Geology & Geophysics

Halliburton Company has recently unveiled GeoESP lifting pumps, a cutting-edge submersible borehole and surface pump technology tailored for geothermal energy applications.

In today’s volatile environment, there is a pressing global need for secure, sustainable and affordable energy. Oil and gas exploration and production companies must optimize performance to remain profitable, while also reducing geological risks—especially for structurally and lithologically complex reservoirs. The future of the upstream industry lies in the adoption of innovative geoscience digitalization solutions to optimize operations. Machine learning applications for geoscience data have been in use for more than 25 years but have become critical in recent years due to the massive growth in the amount of petrotechnical data being acquired. As machine learning evolves and gains acceptance, it will play an increasingly visible role in analyzing surface and subsurface data. Join World Oil and AspenTech for this webinar to learn how to: • Improve digital representations of the subsurface, such as rock prediction volumes, using machine learning and AI • Leverage, QC and de-risk existing data from the subsurface, and display them in a comprehensive manner • Make faster, more educated business decisions at lower cost Register now to join the conversation and hear how you can leverage digital solutions to increase exploration success.

Geological evaluation of subsurface is an essential component of formation evaluation that connects well-centric data to reservoir scale. Recent technology breakthroughs in logging-while-drilling (LWD) borehole imaging and advanced surface logging have attracted substantial attention of the energy industry, more so for possible applications in sustainable energy initiatives. Digital innovations have led to development of smart and efficient solutions that can be made available in real-time for strategic decisions as the well gets drilled. Geology while drilling is taking the center stage from picking mineralogy on cuttings to inferring depositional architecture and structural framework with image logs with deep learning workflows and artificial intelligence embedded in the tools. Geothermal, hydrogen exploration and carbon sequestration all can benefit with these digital innovations in geology while drilling.