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| Optimized Design for Sensor Parameters for Electromagnetic Wave Propagation in Logging While Drilling |
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Abstract: Electromagnetic wave propagation is one of the most important method of logging while drilling. The formation medium information is obtained through the amplitude ratio and phase difference of the electromagnetic wave. Different logging response characteristics can be generated by different frequency, different source spacing. Detection efficiency can be improved by selecting proper sensor parameters. Finite Element Method(FEM) is used to analyze the forward problem for inhomogeneous formation. Vertical resolution and radial exploration depth are calculated. The optimized design is achieved by using the neural network. The functions of vertical resolution and radial exploration depth against formation resistivity, frequency and source spacing are calculated by using FEM and neural network to obtain the optimized parameters of sensor. It is shown that the forward simulation results agree well with the results calculated by the neural network, with errors in an acceptable range. The neural network is an effective auxiliary method for optimized designing, which can reduce the forward simulation calculation time. Formation resistivity can be effectively reflected through the use of the new design parameters.
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Received: 21 July 2010
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2010, Vol. 28 
