Petroleum Science >2015,??Issue 3:??428-442 DOI: https://doi.org/10.1007/s12182-015-0043-8
Porosity prediction from seismic inversion of a similarity attributebased on a pseudo-forward equation (PFE): a case studyfrom the North Sea Basin, Netherlands Open?Access
文章信息
作者：Saeed Mojeddifar,Gholamreza Kamali and Hojjatolah Ranjbar
作者單位：
Department of Mining Engineering, Shahid Bahonar University of Kerman, Kerman, Iran;Department of Mining Engineering, Shahid Bahonar University of Kerman, Kerman, Iran;Department of Mining Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
投稿時間：2015-07-22
引用方式：Mojeddifar, S., Kamali, G. & Ranjbar, H. Pet. Sci. (2015) 12: 428. https://doi.org/10.1007/s12182-015-0043-8
文章摘要
The objective of this work is to implement a
pseudo-forward equation which is called PFE to transform
data (similarity attribute) to model parameters (porosity) in
a gas reservoir in the F3 block of North Sea. This equation
which is an experimental model has unknown constants in
its structure; hence, a least square solution is applied to find
the best constants. The results derived from solved equations
show that the errors on measured data are mapped
into the errors of estimated constants; hence, Tikhonov
regularization is used to improve the estimated parameters.
The results are compared with a conventional method such
as cross plotting between acoustic impedance and porosity
values to validate the PFE model. When the testing dataset
in sand units was used, the correlation coefficient between
two variables (actual and predicted values) was obtained as
0.720 and 0.476 for PFE model and cross-plotting analysis,
respectively. Therefore, the testing dataset validates relatively
well the PFE optimized by Tikhonov regularization
in sand units of a gas reservoir. The obtained results indicate
that PFE could provide initial information about
sandstone reservoirs. It could estimate reservoir porosity
distribution approximately and it highlights bright spots
and fault structures such as gas chimneys and salt edges.
pseudo-forward equation which is called PFE to transform
data (similarity attribute) to model parameters (porosity) in
a gas reservoir in the F3 block of North Sea. This equation
which is an experimental model has unknown constants in
its structure; hence, a least square solution is applied to find
the best constants. The results derived from solved equations
show that the errors on measured data are mapped
into the errors of estimated constants; hence, Tikhonov
regularization is used to improve the estimated parameters.
The results are compared with a conventional method such
as cross plotting between acoustic impedance and porosity
values to validate the PFE model. When the testing dataset
in sand units was used, the correlation coefficient between
two variables (actual and predicted values) was obtained as
0.720 and 0.476 for PFE model and cross-plotting analysis,
respectively. Therefore, the testing dataset validates relatively
well the PFE optimized by Tikhonov regularization
in sand units of a gas reservoir. The obtained results indicate
that PFE could provide initial information about
sandstone reservoirs. It could estimate reservoir porosity
distribution approximately and it highlights bright spots
and fault structures such as gas chimneys and salt edges.
關鍵詞
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Porosity Seismic inversion Tikhonov regularization Similarity