3D seismic acquisition design for a large port

Seventy acreage grants were awarded in Australia during 2017, with net acreage increasing in the Canning, Bonaparte and Perth basins. More broadly, the area under licence within Australia has been reducing since 2014 and this trend continued with a reduction of just over 100 000 km2. Both 2D and 3D seismic acquisition levels decreased within Australia during 2017, on an absolute and on a percentage of worldwide basis. An uptick in exploratory drilling occurred in 2017 with the highest levels since 2014 being reached. Exploratory drilling levels in Australia also increased, in percentage terms, compared with those globally. Discovered volumes exhibited a sharp decrease with a total of 22 MMboe recoverable reserves added across 14 fields. In 2018, exploration activity is expected to increase with key wells planned in the North Carnarvon and Roebuck basins.

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Double-weave 3D seismic acquisition — Part 1: Sampling and sparse Fourier reconstruction

Geophysics ◽

10.1190/geo2015-0161.1 ◽

2015 ◽

Vol 80 (6) ◽

pp. WD143-WD162 ◽

Cited By ~ 1

Author(s):

Mostafa Naghizadeh

Keyword(s):

3D Seismic ◽

Seismic Acquisition ◽

Fourier Reconstruction

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Evaluation of seismic imaging for 3D seismic acquisition and processing

10.1190/1.1885628 ◽

1997 ◽

Author(s):

Steve Slawson ◽

David Gilson ◽

Chris Anderson

Keyword(s):

Seismic Imaging ◽

3D Seismic ◽

Seismic Acquisition

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3D surface-related multiple elimination using parabolic sparse inversion

Geophysics ◽

10.1190/1.2345050 ◽

2006 ◽

Vol 71 (6) ◽

pp. V145-V152 ◽

Cited By ~ 12

Author(s):

Ketil Hokstad ◽

Roger Sollie

Keyword(s):

Seismic Data ◽

Alternative Formulation ◽

Practical Implementation ◽

3D Seismic ◽

Systems Of Equations ◽

Production Scale ◽

Seismic Acquisition ◽

Sparse Inversion ◽

Multiple Elimination ◽

3D Seismic Data

The basic theory of surface-related multiple elimination (SRME) can be formulated easily for 3D seismic data. However, because standard 3D seismic acquisition geometries violate the requirements of the method, the practical implementation for 3D seismic data is far from trivial. A major problem is to perform the crossline-summation step of 3D SRME, which becomes aliased because of the large separation between receiver cables and between source lines. A solution to this problem, based on hyperbolic sparse inversion, has been presented previously. This method is an alternative to extensive interpolation and extrapolation of data. The hyperbolic sparse inversion is formulated in the time domain and leads to few, but large, systems of equations. In this paper, we propose an alternative formulation using parabolic sparse inversion based on an efficient weighted minimum-norm solution that can be computed in the angular frequency domain. The main advantage of the new method is numerical efficiency because solving many small systems of equations often is faster than solving a few big ones. The method is demonstrated on 3D synthetic and real data with reflected and diffracted multiples. Numerical results show that the proposed method gives improved results compared to 2D SRME. For typical seismic acquisition geometries, the numerical cost running on 50 processors is [Formula: see text] per output trace. This makes production-scale processing of 3D seismic data feasible on current Linux clusters.

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