Seismic Slip-Sweep Harmonic Attenuation
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Solution Overview
Problem
Current seismic data acquisition methods are costly and time-consuming, with a need to improve productivity without degrading the quality and reliability of processed results, particularly in seismic surveys for oil and gas exploration.
Innovation Solution
The method involves processing overlapping slip-sweep records by extracting individual sweep records, attenuating harmonics, and generating stacked traces using diversity stacking and high-productivity vibroseis analysis (HPVA) to reduce noise and improve data quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If shots are fired simultaneously or overlapping records are used to shorten survey duration, then productivity increases, but data quality and reliability may degrade due to harmonic interference and ambient noise
Solution Approach 1:
The seismic record is divided into multiple listening windows, each corresponding to a specific sweep segment. This segmentation allows selective processing of individual sweep segments within the overlapping record, enabling extraction of useful signals while isolating and removing harmonic interference from specific segments.
Solution Approach 2:
The method extracts individual sweep segments from the composite overlapping record by identifying and isolating reflections corresponding to each specific sweep segment. This extraction process separates desired seismic signals from unwanted harmonic interference and ambient noise, allowing clean stacking of extracted segments.
Solution Approach 3:
The method converts harmonic interference, which is normally harmful, into a useful indicator by using it to identify and isolate specific sweep segments. The harmonics serve as fingerprints that allow the system to distinguish between different sweep segments in the overlapping record, transforming a quality-degrading factor into a segment identification tool.
2Productivity
If conventional processing methods are used on overlapping records, then data acquisition speed improves, but harmonic attenuation and noise removal become insufficient
Solution Approach 1:
The method performs preliminary extraction and identification of individual sweep segments from the overlapping record before stacking. By pre-separating the sweep segments and removing their associated harmonics and noise in advance, the subsequent stacking process produces cleaner results without requiring complex post-processing filtering.
Solution Approach 2:
The processing method dynamically adapts to the specific structure of overlapping records by identifying the temporal positions and characteristics of individual sweep segments. The system adjusts its extraction and stacking parameters based on the actual distribution of sweeps in the record, optimizing noise removal while preserving signal integrity.
Data Source
AI summary
A method for processing seismic data including contiguous-sweep records corresponding to rotated sweep segments includes attenuating harmonics and generating stacked traces, each stacked trace being a weighted sum of traces corresponding to same location in the subsurface, based on seismic data from different seismic receivers, following plural shots at plural locations.