Skip to main content

Advertisement

Log in

Evaluation of unconventional hydrocarbon reserves using petrophysical analysis to characterize the Yageliemu Formation in the Yakela gas condensate field, Tarim Basin, China

  • Original Paper
  • Published:
Arabian Journal of Geosciences Aims and scope Submit manuscript

Abstract

The current findings emphasize interpreting wireline logs to assess the hydrocarbon prospect of the Lower Cretaceous Yageliemu Formation in the Yakela (YKL) gas condensate field, Tarim Basin, China. The present study consists of wireline logs of four drilled wells (S4, YK13, YK21, and YK32) and numerous reservoir zones have been comprehended. According to the petrophysical evaluation, the gas-bearing zone has high resistivity values, good porosity (Φeff) and permeability (K), low water content (Sw), and less shale content (Vsh) indicating clean sand. The petrophysical parameters of the interest zones were closely studied which are classed as good-quality sand layers with ranging effective porosities from 4.5 to 10%, permeability ranging from 0.5 to 18 mD, water saturation concentrations ranging from 55 to 59%, and the average value gas is 41–50%. The Archie equation was accurately tested to estimate water saturation in the reservoirs, revealing that in each well, Sw is less than 60%; therefore, the efficiency of the gas-bearing sand is of good quality. Lithofacies, horizontal and vertical variations of reservoir parameters, are evaluated through building self-organizing maps, isoparametric maps of the petrophysical parameters, and litho-saturation cross-plots, respectively. Isoparametric maps assist in visualizing the spatial distribution of the reservoir configuration. It is suggested that more wells be drilled in the southwestern and northwestern parts of the current research area. Due to the high water concentration and shale volume, the northeastern and southeastern portions of the understudied area must be overlooked.

Graphical abstract

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21

Similar content being viewed by others

Abbreviations

a:

Tortuosity factors

AC:

Acoustic log (μsec/ft)

ANN:

Artificial neural network

Bulkvw:

Bulk volume of water

BS:

Bit size (inch)

CALI:

Caliper log (inch)

Den:

Density log (gm/cm3)

GR:

Gamma ray log (API)

GRmin:

Minimum gamma ray log response (clean sandstone)

GRmax:

Maximum gamma ray log response (100% shale)

IGR:

Gamma ray index

K:

Permeability

m:

Cementation exponent

n:

Saturation exponent

NPHI:

Neutron porosity log (p.u)

RILD:

Deep resistivity (ohm)

RILM:

Medium resistivity (ohm)

RFOC:

Shallow resistivity (ohm)

Rw :

Water resistivity (ohm)

Rt:

True formation resistivity (ohm)

Sg:

Gas saturation (%)

Sw:

Water saturation (%)

SOFM:

Self-organizing feature map

SP:

Spontaneous potential log (mV)

Sw :

Water saturation (%)

∅T:

Total porosity

∅eff:

Effective porosity

Vsh:

Shale volume

S04:

S04 (well name)

YKL:

Yakela (gas field name)

YK13:

Yakela13 (well name)

YK21:

Yakela21 (well name)

YK32:

Yakela32 (well name)

References

Download references

Acknowledgements

I am thankful to Dr. Izhar Sadiq (Ocean College, Zhejiang University, People’s Republic of China) for reading and commenting on the manuscript, which helped improve the article.

Funding

The authors wish to thank the fluid flow lab of Faculty Earth Resources and School Oil and the Gas Engineering Department, China University of Geosciences, Wuhan, for the financial support that made this work possible.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lin Pan.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Additional information

Responsible Editor: Santanu Banerjee

Highlights

• Well-log data are used to characterize the Lower Cretaceous Yageliemu Formation.

• The range of effective porosity has been calculated as 4.5–10%.

• Permeability is 0.5–18 mD, recognizing the well-sorted nature of sand.

• Hydrocarbon saturation in the respective zones is 41 to 50%.

• The Yageliemu Formation reservoir can produce a considerable amount of hydrocarbon.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hussain, W., Pan, L., Wang, X. et al. Evaluation of unconventional hydrocarbon reserves using petrophysical analysis to characterize the Yageliemu Formation in the Yakela gas condensate field, Tarim Basin, China. Arab J Geosci 15, 1635 (2022). https://doi.org/10.1007/s12517-022-10902-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12517-022-10902-z

Keywords

Navigation