Application of Geostatistical Inversion Data in Thin Sand Body Modeling

DOI

10.2991/meici-15.2015.162How to use a DOI?

Keywords

Geostatistics; Seismic inversion; Geological modeling; Wave impedance

Abstract

On the basis of understanding the reservoir characteristics of Block S, this paper established the sand body and oil reservoir property model with geostatistical inversion data, in combination with geological modeling technology and petrel software under the restriction of sandstone vertical probability and wave impedance. The result showed under the control of sedimentation model, the combination of geostatistical seismic inversion and geological modeling technology could comprehend the advantages of shaft data and seismic data information and improve the prediction accuracy of inter-shaft and vertical reservoir. This method has a guiding significance in the evaluation of thin-layer oil reservoir and the shaft site deployment.Reservoir modeling and seismic data inversion are two technologies to predict the transverse spreading characteristics of the reservoir [1], and the two have different emphases. The geological modeling is used to quantitatively characterize and depict the non-homogeneity characteristics of reservoir, predict the uncertainty and risk in oil and gas survey and development. The advantage of seismic inversion technology lies in the extensive transverse coverage of seismic data. However, due to the limitation of seismic resolution, it is difficult to predict the thin reservoir. In recent years, the geostatistical inversion has played a more and more important role in the reservoir prediction [2-5]. For the thin oil reservoir, only by combining the two technologies can the reservoir be described accurately.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qiang Wang
PY  - 2015/06
DA  - 2015/06
TI  - Application of Geostatistical Inversion Data in Thin Sand Body Modeling
BT  - Proceedings of the 2015 International Conference on Management, Education, Information and Control
PB  - Atlantis Press
SP  - 927
EP  - 932
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-15.2015.162
DO  - 10.2991/meici-15.2015.162
ID  - Wang2015/06
ER  -