SPE event

Panelists at the SPE Subsea Well Intervention Symposium discussed where AI is delivering value today, where risks remain, and how engineers can best determine its usefulness.

Honorees Rajan Chokshi and Mike Poythress say the guidance they received, and later shared with others, helped shape decades of innovation and leadership in artificial lift.

SPE Gulf Coast Section’s Career Advancement Network successfully expanded its reach into the geosciences community at IMAGE 2026, connecting 217 job seekers with employers and demonstrating growing demand for in-person energy industry hiring events.

As digital technologies become commonplace, industry leaders say core engineering knowledge remains essential for making informed decisions and avoiding costly mistakes.

While equipment run life and reliability remain core concerns, experts say operators are increasingly turning to real-time surveillance and autonomous optimization to unlock new production gains.

This case study outlines a full-scale testing program focused on the behavior of thermal casing connections subjected to severe bending and low-cycle fatigue loading.

Disposal wells remain the lowest-cost solution for produced water, but concerns over seismicity and long-term sustainability are accelerating interest in alternatives.

Applications are now open for the OTC Spotlight on New Technology Awards, the offshore energy sector's leading innovation honors. Recognizing technologies that advance operational efficiency, sustainability, and performance, the awards spotlight game-changing solutions from OTC exhibitors. Submit your entry and supporting documents by 28 January 2027.

SPE Offshore Europe 2027 has unveiled its conference theme, “(Em)Powering Europe: Securing Our Energy Future,” and opened the call for technical paper proposals for the Aberdeen event.

Flow measurement touches almost every phase of oil and gas operations. Yet the industry still struggles to distinguish between what is directly measured, what is inferred, and what is estimated through models, correlations, or assumptions. That distinction matters. A measurement does not need to be perfect to be useful, but it must be fit for purpose.