Resistivity Image Borehole Flow Member Identification
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Solution Overview
Problem
Existing methods for identifying borehole flow members in complex formations, such as high-angle boreholes, are challenging due to limitations in differentiating between productive and non-productive zones, especially in thinly bedded formations and high-angle or horizontal wells, where traditional well log measurements are insufficient.
Innovation Solution
A computer-implemented method that generates a contrast-enhanced resistivity image using a cutoff value, determines a reservoir quality index (RQI), and employs machine learning to identify flow members, guiding well completion and sampling by determining optimal perforation directions based on resistivity image data and mud property data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional well log measurements are used, then the measurement process is simple, but the ability to differentiate between productive and non-productive zones in complex formations is insufficient
Solution Approach 1:
The patent replaces traditional mechanical well log measurement systems with electrical resistivity imaging technology. The imaging system uses electrical currents to create detailed resistivity images of the formation, enabling differentiation of flow members in complex formations including high-angle and horizontal wells, where traditional mechanical methods fail.
Solution Approach 2:
The patent transitions from one-dimensional well log measurements to two-dimensional resistivity imaging. This dimensional enhancement allows visualization of flow members across the borehole wall, providing spatial distribution information that distinguishes productive from non-productive zones in complex geological structures.
2Reliability
If formation testing is performed in high-angle boreholes, then formation data can be obtained, but the testing process becomes challenging and less reliable
Solution Approach 1:
The patent replaces mechanical formation testing operations with electrical resistivity imaging. The imaging system can acquire reliable formation data in high-angle and horizontal boreholes without the operational challenges associated with traditional formation testing tools, which require specific borehole orientations for proper tool positioning and data acquisition.
3Measurement precision
If contrast-enhanced resistivity imaging is applied, then flow member identification accuracy improves, but image processing complexity increases
Solution Approach 1:
The patent applies contrast enhancement and cutoff value processing to resistivity images before flow member identification. By pre-processing the images to enhance contrasts and segment different resistivity zones, the system simplifies subsequent flow member detection and improves identification accuracy in complex formations.
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
This approach effectively identifies and classifies productive hydrocarbon zones, replaces traditional formation testing, and reduces costs by accurately characterizing complex formations and high-angle wells, providing precise guidance for well completion and sampling.
Implementation Method 1
measures the conductivity of the earth formation surrounding the borehole
Data Source
AI summary
Example computer-implemented methods, media, and systems for identification of borehole flow members are disclosed. One example computer-implemented method includes receiving a resistivity image of an earth formation surrounding a borehole. Multiple flow members in the earth formation surrounding the borehole are identified based on the resistivity image. The identified multiple flow members are provided for well completion or sampling of the borehole.