and further

investigations after drilling. The second issue might be addressed within the Pillow sections,

where the log porosities are higher, representing massive as well as fractured Pillow sections,

while the core samples with lower porosities are preferably taken from massive coherent parts.

A similar difference between core and log porosity is also observed in Pillow series from the

upper oceanic crust. In contrast, core porosities of the hyaloclastic series exhibit on average

higher porosities than those derived from the in-situ log data. The third issue seems to be the

most reasonable which is not so surprising, taking into account the very young age (less than a

few 100 Ka; DePaolo et al., 2001) of compaction and cementation .

GFZ - Potsdam

Porosity (%) Core Data Log Data

(b)

AaPahoehoeTransitionHyaloclastiteMassive UnitPillow Basalt

RWTH - AachenGFZ - Potsdam

6

12

4

4

8

3326

1322

597

8832

2230

4606

0 10 20 30 40 50 10 20 30 40 50 Fig. 4: Box plot diagram of log and core porosity (see also Fig. 4); the comparison emphasizes the large differences between core and log measurements, esp. for hyaloclastites and massive units. Furthermore, the large standard deviation of log porosity for these rock types implicates a re-definition in accordance to their secondary evolution.

Page 6: Porosity determination with standard well-logging data ... · porosity calculations are compared with core derived porosity (Dannowski and Huenges, 2000), and displayed as log plot

Su

baer

ial L

avaf

low

s (A

a, P

ahoe

hoe

& T

rans

itio

n)C

ore

pict

ure

Idea

lized

pic

ture

Mas

sive

par

ts,

1

0 %

φ≤

Mas

sive

par

ts,

1

Hig

ly fr

actu

red

parts

,

50

Hig

hly

vesi

cula

r pa

rts,

5

0 %

φ≈

7 x

7 cm

Cor

e pi

ctur

eId

ealiz

ed p

ictu

re

Sub

mar

ine

Mas

sive

Uni

ts

Su

bmar

ine

Pill

ow B

asal

ts

Cor

e pi

ctur

eId

ealiz

ed p

ictu

re

Sub

mar

ine

Vul

cano

clas

tics

(=H

yalo

clas

tite

s)

C o n s o l i d a t i o n H i g h L o w

Low

GR

, C

35

- 40

%≈

Hig

h G

R, C

1

- 5

%≈

Hig

h G

R, C

1

- 5

%≈

Low

GR

, C

30

- 35

%≈

Fig

. 5:

Mor

phol

ogic

al c

hara

cter

istic

s of

the

ro

cks.

Cor

e pi

ctur

es s

how

sel

ecte

d ex

ampl

es

for

diffe

rent

lit

hoty

pes

for

suba

eria

l la

va

flow

s (l

eft)

, hy

aloc

last

ites

of

diffe

rent

co

nsol

idat

ion

stag

e (m

iddl

e), a

nd s

ubm

arin

e la

va f

low

s (r

ight

). Id

ealis

ed p

ictu

res

disp

lay

a ro

ugh

sket

ch o

f the

cor

e pi

ctur

es r

educ

ing

the

rock

in

form

atio

n to

pr

imar

y an

d/or

se

cond

ary

poro

sity

) an

d th

e am

ount

s of

lit

hocl

asts

(C

) oc

curr

ing

in t

he h

yalo

clas

tic

rock

s;

geop

hysi

cal

info

rmat

ion

rela

tes

to

gam

ma-

ray

activ

ity (G

R).

