Project Abstract

Hydrocarbon exploration is a critical component of the global energy landscape, and the accurate identification and assessment of potential reservoirs are essential for meeting the world's growing energy demands. In this context, seismic analysis and interpretation play a pivotal role in the successful exploration and development of hydrocarbon resources within sedimentary basins. This project aims to establish a comprehensive framework for seismic data analysis and interpretation, leveraging advanced techniques and technologies to enhance the efficiency and accuracy of hydrocarbon exploration in targeted sedimentary basins. Sedimentary basins are geological formations that have accumulated layers of sedimentary rocks over time, often containing valuable hydrocarbon deposits. The geological complexity and heterogeneity of these basins pose significant challenges in accurately identifying and characterizing potential hydrocarbon reservoirs. Seismic surveys, which involve the propagation of sound waves through the Earth's subsurface, provide valuable data that can be analyzed and interpreted to gain insights into the underlying geological structures and potential hydrocarbon accumulations. This project will focus on developing and implementing advanced seismic analysis and interpretation methodologies to support hydrocarbon exploration in selected sedimentary basins. The research will involve the integration of various geophysical, geological, and geochemical datasets to create a comprehensive understanding of the basin's characteristics and the distribution of hydrocarbon resources. One of the key aspects of the project will be the application of cutting-edge seismic imaging techniques, such as 3D seismic data processing, seismic inversion, and seismic attribute analysis. These techniques will enable the accurate delineation of structural and stratigraphic features within the sedimentary basins, as well as the identification of potential hydrocarbon traps and reservoir characteristics. In addition, the project will explore the integration of machine learning and artificial intelligence algorithms to enhance the interpretation of seismic data. By leveraging these advanced analytical tools, the research team aims to develop more efficient and accurate methods for identifying and characterizing hydrocarbon-bearing formations, ultimately reducing the risk and uncertainty associated with exploration activities. The project will also involve the integration of other geophysical and geological data, such as well log information, gravity and magnetic data, and geological models, to create a holistic understanding of the basin's geology and hydrocarbon potential. This integrated approach will enable the research team to validate and refine the seismic interpretation, leading to more reliable and informed decisions during the exploration and development phases. The successful completion of this project will contribute to the advancement of hydrocarbon exploration techniques in sedimentary basins, providing valuable insights and tools for the energy industry. The research findings will be disseminated through peer-reviewed publications, industry conferences, and collaborative efforts with relevant stakeholders, ensuring that the knowledge and best practices generated by this project are widely shared and adopted. Overall, this project is a critical step in enhancing the effectiveness and efficiency of hydrocarbon exploration in sedimentary basins, ultimately supporting the global energy transition and contributing to the sustainable development of the energy sector.

Project Overview