Downhole Logging Image Interpolation Using Formation Dip Detection
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Solution Overview
Problem
Downhole resistivity imaging tools often leave gaps in the borehole circumference, limiting the accuracy of formation evaluation and hydrocarbon recovery due to incomplete data capture.
Innovation Solution
The method involves dip detection and interpolation to fill in the gaps in the partial logging images by identifying sinusoidal patterns, grouping peaks, fitting curves, and interpolating between dips to create a full 360-degree image of the formation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If downhole resistivity imaging tools are used to capture formation images, then formation evaluation capability is improved, but gaps in borehole circumference coverage occur reducing measurement completeness
Solution Approach 1:
The patent creates a complete 360-degree formation image by copying and interpolating data from captured partial images. The system reconstructs missing borehole circumference information by generating synthetic image data that fills gaps between captured sections, effectively creating a complete representation from incomplete measurements.
Solution Approach 2:
The patent introduces dip detection and image interpolation algorithms as intermediary processes between the partial captured images and the final complete formation image. These intermediary steps detect geological dip angles and use them to guide the interpolation process, filling gaps in a geologically consistent manner.
2Loss of information
If dip detection and interpolation methods are applied to fill gaps in partial logging images, then image completeness is improved, but processing complexity increases
Solution Approach 1:
The patent performs dip detection as a preliminary action before the interpolation process. By first identifying the dip angles and directions of geological formations from the partial captured images, the system establishes a geological framework that guides subsequent interpolation, making the complex processing more systematic and accurate.
Solution Approach 2:
The patent segments the image processing task into distinct steps: dip detection, gap identification, interpolation parameter calculation, and image reconstruction. This segmentation breaks down the complex processing into manageable modules that can be executed sequentially, improving both accuracy and computational efficiency.
Data Source
AI summary
A method for imaging a downhole formation. The method includes combining the captured images to generate a partial image of the formation, wherein the partial image includes captured images separated by gaps representing portions of the formation not captured with sensors what were disposed downhole. The method includes locating dips in the formation within the partial image and interpolating the partial image using the located dips within the partial image.