Pressure Spectrogram Event Detection in Wellbores
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Solution Overview
Problem
Detecting and identifying events in subterranean formations using pressure spectrograms generated by downhole tools is challenging due to interference from various sources, making it difficult to discern specific details of events from the data.
Innovation Solution
A method and system that measure and generate pressure spectrograms, compare them to historical data, and use computing systems to determine the presence and details of events by analyzing pressure pulses in fluids within wellbores, incorporating a pump, pressure sensor, and computing system to differentiate event-related data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pressure spectrograms are generated from downhole tool data, then event detection capability is improved, but the ability to identify specific event details deteriorates due to interference and noise
Solution Approach 1:
The patent segments the pressure spectrogram analysis by dividing the frequency spectrum into multiple bands and analyzing each band separately. This allows the system to isolate and identify specific event characteristics from the overall complex signal, improving the ability to distinguish event details from noise while maintaining reliable detection capability.
Solution Approach 2:
The patent introduces an intermediary processing layer that compares current pressure spectrograms against a library of historical spectrograms and reference patterns. This intermediary comparison mechanism filters out noise and interference by matching against known event signatures, thereby improving event detail identification accuracy without compromising detection reliability.
2Reliability
If multiple frequency pressure data is collected and processed, then event detection reliability is improved, but system complexity and processing requirements increase
Solution Approach 1:
The patent performs preliminary action by pre-processing pressure data into spectrograms and creating a library of reference spectrograms and event patterns before actual event detection is needed. This preliminary preparation simplifies the real-time detection process, as the system only needs to compare against pre-computed references rather than processing raw multi-frequency data from scratch during events.
Solution Approach 2:
The patent uses copying by creating a library of historical pressure spectrograms and reference event patterns that can be stored and reused. Instead of reprocessing raw data for each event, the system copies and compares against pre-computed spectrogram templates, significantly reducing processing complexity while maintaining high detection reliability through pattern matching.
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
Effectively detects and identifies events in real-time, allowing for improved drilling operations and resource recovery by accurately distinguishing event data from noise and interference, enhancing the reliability of downhole tool signals.
Implementation Method 1
The downhole tool may be configured to transmit the data to the surface by mud pulse telemetry, which includes generating pressure pulses in the fluid (e.g., mud) in the wellbore. The pulses may be sensed and/or recorded at the surface by a sensor (e.g., a pump pressure sensor)
Data Source
AI summary
A method for detecting an event includes measuring a pressure of a fluid with a pressure sensor. The method also includes generating a pressure spectrogram based at least in part on the pressure. The method also includes comparing the pressure spectrogram to a plurality of historical pressure spectrograms. The historical pressure spectrograms have previously been determined to be related to one or more events. The method also includes determining that the pressure spectrogram is related to an event based at least partially upon the comparison.