Establishing the Gap Between Manually Picked and the Predicted Seismic Velocity

Vikash Tripathi , Michael Baron

Journal of Data Science and Intelligent Systems ›› 2025, Vol. 3 ›› Issue (1) : 50 -57.

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Journal of Data Science and Intelligent Systems ›› 2025, Vol. 3 ›› Issue (1) :50 -57. DOI: 10.47852/bonviewJDSIS32021566
RESEARCH ARTICLE
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Establishing the Gap Between Manually Picked and the Predicted Seismic Velocity
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Abstract

In exploration seismic, the seismic velocity is the key to delineating many physical properties of the subsurface. There are ways to calculate the velocity and, most popularly, it is picked manually for any seismic project. The velocity picking method has a few limitations when it comes to its quality, time consumption in this process, and the money spent during the whole work. The main objective of this paper is to provide velocity estimation of the respective region (three-dimensional seismic) derived from the velocity field available in the region from a few 2D seismic lines. The purpose is to avoid manual velocity picking errors and make the overall velocity in the region more geologically consistent with the surrounding data. Even more importantly, a seismic velocity volume assessment model created through this technique can also support any future 3D seismic imaging.

Keywords

seismic velocity / 2D / 3D / Geoscience Australia / velocity picking / marine

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Vikash Tripathi, Michael Baron. Establishing the Gap Between Manually Picked and the Predicted Seismic Velocity. Journal of Data Science and Intelligent Systems, 2025, 3 (1) : 50-57 DOI:10.47852/bonviewJDSIS32021566

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Acknowledgments

This work was supported by Velseis Pty Ltd, Brisbane. Velseis Pty Ltd is an Australian seismic exploration company providing a fully integrated range of seismic technologies.

Conflicts of Interest

Michael Baron is a specialist for Journal of Data Science and Intelligent Systems and was not involved in the editorial review or the decision to publish this article. The authors declare that they have no conflicts of interest to this work.

Data Availability Statement

The data that support the findings of this study are openly available in Australian Government at https://www.finance.gov.au/government/public-data/public-data-policy-initiatives.

Author Contribution Statement

Vikash Tripathi: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - original draft, Visualization. Michael Baron: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - review & editing, Supervision, Project administration.

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