Automated Horizon Patch Extraction from Seismic Data
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Solution Overview
Problem
Traditional methods for interpreting seismic data are inadequate and time-consuming, especially for advanced workflows like reservoir characterization and stratigraphic studies, which require the consistent interpretation of a large number of seismic events in a seismic volume.
Innovation Solution
The application of network analysis techniques to seismic trace data for automatically extracting horizon patches, utilizing thickness attributes and parallel-processing capabilities to generate horizon patches across an entire seismic volume, enabling faster processing and more accurate subsurface structural mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual interpretation methods are used, then interpretation accuracy is maintained, but processing time becomes excessively long and productivity is low
Solution Approach 1:
The patent replaces manual mechanical interpretation methods with automated computer-based systems that use machine learning models and algorithms to identify and map seismic horizons, thereby dramatically increasing processing speed while maintaining or improving accuracy
Solution Approach 2:
The patent introduces an automated software intermediary system that acts as a bridge between raw seismic data and interpretation results, using trained machine learning models to automatically detect horizon patches and generate subsurface maps without requiring manual intervention for each feature
2Adaptability or versatility
If traditional auto-tracking techniques are used, then simple subsurface mapping is achieved, but advanced workflows like reservoir characterization cannot be handled
Solution Approach 1:
The patent creates a universal automated interpretation system that can handle multiple workflow types including simple subsurface mapping, reservoir characterization, and stratigraphic studies, making the system adaptable to various advanced workflows while maintaining high processing efficiency
Solution Approach 2:
The patent implements a dynamic system that can automatically adjust its interpretation parameters and methods based on the specific workflow requirements, allowing it to efficiently handle both simple mapping tasks and complex reservoir characterization workflows without manual reconfiguration
Data Source
AI summary
Systems and methods are provided for a horizon patch extraction process and in particular, to receiving seismic trace data of a plurality of seismic events of a subterranean volume, selecting a first seismic trace based on the seismic trace data of the plurality of seismic events, the first seismic trace including a plurality of seismic onsets, determining a depth, an amplitude, and a first thickness of a first seismic onset of the first seismic trace, determining a second thickness between the first seismic onset and a second seismic onset, determining a third thickness between the first seismic onset and a third seismic onset, and generating a horizon patch based on the depth, the amplitude, and the first thickness of the first seismic onset, the second thickness between the first seismic onset and the second seismic onset, and the third thickness between the first seismic onset and the third seismic onset.