SPE In Focus: Reservoir Simulation
Emerging knowledge and resources on prevailing energy topics from SPE industry experts
SPE is firmly focused on the future of our industry. From examining new technologies in reservoir simulation to understanding fundamentals and advanced analysis, join in the discussion of challenges and opportunities, the latest news and developments, and opportunities to grow your knowledge.
Discussions: New Technologies and Opportunities
Current Reservoir Simulation News
Fast, Scalable Graph Neural Networks Used for Subsurface in Porous-Media Simulations
This work describes a study in which distributed data parallel training, paired with a node-local caching pipeline, enabled efficient multigraphics-processing-unit scaling for a CO₂-storage graph-neural-network surrogate while maintaining generalization.
Digital Twin and Simulation Studies Driven by Digital Transformation
This paper presents a novel reservoir engineering/reservoir simulation approach—a data-driven interwell-connectivity model augmented as a digital twin—to predict reservoir dynamics and optimize operations in the Changqing oil field of China.
Proxy Models Accelerated Using Physics-Based Reduced-Order Model
This work uses a novel pseudosteady-state-based simulation to reduce training-data-generation cost while maintaining high-performance predictions of data-driven proxy models for carbon-sequestration projects.
Reservoir Simulation
The current challenge in reservoir simulation extends beyond developing better models; it entails creating solutions that are faster, more responsive, and genuinely instrumental in guiding decision-making. The papers selected this year clearly represent this evolution.
Predictive Analytics Reduce Exploration Risks for High-Potential Geologic Hydrogen Discoveries
This study applies Monte Carlo simulation and an XGBoost regression model to assess the influence of various formations, geologic provinces, tectonic-plate types, and boundary conditions on hydrogen concentrations.
Near-Real-Time CO2-Plume Monitoring, Visualization Approach Considers Geologic Uncertainty
The authors propose a deep-learning-based approach enabling near-real-time CO2-plume visualization and rapid data assimilation incorporating multiple geological realizations for predicting future CO2 plume evolution and area-of-review determination.
SPE Resources
Learn the Fundamentals or Expand Your Reservoir Simulation Expertise
OnePetro©
Research: Trending Reservoir Simulation Papers and Proceedings from OnePetro©
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SPE Books
Data-Driven Reservoir Modeling
New technology and protocols for applying data analytics to solve real-world, reservoir engineering problems and reduce large amounts of data down to actionable quantities.
Petroleum Reservoir Simulation
The standard reference for numerical models for fluid flow in petroleum reservoirs, often referred to as "The Green Book" of reservoir simulation.
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