Single ‐sensor recording — a case study from a mature field in the Partitioned Neutral Zone, Kingdom of Saudi Arabia and Kuwait

Rajab, Mohammad; Al-Hakim, Ibrahim; Garrity, John; Gallaway, Phil; Smart, Andy; Shabrawi, A.; Baaren, Peter van; Westcott, Ruth; Perrin, Tim

doi:10.1190/1.2370322

“…High-density seismic exploration has been developed in recent years in order to improve the quality of seismic data acquisition and processing techniques, which use a single-sensor recording, vibroseis alternating scanning and digital detector technologies (Rajab et al, 2006). High-density seismic exploration data with small temporal and spatial sampling intervals, and high folding numbers, eliminates the influence of the false frequency in processing, which improves the separation of the signal and noise in the 3-D FKK domain greatly.…”

Section: Introductionmentioning

confidence: 99%

3-D Butterworth Filtering for 3-D High-density Onshore Seismic Field Data

Liao

¹

,

Liu

²

,

Li

³

et al. 2018

JEEG

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Three-dimensional seismic survey is widely applied, but 3-D filtering technology has yet to be fully utilized for the analysis of seismic field data. The common approach is to first filter inline and then crossline. However, an effective 3-D filtering method is expected to eliminate coherent noise, such as the ground roll. We propose a 3-D Butterworth filtering method in the time-space domain. Firstly, a Butterworth-type filter in the frequency-wavenumber-domain is designed to suppress the linear noise with a specific apparent velocity. Secondly, transforming this filter to the time and space domain yields 3-D partial differential equations (PDEs), which are applied to suppress the linear noise. Factorizing the finite-difference equations in a different direction other than decreasing the 3-D PDEs to 2-D PDEs produces a highly accurate and efficient algorithm. Designing the 3-D Butterworth filter, selecting the filtering parameters, and showing its application to synthetic data and a 3-D high-density onshore seismic field data from a region in western China are discussed in detail. Numerical experiments with 3-D high-density onshore seismic field data demonstrate that it is more effective than the 3-D frequency-wavenumber-wavenumber (FKK) filtering method.

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“…High-density seismic exploration has been developed in recent years in order to improve the quality of seismic data acquisition and processing techniques, which use a single-sensor recording, vibroseis alternating scanning and digital detector technologies (Rajab et al, 2006). High-density seismic exploration data with small temporal and spatial sampling intervals, and high folding numbers, eliminates the influence of the false frequency in processing, which improves the separation of the signal and noise in the 3-D FKK domain greatly.…”

mentioning

confidence: 99%

Application of 3-D FKK Filtering in 3-D High-density Onshore Seismic Field Data

Liao

¹

,

Fu

²

,

Xu

³

et al. 2018

JEEG

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For linear noise such as seismic ground roll, 3-D frequency-wavenumber-wavenumber (3-D FKK) domain filtering suppression is better than 2-D frequency-wavenumber (F-K) domain filtering. In recent years, with the continuous development of computer processing speed and memory capacity, high-density data acquisition in seismic exploration has been widely applied in the hydrocarbon industry, opening up the application of 3-D FKK filtering methods. We applied the 3-D FKK filtering software to a 3-D high-density onshore seismic field dataset from a coal mine in western China. The case study demonstrates that the linearity of the noise in the field data is better represented by constructing the single shot records as a minimum dataset. Both theoretical synthetic models and the 3-D high-density onshore seismic field data numerical filtering experiments demonstrate that the feasibility of 3-D FKK filtering.

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