Pre-stack Waveform Inversion of VHF Marine Seismic Reflection Data - A Case Study in Norway

Provenzano, Giuseppe; Vardy, Mark E.; Henstock, T.

doi:10.3997/2214-4609.201602147

Cited by 3 publications

(8 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…), whereas Figure d shows Poisson’s ratio curves for inside and outside the gas front derived using an FW inversion (Provenzano et al . ). The Poisson’s ratio change is a particularly intuitive gas indicator as the decrease from 0.485 to 0.470 (which is significant) reflects the increased sensitivity of P‐waves to small gas saturations through increased compressibility.…”

Section: Integrated Frameworkmentioning

confidence: 97%

“…Panel (d) compares Poisson’s ratio estimates made inside (red) and outside (black) the gas front using FW inversion (after, Provenzano et al . ).…”

Section: Integrated Frameworkmentioning

confidence: 97%

“…Traditionally, this is treated as a purely P‐wave problem; however, there has been some limited work on S‐wave attenuation (e.g., Lei and Morgan ). Full‐waveform (FW): full propagation modelling to describe how fast the seismic wavefield propagates, how energy is reflected and mode converted between P‐ and S‐waves at interfaces (including surface waves and refractions), and how energy is lost through attenuation. FW derives multi‐parameter subsurface models in terms of P‐ and S‐wave velocities, P‐ and S‐wave

Q

, and bulk density but comes at a significant computational cost (e.g., Holland and Dettmer ; Provenzano, Vardy and Henstock ). Often, due to the computational expense of FW, it is simplified to only consider velocity, either inverting for (e.g., Gerstoft ; Aleardi, Tognarelli and Mazzotti ) or explicitly deriving (e.g., Pinson et al .…”

Section: Characterization Of Sedimentsmentioning

confidence: 99%

“…), P‐ and S‐wave attenuations (e.g., Lei and Morgan ), changes in Poisson’s ratio from FW inversion (Provenzano et al . ), and a variety of downhole logging tools (e.g., Lu and McMechan ; Lee ).…”

Section: Integrated Frameworkmentioning

confidence: 99%

“…Quantitatively differentiating between different pore fluids (and their in situ pressure) is critical to a wide range of geological and geotechnical applications, such as mapping methane hydrates, foundation design, drilling hazard assessment (shallow water flows or shallow gas accumulations), organic carbon cycling/ burial, and anthropogenic carbon sequestration. Shallow gas, in particular, is hugely important, and therefore quantifying the in situ gas saturation has received a significant amount of research interest using a variety of different techniques, including vertical seismic profiling (e.g., Holbrook et al 1996), P-wave seismic reflection coefficients (e.g., Cevatoglu et al 2015) and interval velocities (e.g., Leighton and Robb 2008;Toth et al 2014Toth et al , 2015Vardy et al 2015), P-wave attenuation measurements (e.g., Morgan et al 2012Morgan et al , 2014Cevatoglu et al 2015), P-and S-wave attenuations (e.g., Lei and Morgan 2015), changes in Poisson's ratio from FW inversion (Provenzano et al 2016), and a variety of downhole logging tools (e.g., Lu and McMechan 2002;Lee 2004). Figure 6 shows two examples of these techniques.…”

Section: Pore Fluidsmentioning

confidence: 99%

See 4 more Smart Citations

State‐of‐the‐art remote characterization of shallow marine sediments: the road to a fully integrated solution

