Geology & Geophysics

The newly added dataset allows real-time delivery of well economic statistics, providing users with valuable insights into oil and gas asset performance based on highly accurate well data and well-specific cost models.

The oil and gas industry recently participated in the Gulf of Mexico Lease Sale 261, where blocks within the survey area attracted 16 winning bids and a total bid value of more than $40 million. The Engagement 5 dataset will support existing and new leaseholders as well as regional operators with the most technically advanced subsurface imaging.

MetaBlue Land is an industry-first solution that connects every stage of a project, from planning through acquisition to data delivery, while monitoring survey progress in real time.

CGG has committed to reimaging over 5500 km2 of 3D seismic data in the complex eastern Columbus basin, using its proprietary TL-FWI imaging technology, which will deliver significantly improved seismic images and provide a better understanding of the geological systems in this underexplored part of the basin.

The new data set is relevant for companies seeking to establish a presence in the area and for existing operators aiming to refine their exploration strategies.

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.