Seismic Data Filtering for Hydrocarbon Seep Detection
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Solution Overview
Problem
Current hydrocarbon exploration techniques face challenges in accurately and cost-effectively detecting hydrocarbon seeps from the seafloor, as existing methods are hindered by noise from water-column layering, which interferes with the identification of bubble-plume signals in seismic data.
Innovation Solution
A method that involves analyzing seismic data to identify noise indicators and applying filters to enhance diffraction anomaly signals, allowing for the accurate determination of seepage locations by distinguishing between noise and bubble-plume signals, thereby improving the detection of hydrocarbon seeps in the water column.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high frequency sources and detectors are used to detect bubble plumes, then detection precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses existing low frequency seismic data as a substitute for expensive high frequency detection equipment. By processing and analyzing available low frequency seismic data with specialized algorithms, the method achieves bubble plume detection capability without requiring costly high frequency sources and detectors, thus resolving the contradiction between detection precision and device complexity
Solution Approach 2:
The patent replaces the mechanical/acoustic detection system (high frequency sources and detectors) with a data processing and analysis system. By using signal processing techniques, noise filtering, and pattern recognition algorithms on existing seismic data, the method achieves detection functionality without the physical detection hardware, reducing device complexity while maintaining detection capability
2Loss of information
If water column data is analyzed in seismic oceanography, then understanding of water column structure is improved, but noise from thermohaline boundaries interferes with bubble plume signal identification
Solution Approach 1:
The patent segments the seismic data analysis into distinct processing stages: first extracting water column structure information, then separately identifying and filtering thermohaline boundary signals, and finally detecting bubble plume anomalies. This segmentation allows the method to retain useful water column information while isolating and removing interfering noise signals, resolving the contradiction between information retention and signal identification accuracy
Solution Approach 2:
The patent converts the harmful thermohaline boundary noise into a useful diagnostic tool. By identifying characteristic patterns of thermohaline signals, the method uses these signals to guide the filtering process and enhance bubble plume detection. The previously harmful noise becomes a reference for improving detection accuracy, transforming the contradiction into a synergistic relationship
3Measurement precision
If additional high frequency detection devices are deployed, then bubble plume detection capability is improved, but exploration cost increases
Solution Approach 1:
The patent enables existing seismic data to serve the dual purpose of both standard subsurface imaging and water column bubble plume detection. By processing existing seismic data with enhanced algorithms, the method extracts additional information about hydrocarbon seeps without requiring additional detection devices or data collection campaigns, thus improving detection capability while avoiding additional exploration costs
Solution Approach 2:
The patent makes existing low frequency seismic data multi-functional by demonstrating its capability to detect both subsurface hydrocarbon structures and water column bubble plumes. This universality allows a single data set to serve multiple exploration objectives, eliminating the need for separate high frequency detection systems and reducing overall exploration costs while maintaining detection precision
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables more accurate and cost-effective location of hydrocarbon seeps before drilling, enhancing basin assessment and reducing exploration risks by filtering out noise from water-column layering, thus improving the confidence in hydrocarbon accumulation identification.
Implementation Method 1
enhance diffraction anomaly signals with respect to horizontal or nearly horizontal signals associated with the water-column
Data Source
AI summary
A method for detecting hydrocarbons is described. The method includes obtaining seismic data associated with a body of water in a survey region, analyzing the seismic data to identify at least one noise indicator to produce a noise indicator image; and determining seepage locations by comparing the at least one noise indicator image to the seismic data.