Multi-Stage Inversion for 3D Formation Estimation
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Solution Overview
Problem
Current 3D inversion methods for multi-component induction tools in oil and gas exploration are computationally expensive and resource-intensive, failing to provide accurate results in complex formations due to the complexity of invasion zones and requiring significant computational resources.
Innovation Solution
A multi-stage inversion scheme is implemented using a multi-component induction tool, which separates the logging data into processing windows, detects invasion zones, and applies radial one-dimensional or homogeneous zero-dimensional inversions to estimate initial values for 3D inversion, followed by a 3D inversion scheme to determine formation parameters efficiently, utilizing techniques like secant updates and parallel computing to accelerate Jacobian matrix computation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current 3D inversion methods are used for multi-component induction tools, then formation parameter estimation can be performed, but computational cost and resource consumption are excessively high
Solution Approach 1:
The inversion process is segmented into multiple stages: first performing radial 1D inversion or homogeneous 0D inversion to obtain initial values, then using these initial values in the subsequent 3D inversion. This segmentation reduces the computational burden by breaking down the complex 3D inversion into more manageable steps with lower computational requirements.
Solution Approach 2:
Radial 1D inversion or homogeneous 0D inversion is performed as a preliminary action before the main 3D inversion. This preliminary inversion provides accurate initial values that accelerate convergence and reduce the computational resources needed for the subsequent 3D inversion process.
2Measurement precision
If current 3D inversion methods are applied to complex formations with invasion zones, then formation structure can be analyzed, but the methods fail to provide accurate results due to complexity
Solution Approach 1:
The inversion methodology is segmented into radial 1D inversion and homogeneous 0D inversion stages, each designed to handle specific aspects of formation complexity. This segmentation allows the system to systematically address invasion zones and complex formation structures by processing them in manageable stages rather than attempting a single complex 3D inversion.
Solution Approach 2:
The radial 1D or homogeneous 0D inversion serves as a preliminary action that specifically addresses the complexities of invasion zones before the main 3D inversion. This preliminary processing simplifies the subsequent 3D inversion by providing corrected initial values that account for invasion zone effects.
3Productivity
If traditional inversion schemes are used, then processing can be completed, but processing time and computational resource requirements are excessive
Solution Approach 1:
The processing is segmented into multiple inversion stages with progressively increasing complexity. The radial 1D and homogeneous 0D inversions are computationally efficient and can be performed quickly to provide initial values, significantly reducing the time required for the subsequent 3D inversion and overall processing time.
Solution Approach 2:
The radial 1D or homogeneous 0D inversion is performed as a preliminary action that quickly generates accurate initial values. This preliminary processing step reduces the iterative requirements of the main 3D inversion, thereby reducing total processing time and improving overall productivity.
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 enables accurate and efficient estimation of complex 3D formation properties, reducing computational costs and improving the precision of formation parameter determination, particularly in the presence of invasion zones.
Implementation Method 1
induction logging can utilize electromagnetic signals that can be used to make measurements
Data Source
AI summary
Various embodiments include apparatus and methods to utilize signals acquired from a multi-component induction tool operating in a wellbore. The acquired signals can be correlated to an apparent conductivity of a formation and mapped to components of the apparent conductivity tensor conductivity. A multi-stage inversion scheme can be implemented to determine three-dimensional formation parameters from operating the multi-component induction tool. Additional apparatus, systems, and methods are disclosed.