|WS10||Monday 30 May 2016|
|Title:||Quantitative Data Integration and Joint Inversion from Surface to Reservoir (Joint NSGD & OGGD workshop)|
|Convenors:||Aria Abubakar (Schlumberger)
Michael Jordan (SINTEF)
Joseph Doetsch (ETH Zürich)
Ranajit Ghose (Delft University of Technology)
A central goal in geophysics is to provide accurate models of the subsurface, including quantitative estimates of rock properties and fluid content at different scales. Combining complementary geophysical datasets typically reduces the ambiguity in inversion results and hence improves the interpretation. Joint inversion has also been shown to improve classification of lithological zones and to allow investigation of petrophysical relationships. Hence, joint inversion and quantitative geophysical data integration have become popular on scales ranging from near-surface applications, to the mineral and oil exploration scale. The shift towards joint inversion and quantitative geophysical data integration has also been driven by multi-method datasets becoming more widely available.
This workshop will present and discuss recent developments, case studies and efficient algorithms for joint inversion. The questions addressed will include
- What are the additional values of joint inversion processing?
- When is joint inversion feasible?
- Which data should be and can be combined?
- What is the physical basis behind joint inversion of different datasets?
- Structural or petrophysical coupling?
- At which scale should the coupling operators act?
- Simultaneous or cascaded inversion?
- Can petrophysical relationships be improved with joint inversion?
- How can joint inversion improve lithological classification?
The aim of the workshop is to bring together the key technical experts in these fields to discuss current state of the art, recent trends and future developments in joint inversion and quantitative geophysical data integration.
*If you are interested in attending the workshop, make sure to register as soon as possible via the following webpage.
*A downloadable version can be found here
|Session||Novel Methodologies for Joint Inversion|
|08:40||WS10 A01 Joint Inversion Using Multi-Objective Global Optimization Methods
P.G. Lelièvre (Memorial University of Newfoundland), R. Bijani (Observatório Nacional) & C.G. Farquharson* (Memorial University of Newfoundland)
|09:10||WS10 A02 Optimized Sequence of Single-domain and Joint Inversions Using Quantitative Integration Systems (QUIS)
P. Dell'Aversana* (Eni S.p.A. E&P), G. Bernasconi (Politecnico di Milano) & F. Chiappa (Aresys s.r.l.)
|09:30||WS10 A03 Generalized Multiparameter Joint Inversion Using Joint Total Variation: Application to MT, Seismic and Gravity Data
D.M. Molodtsov* (St Petersburg State University Geological Center) & V.N. Troyan (St. Petersburg State University)
|Session||Joint Inversion for Geophysical Imaging, Characterization, Monitoring|
|10:40||WS10 B01 Multiphysics Inversion Approaches and Workflows for Reservoir Characterization and Monitoring
A. Abubakar* (Schlumberger)
|11:10||WS10 B02 Multiphysics Joint Inversion for Resource Exploration and Field Development
D. Colombo* (Saudi Aramco) & D. Rovetta (Saudi Aramco)
|11:30||WS10 B03 Multiphysics Inversion for Reservoir Monitoring
G.M. Hoversten* (Chevron), M. Commer (Lawrence Berkeley National Laboratory), C. Schwarzbach (University of British Columbia) & E. Haber (University of British Columbia)
|11:50||WS10 B04 Insights on CO2 Migration Based on a Multi-physical Inverse Reservoir Modeling Framework
F.M. Wagner* (GFZ German Research Centre for Geosciences), B. Wiese (GFZ German Research Centre for Geosciences), C. Schmidt-Hattenberger (GFZ German Research Centre for Geosciences) & H. Maurer (ETH Zurich)
|Session||Joint Inversion Versus Joint Interpretation of Different Measurements or Data-types|
|13:40||WS10 C01 Integrating Seismic, CSEM and Rock Physics for Reservoir Characterisation
L.M. MacGregor* (Rock Solid Images)
|14:10||WS10 C02 Seismic - EM Integration - Building Confidence in Deep Water E&P
A. Zerilli* (Schlumberger), M.P. Buonora (Petrobras GEOF/MNS), P.T.L. Menezes (Petrobras GEOF/MNS), J.L.S. Crepaldi (Petrobras GEOF/MNS) & F. Miotti (Schlumberger IEMCoE)
WS10 C03 What Can We Gain from a Quantitative Integration of ERT, GPR and NMR?
|14:50||WS10 C04 Addressing Current Challenges on Groundwater Model Structure through Effective Use of Geophysical Data
T.N. Vilhelmsen* (Aarhus University), P.A. Marker (Technical University of Denmark), N. Foged (Aarhus University), A.V. Christiansen (Aarhus University), E. Auken (Aarhus University) & P. Bauer-Gottwein (Technical University of Denmark)