Non‐linear AVO equations and their use in 3‐parameter inversions

Kelly, Michael C.; Skidmore, Charles M.

doi:10.1190/1.1816584

Cited by 10 publications

(2 citation statements)

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“…In recent years three-parameter AVO-inversion has been investigated for the extraction of density information (e.g. Downton and Lines, 2001, as well as Kelly and Skidmore, 2001). It was observed that for reasonably accurate density estimates larger offsets/angles are required than normally used for two parameter inversion, preferably even postcritical events if present.…”

Section: Introductionmentioning

confidence: 99%

Spherical wave AVO modeling of converted waves in isotropic media

Haase

2004

SEG Technical Program Expanded Abstracts 2004

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The AVO-response of two-layer isotropic models for AVO-Classes 1 and 3 is investigated for converted waves. Zoeppritz's reflection coefficients and the Weyl-integral are utilized for the computations. Spherical wave results for R ps and R pp are compared with plane wave reflectivity. Depth dependence of spherical wave AVO is found to be strongest near critical angles of Class 1. There is some similarity between R ps and R pp for Class 1. Normalized Class 3 responses show no depth dependence. There is no similarity between Class 3 R ps and R pp . Attenuation reduces AVO-response magnitudes. R ps appears to be more sensitive to finite Q-factors than is R pp .

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Section: Introductionmentioning

confidence: 99%

Spherical wave AVO modeling of converted waves in isotropic media

Haase

2004

SEG Technical Program Expanded Abstracts 2004

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“…Seismic inversion is the most widely used technology for predicting oil-gas reservoirs today. Seismic inversion of elastic properties is one of the important seismic inversion methods, it uses Pre-stack CRP gather data, velocity data, and well data to invert various elastic parameters related to lithology and oil-gas properties, and is further used to predict rock physical properties and their oilgas bearing properties, it has good stability and high accuracy (Gardner et al, 1974;Gray D.1999;Han et al, 2018;Hamed et al, 2018;Heidari et al, 2013;Ji et al, 2014;Kelly et al, 2001;Liu et al, 2016;Ojha et al, 2021;Pan et al, 2016;Pedro et al, 2018;Sena et al, 2011;Smith et al, 1987;Son et al, 2018;Subhashis M.2001;Ursin et al, 1996;Zong et al, 2012). This paper is based on the physical intersection analysis of sandstone rocks in well LF35-1-1, searches for reservoir and hydrocarbon sensitive elastic parameters, and then describes the gas bearing reservoir morphology and internal structure to achieve accurate prediction of gas bearing properties of sandstone reservoirs.…”

Section: Introductionmentioning

confidence: 99%

Oil and gas prediction basing on seismic inversion of elastic properties in Chaoshan depression, south China sea

Guangjian,

Zhongquan,

Guanghong

et al. 2023

Front. Earth Sci.

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The marine Mesozoic is widely distributed in the northeastern waters of the South China Sea and is an important field for oil-gas exploration in the South China Sea. The Chaoshan Depression is the largest residual depression in this sea. At a previous well, LF35-1-1, no oil and gas have been discovered with then pre-drilling prediction techniques. Post-drill analysis shows that the physical properties of the Mesozoic reservoir are not favorable there. So, in accurate prediction of the oil-gas reservoirs is necessary. Since the drilling at the LF35-1-1, extensive surveys and studies have been carried out which shows a number of favorable trapping structures. In the middle low bulge of the Chaoshan Depression, the DS-A structures found with potential reservoirs, complete trap structures, and dual source hydrocarbon supply on both sides, making it the most favorable zone for oil-gas accumulation. We apply the state of art prediction techniques for it using pre-stack seismic raw gather. The sensitivity analysis results of reservoir physical properties indicate that the difference in P- wave velocity between sand and mudstone is 500 m/s, the difference in density is 0.02 g/cm3, and the Poisson’s ratio ranges between 0.11 and 0.33. The Mesozoic sandstone reservoirs in the Chaoshan Depression have characteristics of high velocity and low Poisson’s ratio, and the P-wave velocity, density, and Poisson’s ratio are the main sensitive parameters for predicting reservoir and its oil-gas bearing properties. The density inversion, P-wave impedance inversion, and S-wave impedance inversion jointly characterize the “wedge-shaped” sand body in the DS-A structural area, with a maximum thickness of over 400 m and an area of ∼130 km2. The overlap of the sand body contour map and Poisson’s ratio inversion results indicates that the “wedge-shaped” sand body is an oil-gas bearing sand body. It can be concluded that pre-stack elastic parameter inversion is an effective method for reservoir prediction in deep-sea no-well exploration areas. It has the characteristics of high signal-to-noise ratio, strong stability and reliability, and high accuracy, which is conducive to reduce the non-uniqueness and uncertainty of seismic inversion. The inversion results predict that the DS-A structure is an oil-gas bearing structure.

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