# Artificial intelligence based-improving reservoir management: An Attention-Guided Fusion Model for predicting injector–producer connectivity

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-based-improving-reservoir-management-an-attention-guided/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ahmed Saihood,Tariq Saihood,Sabah Abdulazeez Jebur,Christine Ehlig‐Economides,Laith Alzubaidi,Yuantong Gu |
| Citations | 10 |
| DOI | 10.1016/j.engappai.2025.110205 |
| Fields | Engineering |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1016/j.engappai.2025.110205 |
| OpenAlex ID | https://openalex.org/W4407636624 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Sabah Abdulazeez Jebur](https://scholariq.org/researchers/sabah-abdulazeez-jebur/)

## Paper journal

- [Engineering Applications of Artificial Intelligence](https://scholariq.org/journals/engineering-applications-of-artificial-intelligence/)

## Paper primary topic

- [Reservoir Engineering and Simulation Methods](https://scholariq.org/topics/reservoir-engineering-and-simulation-methods/)

## Paper topics

- [Reservoir Engineering and Simulation Methods](https://scholariq.org/topics/reservoir-engineering-and-simulation-methods/)
- [Drilling and Well Engineering](https://scholariq.org/topics/drilling-and-well-engineering/)
- [Oil and Gas Production Techniques](https://scholariq.org/topics/oil-and-gas-production-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.