Borehole Seismic Waveform Compression for Mud Pulse Telemetry
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Solution Overview
Problem
Current seismic while drilling (SWD) technologies face challenges in accurately transmitting and processing seismic waveforms due to bandwidth constraints of mud pulse telemetry systems, leading to errors in well placement and target identification, especially in areas with scarce well information.
Innovation Solution
The implementation of borehole seismic waveform compression techniques, which adaptively filter, sample, and quantify seismic waveforms, allowing for efficient storage and transmission of digitized waveforms, enabling real-time processing and visualization without significantly impacting other drilling operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all collected waveforms are transmitted to the surface for processing, then measurement precision is improved, but bandwidth constraints of mud pulse telemetry systems make transmission infeasible
Solution Approach 1:
The patent extracts only the essential features and parameters from the full seismic waveforms for transmission to the surface, rather than transmitting complete waveform data. This selective extraction of critical information maintains measurement precision while dramatically reducing the data volume that must be transmitted through bandwidth-constrained mud pulse telemetry systems.
Solution Approach 2:
The patent transforms the seismic waveform data by changing its parameter representation - converting full-time-domain waveforms into compressed parameter sets or feature vectors that capture the essential seismic information. This parameter transformation enables accurate seismic analysis with significantly reduced data transmission requirements.
2Productivity
If full waveforms are transmitted and processed in real-time, then productivity is improved, but device complexity increases due to processing requirements
Solution Approach 1:
The patent performs preliminary compression and feature extraction of seismic waveforms at the downhole source before transmission to the surface. By pre-processing the data in the field and extracting essential parameters upfront, the system achieves real-time productivity without requiring complex processing equipment at the surface, thereby reducing overall device complexity.
3Quantity of substance
If compression is applied to reduce data volume, then bandwidth utilization is improved, but waveform quality may deteriorate
Solution Approach 1:
The patent applies different compression strategies to different portions or features of the waveform data based on their relative importance. Critical seismic parameters and high-value information are preserved with minimal compression, while less critical data undergoes more aggressive compression. This localized quality preservation maintains waveform accuracy for essential measurements while achieving overall data reduction.
Data Source
AI summary
An illustrative seismic while drilling system includes a drill string having at least one seismic sensor that can be employed to detect seismic signals during pauses in the drilling process, e.g., when extending the length of the drill string. An embedded processor digitizes a signal from the seismic sensor to obtain a digital waveform and processes the digital waveform to derive a compressed waveform representation for storage or transmission. Compression is provided by adaptively reducing the sampling rate and quantization resolution subject to one or more quality constraints including, e.g., error in first break timing, error in first break sign, mean square error, and bit count. Reasonably good representations of the received acoustic waveforms can be achieve with less than 200 bits.