Porous Media Parameter Inversion Using Multi-Tool Data Constraints
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Solution Overview
Problem
Existing methods for determining parameters like apparent cementation factor and saturation exponent in geological formations are prone to errors due to inaccuracies in dielectric data, affecting the estimation of water saturation and wettability in oilfield exploration.
Innovation Solution
A method involving the inversion of data from multiple logging tools, such as dielectric, resistivity, and porosity tools, to constrain the estimation of apparent cementation factor, water saturation, and porosity, allowing for the determination of cementation and saturation exponents, thereby improving the accuracy of water saturation and wettability inference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dielectric data is used to determine apparent cementation factor, then the parameter can be obtained for reservoir modeling, but errors in measurement affect the accuracy of water saturation and wettability estimation
Solution Approach 1:
The patent combines data from multiple logging tools (dielectric, resistivity, NMR, porosity) to determine formation parameters. By merging these different data sources, the method compensates for errors in individual measurements and produces more reliable estimates of water saturation and wettability parameters.
Solution Approach 2:
The patent uses iterative inversion methods where the estimated parameters are fed back into the modeling process to refine the estimates. This feedback loop allows the system to adjust and improve the accuracy of apparent cementation factor and water saturation estimates by comparing predicted versus actual measurements.
2Measurement precision
If multiple logging tools are used to constrain inversion, then parameter accuracy improves, but the complexity of data processing and inversion increases
Solution Approach 1:
The patent develops a unified inversion framework that can handle multiple types of logging data (dielectric, resistivity, NMR, porosity) simultaneously. This multi-functional approach allows the same computational system to process diverse data types and extract multiple formation parameters, reducing overall system complexity despite the variety of inputs.
Solution Approach 2:
The patent transforms the complex multi-parameter inversion problem into a more manageable form by changing parameters and using constraints. The method reformulates the inversion to solve for apparent cementation factor and water saturation as primary parameters, with other parameters derived from these, simplifying the computational process.
Data Source
AI summary
Methods are provided for determining values for a set of parameters for multiple locations in a formation by inversion of formation data obtained from a plurality of different logging tools. The inversion of the formation data is constrained by certain formation data that characterizes each particular location in the formation as obtained from at least one of the plurality of different logging tools. In one embodiment, the set of parameters for each particular location in the formation includes an apparent cementation factor mn and a formation water saturation Sw, which can be derived by inverting dielectric data that characterizes the particular location in the formation as obtained from a dielectric logging tool. The methods can also be adapted to characterize a porous medium such as reservoir rock, particular with regard to laboratory analysis of porous media samples.