Resistivity Distribution Curves for True Vertical Depth Correlation
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Solution Overview
Problem
Conventional methods for analyzing resistivity data from boreholes are limited, unable to provide reliable primary analysis for downhole location and subterranean formation geology, necessitating the use of additional data types.
Innovation Solution
A method and system that utilize resistivity data to generate multiple distribution curves, correlate them with offset resistivity logs, identify shoulder beds, and adjust distribution curves to align true vertical depths, thereby improving the accuracy of subterranean formation analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional resistivity data analysis methods are used, then data collection is simple, but analysis reliability and accuracy are insufficient
Solution Approach 1:
The patent segments the continuous resistivity data into multiple distribution curves representing different formation zones. Each curve corresponds to a specific depth interval, allowing independent analysis of different geological layers while maintaining overall system reliability through comprehensive coverage.
Solution Approach 2:
The patent transforms traditional 1D resistivity logs into 2D distribution curves by adding a depth distribution dimension. This dimensional transformation enables visualization of resistivity variations across multiple zones simultaneously, improving analysis reliability without proportionally increasing processing complexity.
2Measurement precision
If only limited distribution curves are generated, then processing is fast, but downhole location analysis accuracy is insufficient
Solution Approach 1:
The patent generates a focused set of distribution curves for specific depth intervals that are most critical for downhole location determination. By concentrating processing resources on key zones rather than uniformly processing all data, the method achieves high measurement precision while maintaining acceptable processing speed.
Solution Approach 2:
The patent applies different analysis qualities and detail levels to different depth zones based on their importance for location determination. Critical zones receive more detailed curve generation and analysis, while less critical zones use simplified processing, optimizing the balance between accuracy and speed.
3Reliability
If resistivity data alone is used, then data collection is efficient, but confidence in downhole analysis is limited
Solution Approach 1:
The patent makes resistivity data multi-functional by extracting multiple distribution curves from a single data set. Each curve serves different analytical purposes (formation identification, depth correlation, location determination), allowing one data type to fulfill multiple functions that would traditionally require different data types.
Solution Approach 2:
The patent changes the parameter representation of resistivity data by transforming raw resistivity values into distribution curves with different statistical parameters (mean, standard deviation, depth weighting). This parameter transformation extracts additional information from the same data, increasing analysis confidence without requiring more data types.
Data Source
AI summary
The disclosure presents processes that utilize collected resistivity data, for example, from an ultra-deep resistivity tool located downhole a borehole. In some aspects, each slice of resistivity data can generate multiple distribution curves that can be overlaid offset resistivity logs. In some aspects, an analysis can be performed to identify trends in the distribution curves that can be used to identify approximate locations of subterranean formation surfaces, shoulder beds, obstacles, proximate boreholes, and other borehole and geological characteristics. As the number of distribution curves generated increase, the confidence in the analysis also increases. In some aspects, the number of distribution curves can be twenty, one hundred, one hundred and one, or other counts of distribution curves. In some aspects, the resistivity data can be used to generate two or more synchronized view perspectives of a specific location along the borehole, where each view perspective uses the same focus area.