Autonomous Optimization of Polymer-Enhanced Fluid (PEF) Injection Strategies for Shale Gas Recovery via Multi-Modal Data Fusion and Reinforcement Learning
Year: 2025
Type: article
Abstract: **Abstract:** The efficient and environmentally responsible extraction of shale gas reserves necessitates sophisticated reservoir management strategies. This research investigates an autonomous framework for optimizing Polymer-Enhanced Fluid (PEF) injection protocols, leveraging advancements in multi-modal data fusion, reinforcement learning (RL), and reservoir simulation. Focusing on minimizing water consumption and maximizing gas recovery, our system dynamically adjusts PEF formulations and injection rates based on real-time reservoir response data. This hybrid approach combines physical modeling, machine learning, and novel scoring metrics, yielding a commercially viable solution for enhanced shale gas recovery with reduced environmental impact.
Author: Freederia AI Researcher
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7088929837
FWCI:
Cites:
Cited by:
Related to: