Seismic Soundoff

2020 ◽  
Vol 39 (4) ◽  
pp. 296-296
Author(s):  
Andrew Geary
Keyword(s):  
Survey Design ◽  
New Technology ◽  
Waveform Inversion ◽  
Full Waveform Inversion ◽  
Seismic Surveys ◽  
Full Waveform ◽  
Short Course ◽  
Seismic Acquisition

The following is an excerpt from SEG's podcast, Seismic Soundoff. In this episode, host Andrew Geary previews Dave Monk's upcoming Distinguished Instructor Short Course and book titled, “Survey design and seismic acquisition for land, marine, and in-between in light of new technology and techniques.” In this engaging conversation, Dave and Andrew discuss how full-waveform inversion impacts survey design, the research breakthroughs needed for the next evolution of seismic surveys, and one group that may not realize that this course is for them. Listen to the full episode at https://seg.org/podcast/post/8946 .

Introduction to this special section: Seismic acquisition

2022 ◽  
Vol 41 (1) ◽  
pp. 8-8
Author(s):  
Keith Millis ◽  
Guillaume Richard ◽  
Chengbo Li
Keyword(s):  
Special Section ◽  
Waveform Inversion ◽  
Environmental Concerns ◽  
Full Potential ◽  
Full Waveform Inversion ◽  
Low Frequencies ◽  
Seismic Surveys ◽  
Operational Risks ◽  
Full Waveform ◽  
Seismic Acquisition

In the life cycle of a seismic product, the lion's share of the budget and personnel hours is spent on acquisition. In most modern seismic surveys, acquisition involves hundreds of specialized personnel working for months or years. Seismic acquisition also must overcome potential liabilities and health, safety, and environmental concerns that rival facility, pipeline, construction, and other operational risks. As only properly acquired data can contribute effectively to processing and interpretation strategies, a great deal of importance is placed on acquisition quality. Arguably, many of the advances the seismic industry has experienced find their origin arising from advances in acquisition techniques. Full-waveform inversion (FWI), for example, can reach its full potential only when seismic acquisition has provided both low frequencies and long offsets.

scholarly journals Bayesian Full-waveform Inversion with Realistic Priors

Geophysics ◽  
2021 ◽  
pp. 1-20
Author(s):  
Xin Zhang ◽  
Andrew Curtis
Keyword(s):  
Prior Information ◽  
Velocity Structure ◽  
Waveform Inversion ◽  
Full Waveform Inversion ◽  
Reflection Seismic ◽  
Variational Bayesian Inference ◽  
Full Waveform ◽  
Highly Nonlinear ◽  
Seismic Acquisition ◽  
Using Data

Seismic full-waveform inversion (FWI) uses full seismic records to estimate the subsurface velocity structure. This requires a highly nonlinear and nonunique inverse problem to be solved, so Bayesian methods have been used to quantify uncertainties in the solution. Variational Bayesian inference uses optimization to provide solutions efficiently. However, previously the method has only been applied to a transmission FWI problem, and with strong prior information imposed on the velocity such as is never available in practice. We show that the method works well in a seismic reflection setting, and with realistically weak prior information, representing the type of problem that occurs in reality. We conclude that the method can produce high-resolution images and reliable uncertainties using data from standard reflection seismic acquisition geometry, realistic nonlinearity, and practically achievable prior information.

High frequency full waveform inversion as an interpretation solution

2019 ◽  
Vol 59 (2) ◽  
pp. 904
Author(s):  
Laurence Letki ◽  
Matt Lamont ◽  
Troy Thompson
Keyword(s):  
High Frequency ◽  
Waveform Inversion ◽  
Earth Model ◽  
Full Waveform Inversion ◽  
Ocean Bottom ◽  
Very High Frequency ◽  
Computing Power ◽  
Seismic Surveys ◽  
Full Waveform ◽  
Direct Interpretation

The amount of available data to help us characterise the subsurface is ever increasing. Large seismic surveys, long offsets, multi- and full-azimuth datasets, including 3D and 4D, marine, ocean-bottom nodes and extremely high fold land surveys, are now common. In parallel, computing power is also increasing and, in combination with better data, this enables us to develop better tools and to use better physics to build models of the subsurface. Wave-equation based techniques, such as full waveform inversion (FWI), have therefore become a lot more practical. FWI uses the entire wavefield, including refractions and reflections, primaries and multiples, to generate a refined, high resolution Earth model. This technique is now commonly used at lower frequencies (up to 12 Hz) to derive more accurate models for improved seismic imaging and reduced depth conversion uncertainty. By including higher frequencies in FWI, we can attempt to resolve for finer and finer details. FWI models using the entire bandwidth of the seismic data constitute an interpretation product in itself, with applications in both structural interpretation and reservoir characterisation. Incorporating more physics within the FWI implementation, combined with modern supercomputer facilities, promises to increase the focus on very high frequency FWI in the coming years. In this paper, through a series of field examples, we illustrate the applications and rewards of high frequency FWI: from improved imaging, improved quantitative interpretation and depth conversion to a direct interpretation of the FWI models.

