Workshop Description

Detailed characterization of the subsurface is essential for the success of industrial projects indifferent sectors, including energy, mining and civil engineering. Seismic plays a key role for deeper subsurface imaging. Yet, high-quality seismic images are difficult to obtain in the presence Public of a complex near surface, characterized by shallow geological features that affect the measurements, and possibly complicated by rugged and unstable topography as in mountainous or sand dune areas. In many cases, the near surface or near-seafloor itself is the primary target of investigation, with a wide range of possible objectives including, e.g., the mapping of ground water resources, site characterization and stability assessment for wind farm development or other construction projects, shallow hazard mitigation for karst structures or sinkholes in urban environments, or marine gas hydrates as a drilling hazard and potential resource.Here, seismic data components other than reflection/refraction data (surface waves, guided waves, etc.) and other geophysical methods (electro-magnetics, gravity, magnetics etc.) are frequently used to obtain high-quality images of the shallow subsurface. A wide variety of approaches exists for combining the different geophysical data sets qualitatively or quantitatively and linking them to the petrophysical or geotechnical parameters of interest.In this workshop, we aim to bring together expertise on different approaches to multi-physics data integration for near-surface applications, including joint inversion, the use of artificial intelligence techniques, and new ways of combining geophysical with other (petrophysical, geotechnical, etc.)data. Applications range from Oil and Gas to geothermal, renewables, civil and geotechnical engineering in diverse land and marine geological environments. We aim to facilitate open discussion on pros and cons of multiple data integration strategies, and discuss routes ahead in view of emerging application areas related to the energy transition.

We would also like to explore the use of emerging technologies in machine learning and artificial intelligence to assist with or replace some processing, imaging and interpretation steps in integrated multi-physics workflows.To facilitate discussion on methodology, we particularly encourage participants to discuss rationales for, and advantages and pitfalls of the methods chosen.

The workshop will span topics that will be of interest to experienced practitioners as well as students and young professionals. We invite attendees both from industry and academia, with a keen interest in latest technology developments and applications, with and without a background in multi-physics near-surface geophysics. We invite participants to contribute their experiences for discussion, success stories as well as open challenges.

Workshop Programme

Morning Session
9:30	Introduction: overview of data integration techniques D. Rovetta (Aramco Overseas Company)
9:45	Multi-physics inversion and machine learning: theory and applications in geophysics P. Dell'Aversana (Eni SpA)
10:15	Multi-physics inversion guided by deep learning: Airborne micro-TEM for seismic corrections in sand covered areas D. Colombo (Saudi Aramco)
10:45	Coffee break
11:00	Advancements in cost-effective efficient seismic based geotechnical site characterization and monitoring:  Measurements  and analysis methods G. Busanello (Schlumberger)
11:30	Geophysical signatures of the hydromechanical coupling of fractures N. D. Barbosa (University of Lausanne)
12:00	Data fusion of Electrical Resistivity Tomography (ERT) and Distribute Temperature Sensing (DTS) for warm water storage: Lab and field case M. Karaoulis (Deltares)
12:30	Discussion
12:45	Lunch
13:45	Simultaneous methane hydrate and natural gas quantification by simultaneous analysis and modeling of borehole resistivity and seismic velocities K. Reeck (Geomar)
14:15	Geophysical and core data integration to characterise an offshore freshened groundwater system in the Canterbury Bight  Z. Faghih (Geomar)
14:45	Joint surface and body wave tomography for near surface applications M. Karimpour (Politecnico di Torino)
15:15	Discussion
15:25	Coffee break
15:40	Joint airborne EM and magnetics for geotechnical information in a mining environment  D. Burrows (Xcalibur Multiphysics)
16:10	Improved near-surface characterization via multi-physics joint inversion L. Masnaghetti (Schlumberger)
16:40	Towards integrated ground models – an example from TNW Offshore windfarm J. Park (Norwegian Geotechnical Institute)
17:10	End of Workshop

---