The second EAGE Conference on Seismic Inversion will be an event of interest to geoscientists working in both industry and in academia. Seismic Inversion is a key process used extensively in exploration, production and geohazard studies. Inversion provides a way to visualize and analyze data at higher resolution than standard seismic, facilitating the estimations of reservoir properties, and acting as a link between rock physics and seismically interpreted structure models, ultimately improving the interpretation efficiency. 

The conference will include 3 days of technical sessions highlighting various applications and methodologies used in the industry. The event will enable networking opportunities with top specialists in the geoscience community, bringing together geoscientists with experiences in conventional and unconventional resources, carbonates and clastics, and providing opportunities for an exchange of knowledge.   

The intent of the conference is to discuss and demonstrate examples of current progress, recent breakthroughs and future trends in seismic inversion methodologies and their applications. Participants will have an opportunity to share their experiences and ideas which lead to a better understanding of the value of seismic inversion along with the limitations and areas for improvement discovered.  

Seismic Inversion can be applied to reduce uncertainty for a wide variety of problems, which is reflected in the range of conference topics. We expect to address typical challenges in seismic inversion including layer properties prediction (both elastic and rock properties), azimuthal anisotropy, thin layer property estimation, detuning, hydrocarbon saturation, Direct Hydrocarbon Interpretation (DHI) and risk analysis, modification of prospects, and drainage strategies. The impact of machine learning, neural networks, artificial intelligence and cloud computing will also be on the agenda. 

The conference coverage sets a high bar for the discussion of existing methods, latest developments, case studies, lessons learned, as well as the intricacies and expectations for the future.