The field,
now agentic.
The year energy stopped buying AI and started building it — read across our three most recent issues.
Subsurface Intelligence — Q3 2026
An exploration-scale full-waveform inversion project routinely consumes millions of core-hours, and the bill concentrates in one inner loop: solving the wave equation, forward and adjoint, over and over. This whitepaper maps the seismic HPC workload, locates the bottleneck, and lays out the four levers, surrogates, hardware fit, compute-aware orchestration, and sample efficiency, that are moving depth imaging from an overnight batch job on a CapEx cluster toward an interactive, uncertainty-aware, elastic-compute workflow.
From AI Customer to AI Builder
Operators start building what they used to buy: domain-native wellbore LLMs, basin-trained seismic foundation models, VeerNet log digitisation, agentic MLOps and drilling agents in the field, carbonate vug and fracture vision, and a first move into lignin.
One Log, Three Tracks
No single method reads carbonate rock, so this issue routes one image log into three tracks: a supervised fracture and bedding detector, classical-CV vug counts, and kriged well-to-well ties. The programme behind it lands in SPE Journal and at EAGE.