The use of low frequencies in a full‐waveform inversion and impedance inversion land seismic case study

Baeten, G.; Maag, J. W. de; Plessix, René‐Edouard; Klaassen, Rini; Qureshi, Tahira; Kleemeyer, M.; Kroode, Fons ten; Zhang, Rujie

doi:10.1111/1365-2478.12010

Cited by 103 publications

(39 citation statements)

References 22 publications

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“…The survey design was characterized by the use of a dedicated low frequency vibrator, a dense grid of single geophones, large offsets to facilitate Full Waveform Inversion, and a dedicated sweep design aimed at retrieving energy down to 1.5 Hz. The results of the Full Waveform Inversion on these data have been described in (Baeten et al, 2013). 3.…”

Section: Deployment Of Source Technologymentioning

confidence: 99%

Next Generation Broadband Land Acquisition

Baeten

Hwang

Walk

2014

Abu Dhabi International Petroleum Exhibition and Conference

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The acquisition of broadband full azimuth surveys in a desert environment requires the application of several new technologies. These technologies can be divided in three main fields: the seismic receiver, the seismic source and the processing algorithms. We will discuss these new technologies, and show that the developments towards high channel counts and low frequencies are intimately related. Hence, an integrated approach is required to make optimum use of new emerging technologies. We also show some applications of the technology, demonstrating the value that these novel acquisition techniques can provide.Source -Desert surveys almost exclusively use Vibroseis as a source. Over the last two years, the use of low frequencies in onshore seismic acquisition and processing has become more and more a routine practice. However, the emission of low frequencies by seismic vibrators is far from trivial and required a number of new technological developments and field tests. We will discuss the developments in vibrator technology, the limitations that are still in existence today and possible future developments.Receiver -Current developments in land seismic acquisition show a trend towards higher channel counts and increased bandwidth. In addition, the increase in use of single sensors provides potential for acquiring higher resolution data, and improved signal preservation at the higher frequencies.For broadband desert surveys, to significantly improve data fidelity, data sampling needs to be much improved by much increasing the channel count and including very low frequencies down to 1Hz. Shell is investing in the development of broad band land sensors that records to very low frequencies (Ͻ 1Hz) and are cost-effectively scalable to 1 million channels. Single, light weighted, sensor systems will be much cheaper and faster to deploy, with less staff and lower HSE footprint. We will describe the status and report on recent field trial in the Middle East.Both the full azimuth aspect of the surveys and the low frequency content require the application of dedicated processing algorithms. These processes vary from a geophone amplitude-and phase correction early in the processing chain, to Full Waveform Inversion and processing techniques that account for azimuthal variations at later stages in the processing. Applications of broadband full azimuth technologies will be shown, demonstrating the benefits that a bandwidth extension can provide to the seismic data in terms of increased resolution and structural definition.

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Section: Deployment Of Source Technologymentioning

confidence: 99%

Next Generation Broadband Land Acquisition

Baeten

Hwang

Walk

2014

Abu Dhabi International Petroleum Exhibition and Conference

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“…Full‐waveform inversion is another important application that demands more low frequencies (Baeten et al . ).…”

Section: Introductionmentioning

confidence: 97%

Well tie for broadband seismic data

Naeini¹,

Gunning

White

2016

Geophysical Prospecting

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The seismic industry is increasingly acquiring broadband data in order to reap the benefits of extra low‐ and high‐frequency contents. At the low end, as the sharp low‐cut decay gets closer to zero frequency, it becomes harder for a well tie to estimate the low‐frequency response correctly. The fundamental difficulty is that well logs are too short to allow accurate estimation of the long‐period content of the data. Three distinctive techniques, namely parametric constant phase, frequency‐domain least squares with multi‐tapering, and Bayesian time domain with broadband priors, are introduced in this paper to provide a robust solution to the wavelet estimation problem for broadband seismic data. Each of these techniques has a different mathematical foundation that would enable one to explore a wide range of solutions that could be used on a case‐by‐case basis depending on the problem at hand. A case study from the North West Shelf Australia is used to analyse the performance of the proposed techniques. Cross‐validation is proposed as a robust quality control measure for evaluating well‐tie applications. It is observed that when the seismic data are carefully processed, then the constant phase approach would likely offer a good solution. The frequency‐domain method does not assume a constant phase. This flexibility makes it prone to over‐fitting when the phase is approximately constant. Broadband priors for the time‐domain least‐squares method are found to perform well in defining low‐frequency side lobes to the wavelet.

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“…However, traveltime tomography may fail to reveal hidden layers and may also fail to resolve detailed structures with high resolution. In the data domain, the problem is well known as cycle-skipping if the predicted data from a starting model differ from the acquired data by more than half a period (Shin and Cha, 2009;Fei et al, 2012;Baeten et al, 2013;Chi et al, 2014). FWI is a waveform fitting approach (Berkhout, 1984;Tarantola, 1984;Esmersoy, 1986;Virieux and Operto, 2009), which could produce a high-resolution imaging result.…”

Section: Introductionmentioning

confidence: 99%

Alternating first-arrival traveltime tomography and waveform inversion for near-surface imaging

Sun

Zhang

2017

GEOPHYSICS

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Near-surface seismic imaging often plays a significant role in producing quality data processing results for the deep subsurface in land and shallow marine environments.First-arrival traveltime tomography is a common approach for near-surface imaging due to its high efficiency and simplicity. However, the method faces issues of missing hidden layers and resolving the structures with low resolution. On the other hand, waveform inversion should offer better solutions for dealing with these issues but may suffer from the cycle-skipping problem. We intend to use the advantages and reduce the disadvantages of the two methods by developing a new strategy of alternately applying traveltime tomography and waveform inversion through iterations.First-arrival traveltime tomography applies a wavefront raytracer and a nonlinear inversion approach. Waveform inversion is a multiscale approach in which a wavelet transform is applied in the data domain to better handle the cycle-skipping problem.By alternating the two inversions rather than performing a joint inversion, we reduce the memory requirements and avoid non-physical scaling problems between the two approaches. Using one synthetic and two real data examples, we demonstrate that alternating inversions minimize two separate objective functions at the same time and constrain the near surface structures fairly well compared with the waveform inversion method alone. For the field examples, the new method avoids generating the obvious artifacts and provides results consistent with the geology analysis of those areas.

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The use of low frequencies in a full‐waveform inversion and impedance inversion land seismic case study

Cited by 103 publications

References 22 publications

Next Generation Broadband Land Acquisition

Next Generation Broadband Land Acquisition

Well tie for broadband seismic data

Alternating first-arrival traveltime tomography and waveform inversion for near-surface imaging

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