New WAG Injection Model Based on the Produced Gas Density#br#
Variation for Enriched-gas Flooding

doi:10.11885/j.issn.1674-5086.2013.12.30.01

Abstract

Abstract:

When using the WAG models proposed in the literatures，different slug conclusions are obtained by using common
indexes such as oil recovery，TRF，cumulative net cash flow and NPV. The reason is that the WAG design method has
neglected the quantitative relationship between the injected enriched-gas volume and the amount of remaining oil in the swept
region. In this paper，an efficient optimization and design method is proposed and developed for water-alternating-gas injection
model（EWAG）injection process. The proposed technique is able to quantitatively determine the sizes of the enriched-gas slug
and water slug for each cycle of the water-alternating-gas（WAG），as well as the total number of injection cycles. Applying this
method provides this opportunity to implement the WAG scenario more efficiently and economically. The numerical simulation
showed that in comparison with other conventional WAG scenarios with traditional optimization approaches，the EWAG has
the obvious advantages of evaluation indices，such as the oil recovery factor and cumulative net cash flow.

Key words: enriched-gas flooding, condensate, produced gas density, displacement efficiency, EWAG

CLC Number:

TE357.7

WANG Shengkui1，2*, ZHANG Weidong3, YUAN Xiangchun1, WEI Xuguang3, CAI Maojia4. New WAG Injection Model Based on the Produced Gas Density#br# Variation for Enriched-gas Flooding[J]. 西南石油大学学报(自然科学版), 2016, 38(3): 95-100.

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References

[1] CHRISTENSEN J R，STENBY E H，SKAUGE A. Review
of WAG field experience[C]. SPE 39883，1998.
[2] ESMAIEL T E，FALLAH S，VAN Kruijsdijk. Determination
of WAG ratios and slug sizes under uncertainty in a
smart wells environment[C]. SPE 93569，2005.
[3] AWAN A R，TEIGLAND R，KLEPPE J. A survey of
north sea enhanced-oil-recovery projects initiated during
the years 1975 to 2005[C]. SPE 99546，2008.
[4] HUANG E T S，HOLM L W. Effect of WAG injection and
wettability on oil recovery during carbon dioxide flooding[
C]. SPE 15491，1988.
[5] BERMUDEZ L，JOHNS R T，PARAKH H. Parametric
investigation of WAG floods above the MME[C]. SPE
84366，2007.
[6] HADLOW R E. Update of industry experience with CO2
injection[C]. SPE 24928，1992.
[7] SKAUGE A，LARSEN J A. New approach to model
the WAG process[C]//Bergen：15th International Energy
Agency Collaborative Project on Enhanced Oil Recovery，
Workshop and Symposium，Norway，1994.
[8] MA T D，RUGEN J A，STOISITS R F，et al. Simultaneous
water and gas injection pilot at the Kuparuk River
field（reservoir impact）[C]. SPE 30726，1995.
[9] SOLANO R，JOHNS R T，LAKE L W. Impact of reservoir
mixing on recovery in enriched-gas drives above the
minimum miscibility enrichment[C]. SPE 73829，2001.
[10] ARNE S，ELISABETH I D. Progress in immiscible WAG
modeling[C]. SPE 111435，2007.
[11] TEWARI R D，RIYADI S，KITTRELL C，et al. Maximizing
the oil recovery through immiscible water alternating
gas（IWAG）in mature offshore field[C]. SPE 133345，
2010.
[12] MOGHANLOO R G，LAKE L W. Simultaneous watergas-
injection performance under loss of miscibility[C].
SPE 129966，2010.
[13] ZAHOOR A，DERAHMAN M N，YUNAN M H. WAG
process design– an updated review[J]. Brazilian Journal of
Petroleum and Gas，2011，5：109 121.
[14] SURGUCHEV L M，KORBOL R，KRAKSTAD O S. Optimum
water alternate gas injection schemes for stratified
reservoirs[C]. SPE 24646，1992.
[15] KULKARNI M M. Immiscible and miscible gas-oil displacements
in porous media[M]. A master Thesis，The
Craft and Hawkins Department of Petroleum Engineering，
University of Pune，India，2003.
[16] CHEN S，LI H，YANG D，et al. Optimal parametric
design for water-alternating-gas（WAG）process in a
CO2-miscible flooding reservoir[J]. Journal of Canadian
Petroleum Technology，2010，49（10）：75 82.
[17] ARYA A，HEWETT T A，LARSON R G，et al. Dispersion
and reservoir heterogeneity[C]. SPE 14364，1988.
[18] STALKUP F L. Effect of gas enrichment and numerical
dispersion on enriched-gas-drive prediction[C]. SPE
18060，1990.
[19] MAHADEVAN J，LAKE L W，JOHNS R T. Estimation
of true dispersivity in field scale permeable media[C]. SPE
75247，2002.
[20] HOLM L W，JOSENDAL V A. Discussion of determination
and perdition of CO2 minimum miscibility pressure[
J]. JPET Tech，1980，32（5）：870 871.

New WAG Injection Model Based on the Produced Gas Density#br# Variation for Enriched-gas Flooding

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