Source-independent time-domain vector-acoustic full-waveform inversion

Geophysics ◽  
2019 ◽  
Vol 84 (4) ◽  
pp. R489-R505 ◽  
Author(s):  
Yu Zhong ◽  
Yangting Liu
Keyword(s):  
Particle Velocity ◽  
Time Domain ◽  
Seismic Data ◽  
Waveform Inversion ◽  
Velocity Model ◽  
Full Waveform Inversion ◽  
Full Waveform ◽  
Adjoint State ◽  
Dual Sensor ◽  
Seismic Acquisition

Dual-sensor seismic acquisition systems that record the pressure and particle velocity allow the recording of the full-vector-acoustic (VA) wavefields. Most previous studies have focused on data-domain processing methods based on VA seismic data; whereas, few studies focused on using full-VA seismic data in full-waveform inversion (FWI). Conventional acoustic FWI only takes advantage of the pressure recordings to estimate the medium’s velocity model. Some artifact events will appear in the adjoint-state wavefields based on the conventional acoustic FWI method. These artifact events further reduce the accuracy of acoustic FWI. To simultaneously use pressure and vertical particle velocity recordings, we introduced a new time-domain VA FWI method. The VA FWI method can take advantage of directivity information contained in the VA seismic data. Thus, the adjoint-state wavefields based on VA FWI are more accurate than those from the conventional acoustic FWI method. In addition, we applied a convolution-based objective function to eliminate the effects of the source wavelet and implement a time-domain multiscale strategy in VA FWI. Synthetic examples are presented to demonstrate that VA FWI can improve the accuracy of acoustic FWI in the presence and absence of a free surface in the acoustic case. In addition, VA FWI does not significantly increase the computation and memory costs, but it has better convergence when compared with conventional acoustic FWI.

Parameter crosstalk and modeling errors in viscoacoustic seismic full-waveform inversion

Geophysics ◽  
2019 ◽  
Vol 84 (4) ◽  
pp. R641-R653 ◽  
Author(s):  
Scott Keating ◽  
Kristopher A. Innanen
Keyword(s):  
Waveform Inversion ◽  
Sufficient Information ◽  
Full Waveform Inversion ◽  
Full Spectrum ◽  
Attenuation Model ◽  
Frequency Bands ◽  
Intrinsic Attenuation ◽  
Full Waveform ◽  
Modeling Errors ◽  
Seismic Acquisition

Simultaneous use of data within relatively broad frequency bands is essential to discriminating between velocity and [Formula: see text] errors in the construction of viscoacoustic full-waveform inversion (QFWI) updates. Individual frequencies or narrow bands in isolation cannot provide sufficient information to resolve parameter crosstalk issues in a surface seismic acquisition geometry. At the same time, too broad a frequency band introduces significant problems in the presence of modeling errors. The risk of modeling errors arising in QFWI is high because of the range of very different geologic contributors to attenuation and dispersion and the variety of available mathematical descriptions. We perform numerical tests that suggest that by relaxing the typical requirement that the frequency dependence of the assumed intrinsic attenuation model be self-consistent across the full spectrum, significant improvement in the fidelity of the inversion results can be obtained in cases where the attenuation model assumed in the inversion differs substantially from the true subsurface behavior. We find that the size of the frequency bands used in this inversion approach is a useful hyperparameter controlling trade-off between crosstalk reduction and flexibility in coping with uncertain physics.

Efficient 3D localized elastic full-waveform inversion for time-lapse seismic surveys

2017 ◽  
Author(s):  
Shihao Yuan ◽  
Nobuaki Fuji ◽  
Satish Singh ◽  
Dmitry Borisov
Keyword(s):  
Waveform Inversion ◽  
Time Lapse ◽  
Full Waveform Inversion ◽  
Seismic Surveys ◽  
Full Waveform

Elastic Full Waveform Inversion With a Permanent Seismic Source ACROSS: Towards Hydrocarbon Reservoir Monitoring

2014 ◽  
Author(s):  
Mamoru Takanashi ◽  
Ayato Kato ◽  
Junzo Kasahara ◽  
Stefan Luth ◽  
Christopher Juhlin
Keyword(s):  
Waveform Inversion ◽  
Seismic Source ◽  
Full Waveform Inversion ◽  
Hydrocarbon Reservoir ◽  
Full Waveform ◽  
Reservoir Monitoring
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