Page 7: Porosity determination with standard well-logging data ... · porosity calculations are compared with core derived porosity (Dannowski and Huenges, 2000), and displayed as log plot

Even considering uncertainties due to the inaccurate knowledge of the Archie parameters,

the log derived porosity profile provides important information to the large scale

hydrogeological situation of Mauna Kea. The observed stepwise decrease in log porosity

within the hyaloclastites from LU 2 to LU 8 can be related to different stages of compaction

and cementation. The log data depict also very clearly the extension of hydraulic zones, e.g. a

prominent hydrostratigraphic boundary between 1560 – 1660 mbsl (so called ‘1600-

boundary’). This border corresponds to a decrease in porosity from Φlog = 15 – 20 % to Φlog =

5 % and a significant temperature increase (Dannowski and Huenges, 2000). This is probably

generated by two effects: a thick massive unit occurring in this depth interval and the

uppermost limitation of the cementation front within the hyaloclastites at a slightly lower

depth. Moreover, it implies a significant change of the hydrogeological situation above and

below the 1650 m - boundary: above this barrier hyaloclastites with porosities Φhyalo = 12 – 25

% mainly serve as possible fluid pathway zones, whereas the effusives (here: massive units)

have lower porosity (Φmassive = 7 – 12 %) and function as barriers. Below this depth distinct

low velocity/low resistivity zones corresponding to fractures in (Pillow)-basalts serve as fluid

transport pathways. Effusives (here: Pillow basalts) exhibit higher porosity ΦPillow = 2 – 10 %

than hyaloclastites Φhyalo ≈ 2 % and therefore act as fluid conductors.

4. Implications on local fluid flow Beside the general primary evolution of the volcano – from the submarine stage, over a

subaerial build-up and finally subsidence to its present stage (Buysch et al., subm.) – the post-

depositional era has much influence on the volcanic edifice of Mauna Kea. Sudden changes in

porosity, despite a general decrease tendency towards depth (Fig. 6), show that the fluid flow

regime is not only controlled by the primary lithology but also by a secondary impregnation of

the rocks due to cementation and alteration processes. On the contrary, the ancient and the

present complex fluid flow regimes in Mauna Kea with its interlayering aquifers series from

different sources (ocean and groundwater; Paillet and Thomas, 1996; Thomas et al., 1996)

control the evolution of secondary assemblages.

Our investigations favour the following evolution of the local fluid flow regime with time

(Fig. 6):

• First impacts of oceanic fluids occurred directly after flow emplacement during an early

phase of submarine stage; the low compaction grade allowed fluid flow in all parts of the

formations (Pillow units and hyaloclastites); increasing consolidation and cementation of

hyaloclastites directed the fluid flow to the Pillow units, as size, amount, and connectivity

of vesicles and/or fractures were the controlling factor.

Page 8: Porosity determination with standard well-logging data ... · porosity calculations are compared with core derived porosity (Dannowski and Huenges, 2000), and displayed as log plot

Fig. 6: Generalized lithological profile deduced from log responses and compared with a preliminary porosity profile as well as the proposed fluid flow pathways in accordance to the occurring rock type (right). The information is integrated into a structure model of the volcano (left; modified after DePaolo et al., 2001).

01

02

03

0

Por

osity

[%]

Tota

lG

amm

a R

ay[A

PI]

Res

istiv

ityde

ep[O

hmm

]

Dep

th[m

bsl]

600

1000

1500

2000

2500

LU1

LU2

LU3

LU6

LU5

LU4

LU7

LU8

LU9

?

14

1510

,000

sea

leve

l

‘Big

Isla

nd’,

Haw

aii

E-W

100

km

, N-S

120

km

Slo

pe 4

-8°

Hei

ght 4

200

mas

l

Km4 2 0 -2 -4 -6

010

2030

4050

6070

Aa-

, Pah

oeho

e La

va

wid

ely

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ciat

ed p

artly

low

pot

assi

um

Aa-

, Pah

oeho

e La

va

pred

omin

antly

mas

sive

Hya

locl

astit

e, p

olym

ict/m

onol

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hi

gh m

atrix

con

tent

, wea

k co

nsol

idat

ion

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,

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mic

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olith

olog

ichi

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atrix

con

tent

, stro

ng c

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ion

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onol

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atrix

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idat

ion

Mas

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uni

ts, w

eakl

y fr

actu

red

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ow u

nits

, mas

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to s

trong

ly

fra

ctur

ed

Pat

hes

of m

agm

a in

-/ex

trusi

ons,

form

atio

nof

pill

ow b

asal

ts o

r m

assi

ve u

nits

Larg

e hy

aloc

last

ic u

nits

form

ated

by

auto

-bre

ccia

tion

and/

or m

ega

land

slid

es

In u

ncon

solid

ated

hyal

ocla

stite

s

In fr

actu

red

mas

sive

uni

ts

In p

illow

bas

alt

frac

ture

s &

ves

icle

s

Hyd

rost

rat.

