Downhole Dynamic Event Data Compression via Frequency-Domain Conversion
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Solution Overview
Problem
Current downhole data transmission technologies are unable to transmit extensive time-domain downhole dynamic event measurements to the surface in real-time, necessitating post-drilling evaluation and delaying real-time reactions to downhole events.
Innovation Solution
Converting time-domain downhole dynamic event data into frequency-domain data using digital filters like Auto-regressive (AR), Moving-average (MA), and Auto-regressive Moving-average (ARMA) filters, allowing for efficient data compression and transmission of digital filter coefficients for real-time reconstruction of the data at a remote computing system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If time-domain downhole dynamic event measurements are transmitted to the surface, then real-time monitoring capability is improved, but data transmission capacity and bandwidth requirements worsen due to the extensive size of time-domain records
Solution Approach 1:
The patent extracts only the essential spectral characteristics (frequency-domain representation) from the complete time-domain signal. By applying Fourier transforms and digital filtering, the system separates and transmits only the critical frequency components and filter coefficients rather than the entire time-domain record, enabling real-time transmission with reduced data volume.
Solution Approach 2:
The patent transforms the data from time-domain to frequency-domain representation through Fourier transforms and digital filtering operations. This parameter transformation changes the data structure from extensive time-series records to compact spectral representations characterized by frequency components and digital filter coefficients, significantly reducing transmission requirements while preserving essential information.
2Loss of information
If complete time-domain downhole dynamic event measurements are stored and evaluated after drilling, then data completeness is improved, but processing time and decision-making speed worsen
Solution Approach 1:
The patent performs preliminary processing of the downhole dynamic event measurements by converting time-domain data to frequency-domain representations and extracting digital filter coefficients while the BHA is still in the hole. This preliminary action prepares the data in a compact, transmittable format that can be quickly transmitted and evaluated after drilling, eliminating the need for lengthy post-drilling processing of raw time-domain records.
3Productivity
If digital filter coefficients are transmitted instead of complete time-domain data, then data transmission efficiency is improved, but data reconstruction complexity worsens at the remote computing system
Solution Approach 1:
The patent creates a simplified copy of the original time-domain signal in the form of digital filter coefficients and spectral characteristics. Rather than transmitting the complete original data, the system transmits this compressed representation that can be used to reconstruct or analyze the essential features of the downhole dynamic events, achieving efficient transmission with manageable reconstruction requirements.
Data Source
AI summary
Methods and systems for conducting downhole operations including collecting downhole dynamic event data using a downhole tool, wherein the downhole dynamic event data is time-domain data, processing the collected downhole dynamic event data using a computing system located downhole to convert the time-domain data into frequency-domain data, and extracting digital filter coefficients from the frequency-domain data.