Development of a Software Module for Fast Tracing of Horizons in a Seismic Cube Ua Lee Algorithm
https://doi.org/10.25205/1818-7900-2025-23-1-19-32
Abstract
For the assessment of mineral deposits and the identification of potential drilling zones using seismic data, it is necessary to build a consistent seismic stratigraphic model. The construction of such a model is carried out in several stages: fieldwork, initial data processing, calculation of transformed signals, and interpretation. Consistency in the interpretation results is achieved by adhering to fundamental stratigraphic principles. This work considers two approaches to automating the identification of reflection horizons in seismic cubes, considering prior information based on Lee algorithm. A distinctive feature of the proposed solution is its speed, low proportion of sequential execution, solution stability, consideration of constraints set by the user, and adherence to two stratigraphic principles (original horizontality and superposition). In a test seismic cube with 27951 traces, comprising 200 measurements with two user-defined horizons, the tracing of horizons was completed in 12 seconds using double the amount of RAM compared to the size of the processed data. The developed approach does not solve the problem of fault detection but can take their presence into account due to the ability to set fixed borders tracked by the user as function argument.
About the Authors
A. A. Vlasov
Novosibirsk State University; Institute of Automation and Electrometry SB RAS
Russian Federation
Russian Federation
Alexander A. Vlasov, Ph.D., Associate Professor – Novosibirsk State University, Engineer – Institute
of Automation and Electrometry SB RAS
Novosibirsk
N. S. Romanov
Novosibirsk State University
Russian Federation
Russian Federation
Nikita S. Romanov, Master’s Student
Novosibirsk
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Review
For citations:
Vlasov A.A., Romanov N.S. Development of a Software Module for Fast Tracing of Horizons in a Seismic Cube Ua Lee Algorithm. Vestnik NSU. Series: Information Technologies. 2025;23(1):19-32. (In Russ.) https://doi.org/10.25205/1818-7900-2025-23-1-19-32
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