Reservoir

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.
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.
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.

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