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B

E

a

SURFACTANT-ENHANCED ALKALINE FLOODING FOR LIGHT OIL RECOVERY

Quarterly Report for the Period April 1 -June 30, 1995

BY

Darsh

T.‘

Wasan

Work

Performed Under Contract No. DE-AC22-92BC14883

Document Control Center

U.S.

Department of Energy Pittsburgh Energy Technology Center

Pittsburgh, PA 15236-0940 P.O. BOX 10940, MS 921-118

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DISCLAIMER

Portions of this document may be illegible

in electronic image products. Images are

produced

from the best available original

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OBJECTIVE

The overall objective of this project is to develop a very cost-effective method for formulating a successful surfactant-enhanced alkaline flood by appropriately choosing mixed alkalis which form inexpensive buffers to obtain the desired pH (between 8.5 and 12.0) for ultimate spontaneous emulsification and ultra-low tension. In addition, the novel concept of pH gradient design to optimize

flood

water conditions will be tested.

~

SUMMARY OF TECHNICAL PROGRESS

The problem of characterizing emulsions in porous media is very important in enhanced oil recovery applications. This is usually accomplished by externally added or insitu generated surfactants that sweep the oil out of the reservoir. Emulsification of the trapped oil is one of the mechanisms of recovery. The ability to detect emulsions in the porous medium is therefore crucial to designing profitable flood systems. The capability of microwave dielectric techniques to detect emulsions in porous medium is demonstrated by mathematical modelling and by experiments.

This quarter the dielectric properties of porous media are shown to be predicted adequately by treating it as an O/W type dispersion of sand grains in water. Serious discrepancies between Beer-Lambert’s rule and the effective medium model predictions are noted. The frequency invariant dielectric modulus at 20% rock porosity suggests viability of lower frequency measurements. Porous rock characteristics at much greater depth of field can, therefore, be obtained since there is much less attenuation at lower frequencies. The lower limit of usable frequency will be governed by salinity considerations.

Coreflood Experiments

A computer controlled absorption instrument was developed in our laboratory for the automated measurement of oivwater saturation in laboratory models of porous media. It consists of a PDP-1 1/10 mini computer, two constant rate pumps, a differential pressure transducer, an automated fraction collector, and a microwave adsorption analyzer. The components of the measuring device are the microwave focused lens horns, one of them transmitting and the other receiving. The attenuation data has been interpreted to date under the assumption that when

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2

microwave radiation travels through a homogeneous medium, the power intensity of the beam is reduced according to Beer-Lambert’s rule. Microwave energy is considered to be absorbed exclusively by the water molecules. Other model components such as oil, gas, consolidated rock,

and epoxy paint are considered nearly transparent compared with water. Thus, the

total

absorption is

a

direct function of the number of water molecules in the beam path and is described by Beer Lambert’s rule:

.

I ,

-=A =exp( -K,Ch)

Ii

where

4

is the radiation emerging from the sample, Ii is the radiation intensity incident on the sample,

K,

is the molar absorption coefficient, C is the concentration of the absorber, h is the thickness of the sample, and A is the absorbance. Water saturation is obtained from the logarithmic ratio of the microwave signal.

The serious limitation in this approach is that it treats the porous medium, which is a dispersion of sand grains in brine, as a simple mixture. The porous medium is better modelled as a dispersion of sand grains. For a spherical dispersion of sand grains, the dielectric behavior of the porous medium can be described by Hanai’s model as

This formula is applicable to non-spherical dispersions that possess self similarity. The experimental measurements, obtained from reference 1, for a model porous media of fused glass beads in various solvents, is shown in Figure 1.

As can be seen from the figure, the comparison between the measured values of the dielectric constant and the theoretical predictions of the effective medium theory is very good. Experimental measurements of the dielectric properties of

dry

Berea sandstone core were made at 23.45 GHz during the course of this study. The measured value of the permittivity compared with the effective medium theory to within 8%. The deviation from Beer-Lambert’s mixing rule was substantially much higher at 26%. Thus the effective medium theory which treats the porous medium as an

O/W

type dispersion appears to be valid in predicting porous medium dielectric

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characteristics.

