Digital computers are useful for the standard methods of well log computation, and provide a powerful tool for the development of new methods of well log analysis. Some of the techniques developed in other fields may be adapted to operations with logs. One of the most promising areas of study appears to lie in the application of Signal Theory techniques to log analysis. Signal Theory processes endeavor to extract and enhance qualitative and quantitative information contained in the signal itself, rather than treat the signal solely as a measuring device. For computer operations, a continuous signal is represented by a finite number of samples. The selection of the sample interval determines, to a large extent, the confidence which may be placed in a log reconstructed from the samples. The response of logging tools to formation conditions may be simulated by a computer program, using convolution and filtering techniques. Similar methods may be used to analyze well logs. The basic procedures are developed in a graphical and intuitive manner, rather than through a rigorous presentation. A number of existing applications, including formation log simulation, correlation, and inverse filtering, are reviewed and possible future applications are discussed.

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