Application of wavelets in estimating dip angles and conductivities of Earth formation

Earth formations can be modeled as a layered medium with each layer having its own dip angle and conductivity. In a typical exploration environment, a wellbore (about 15 to 30 cms in diameter) is drilled to a depth that may extend to a few kilometers. Formation properties are measured using a sensor that moves along the wellbore trajectory. The sensor is remotely controlled from the surface. Formation resistivity is an important property, which is measured by a sensor consisting of several transmitters and receivers and operating at a frequency of a few MHz. Estimating dip angles provides valuable information in positioning the wellbore trajectory. We present a novel method for estimating dip angles and formation properties using a wavelet-based processing of well log data in conjunction with an inversion method.