The practical consequences of using Beer-Lambert's rule instead of effective medium models is illustrated in Figure 3 for an O N type dispersion. As can be seen from the figure, theoretical calculation using Beer's law will tend to overpredict the amount of water present, especially at high water saturations. The loss factor plotted in Figure 3 is directly proportional to the measured attenuation for a constant size core. Earlier core flooding experiments gave good results as they were calibrated to the porosity by material balance.

.

RESULTS AND DISCUSSION

An accurate way to interpret microwave dielectric data to determine porous media saturation characteristics is to use an effective medium theory, with

i

and

i'

computed by phase and attenuation measurements. The dielectric modulus for a water saturated Berea sandstone core with 20% porosity is shown in Figure 4.

I

It is important to note from Figure 4 that the modulus of the system is frequency invariant over a wide range of frequencies. This result has the important implication that low frequency

data is adequate for determining the saturation characteristics and is especially significant for insitu monitoring of porous medium in oil fields. The porous medium is akin to an oil-in-water emulsion system and low frequency microwave techniques are preferable since there is considerably less attenuation at low microwave frequencies. Porous rock characteristics at much greater depths can, therefore, be obtained by a single frequency measurement of the dielectric constant. The lower limit of the usable frequency will be governed by salinity considerations. The dielectric data of O/W type systems, including porous media, from several sources at various frequencies in the microwave region is represented as a dielectric moduIus in Figure 5. The data spans virtually the entire range of dispersed phase volume fractions and compares favorably with the dielectric modulus of O/W emulsion systems obtained from our model computations.

I

REFERENCES

1. Sen, P.N., Scala, C., and Cohen, M.H., "A Self-similar Model for Sedimentary Rocks

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4 PUBLICATIONS

1. Aderangi, N., and Wasan, D.T,,"Coalescence of single drops at a liquid-liquid interfacce in the presence of surfactants/polymers," Chem. Eng. Corn., 132, 207 (1995).

Kim, Y.H., Wasan,

D.T.,

and Bwn, P.J., "A study of dynamic interfacial mechanisms for demulsification of water-in-oil emulsions," Colloids and Swjizces, 95, 235 (1995). 2.

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1

Comparison

of

Experimental Data with

Effective

Medium

Theory

for

Modvi

Porous Medium

of

Fused

Glass

Beads with

var-

ious Solvents

[74]

S .O

(8)

4000 3000 2000 1000 0 i

-

I 1 1 - 2

PATHLENGTH INCHES

3

Figure 2

Dry

Core

Variable

Pathlength Phase

Shift

Data at

23.45

..

-

(9)

.

.

4.00

r

- -

Beer-Lambert

Hanai's

model

o*o%.b41

I

20.0

I

'

I

'

I

40.0

'

'

'

I

'

60.0

'

'

'

80.0

'

I

'

'

100.0

I

'

PERCENTAGE

WATER

SATURATION

Figure 3

Models for an

O/W

type Dispersion at

23.45

GHz.

Comparison

of

Beer Lambert

Law

with Effective Medium

a.

(10)

.

o

0.50

.d k 4 0 Q) Q) d .c(

0.25

\

\

\

~ l ~ l " " t ' l ' ~ " ' ' " J

9

10

11

12

13

Log

Frequency

Figure 4

Frequency

Invariant

Modulus

Plot

of

the Dielectric Mod-

ulus of

Berea

Sandstone Porous

Medium

at

20%

Porosity

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1.00

-

-

A

-

-

O - O 0 . 0 '

I I I

0.2

'

I I I

'

0.4

I

'

I I

0.6

I

'

' '

0.0

'

I

1.0

Volume Fraction

Water

Computed

Values

ooooo

1.1

GHz

Sen

e t

a1

o o o m

8.2

GHz

Per1

a a ~ ~ ~ 9 . 5

GHz Thomas

00000

11.0

GHz

Per1

-m.=

3.0

GHz

Mudgett

00.00

9.7

GHz

Kraszewski

A A * A A

23.5

GHz

Thomas

Figure 5

ulus

of

O/W

Type Dispersions

using Effective Medium Theory

Frequency Invariant Modulus

Plot

of the Dielectric Mod-

References

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