Seismic data interpretation using hough transformation technique

Oil exploration mainly targets to the locations that are closed or below the salt bodies, in the underlying geologic structure. With time the computational tools which can help in interpreting, analysing and estimating the geometry with its position has been increased. But still at many time the data which is gathered using these computational tools is recognized with the lack of resolution and poor structural identification which create severe technical and economic problems. Under such circumstances, seismic interpretation based only on the humaneye is inaccurate. In such a situation, for making good decisions and production planning all things depend on good-quality seismic images that generally are not feasible in salt tectonics areas. Therefore, a generalization of the Hough transform is applied to build parabolic, line, circular and arbitrary shapes that are useful in the idealization and recognition of salt domes from 2D seismic profiles. The contribution of this project is oriented in providing the seismic interpreters with semi-automatic computational tool. Hence, the paper focuses on image processing technique namely Hough transform along with sobel as well as canny algorithm which are applied to detect and delineate complex salt bodies from seismic exploration profiles. The novel image processing approach presented here will be helpful in the identification of complex geological features from seismic images.