SPE presents this webinar to share the findings from in-depth interviews with 144 senior safety functional leaders (> 70% VPs of Safety or above) from 120 corporations which collectively employ more than 6.8 million employees and with combined revenues of US $4.2 trillion, operating across a wide range of industry sectors.

Data science and Data-driven technologies, such as Data analytics and AI (Machine Learning, Deep Learning) have achieved real value creation in various industries such as Retail, Finance, Manufacturing, Advertising and Social platforms. However, and in spite of the possession of large volumes of data by the Oil & Gas companies, they did not yet realize the full potential of these technologies and their data. This webinar will try to shed some light and share our thoughts on how the Oil & Gas industry can develop this critical proficiency in Data science and Data-driven technologies in order to reap the promised rewards of improving efficiency, cost savings, and enhancing operational safety.

In this webinar, we describe one of the initiatives under Saudi Aramco’s digital transformation strategy. It is a simple yet innovative application of Advanced Process Control (APC) that facilitates continuous optimization of the performance of Electric Submersible Pumps (ESP), to not only comply with the assigned production targets, but also to automatically meet the operational constraints.

​When developing new fields, O&G companies may face many challenges regarding production and flow assurance. It is common that further investigation and R&D efforts are required and, as a result of this activity, new models to represent those new problems are developed. A natural way forward after experimental investigation and modeling activities is the implementation of such models in simulators, to ultimately be used for design and troubleshooting. However, commercial tools are generally “black-boxes” and do not provide the necessary customization flexibility to the end user, which prohibits them from testing new models within a reasonable timeframe.

Presented by Salim Taoutaou

Dozens of leading studies (IPCC, governments, think tanks, NGOs) analyze what needs to be done to manage climate change risk and limit global temperature rise to 2C or 1.5C by 2050. ERM has reviewed a range of these studies and found that Carbon Capture and Storage (CCS) arises in all of them as a key response option necessary to achieve the outcome. ERM will summarize the energy transition pathways suggested by such studies, highlight the role of CCS in them and contrast that outlook with the status of CCS today.