Nonlinear beamforming for enhancement of 3D prestack land seismic data

Nonlinear beamforming for enhancement of 3D prestack land seismic data Full article

Journal

Geophysics
ISSN: 0016-8033 , E-ISSN: 1942-2156

Output data

Year: 2020, Volume: 85, Number: 3, Pages: V283-V296 Pages count : 14 DOI: 10.1190/geo2019-0341.1

Authors

Bakulin Andrey ¹ , Silvestrov Ilya ¹ , Dmitriev Maxim ¹ , Neklyudov Dmitry ² , Protasov Maxim ² , Gadylshin Kirill ² , Dolgov Victor ³

Affiliations

1	Saudi Aramco, EXPEC Advanced Research Center, Dhahran, Saudi Arabia
2	Siberian Branch of the Russian Academy of Sciences, Institute of Petroleum Geology and Geophysics, Novosibirsk, Russia
3	Saudi Aramco, Geophysical Imaging Department, Dhahran, Saudi Arabia

We have developed nonlinear beamforming (NLBF), a method for enhancing modern 3D prestack seismic data acquired onshore with small field arrays or single sensors in which weak reflected signals are buried beneath the strong scattered noise induced by a complex near surface. The method is based on the ideas of multidimensional stacking techniques, such as the common-reflection-surface stack and multifocusing, but it is designed specifically to improve the prestack signal-to-noise ratio of modern 3D land seismic data. Essentially, NLBF searches for coherent local events in the prestack data and then performs beamforming along the estimated surfaces. Comparing different gathers that can be extracted from modern 3D data acquired with orthogonal acquisition geometries, we determine that the cross-spread domain (CSD) is typically the most convenient and efficient. Conventional noise removal applied to modern data from small arrays or single sensors does not adequately reveal the underlying reflection signal. Instead, NLBF supplements these conventional tools and performs final aggregation of weak and still broken reflection signals, where the strength is controlled by the summation aperture. We have developed the details of the NLBF algorithm in CSD and determined the capabilities of the method on real 3D land data with the focus on enhancing reflections and early arrivals. We expect NLBF to help streamline seismic processing of modern high-channel-count and single-sensor data, leading to improved images as well as better prestack data for estimation of reservoir properties.

Bakulin A. , Silvestrov I. , Dmitriev M. , Neklyudov D. , Protasov M. , Gadylshin K. , Dolgov V.
Nonlinear beamforming for enhancement of 3D prestack land seismic data
Geophysics. 2020. V.85. N3. P.V283-V296. DOI: 10.1190/geo2019-0341.1 WOS Scopus РИНЦ

Submitted:	May 19, 2019
Published print:	Jan 31, 2020
Published online:	Mar 31, 2020

Web of science:	WOS:000547373300068
Scopus:	2-s2.0-85089559333
Elibrary:	45366312

DB	Citing
Scopus	43
Web of science	22