Abstract

We have developed a technique based on binary waveforms (Walsh functions) to identify rock boundaries from well log signals of KTB-HB borehole data from the depth spanning 500.024-2996.794m. We have used three sets of borehole data: e.g. resistivity, gamma ray and seismic p-wave velocity from KTB borehole. Lithologically the main structural details comprised of paragneisses, metabasites and heterogeneous series. The algorithm is based on Walsh function based sequency domain filtering which augments to resolve the bed thickness. The minimum resolvable bed thickness is a function of cut of sequency. Our analysis demonstrates that the proposed boundary detection scheme is robust for resolving and understanding structural inhomogeneity over complex metamorphic basement terrains of KTB, Germany. However, understanding the generality the method can be easily applied to large number of well log data to explore the finer structural details in sedimentary environments and modeling of stochastic signature in petroleum geophysics.