Acoustic Reflection Image Compression for Real-Time Geosteering
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Solution Overview
Problem
Current drilling systems face challenges in transmitting acoustic reflection images in real-time due to the large data size and limited bandwidth, which hinders geosteering and other real-time applications in hydrocarbon recovery from complex wellbores.
Innovation Solution
The method involves automatically generating a compressed representation of acoustic reflection images by identifying features fitting specific patterns, such as amplitude peaks, using techniques like Hough transformations, and encoding these patterns for efficient transmission to the surface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If acoustic reflection images are transmitted in real-time for geosteering applications, then drilling efficiency and formation analysis capability are improved, but data transmission bandwidth requirements increase excessively due to large image data size
Solution Approach 1:
The patent extracts only the essential features from acoustic reflection images - specifically amplitude peaks and linear patterns representing bed boundaries - rather than transmitting complete images. This selective extraction reduces data volume while preserving geologically relevant information needed for real-time geosteering decisions.
Solution Approach 2:
Instead of transmitting original high-resolution acoustic images, the patent creates simplified representations by detecting amplitude peaks and fitting linear patterns to them. These pattern-based copies convey the essential structural information (bed boundaries and interfaces) in a compact format suitable for real-time transmission.
2Measurement precision
If complete acoustic reflection images are transmitted to the surface, then measurement precision and formation characterization accuracy are improved, but transmission time increases beyond real-time requirements
Solution Approach 1:
The patent extracts only the critical geometric features - amplitude peaks and linear patterns - that are essential for formation characterization. This extraction maintains measurement precision for bed boundary detection while dramatically reducing the data volume requiring transmission, enabling real-time operation.
Solution Approach 2:
The patent segments the acoustic reflection image data into discrete, meaningful components - amplitude peaks and linear patterns representing geological interfaces. This segmentation preserves the essential structural information needed for accurate formation characterization while reducing overall data transmission requirements.
3Speed
If acoustic reflection images are processed and transmitted in real-time, then geosteering decision-making speed is improved, but system complexity increases due to advanced processing algorithms
Solution Approach 1:
The patent extracts essential geometric features (amplitude peaks and linear patterns) using relatively simple detection algorithms rather than complex full-image processing. This approach achieves real-time processing speeds while maintaining the geometric accuracy needed for geosteering decisions.
Solution Approach 2:
The patent replaces complex mechanical/image processing systems with mathematical pattern recognition - specifically detecting amplitude peaks and fitting linear patterns. This substitution simplifies the processing system while maintaining the speed and accuracy required for real-time geosteering applications.
Data Source
AI summary
Methods, systems, devices, and products for performing well logging in a borehole intersecting an earth formation to obtain and transmit an acoustic reflection image of the formation. Methods include identifying a set of features in the acoustic reflection image substantially fitting a pattern, wherein the set of features corresponds to a portion of at least one reflecting structural interface of the formation; and using a representation of the pattern as the compressed representation of the acoustic reflection image. The features may be amplitude peaks in the acoustic reflection image, and the pattern may be a line segment therein that is obtained from the amplitude peaks. Identifying the set of features may include generating a binary image of the amplitude peaks.