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- W2057015868 abstract "Seismic data provides bandwidth limited approximations of the Earth reflectivity. Its bandwidth is non-stationary; varying with time, space, angle and azimuth. Many seismic analysis techniques are not directly applicable to non-stationary data. For example, pre-stack amplitude variation with angle/offset (AVA/O) analysis requires data pre-conditioning to eliminate the angle dependence of bandwidth, restricting its application to a limited time window. To avoid these irritations we cast Shuey’s two-term AVA equation as an inverse problem, searching for best fitting intercept (I) and gradient (G) models simultaneously, given a set of dynamic wavelets. The dynamic wavelet set describes the non-stationary nature of input data, and the inversion is damped towards a seismically derived rock physics trend. We show that dynamic intercept-gradient inversion produces broader bandwidth results (without noise amplification) which cover the full time extent of the data. No data pre-conditioning is required and the inversion needs no input from well logs, making the method appropriate in exploration settings. Using the I and G volumes in extended elastic projections accentuates fluid related anomalies, as evidenced through blind comparison to well logs. These anomalies can be automatically identified, extracted as 3D geobodies, and ranked; allowing rapid screening of large seismic volumes." @default.
- W2057015868 created "2016-06-24" @default.
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- W2057015868 date "2013-01-01" @default.
- W2057015868 modified "2023-09-23" @default.
- W2057015868 title "Dynamic Intercept-gradient Inversion" @default.
- W2057015868 doi "https://doi.org/10.3997/2214-4609.20130470" @default.
- W2057015868 hasPublicationYear "2013" @default.
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