Machine Learning has seen explosive growth in recent years and its methods of learning from data are already widely applied across many areas such as life sciences, finance and social media. Driven by rapid developments in learning algorithms, advances in computing infrastructure and increasing amounts of data from which to learn, machine learning is also starting to play an increasingly significant part in hydrocarbon exploration and production. Machine learning offers the promise of increased efficiency in areas like seismic interpretation and petrophysical analysis, and in understanding the avalanche of data produced by various digital sensors. It also holds the potential to analyse and extract value from the vast amounts of legacy data that through lack of resources are currently left to gather dust.
The machine learning special interest group welcomes all with an interest in the field from those who just want to learn a bit about the technology through to those who have experiences to share. We think it is important for us all, as users of this rapidly evolving technology, to able to ask the right questions about the advantages and limitations of the methods we may increasingly come to rely on. So join this group for education and critical thinking about machine learning as well as networking in an informal atmosphere.