Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering

The Application of Post-Stack Geostatistics Inversion in the Prediction of Narrow Channel Sand Body

Authors
Jianhua Huang
Corresponding Author
Jianhua Huang
Available Online October 2016.
DOI
https://doi.org/10.2991/mmme-16.2016.207How to use a DOI?
Keywords
geo-statistical inversion; random simulation; inner frontal; prediction of sand body
Abstract

Aiming at the big difficulty in predicting the inner front narrow channel sand body, by the example of P group reservoir of the G oilfield, we have discussed the application of post-stack geostatistics inversion in the prediction of narrow channel sand body. During the process of application, combing the stochastic modeling technology with conventional seismic inversion, geology, logging and 3D seismic data is colligated effective-ly, compared with the description method only based on well data, this result is more accurately to describe the distribution of inner frontal narrow channel sand body.

Copyright
© 2016, 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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Volume Title
Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-221-3
ISSN
2352-5401
DOI
https://doi.org/10.2991/mmme-16.2016.207How to use a DOI?
Copyright
© 2016, 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/).

Cite this article

TY  - CONF
AU  - Jianhua Huang
PY  - 2016/10
DA  - 2016/10
TI  - The Application of Post-Stack Geostatistics Inversion in the Prediction of Narrow Channel Sand Body
BT  - Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmme-16.2016.207
DO  - https://doi.org/10.2991/mmme-16.2016.207
ID  - Huang2016/10
ER  -