Modern Reservoir Characterization : Integrating Artificial Intelligence (AI) with Traditional Methods

During this workshop, participants will develop a more comprehensive grasp of the geophysical theory of seismic inversion and explore advanced seismic reservoir characterization techniques. Discover the essential steps in the seismic reservoir characterization workflow using machine learning, covering data processing to inversion analysis. Acquire valuable knowledge applicable to your everyday projects.
In classical reservoir characterization, it is commonly assumed that the reservoir exhibits both elastic and hydraulic isotropy. However, real reservoirs often exhibit anisotropic characteristics and spatial heterogeneity on multiple scales. Relying solely on core and log data may not accurately represent the larger reservoir volume. Therefore, the most effective way to accurately analyze the physical properties of most actual reservoirs, across their entire volume, involves utilizing advanced machine learning methods for acquired and interpreted seismic data.
Workshop Objectives
This workshop aims to offer Exploration & Development professionals the chance to gain practical experience in a range of Seismic Reservoir Characterization techniques. This comprehensive workshop will provide a complete overview of seismic approaches, including the underlying theoretical principles and practical techniques used in real-world scenarios.
About the Presenter
Dr. Yasir Bashir
MATLAB For Earth Sciences
Join our hands-on workshop on MATLAB for Earth Sciences, designed to empower researchers, students, and professionals with powerful computational tools for analyzing and visualizing Earth data. Learn to leverage MATLAB’s robust capabilities for geospatial analysis, data modeling, and simulation to tackle real-world challenges in geology, meteorology, oceanography, and environmental science. This workshop combines expert-led instruction with practical exercises to enhance your skills in data processing and interpretation.