Workshop 3

Description

The integration of Artificial Intelligence (AI) into seismic processing and reservoir characterization is now a reality at all stages of E&P and New energies workflows. This workshop will focus on the use of AI techniques at all stages of the seismic processing sequence, including reservoir characterization, paying particular attention to inversion. 

It will showcase AI applications that improve the accuracy and efficiency of our seismic workflows. It will assess the benefits of AI-driven approaches by comparing them with the more conventional tools that they are designed to replace, in terms of quality of results and overall computational and human effort.

The workshop will also explore the potential of applying emerging machine learning technologies, for example, generative AI, seismic foundation models and LLM-like architectures to improve geophysical inversion and imaging.

A round table session will be organized to develop actionable recommendations and strategies for integrating AI more effectively in our workflows.

The workshop will be divided into three main parts, each focusing on a specific aspect of AI applications:

1. AI for Seismic Processing: This session will review the current applications of AI within seismic processing for both active and passive seismic data. Participants will explore how machine learning technologies can enhance seismic imaging. Topics will include image processing (denoising), image segmentation (picking), and seismic event detection.
2. AI for Velocity Model Building: This part will focus on the use of AI in building velocity models, which are crucial for accurate seismic imaging and interpretation. The session will cover various AI techniques used to improve the accuracy and efficiency of velocity model building, comparing them with traditional methods.
3. AI for Quantitative Interpretation: The final session will delve into the applications of AI for quantitative interpretation, which involves analyzing seismic data to predict rock properties and hydrocarbon distribution. The workshop will highlight how AI can enhance the accuracy and reliability of quantitative interpretation, comparing it with conventional tools such as seismic inversion and AVO analysis.

The last phase of the workshop will be dedicated to defining the main learnings from the day and drawing conclusions to identify directions for improvement in the future. This session will provide an opportunity for participants to reflect on the insights gained throughout the workshop and discuss how these can be applied, pinpointing challenges that remain to be addressed.

Join us to discover the future of seismic processing and reservoir characterization through the lens of Artificial Intelligence!