Project goals
to combine physics-based modelling and 3D pressure stochastic pressure simulations with data driven machine learning to improve the workflow for pore pressure prediction along a planned well path.
Results and effects
- Better predictions of the pore pressure in the subsurface
- Robust update of pressures and mud weight ahead of bit
- Safer and cheaper drilling operations
The BigPressure project will be led by SINTEF Industry, in tight collaboration with researchers at NTNU, SINTEF Digital and University of Munich as well as industry partners Equinor and ConocoPhillips, who will contribute with industry perspectives on operation challenges and requirements.
The project is a Collaborative and Knowledge-building Project (KSP) funded by The Research Council of Norway and the industry partners.
