Using data as the main building block of models is the new paradigm in science and technology. A new Technical Section and Technical Interest Group (TIG) has been formed to foster the application of data-driven modeling, data mining and predictive analytics research, development and practices in upstream oil and gas.
Join online communities of SPE members to:
- Develop a strategy and plan to promote the use of artificial intelligence, supervised and unsupervised learning, and other techniques in field management as a complementary approach to traditional upstream workflows.
- Develop and sustain a community of practice for sharing ideas and promoting the practice and application of artificial intelligence and petroleum analytics in upstream business.
- Promote establishment of a new discipline, including curricula and training, to combine data mining and oilfield technologies.
- Focus on promoting technology development and deployment to address key risks and opportunities in upstream oil and gas.