Abstract: A method and product for reducing or eliminating noise in waveforms for the purpose of improving the subsequent acoustic log processing products. The present disclosure identifies the noise signature and removes the noise signature from the formation signal through a process of deconvolution. This product and method is particularly effective where the noise signal overlaps in the time domain and in the frequency domain with the formation signal.

Abstract: The present disclosure relates generally to well logging and measurement in subterranean formations and more particularly, the present disclosure relates to a system and method for identifying anisotropic formations, such as fractures and fracture patterns, in subterranean formations. The method uses waveforms transmitted from a monopole source. After finding the Root Mean Square energy from at least four quadrants, the energy data is normalized. At least one minimum RMS energy point is identified and the azimuth of that minimum is also identified. The azimuth and the minimum are instructive in defining fracture patterns and characteristics.