Q-estimation using seismic interferometry from vertical well data

Journal Article (2018)
Author(s)

Feng Cheng (TU Delft - Civil Engineering & Geosciences, China University of Geosciences, Wuhan)

Deyan Draganov (TU Delft - Civil Engineering & Geosciences)

Jianghai Xia (Zhejiang University - Hangzhou)

Yue Hu (China University of Geosciences, Wuhan)

Jianhuan Liu (TU Delft - Civil Engineering & Geosciences)

Research Group
Applied Geophysics and Petrophysics
DOI related publication
https://doi.org/10.1016/j.jappgeo.2018.07.019 Final published version
More Info
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Publication Year
2018
Language
English
Research Group
Applied Geophysics and Petrophysics
Journal title
Journal of Applied Geophysics
Volume number
159
Pages (from-to)
16-22
Downloads counter
179

Abstract

The Green's function between two receivers can be retrieved using seismic interferometry (SI) by cross-correlation, as if one of the receivers were a virtual seismic source. When the wavefields experience intrinsic losses during propagation, non-physical arrivals (ghosts) would appear in the retrieved result. These ghosts are a result of internal reflections inside the different layers lying between the subsurface sources and the receivers. Recent studies have introduced a stable method to monitor the layer-specific changes in quality factor (Q) using the ghosts retrieved by SI applied to a horizontal-well data. However, drilling a horizontal well is much more complicated and expensive than drilling a conventional vertical well. Because of this, we show here how the Q-estimation method introduced for the horizontal well can be adapted to monitor layer-specific changes of Q using a vertical well. In order to improve the accuracy of the Q-estimation, we propose a grid-searching method to detect the optimal effective Q. We illustrate our method using numerically modelling data from a horizontal and a vertical well.