Preconditioning input data for full waveform inversion using dipole sparse tau-p inversion

Yu, Zhiyi; Wang, Ping; Wray, Brad; Ray, Suryadeep; Zhao, Wei; Zhang, Zhigang

doi:10.1190/segam2015-5899888.1

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Data Acquisition and Pre-processing1

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2016

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“…The full size of the survey is 25,000 km 2 and we show here results from a large test swath covering an area 98 km  16 km = 1568 km 2 . The pre-processing for FWI involved basic trace edits, swell noise attenuation and an advanced de-noise process to specifically enhance the low frequencies (Yu et al, 2015). The source wavelet for FWI was estimated using an inversion of near field hydrophone measurements (Ni et al, 2014).…”

Section: Data Acquisition and Pre-processingmentioning

confidence: 99%

A Full-waveform Inversion Case Study from Offshore Gabon

Privitera¹,

Ratcliffe²,

Kotova³

2016

78th EAGE Conference and Exhibition 2016

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We applied full waveform inversion to a seismic dataset from offshore Gabon. This dataset features complex geology such as diapirism, shallow gas pockets and dewatering faults. We show the results on a large production-size swath using an advanced full waveform inversion method based on a specialized quasi-Newton optimization algorithm. The updated velocity model highlights an uplift in resolution and a consistency with the geological features observed in the depth migrated stack. The benefits include identifying features and faults in the overburden, and improved top-salt characterization. This results in better imaging in both the post-and pre-salt regions, as well as a velocity model that aids the geological interpretation.

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Section: Data Acquisition and Pre-processingmentioning

confidence: 99%