P-P and S-S wave interpretation of a carbonate formation: A case study from the Arbuckle interval in Wellington field, Kansas

Gupta, Menal; DeAngelo, Michael V.; Hardage, Bob A.

doi:10.1190/segam2015-5834398.1

Cited by 13 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…SV–SV‐ and PP‐wave seismic data can be used for high‐precision prediction of stratigraphic S‐wave velocity and density (Zhang & Li, 2020). The joint inversion and interpretation of P‐ and S wave can further reduce the multi‐solution nature of reservoir prediction (Gupta et al., 2015; Hardage & Wagner, 2014). Roure and Russell (2019) used P‐, PS‐ and S seismic waves to invert in their respective time domains and used the velocity ratio of P‐ and S waves for conversion.…”

Section: Introductionmentioning

confidence: 99%

Seismic fluid identification method based on the joint PP‐ and SH–SH‐wave stochastic inversion

Lin,

Zhang,

Wang

et al. 2023

Geophysical Prospecting

View full text Add to dashboard Cite

Pre‐stack seismic inversion is an effective method for elastic parameter inversion using seismic data, which facilitates seismic fluid identification. However, pure PP‐wave inversion has issues of strong multi‐solution and limited prediction accuracy. Therefore, we propose a seismic fluid identification approach based on the joint PP wave and SH‐SH wave stochastic inversion. Firstly, the linearized SH‐SH wave amplitude variation with offset (AVO) approximation parameterized by shear modulus and density is derived. Numerical simulations demonstrate that the SH‐SH wave AVO approximation has a good accuracy. Reflection coefficient contribution analysis indicates that the new formulation has better parameter sensitivity to shear modulus and density than the PP wave AVO approximation derived by Russell, which helps to improve the inversion of shear modulus and density. On this basis, we construct a joint inversion equation of PP and SH‐SH waves for Russell fluid indicator, shear modulus, and density and present a novel joint stochastic inversion method based on the ensemble smoother with multiple data assimilation (ES‐MDA). Stanford VI‐E model tests reveal that the Russell fluid indicator factor, shear modulus, and density obtained from the joint PP wave and SH‐SH wave inversion have higher identification accuracy and smaller relative errors than those from pure PP wave inversion. Furthermore, field data tests indicate that this method has practical applicability in seismic fluid identification.This article is protected by copyright. All rights reserved

show abstract

Section: Introductionmentioning

confidence: 99%

Seismic fluid identification method based on the joint PP‐ and SH–SH‐wave stochastic inversion

Lin,

Zhang,

Wang

et al. 2023

Geophysical Prospecting

View full text Add to dashboard Cite

show abstract

“…In this study, in the light of their promising characteristics, we aimed to investigate both structural and dielectric properties of PPy and PT polymers. On the other hand, conducting PT and PPy have been utilized as an electromagnetic shielding (EMS) material [15][16][17][18]. However, they have some limitations in applications such as poor flexibility, high weight, etc.…”

Section: Introductionmentioning

confidence: 99%

“…However, they have some limitations in applications such as poor flexibility, high weight, etc. To overcome these problems, some researchers have tried different polymer based composites [15][16][17]. In this respect, we have chosen basalt as a doping material due to its remarkable advantages, such as thermal stability, EMS property etc.…”

Section: Introductionmentioning

confidence: 99%

Structural analysis and dielectric relaxation mechanism of conducting polymer/volcanic basalt rock composites

Bulgurcuoğlu

Karabul

Kılıç

et al. 2019

Materials Science-Poland

View full text Add to dashboard Cite

In this work, polypyrrole and polythiophene conducting polymers (CPs) have been synthesized and doped with volcanic basalt rock (VBR) in order to improve their dielectric properties for technological applications. The structure and morphology of the composites with different VBR doping concentrations were characterized by FT-IR and SEM analyses. The best charge storage ability was achieved for maximum VBR doping concentration (50.0 wt.%) for both CPs. Dielectric relaxation types of the composites were determined as non-Debye type due to non-zero absorption coefficient and observation of semicircles whose centers were below Z axis at the Nyquist plots. It was also ascertained that VBR doping makes the molecular orientation easier than for non-doped samples and reduced energy requirement of molecular orientation. In addition, AC conductivity was totally masked by DC conductivity for all samples at low frequency.

show abstract

Seismic shear wave noise suppression and application to well tie

Sun,

Liu,

Zhang

et al. 2024

Journal of Geophysics and Engineering

View full text Add to dashboard Cite

Seismic shear waves have been employed in oil and gas exploration for decades. A 2D seismic shear wave inline was acquired in Sanhu area, located in the Qaidam Basin in western China. Although the acquired shear wave data exhibits high resolution and comparable bandwidth to the compressional wave, it is contaminated by various types of noise, including linear noise, single-frequency noise, and especially internal multiples. Internal multiples seriously compromise the primary reflections at both near-offset and far-offset and are difficult to be suppressed. This paper presents a case study of noise attenuation for the seismic shear wave. Firstly, single-frequency noise and linear noise are attenuated through filtering methods. Then, two methods (the Radon transform and the frequency-wavenumber (F-K) filtering) are evaluated for their effectiveness in multiple suppression and amplitude preservation. The results indicate that both methods successfully reduce long-period multiples at far-offset, enhancing the signal-to-noise ratio. We show that F-K filtering retains the characteristic ‘strong-weak-strong’ amplitude variation in the SV-SV wave data gather, making it preferable for subsequent AVO (amplitude variation with offset) analysis and inversion. Finally, a wave-equation-based MSI (multiple suppression inversion) method is used to suppress near-offset internal multiples. This involves iteratively predicting internal multiples and adaptively subtracting them from the original data. Stacked sections of different offsets are compared to demonstrate de-multiple result, and the result is also validated by the improvement of well calibration with the seismic shear wave data.

show abstract

P-P and S-S wave interpretation of a carbonate formation: A case study from the Arbuckle interval in Wellington field, Kansas

Cited by 13 publications

References 10 publications

Seismic fluid identification method based on the joint PP‐ and SH–SH‐wave stochastic inversion

Seismic fluid identification method based on the joint PP‐ and SH–SH‐wave stochastic inversion

Structural analysis and dielectric relaxation mechanism of conducting polymer/volcanic basalt rock composites

Seismic shear wave noise suppression and application to well tie

Contact Info

Product

Resources

About