Topics

1. Planning an inversion project

1.1 Rock physics and feasibility

1.2 Data conditioning and AVO/AVA fidelity

1.3 Prior model building (including neural networks, FWI, other)

1.4 Setting objectives and establishing business value

2. Inversion workflows

2.1 Conventional inversion algorithms (deterministic)

2.2 Advanced inversion methods (stochastic, probabilistic, 4D, other)

2.3 Multi-component, azimuthal and other methods for handling anisotropy

2.4 Full wave inversion methods

2.5 Machine learning inversion

2.6 Estimation of uncertainty around predicted elastic and/or reservoir properties 

3. Using products from a seismic inversion

3.1 QA/QC of inversion products

3.2 Integration of inversion products into subsurface workflows (model building, well planning, resource estimation, etc)

3.3 Use of inversion in 'green' energy projects (CCUS projects, wind, etc)