Target-oriented joint inversion of incomplete time-lapse seismic data sets |

**Gboyega Ayeni and Biondo Biondi**

We propose a joint inversion method, based on linear least-squares wave-equation inversion, for imaging incomplete time-lapse seismic data sets.
Such data sets can arise from presence of production facilities or intentional *sparse sampling*.
These data sets generate undesirable artifacts that degrade the quality of time-lapse seismic images, making them unreliable indicators of production-related changes in reservoir properties.
To solve this problem, we pose time-lapse imaging as a joint linear inverse problem that utilizes concatenations of target-oriented approximations to the least-squares imaging Hessian.
Using a subset of the 2D Marmousi model, we show that the proposed method gives reliable time-lapse seismic images from incomplete seismic data sets.

- Introduction

- Numerical Examples

- Discussion
- Conclusions
- ACKNOWLEDGMENTS
- Bibliography
- APPENDIX A
- Linear least-squares modeling/inversion

- About this document ...

2009-05-05