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The following is the specific calculation procedure of using the LM algorithm for automatic history matching.
Optimization of production performance in this paper is performed using the LM algorithm.
When using the LM algorithm to solve the inverse history matching problems, the smooth transition can be addressed successively between the steepest descent algorithm and the Newton algorithm (Barua et al. 1988).
Figures 8 and 9 display the estimated water oil and oil gas relative permeability curves, respectively, and the dashed lines denote the presumed water oil and oil gas relative permeability curves when the iteration was initialized using the LM algorithm for automatic history matching.
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The light microscope (LM) group consisted of 114 students and was taught using the LM system.
The ANCOVA was fit using the lm function.
Linear regression modelling was performed using the lm function.
Analyses were done using the lmer function in R [46].
The variance components were estimated using the lmer function.
In this study we use the Levenberg Marquardt (LM) algorithm.
The LM algorithm was then used to build a relationship between wind speed records for different concurrent and ever-increasing measurement programme time frames from the two active, same-level anemometers and then failure of one of the sensors was simulated.
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