Vardy

Vanneste

Henstock

et al. 2017

Near Surface Geophysics

View full text Add to dashboard Cite

Current methods for characterizing near‐surface marine sediments rely on extensive coring/pene‐trometer testing and correlation to seismic facies. Little quantitative information is regularly derived from geophysical data beyond qualitative inferences of sediment characteristics based on seismic facies architecture. Even these fundamental seismostratigraphic interpretations can be difficult to correlate with lithostratigraphic data due to inaccuracies in the time‐to‐depth conversion of geophysical data and potential loss and/or compression of high‐porosity and under‐consolidated sea‐floor material during direct sampling. To complicate matters further, when quantitative information is derived from marine geophysical data, it often describes the sediments using terminology (e.g., acoustic impedance and seismic quality factor) that is impenetrable to geologists and engineers. In contrast, for hydrocarbon prospecting, reservoir characterization using quantitative inversion of geophysical data has developed enormously over the past 20 years or more. Impedance and amplitude‐versus‐angle inversion techniques are now commonplace, whereas computationally expensive waveform inversions are gaining traction, and there is a well‐developed interface between these geophysical and reservoir engineering fields via rock physics. In this paper, we collate and review the different published inversion methods for high‐resolution geophysical data. Using several case study examples spanning a broad range of depositional environments, we assess the current state of the art in remote characterization of shallow sediments from a multidisciplinary viewpoint, encompassing geophysical, geological, and geotechnical angles. By identifying the key parameters used to characterize the subsurface, a framework is developed whereby geological, geotechnical, and geophysical characterizations of the subsurface can be related in a less subjective manner. As part of this, we examine the sensitivity of commonly derived acoustic properties (e.g., acoustic impedance and seismic quality factor) to more fundamentally important soil properties (e.g., lithology, pore pressure, gas saturation, and undrained shear strength), thereby facilitating better integration between geological, geotechnical, and geophysical data for improved mapping of sediment properties. Ultimately, we present a number of ideas for future research activities in this field.

show abstract

Section: Integrated Frameworkmentioning

confidence: 97%

“…Panel (d) compares Poisson’s ratio estimates made inside (red) and outside (black) the gas front using FW inversion (after, Provenzano et al . ).…”

Section: Integrated Frameworkmentioning

confidence: 97%

Q

Section: Characterization Of Sedimentsmentioning

confidence: 99%

Section: Integrated Frameworkmentioning

confidence: 99%

Section: Pore Fluidsmentioning

confidence: 99%

See 3 more Smart Citations

State‐of‐the‐art remote characterization of shallow marine sediments: the road to a fully integrated solution

Vardy

Vanneste

Henstock

et al. 2017

Near Surface Geophysics

View full text Add to dashboard Cite

show abstract

Decimetric-resolution stochastic inversion of shallow marine seismic reflection data: dedicated strategy and application to a geohazard case study

Provenzano

Vardy

Henstock

2018

Geophysical Journal International

View full text Add to dashboard Cite

Characterization of the top 10-50 m of the subseabed is key for landslide hazard assessment, offshore structure engineering design and underground gas-storage monitoring. In this paper, we present a methodology for the stochastic inversion of ultra-high-frequency (UHF, 0.2-4.0 kHz) pre-stack seismic reflection waveforms, designed to obtain a decimetric-resolution remote elastic characterization of the shallow sediments with minimal pre-processing and little a priori information. We use a genetic algorithm in which the space of possible solutions is sampled by explicitly decoupling the short and long wavelengths of the P-wave velocity model. This approach, combined with an objective function robust to cycle skipping, outperforms a conventional model parametrization when the ground-truth is offset from the centre of the search domain. The robust P-wave velocity model is used to precondition the width of the search range of the multiparameter elastic inversion, thereby improving the efficiency in highdimensional parametrizations. Multiple independent runs provide a set of independent results from which the reproducibility of the solution can be estimated. In a real data set acquired in Finneidfjord, Norway, we also demonstrate the sensitivity of UHF seismic inversion to shallow subseabed anomalies that play a role in submarine slope stability. Thus, the methodology has the potential to become an important practical tool for marine ground model building in spatially heterogeneous areas, reducing the reliance on expensive and time-consuming coring campaigns for geohazard mitigation in marine areas.

show abstract

Estimation of Elastic Stress-Related Properties of Bottom Sediments via the Inversion of Very- and Ultra-High-Resolution Seismic Data

Pirogova

Тихоцкий

Tokarev

et al. 2019

Izv. Atmos. Ocean. Phys.

View full text Add to dashboard Cite

Pre-stack Waveform Inversion of VHF Marine Seismic Reflection Data - A Case Study in Norway

Cited by 3 publications

References 0 publications

State‐of‐the‐art remote characterization of shallow marine sediments: the road to a fully integrated solution

State‐of‐the‐art remote characterization of shallow marine sediments: the road to a fully integrated solution

Decimetric-resolution stochastic inversion of shallow marine seismic reflection data: dedicated strategy and application to a geohazard case study

Estimation of Elastic Stress-Related Properties of Bottom Sediments via the Inversion of Very- and Ultra-High-Resolution Seismic Data

Contact Info

Product

Resources

About