Automated geometry extraction from 3D seismic data

Borgos, Hilde Grude; Skov, T.; Randen, T.; Sønneland, L.

doi:10.1190/1.1817590

Cited by 43 publications

(9 citation statements)

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“…There is currently no automatic merge of the disconnected (or nonoverlapping) patches, which correspond to the same seismic event. The patch extraction method proposed by Borgos et al (2003) and Monsen et al (2007), based on attribute classification instead of simple signal correlations, could be useful to improve that point. However, it is probably much more time consuming.…”

Section: Patch Extraction and Filteringmentioning

confidence: 99%

“…Dip-driven methods (e.g., de Groot et al, 2006;Lomask et al, 2006;Guillon et al, 2013) use local dip and azimuth information at each grid position within the volume. Horizon-patch methods (e.g., Borgos et al, 2003;Monsen et al, 2007) are based on the classification of the topological relationships between small surfaces of similar seismic attributes. Global optimization methods (e.g., Pauget et al, 2009) minimize a cost function built from links between seismic samples.…”

Section: Introductionmentioning

confidence: 99%

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Merging chronostratigraphic modeling and global horizon tracking

Labrunye

Carn

2015

Interpretation

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We have determined to combine the automatic interpretation of horizons in a seismic cube with a space/time framework to construct a chronostratigraphic model that matched seismic events and could be used later, without having to rework it in reservoir modeling and seismic characterization. A large number of single seismic events were automatically extracted from the cube as horizon patches. Each patch was associated to an individual isogeologic time constraint. An optimization process then proposed a geologically coherent model in the volume, filling the gaps in the area where no patch was extracted, and taking into account additional geologic information, such as unconformities, fault displacement, or well information. Furthermore, this process generated a seismic flattened volume used to check the quality of the model and revealed some geologic features such as unpicked faults, channels, lobes, and splays. We evaluated a use case in which this method was successfully tested on a complex faulted data set.

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Section: Patch Extraction and Filteringmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Merging chronostratigraphic modeling and global horizon tracking

Labrunye

Carn

2015

Interpretation

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“…Among methods developed to estimate fault throws are those described by Borgos et al (2003), Aurnhammer and Tönnies (2005) and Admasu (2008).…”

Section: Introductionmentioning

confidence: 99%

Fault surfaces and fault throws from 3D seismic images

Hale

2012

SEG Technical Program Expanded Abstracts 2012

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A new method for processing 3D seismic images yields images of fault likelihoods and corresponding fault strikes and dips. A second process automatically extracts from those images fault surfaces represented by meshes of quadrilaterals. A third process uses differences between seismic image sample values alongside those fault surfaces to automatically estimate fault throw vectors. While some of the faults found in one 3D seismic image have an unusual conical shape, displays of unfaulted images illustrate the fidelity of the estimated fault surfaces and fault throw vectors.

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“…The code uses quantitative parameters, such as amplitude and length of wavelets in individual traces, to search for continuities in the aspect of neighboring traces and compose the most probable continuous reflectors, leading to an easier identification of the sedimentary structures, and thus facilitating geological interpretation. Previous similar approaches focused on sedimentary basin-scale features and automated tracing of 3D surfaces in the dataset (Borgos et al 2003, Kumar & Sain 2018, Shafiq et al 2018, whereas the present work proposes the application of an open code solution tailored to high-resolution seismic data and to the interpretation of sedimentary structures. SI can help to reduce the bias of subjective evaluation and to find where reflectors continuity lies within a given dataset as well as can be used as a tool for evaluating the quality of processing routines, since it enhances the information provided by the respective routine.…”

Section: Introductionmentioning

confidence: 99%

Interpretation software applied to the evaluation of shallow seismic data processing routines in fluvial deposits

et al. 2019

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High-resolution seismic surveys have been successfully applied in the study of active sedimentary environments in shallow submerged settings, particularly improving the interpretation of sedimentary facies and architectural elements that characterize fluvial rock records. Nevertheless, specific data processing workflows to emphasize sedimentary structures have not been proposed or tested, so that interpretation currently relies on the subjective opinion of individual interpreters, which might lead to biased conclusions. Aiming at the construction of a less biased data processing workflow, we developed a software that analyzes seismic data and performs standardized interpretation by linking individual seismic traces to generate interpreted reflector lines. A dataset acquired with boomer continuous seismic profiler in the sedimentary bed of the Amazonas river in Brazil was processed with a typical sequence of filter and gain (using Seismic UNIX software), as well as a routine of trace interpolation written in GNU Octave. The application of the Standardized Interpreter at different stages of processing enabled the comparison of the resulting interpretation scenarios in terms of the representation of geometries related to internal sedimentary structures, thus leading to the proposition of a workflow adapted to the specific needs of sedimentary structure interpretation from seismic data.

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Automated geometry extraction from 3D seismic data

Cited by 43 publications

References 0 publications

Merging chronostratigraphic modeling and global horizon tracking

Merging chronostratigraphic modeling and global horizon tracking

Fault surfaces and fault throws from 3D seismic images

Interpretation software applied to the evaluation of shallow seismic data processing routines in fluvial deposits

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