Pejman Shoeibi Omrani is a senior scientist at TNO (Dutch institute for applied sciences) and has a degree in mechanical engineering and applied mathematics from Delft university of technology. His current work is focusing on the production optimization and digitalization in the energy sector and the application of machine learning and AI for the geo-energy systems. Currently, he is leading and coordinating several projects on the topics of digital twin, artificial intelligence and machine learning in the energy sector and process industry. In addition, Pejman is the SPE Netherlands digital officer since 2021. Pejman is the chair of the SPE production optimization workshop and has served as a committee member for several conferences including ATCE, offshore Europe and SPE geothermal workshop.

Shohreh Amini is a Data Science manager at the Big Data Center of Excellence at Halliburton-Landmark. She joined Landmark in 2016 as a Data Scientist, and in her current role she is leading a multi-disciplinary team of data scientists to deliver data science solutions to the customers, as well as internal organization. She has more than 10 years of experience in application of artificial intelligence and machine learning techniques in various domains of petroleum engineering such as reservoir modeling, production foresting, anomaly detection, proxy modeling, etc. She has previously worked as a reservoir engineer for a National Oil Company. She holds a master’s and a PhD in Petroleum Engineering from Delft University of Technology in Netherlands and West Virginia University in US, respectively. She has been a SPE member for the last 20 years and has served as a volunteer in multiple roles within SPE.