boun

dary

In fr

actu

red

/ ve

sicu

lare

par

ts

Pro

pose

d pr

efer

red

fluid

flow

Page 9: Porosity determination with standard well-logging data ... · porosity calculations are compared with core derived porosity (Dannowski and Huenges, 2000), and displayed as log plot

• Further build-up of the volcano and subsequent consolidation lead to the evolution of a

hydrostratigraphic boundary (1600–boundary; Buysch et al., subm.), which is indicative

for a change in general flow regime; porous formations of similar rock types show

different flow behaviour above and below this boundary (see ‘Preliminary porosity

calculation’).

• Fluid circulation along distinct flow parts (e.g. altered and brecciated intervals) and lava

tubes of subaerial lava flows generated the formation of fluid pathway zones with

corresponding alteration type. This type is mainly initiated by an intense weathering of

vesicular and brecciated flow tops and bottoms, often leading to soil formation, and loss of

mobile elements, e.g. potassium (Mathe et al., 1999). A deviating area with high gamma

ray activity in the bottom part (1006 – 1079 mbsl) seems to be less influenced by

weathering, pointing to different fluid flow mechanisms compared to the rest of the

subaerial stage.

General differences between subaerial and submarine stages can be summarized as

following: The lava flows are subject to a break-up of rock coherence, especially, in the

vesicular and brecciated flow parts of the subaerial stage. Formerly vesicular parts tend to be

affected by alteration in that way, that more conductivity for fluids is caused and again further

alteration is favoured. In contrast, the more coherent rock appearance of submarine rocks (e.g.

massive units) with low vesicularity in general refines a cementation effect of alteration

related fluid flow and leads to a certain barrier effect for subsequent fluid flow.

5. References

Archie, G.E., The electrical resistivity log as an aid in determining some reservoir characteristics, Pet. Tech., 5, 1-8, 1942.

Buysch, A., R. Pechnig and U. Harms, Evolution scenarios for Mauna Kea volcano deduced from geophysical downhole measurements, Geochemistry, Geophysics, Geosystems, submitted, 2002.

Dannowski G. and E. Huenges, Continuous Temperature Observations in the Hawaii NSF/ICDP Borehole First Results and Models. AGU Fall Meeting. December 15.-19. 2000. San Francisco, Eos Trans. AGU, 81, 48 Fall Meet. Suppl., V21A-08, 2000.

DePaolo, D.J., E. Stolper and D. Thomas, Deep Drilling into a Hawaiian volcano, Eos Trans. AGU, 82, 13, 151-155, 2001.

Frese, D., Standardverfahren zur Porositätsberechnung aus geophysikalischen Bohrlochmessungen - Ein Vergleich für Lithologien kontinentaler und ozeanischer Kruste, master thesis, unpublished, RWTH Aachen, 1998.

Mathe P.E., P. Rochette, D. Van Damme and F. Colin, Volumetric changes in weathered profiles: iso-element mass balance method questioned by magnetic fabric, Earth Planet Sci. Lett., 167, 255-267, 1999.

Paillet, F.L. and D.M. Thomas, Hydrology of the Hawaii Scientific Drilling Project KP-1, 1, Hydraulic conditions adjacent to the well bore, J. Geophys. Res., 101, B5, 11675-11682, 1996.

Page 10: Porosity determination with standard well-logging data ... · porosity calculations are compared with core derived porosity (Dannowski and Huenges, 2000), and displayed as log plot

Thomas, D. M., F.L. Paillet and M.E. Conrad, Hydrogeology of the Hawaii Scientific Drilling Project borehole KP-1, 2, Groundwater chemistry and regional flow patterns, J. Geophys. Res., 101, B5, 11683-11694, 1996.