Liu, Faqi (Hess Corporation) | Morton, Scott A. (Hess Corporation) | Fairhead, Stuart (Hess Corporation) | Checkles, Steve (Hess Corporation) | Guasch, Lluis (Imperial College) | Warner, Mike (Imperial College) | Umpleby, Adrian (Imperial College) | Meng, Zhaobo (In-Depth Geophysical Incorporated)
By minimizing the difference between synthetic and field data sets, full waveform inversion (FWI) can produce high resolution and high fidelity earth model parameters that are not resolvable by commonly used ray-based tomography. In this paper, we share our experience on applying 3-D acoustic time-domain full waveform inversion to an OBC data set collected over Valhall field in North Sea. Introduction Ray-based tomography has been the main algorithm in deriving velocity models. However, this image-domain method can only produce a smooth result that is mostly used for depth imaging; it is incapable of sensing the small scale structures in the earth parameters. Full waveform inversion, on the other hand, is a data-domain (t im e or frequency) algorithm, which can derive a fine-scale model such that the synthetic data can best match the recorded field data. FWI is typically casted as a minimization problem. The methods to solve such inversion problems can be classified in two general groups: one is the global optimization algorithm, like simulated annealing (Sen and Stoffa, 1991), genetic algorithms (Stoffa and Sen, 1991), etc. These methods have been employed in many inversion related applications (Landa, et.