Monday, February 07
In this session, industry technical executives will share current states and challenges of progressing advanced analytics, cultural changes, and cross-discipline applications, giving their views on current battle lines and the next steps to address. Presentations will be from a range of companies followed by a panel discussion with the presenters.
This session will present recent advances applying MLS algorithms in reservoir characterization and modeling. Presentations will focus on areas of data integration including fibre well data, micro-seismic, petrophysics, core, and field diagnostics such as pressure fall-off to develop detailed static models of rock, fluid, and mechanical properties.
The session explores real world applications and methods in predicting well performance. Can data driven analytics go beyond automated history matching and pattern recognition? Case studies include the integration of production, geology and completions with discussions on successes and failures.
Without question, the analytics solutions are increasingly pervasive and sophisticated, but the data, uncertainties and fundamentals of the petroleum industry make the application of analytics distinct in the petroleum industry. This session will begin a presentation followed by an open discussion of utilizing AI/ML in the petroleum industry.
Tuesday, February 08
In this session, industry technical leaders will discuss the importance of carbon reduction, CO2 sequestration and energy transition and discuss how applications of Artificial Intelligence and Machine Learning to this challenges. Technologies and cases studied will reflect the current state, challenges, and opportunities to deploying digital solutions as enablers. On open floor dialog is intended to allow sharing of the current state of applications in different organizations.
In this session, industry experts share their experiences in analyzing filed data with AI and ML to undestand complex patterns and build predictive models which are used to optimize drilling, completion and field development operations.
In this session, the discussions will be on managing the human factor issues related to reducing demand on the human using automation and also the expectation of increased performance with the advent of digital information technologists.