Skip to main content

Favorable Reservoir Facies Zone Prediction Based on Seismic Inversion in Block a of Venezuela

  • Conference paper
  • First Online:
Proceedings of the International Field Exploration and Development Conference 2021 (IFEDC 2021)

Part of the book series: Springer Series in Geomechanics and Geoengineering ((SSGG))

Included in the following conference series:

  • 29 Accesses

Abstract

Block A located in the Venezuela Orinoco heavy oil belt is generally a northward monocline, and the target layer is Oligocene-Miocene braided river delta plain sand body, and the burial depth is shallow in the north and is deep in the south. The Miocene Oficina Formation in the Eastern of the Orinoco heavy oil belt was selected as the research area, and the distribution prediction of favorable reservoir sand body was carried out based on seismic inversion analysis methods and techniques, so as to deepen the understanding of spatial distribution law and evolution characteristics of favorable reservoir facies belt, and provide geological basis for the development scheme design of heavy oil.

The sandstone reservoirs of the Block A characterized by shallow burial depth, great thickness, poor cementation and interbed/intercalated mudstone. Most wells are horizontal wells without sonic and density curves in this block. In these cases, it is difficult to achieve the conventional seismic inversion. This paper provides a new method to improve seismic inversion using both vertical and horizontal well data. Firstly, on the basis of sequence stratigraphic framework established, carried out the horizon picking based on the well and seismic data. Then, by jointing the vertical-well inversion and horizontal-well forward, based on Bayesian theory, seismic, logging and geostatistical information are integrated to predict the spatial distribution of sand bodies of the Oficina Formation. The results show that the sand bodies in the Oficina Formation are developed as a whole, and the favorable reservoirs are distributed in the direction of NE-SW, and the distribution range and thickness of the reservoirs gradually decrease from the bottom to the top. The distribution range of mudstone in the lower reservoir is small, with a thickness of 10–30 ft, mainly forming mudstone interlayer; the distribution range of mudstone in the upper reservoir is larger, with a thickness of 20–40 ft, forming a certain scale of interlayer.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Wu, S.H.: Reservoir Characterization & Modeling. Petroleum Industry Press, Beijing (2010)

    Google Scholar 

  2. Chen, D.X., Liu, D.Z., Zeng, X.N., et al.: Application and improvement of spatial temporal Kriging in geomagnetic field interpolation. Chin. J. Geophys. 59(5), 1743–1752 (2016)

    Google Scholar 

  3. Rucker, D.: Moisture estimation within a mine heap: an application of cokriging with assay data and electrical resistivity. Geophysics 75(1), B11–B23 (2010)

    Article  Google Scholar 

  4. Vargas-Guzmán, J.A., Weibel, W.L., et al.: Integration of 3D-seismic impedance into high-resolution geocellular models using non-collocated downscaling. SPE148363 International (2011)

    Google Scholar 

  5. Liu, W.L., Xia, H.Y.: The application of collocated cokriging in reservoir prediction. Prog. Explor. Geophys. 27(5), 367–370 (2007)

    Google Scholar 

  6. Geng, M.X., Huang, D.N., Yu, P., et al.: Three-dimensional constrained inversion of full tensor gradiometer data based on cokriging method. Chin. J. Geophys. 59(5), 1849–1860 (2016)

    Google Scholar 

Download references

Acknowledgments

The project is supported by CNPC Science and Technology Major Project (Number 2021DJ3105).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dan-dan Wang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wang, Dd., Zhou, Yb., Li, Bx., Yang, Xf., Xu, Hx. (2022). Favorable Reservoir Facies Zone Prediction Based on Seismic Inversion in Block a of Venezuela. In: Lin, J. (eds) Proceedings of the International Field Exploration and Development Conference 2021. IFEDC 2021. Springer Series in Geomechanics and Geoengineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-2149-0_446

Download citation

Publish with us

Policies and ethics