Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

Microfacies modeling method of seismic inversion constrained

Authors
Cong Huang
Corresponding Author
Cong Huang
Available Online March 2016.
DOI
https://doi.org/10.2991/icmmct-16.2016.161How to use a DOI?
Keywords
seismic inversion; Sequential indicator; Reservoir modeling. The threshold value
Abstract
To enhance the interwell channel sand prediction accuracy of microfacies model, microfacies modeling based on sequential indicator stochastic approach is performed through integrated study and constrained by 3D seismic inversion and vertical fractional curve for sand body distribution and by using two-dimensional sedimentary facies as sand body boundaries constraints. The modeling results demonstrate that they not only reflect a trend of sand body distribution, but also improve the model prediction accuracy and reduce the uncertainty of the stochastic modeling.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-165-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmmct-16.2016.161How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Cong Huang
PY  - 2016/03
DA  - 2016/03
TI  - Microfacies modeling method of seismic inversion constrained
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 826
EP  - 830
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.161
DO  - https://doi.org/10.2991/icmmct-16.2016.161
ID  - Huang2016/03
ER  -