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The authors of this paper apply a deep-learning model for multivariate forecasting of oil production and carbon-dioxide-sequestration efficiency across a range of water-alternating-gas scenarios using field data from six legacy carbon-dioxide enhanced-oil-recovery projects.

This paper assesses the technical feasibility of geological carbon storage in the operator’s Brazilian brownfields, focusing on mature oil fields and associated saline aquifers.

These papers exemplify value creation at each stage of hydrocarbon maturation and should prompt practitioners to don their thinking caps.

Are we in an AI bubble? The question may seem academic to petroleum engineers who are already capitalizing on the momentum of digitalization across the industry, yet any engineer, regardless of their career stage, could be forgiven for feeling overwhelmed by the sheer scope of specialized skills now demanded in this rapidly evolving digital landscape.

This paper describes an auto-adaptive workflow that leverages a complex interplay between machine learning, physics of fluid flow, and a gradient-free algorithm to enhance the solution of well-placement problems.

This paper details a data-driven methodology applied in Indonesia to enhance flare-emission visibility and enable targeted reduction strategies by integrating real-time process data with engineering models.

As cutting-edge technologies unlock geothermal potential, Japan is channeling investments into powerhouse projects across the US, Indonesia, and New Zealand and priming its own reserves for a clean energy boom at home.

What do today’s membership trends mean for SPE? While declining numbers and an aging demographic can be unsettling, the reality is that these challenges are not unique to SPE. As professional associations everywhere face generational shifts, SPE members have an opportunity to hear about the success stories ongoing now and reflect on what will sustain our community in …

As the industry accelerates carbon capture, use, and storage initiatives, modeling innovations for carbon-dioxide injection and enhanced oil recovery have become critical for optimizing recovery and ensuring secure storage. Recent studies highlight a shift toward data-driven and hybrid approaches that combine computational efficiency with operational practicality.

Two critical facets of the discipline of well control and wellbore integrity—decarbonization and groundbreaking automation of essential processes—are highlighted in the three primary paper selections presented at SPE and SPE-affiliated conferences during the past year.