Reconstruction of subsurface potential hydrocarbon reservoirs through 3D seismic automatic interpretation and attribute analysis

Abstract

Seismic texture is an emerging concept in the field of exploration geophysics that has not been adequately understood. Despite the recent development of several approaches and algorithms, each of them has exhibited certain limitations. This study aims to utilize 3D seismic automatic interpretation to reconstruct the subsurface potential hydrocarbon reservoirs. Our goal is to unveil the intricate structures in the subsurface of the F-3 block at the offshore region of the North Sea. The research involves the use of a relative geological model (RGT) framework to analyze seismic data, determine the presence of hydrocarbon deposits, and investigate trap structures. With high-density stratal slicing, we have linked the key surfaces to significant events and manipulated the data to enhance data recognition, detection, and characterization of detailed geological features. The uniqueness of the method allows for a faster and more efficient analysis process. The research aims to analyze 3D seismic data, gain insights into the local petroleum system, and assess seismic attributes to identify features. The results underscore the value of conducting a comprehensive analysis of geological complexities, which has made significant contributions to the fields of geophysics and hydrocarbon exploration. The methodology used in this study provides valuable insights for future research and evaluation endeavors. Ultimately, the new approach Streamline your workflow by dedicating more attention to incorporating expertise in the depositional history of the basin.