Simultaneous Inversion of Shallow Seismic Data for Imaging of Sulfurized Carbonates

Cichostępski, Kamil; Dec, Jerzy; Kwietniak, Anna

doi:10.3390/min9040203

Cited by 12 publications

(14 citation statements)

References 41 publications

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“…For spectral decomposition a seismic volume with relative amplitude preservation (RAP volume) should be preferably used. Such processing would not modulate both amplitude relation and frequency relation [17,18]. More invasive processing sequences may introduce some frequency range [10] that will affect the response for a transition zone.…”

Section: Methodsmentioning

confidence: 99%

Seismic Signature of Transition Zone (Wolf Ramp) in Shale Deposits with Application of Frequency Analysis

2021

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The concept of a transition zone, known as Wolf ramp, was incorporated into the seismic interpretation of a 3D seismic survey situated within the Baltic Basin (Northern Poland). Within the survey area, there exists one formation, the Pasłęk Formation, (Lower Silurian—Llandovery), that exhibits a linear change of velocity. This characteristic—linear change of velocity—causes a reflection coefficient (i.e., seismic amplitude) produced at such a boundary to be frequency dependent. The Pasłęk Formation was considered to be a potential shale gas reservoir and it was necessary to determine its structural position and thickness. The formation is challenging for robust seismic interpretation on the migrated seismic section—it does not manifest a stable reflection coefficient, and the amplitude contrast associated with the borders of the formation is low. There is no impedance contrast that would produce a reflection of high amplitude at the top or base of the formation which excludes determination of the formation thickness, hence the estimation of reservoir volume. Within a 3D dataset, there exists only one well with complete logs that were used for the analysis. The Pasłęk Formation is a flat-lying layer that continues itself far beyond the 3D survey. It is present in wells in the vicinity of the study area. These wells lay within other 3D or 2D datasets, but the quality of the seismic is poor, and similar seismic analysis is not possible. Nevertheless, these wells were incorporated in the research to reason about the possible link between the existence of transition zone and mineral content. The method used for recognition of transition zone is spectral decomposition and spectral analyses. The integrated studies enabled us to find a link between the Wolf ramp and mudstone-claystone interval of the Silurian age and give a new example of a transition zone which is present in shale plays. The transition zone concept might be applied for shale plays identification and analysis.

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Section: Methodsmentioning

confidence: 99%

Seismic Signature of Transition Zone (Wolf Ramp) in Shale Deposits with Application of Frequency Analysis

2021

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“…Wyllie et al, 1956;Raymer et al, 1980;Anselmetti and Eberli, 1993) for inferring petrophysical properties (like porosity) from seismic data through impedance inversion (e.g. Marion and Jizba, 1997;Cichostępski et al, 2019). Indeed, as outlined by Wollner and Dvorkin (2018), a rock-physics model built from a given scale (i.e centimetric in the laboratory) may not be applicable to another scale (i.e.…”

Section: This Equality Of Dry Elastic Moduli At All Frequencies Is Onmentioning

confidence: 99%

Upscaling of elastic properties in carbonates: A modeling approach based on a multiscale geophysical data set

Fortin¹,

Bailly

Adelinet

et al. 2020

Preprint

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<p>Linking ultrasonic measurements made on samples, with sonic logs and seismic subsurface data, is a key challenge for the understanding of carbonate reservoirs. To deal with this problem, we investigate the elastic properties of dry lacustrine carbonates. At one study site, we perform a seismic refraction survey (100 Hz), as well as sonic (54 kHz) and ultrasonic (250 kHz) measurements directly on outcrop and ultrasonic measurements on samples (500 kHz). By comparing the median of each data set, we show that the P wave velocity decreases from laboratory to seismic scale. Nevertheless, the median of the sonic measurements acquired on outcrop surfaces seems to fit with the seismic data, meaning that sonic acquisition may be representative of seismic scale. To explain the variations due to upscaling, we relate the concept of representative elementary volume with the wavelength of each scale of study. Indeed, with upscaling, the wavelength varies from millimetric to pluri-metric. This change of scale allows us to conclude that the behavior of P wave velocity is due to different geological features (matrix porosity, cracks, and fractures) related to the different wavelengths used. Based on effective medium theory, we quantify the pore aspect ratio at sample scale and the crack/fracture density at outcrop and seismic scales using a multiscale representative elementary volume concept. Results show that the matrix porosity that controls the ultrasonic P wave velocities is progressively lost with upscaling, implying that crack and fracture porosity impacts sonic and seismic P wave velocities, a result of paramount importance for seismic interpretation based on deterministic approaches.</p><p>Bailly, C., Fortin, J., Adelinet, M., & Hamon, Y. (2019). Upscaling of elastic properties in carbonates: A modeling approach based on a multiscale geophysical data set. Journal of Geophysical Research: Solid Earth, 124. https://doi.org/10.1029/2019JB018391</p>

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“…An understanding of the impact of processing procedures on the interpretation of data is now being formed [2][3][4][5]. There are more and more works demonstrating the degree of this influence on the interpretation results, especially when solving detailed problems of interpreting sedimentary facies and their structural elements [6]. Such investigations are also relevant for analyzing the characteristics of bottom layers.…”

Section: Introductionmentioning

confidence: 99%

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

Mitrofanov

Goreyavchev

Kushnarev

2021

JMSE

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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.

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Simultaneous Inversion of Shallow Seismic Data for Imaging of Sulfurized Carbonates

Cited by 12 publications

References 41 publications

Seismic Signature of Transition Zone (Wolf Ramp) in Shale Deposits with Application of Frequency Analysis

Seismic Signature of Transition Zone (Wolf Ramp) in Shale Deposits with Application of Frequency Analysis

Upscaling of elastic properties in carbonates: A modeling approach based on a multiscale geophysical data set

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

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