Geolog International BV the largest independent global provider of wellsite surface logging solutions to the Oil, Gas & Geothermal Industries and Petro.ai, global leader in subsurface data analytics, machine learning, and AI, have today announced a new strategic partnership to deliver Machine Learning and AI-based data science and predictive products and services to the global Energy Industry.
Geolog International BV (“GEOLOG”) the largest independent global provider of wellsite surface logging solutions to the Oil, Gas & Geothermal Industries and Petro.ai, global leader in subsurface data analytics, machine learning, and AI, have today announced a new strategic partnership to deliver Machine Learning and AI-based data science and predictive products and services to the global Energy Industry.
Richard Calleri, CEO and owner of GEOLOG said, “our clients have a ferocious appetite for receiving quality, structured, analytics ready data and predictive products. Partnering with Petro.ai allows us to deliver additional value to our customers, by accelerating and signicantly expanding our portfolio of Machine Learning and AI solutions that are designed to improve drilling efficiency and reservoir prediction”.
Dr. Troy Ruths, Founder and CEO of Petro.ai added, “this partnership will allow Petro.ai to deliver a new set of analytics and accurate predictions to Geolog’s global customer base. Our unique geoscience expertise that merges both structured and unstructured data is a natural fit for the high quality and differentiated data streams that Geolog collects. We couldn’t be more excited to launch this strategic partnership.”
Geolog International BV (www.geolog.com) is the world’s largest independent surface logging services provider to the Energy industry with global operations in over 50 countries and a workforce in excess of 1600.
Petro.ai (www.petro.ai) combines the latest geoscience research with cutting edge data science, delivering the most accurate predictions of economic outcomes in the energy industry. In the last 12 months, these predictions have advised $1.9 billion of capital investment with better than 94% accuracy.
