IFPT Account
Who should attend?
- E&P engineers are used to work with models. Until recently all the models used in the oil and gas industry where models based on a relative small number of data and strong physical relationships to link the observations and to help the decision process by a better understanding of the subsurface.
- In the 90’s first and more abundantly after 2012 some statistical models, just based on data and not on physical laws, have surfaced. They support already a lot of processes in the O&G Industry such as the mechanical failure prediction of rotary equipment, video surveillance analysis, seismic or well log interpretation, data mining… but it can be said that this models are usually "opaque".
- Cooperation between these new type of data models and engineers depends on trust. If the engineers are to accept algorithm prescriptions, they need to trust them.
- This training will present several ways to measure the quality of the models as well as some possibilities to anticipate their behavior on particular data set in order to evaluate if a model is trustable or not.
Public :
- Oil and Gas engineers who have to interact with data scientist or who have to use trustable machine learning models to achieve their business objectives
Level :Awareness
Prerequisite :
- No pre-requisistes are necessary to follow this course.