Marker Depth Determination via Well Log Correlation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional systems fail to accurately determine the location of mineral deposits, particularly oil wells, and calculate marker depths, leading to inaccuracies in geological modeling.
Innovation Solution
A computerized system is developed with modules to determine well positions, marker depths, and functional values, utilizing gradient vectors and iterative processes to improve marker depth calculations and smoothing techniques for enhanced accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional systems are used for determining well positions and marker depths, then the system complexity is low, but the measurement precision of marker depths and the reliability of geological models are insufficient
Solution Approach 1:
The system segments the geological modeling process into distinct functional modules: a module for determining well positions, a module for determining marker depths, and a module for evaluating functionals. Each module processes specific aspects of the data independently, allowing for specialized algorithms in each segment while maintaining overall system coherence through standardized data interfaces.
Solution Approach 2:
The system introduces an intermediary evaluation functional that acts as a mediator between raw well log data and final geological models. This functional evaluates the quality and consistency of determined marker depths by comparing correlated features across multiple wells, providing an additional verification layer that improves measurement precision without requiring direct modification of the core determination algorithms.
2Reliability
If conventional correlation methods are used for well logs, then the processing speed is fast, but the reliability of mineral deposit location determination is insufficient
Solution Approach 1:
The system implements feedback mechanisms where the evaluation functional continuously assesses the quality of correlated marker depths across wells. When inconsistencies are detected, the system adjusts the correlation parameters and re-evaluates the results, creating a closed-loop process that progressively improves the reliability of mineral deposit location determination while maintaining automated operation.
Solution Approach 2:
The system performs preliminary correlation of well logs using standard methods to establish initial marker depth estimates before applying the more complex evaluation functional. This preliminary action provides a starting point that guides subsequent refinement processes, reducing the computational burden of achieving high reliability while maintaining processing efficiency.
3Manufacturing precision
If simple marker depth calculation methods are used, then the computation time is short, but the manufacturing precision of geological models is insufficient
Solution Approach 1:
The system employs dynamic processing where the level of computational detail is adjusted based on the specific well characteristics and data quality. For wells with clear, unambiguous log features, simpler calculation methods are used. For wells with complex or ambiguous features, the system automatically applies more sophisticated correlation and evaluation techniques, optimizing the balance between computation time and model accuracy for each individual case.
Data Source
AI summary
System for building a geological model of oil or other mineral deposit. The system determines functionals represented by the sum of coefficients of correlation for a set of well log curves. A technical result is the improvement of the accuracy of evaluating parameters that are used to build geological model of the location of oil or other deposits. The system makes it possible, given set of markers, chosen as initial solution and to calculate their depths at each well to ensure the best total correlation. For any marker in the set, functional is determined, represented by the sum of correlation coefficients for the set of well log methods for pairs of wells located within specified distance from one another. Partial derivatives are evaluated for this functional, and the vector thus obtained is smoothed and used to search for a larger value of the functional within certain segment along this vector.