PGS Petroleum Geo Services

Norway

PGS Petroleum Geo Services

Norway
SEARCH FILTERS
Time filter
Source Type

Spanos A.,Petroleum Geo Services | Bekara M.,PGS Petroleum Geo Services
75th European Association of Geoscientists and Engineers Conference and Exhibition 2013 Incorporating SPE EUROPEC 2013: Changing Frontiers | Year: 2013

The current approach for the quality control (QC) process of the swell noise filtering phase carries significant drawbacks. This abstract investigates the use of statistical techniques to improve the QC process. The main approach of this analysis is to combine attributes that capture properties of the filtering process and plot them against each other in order to identify "outliers". It is shown that cases which have been "badly" or not "properly" filtered will cluster away from the main group and may be detected using statistical methods such as clustering algorithms. Statistical techniques may potentially play an important role in the development of a data-driven automated QC platform. Copyright © (2012) by the European Association of Geoscientists & Engineers All rights reserved.


Bekara M.,PGS Petroleum Geo Services
75th European Association of Geoscientists and Engineers Conference and Exhibition 2013 Incorporating SPE EUROPEC 2013: Changing Frontiers | Year: 2013

In many seismic processing applications, such as filtering and interpolation, the input data is partitioned into small overlapping blocks that are processed separately and then merged to construct the final output data. Tapering the different blocks before merging is done to account for the overlap and to avoid visible artefacts related to the imprint of the blocking. While tapering is important, the design of blocking tapers is often done in a simplistic way. This paper proposes a method to design any N-dimension blocking taper with any amount of overlap. The proposed taper has the property that its aggregate sum across the data section is one, thus fold computation and normalization is avoided. In addition, the taper has some useful spectral features so it can also be used as a pre-Fourier transformation taper when the processing involves such transformation. Copyright © (2012) by the European Association of Geoscientists & Engineers All rights reserved.


Bekara M.,PGS Petroleum Geo Services
76th European Association of Geoscientists and Engineers Conference and Exhibition 2014: Experience the Energy - Incorporating SPE EUROPEC 2014 | Year: 2014

Swell noise attenuation is the first step in the processing sequence of marine seismic data. Often this filtering requires a good amount of testing to achieve optimal results, particularly when swell noise characteristics vary considerably along the survey. In the context of on-board processing this filtering is the bottleneck of the production sequence. It would be very useful both technically and economically if there exists a solution that automate this process. This paper proposes a data driven method for swell noise attenuation. It is based on improving the detection of swell noise by deriving its characteristics from the data. The filtering parameters are automatically tailored to suit the spatial and temporal frequency spread of swell noise in each filtered gather. When compared to a conventional method, it gives similar results but with much less testing effort. It is highly data adaptive and can be used to attenuate gathers with different noise level using the same minimal parameterisation.

Loading PGS Petroleum Geo Services collaborators
Loading PGS Petroleum Geo Services collaborators