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

Pirogova, A.; Тихоцкий, С. А.; Tokarev, M.; Suchkova, A. V.

doi:10.1134/s0001433819110124

Cited by 9 publications

(6 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, a seismic monitoring system for the detection of overpressure zones in submarine sediments should be a combination of different sources. Recent advances in marine seismic devices provide examples of such multi-frequency shooting [48,49].…”

Section: Discussionmentioning

confidence: 99%

“…We calculate the zero-offset seismic response (i.e., the CDP sum after kinematic corrections were applied) of the 1D velocity and density profiles corresponding to the rock physics models discussed above (see Table 1 and Figures 5 and 6). There are three typical frequency intervals used in marine engineering seismic surveys to search for the pore pressure anomalies [48,49]: high resolution seismic (200-250 Hz central frequency), very high resolution seismic (400-600 Hz) and ultra-high resolution seismic (700-1500 Hz). They differ in penetration depth as well as in frequency (see [49]).…”

Section: Synthetic Seismic Datamentioning

confidence: 99%

See 1 more Smart Citation

On the Possibility of Detecting Pore Pressure Changes in Marine Sediments Using Bottom Seismometer Data

Tikhotskiy,

Bayuk,

Dubinya

2023

JMSE

View full text Add to dashboard Cite

This paper is devoted to the detection and analysis of overpressure zones in unconsolidated seafloor sediments using an ocean-bottom seismometer. The methodological aspects of creating a system of anomalous pore pressure zone detection in marine sediments are studied. The aim of this study is to establish the requirements for a pore pressure monitoring system necessary to successfully detect overpressure zones based on seismic response, and to analyze temporal changes in pore pressure distribution. Data from a certain offshore field are used as a basis from which to construct synthetic models of overpressure distribution in marine sediments. Synthetic models are constructed using specially developed rock physics models for unconsolidated saturated media. Seismic responses are calculated for these synthetic models to represent data that otherwise would be obtained from bottom seismometers placed on the seafloor. Resultant seismic responses are studied with respect to the detection of overpressure zones. Possibilities and limitations of bottom seismometer data are discussed. Requirements for the frequency bands of bottom seismometers are formulated based on the results that are obtained.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Synthetic Seismic Datamentioning

confidence: 99%

On the Possibility of Detecting Pore Pressure Changes in Marine Sediments Using Bottom Seismometer Data

Tikhotskiy,

Bayuk,

Dubinya

2023

JMSE

View full text Add to dashboard Cite

show abstract

“…Such an operator was calculated separately for each trace using the corresponding signal of the direct wave recorded on the same trace. As a result, a high resolution was achieved for the observed wave field, which made it possible to improve the quality of determining the structural elements of the medium [8]. It was assumed that as a result of the performed deconvolution, the variability of the initial impulse would also be fully eliminating.…”

Section: Data For Investigationsmentioning

confidence: 99%

“…Such investigations are also relevant for analyzing the characteristics of bottom layers. For example, when studying active sedimentary environments in shallow water flooded conditions [7] or in highprecision engineering studies [8].…”

Section: Introductionmentioning

confidence: 99%

Improving Accuracy in Studying the Interactions of Seismic Waves with Bottom Sediments

Mitrofanov

Goreyavchev

Kushnarev

2021

JMSE

View full text Add to dashboard Cite

The emerging tasks of determining the features of bottom sediments, including the evolution of the seabed, require a significant improvement in the quality of data and methods for their processing. Marine seismic data has traditionally been perceived to be of high quality compared to land data. However, high quality is always a relative characteristic and is determined by the problem being solved. In a detailed study of complex processes, the interaction of waves with bottom sediments, as well as the processes of seabed evolution over short time intervals (not millions of years), we need very high accuracy of observations. If we also need significant volumes of research covering large areas, then a significant revision of questions about the quality of observations and methods of processing is required to improve the quality of data. The article provides an example of data obtained during high-precision marine surveys and containing a wide frequency range from hundreds of hertz to kilohertz. It is shown that these data, visually having a very high quality, have variations in wavelets at all analyzed frequencies. The corresponding variations reach tens of percent. The use of the method of factor decomposition in the spectral domain made it possible to significantly improve the quality of the data, reducing the variability of wavelets by several times.

show abstract

“…Their multiple experiments demonstrated that the Clonal selection based on an intelligent parameter inversion algorithm for pre-stack seismic data could significantly enhance the inversion precision, and the correlation coefficient of the elastic parameters achieved via inversion is specifically high (Ajamy et al, 2014;Bi et al, 2023;Yan et al, 2020). Pirogova et al (2019) applied acoustic post-stack and pre-stack AVA inversions for ultra-high resolution marine seismic datasets. Tatsipie and Sheng (2021) presented pseudo-well logs for a portion of the upper Bakken employing recurrent neural networks (RNNs).…”

Section: Introductionmentioning

confidence: 99%

Estimation of elastic properties of sediments utilizing simulated annealing algorithm – a pseudo-wells generation approach

Khah,

Salehi,

Kianoush

et al. 2023

Preprint

View full text Add to dashboard Cite

The gas hydrate distribution model containing cement, or un-cement models, considerably affects elastic properties such as shear and bulk modulus. Thus, determining the distribution model in the hydrate-bearing sediments requires decreasing uncertainty in quantitative studies based on seismic velocities. Pre-stack seismic data include additional fluid information than post-stack seismic data, and the pre-stack inversion procedure has influential benefits such as stable outcomes, high resolution, and strong manageability. The amplitude-variation-with-angle (AVA) inversion along the bottom simulating reflector (BSR) utilizing compressional and Shear wave pre-stack analysis could be involved to evaluate hydrate and gas saturations at the pseudo well, especially in accretionary prism structures. It could change unconsolidated sediments' elastic properties and produce sharp bottom simulating. Pseudo-well generation is a title for estimating the elastic parameters of sediments in areas such as deep marine environments where drilled wells are absent (or sparse). This seismic angle-gather inversion problem has complex space and several local and global optimum solutions. In such cases, metaheuristic algorithms are a suitable tool for problem-solving. In this paper, the metaheuristic Simulated Annealing algorithm has been investigated, and the developed optimized algorithm has been presented. In order to analyze the performance of the algorithm, pre-stack seismic data is utilized as a benchmark. The conceptual model of this data includes the elastic parameter logs, which makes it an appropriate option for analyzing the performance and accuracy of the algorithm. According to the results, the generation of pseudo-wells with the algorithm mentioned earlier can be used to characterize hydrates-bearing sediments.

show abstract

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

Cited by 9 publications

References 26 publications

On the Possibility of Detecting Pore Pressure Changes in Marine Sediments Using Bottom Seismometer Data

On the Possibility of Detecting Pore Pressure Changes in Marine Sediments Using Bottom Seismometer Data

Improving Accuracy in Studying the Interactions of Seismic Waves with Bottom Sediments

Estimation of elastic properties of sediments utilizing simulated annealing algorithm – a pseudo-wells generation approach

Contact Info

Product

Resources

About