Stratum Component Optimization via Dynamic Well Logging Response Equations
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Solution Overview
Problem
Existing well logging optimization methods have limited applicable ranges and poor processing precision due to fixed response equation models, which are not suitable for complex reservoirs and varying oil fields, and struggle to handle empirical rock physical analysis formulas.
Innovation Solution
The method involves parsing and storing well logging response equations in postfix form for dynamic calculation, using a stratum rock component model with additional constraint conditions, and applying an iteration algorithm like the Levenberg-Marquardt method to solve the optimization problem, allowing for user-defined equations and high precision processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If fixed well logging response equation models are used, then the method is simple to implement, but the applicable range is limited and processing precision is poor
Solution Approach 1:
The patent transforms fixed static response equation models into dynamic user-definable models. Users can dynamically input custom response equations based on specific reservoir characteristics and empirical formulas, making the system adaptable to different oil fields and complex reservoir types while maintaining ease of use through a standardized input interface.
Solution Approach 2:
The patent allows users to change the parameters and forms of response equations according to different geological conditions. By enabling customization of equation parameters and forms, the system can adapt to varying reservoir characteristics across different regions without sacrificing implementation simplicity.
2Ease of manufacture
If fixed well logging response equation models are used, then the method is simple to implement, but processing precision is poor
Solution Approach 1:
The patent enables precision improvement by allowing users to modify response equation parameters based on empirical rock physical analysis data and specific reservoir characteristics. This customization capability ensures high processing precision while maintaining ease of implementation through a user-friendly interface.
3Ease of operation
If predefined model formulas are used, then the method is easy to operate, but they are not applicable in all oil fields and stratums
Solution Approach 1:
The patent creates a universal system that can handle multiple types of well logging data and response equations across different oil fields and stratums. By providing a unified framework that accepts user-defined equations, the system achieves broad regional applicability while remaining easy to operate through consistent procedures.
Solution Approach 2:
The system transitions from static predefined formulas to dynamic user-definable models, allowing operators to adapt the response equations to specific regional characteristics while maintaining ease of operation through a standardized input process.
4Stability of the object's composition
If classical models are used, then the well logging response equations are established systematically, but their applicable ranges are limited in complex reservoirs
Solution Approach 1:
The patent maintains the systematic structure of classical models while adding dynamic flexibility. Users can systematically organize their custom response equations following established frameworks, ensuring model coherence while adapting to complex reservoir conditions through customizable parameters and forms.
Data Source
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AI summary
A stratum component optimization determination method and device, which fall within the technical field of oil-gas exploration well logging. The method comprises: according to core analysis data and geological conditions of a stratum to be detected, establishing a stratum rock component model, and determining a well logging curve determined by a participation model(11); determining a well logging response equation expression corresponding to the well logging curve determined by the participation model(12); analysing, recording and storing the well logging response equation expression(13); and analysing to the analysed response equation expression, establishing a target function of an optimization problem, and solving the target function through an iteration algorithm to determine an optimal component content of the stratum to be detected(14). The stratum rock component model is established, the corresponding well logging response equation expression is determined, and the well logging response equation expression is analysed through an expression analytical method and recorded and stored; and then, the target function of the optimization problem is established, and the optimal component content of the stratum to be detected is obtained through the iteration algorithm, so that not only can the self-defined well logging response equation of the user be subjected to optimization processing, but the processing precision is high.