# A physics-constrained data-driven workflow for predicting bottom hole pressure using a hybrid model of artificial neural network and particle swarm optimization

> Research article (Geoenergy Science and Engineering, 2023) · cited 16× · AI/ML

**Wikidata**: [openalex:W4322502818](https://www.wikidata.org/wiki/openalex:W4322502818)  
**Source**: https://4ort.xyz/entity/a-physics-constrained-data-driven-workflow-for-predicting-bottom-hole-pressure-using-a-hybrid-model-of-artificial-neural
