Seismic Source Excitation Point Determination Using 3D Surface Models
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Solution Overview
Problem
In seismic exploration, the selection of excitation points for seismic sources is often based on experience, leading to subjective errors and incorrect arraying of seismic sources, resulting in inaccurate exploration results.
Innovation Solution
A method and device that utilize a three-dimensional surface model built using artificial intelligence recognition technology to determine the optimal excitation point by selecting a distribution region corresponding to a medium type, calculating a second mapping position, and using a UAV equipped with GPS and a laser rangefinder to accurately drop the seismic source at the target position.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If excitation point is selected based on experience, then operation simplicity is maintained, but measurement precision deteriorates due to subjective errors
Solution Approach 1:
The patent creates a three-dimensional surface model that copies and represents the actual geological surface. This digital model allows for precise excitation point selection based on medium type distribution without requiring complex physical measurement devices in the field, thus improving positioning accuracy while keeping the system manageable
Solution Approach 2:
The patent performs preliminary analysis by building the three-dimensional surface model and identifying medium type distribution regions before actual seismic source deployment. This advance preparation allows excitation points to be selected optimally based on geological conditions rather than relying on experience during field operations
2Reliability
If excitation point selection is based on experience, then device complexity is minimized, but reliability deteriorates due to incorrect arraying
Solution Approach 1:
The patent uses GPS positioning and laser rangefinders to provide real-time feedback on the actual position of the seismic source relative to the planned excitation point. This feedback loop ensures that the seismic source is correctly arrayed according to the optimized positions derived from the three-dimensional surface model, improving reliability while using relatively simple measurement devices
3Measurement precision
If traditional experience-based method is used, then ease of operation is maintained, but measurement precision deteriorates
Solution Approach 1:
The patent replaces the mechanical/experience-based selection process with an information-processing approach using artificial intelligence to analyze the three-dimensional surface model and automatically determine optimal excitation points. This substitution improves measurement precision by removing subjective factors while the automated calculations maintain ease of operation
Data Source
AI summary
The present invention provides a method and device for determining an excitation point of a seismic source. The method includes: determining, according to a selected medium type, a distribution region corresponding to the selected medium type in a three-dimensional surface model corresponding to a preset surface range, where a preset position of the excitation point of the seismic source is located in the preset surface range, and a first mapping position corresponding to the preset position of the excitation point of the seismic source is located in the three-dimensional surface model; determining a second mapping position in the three-dimensional surface model according to the first mapping position and the determined distribution region; and determining, according to the second mapping position, a target position of the excitation point of the seismic source corresponding to the second mapping position in the preset surface range.