Spectral Decomposition and Geomodel Interpretation - Combining Advanced Technologies to Create New Workflows

Schmidt, Ingelise; Lacaze, S.; Paton, Gaynor

doi:10.3997/2214-4609.20130567

Cited by 6 publications

(1 citation statement)

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“…The seismic interpreter then checks the auto-picked horizons and refined them locally inside the grid until an optimum solution is obtained. Such a method has already been tested on various case studies with different geologies (Gupta et al, 2008;Lemaire et al, 2010;Beller et al, 2012;Vidalie et al, 2012;Schmidt et al, 2013).…”

Section: Global Methods For Seismic-well Tiementioning

confidence: 99%

Global method for seismic-well tie based on real time synthetic model

Cubizolle¹,

Valding²,

Lacaze³

et al. 2015

SEG Technical Program Expanded Abstracts 2015

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This paper presents an original global method which computes a real time synthetic model from seismic data, during the well-tie process. Based on a relative geological time model resulting from global seismic interpretation and on synthetic seismograms, this technique intends to give a comprehensive view of the seismic-well tie and completes the standard workflow. Instead of correlating the synthetic log with the nearest seismic traces only in the vicinity of the well trajectory, a synthetic model is computed in real time by propagating the synthetic seismogram into the geological model. Minimizing the relative errors between the real seismic data and the synthetic model automatically enables the determination of the optimum time shift value to apply to the current time-depth relationship. Moreover, as stretching and squeezing the synthetic log is still controversial, the method allows to check and understand the global consequences of local change in the time-depth relationship. Such a technique can be used on a single well or on multi-well analysis. In the latter case, reference tied wells are used as hard constraints for the synthetic model. The method highlights any mismatches or polarity change and therefore is more sensitive to well-to-seismic mistie. Applied to the North Sea K05 block dataset, this approach has clearly shown successful results in improving the well calibration in complex geological areas. Using more advanced kriging techniques, the method also opens the path for future applications where rock properties or velocity models would be compared.

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Section: Global Methods For Seismic-well Tiementioning

confidence: 99%

Global method for seismic-well tie based on real time synthetic model

Cubizolle¹,

Valding²,

Lacaze³

et al. 2015

SEG Technical Program Expanded Abstracts 2015

View full text Add to dashboard Cite

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Seismic 3D full-horizon tracking based on a knowledge graph to represent the stratigraphic sequence relationship

He,

Zhou,

Zhang

et al. 2024

GEOPHYSICS

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Seismic 3D full-horizon tracking is a fundamental and crucial step in sequence analysis and reservoir modeling. Existing automatic full-horizon tracking approaches lack effective methods for representing the stratigraphic sequence relationships in seismic data. However, the inability to represent the stratigraphic sequence relationships fully and accurately makes it challenging to address discontinuous areas affected by faults and unconformities. To address this issue effectively, we propose a knowledge graph representing the stratigraphic sequence relationship, which enables the simultaneous extraction of all horizon surfaces once the stratigraphic distribution of the seismic data is obtained. In this method, horizon patches are generated, and the fault attribute is calculated, followed by the construction of an initial knowledge graph that characterizes the overall distribution of both horizon patches and faults. The initial knowledge graph comprises nodes and edges. Here, the nodes represent horizon patches, and their attributes cover the geographical location information of the patches and faults. Simultaneously, edges represent the relationship between horizon patches, including the stratigraphic sequence relationship, and their attributes illustrate the potential of connecting these patches. Furthermore, we developed a multi-layer knowledge graph based on the point set topology to fuse the nodes. This allows for continuous merging of horizon patches to obtain horizon surfaces across discontinuities with the constraints of fault attributes and stratigraphic sequence relationships in 3D space. Both synthetic and field examples demonstrated that the proposed method can effectively represent the stratigraphic sequence relationships and accurately track horizons dislocated in discontinuous areas with faults and unconformities.

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