Intelligent Formation Integrity and Damage Prevention System (FIDPS): An Integrated AI and Dynamic Simulation Approach for Prediction and Mitigation

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Authors: Mohammad Parsa Sohrabi
Cited by: 0
References: 2

Abstract

Abstract This paper introduces the Intelligent Formation Integrity & Damage Prevention System (FIDPS), an AI-native platform designed to revolutionize real-time drilling operations through proactive formation damage prevention and operational optimization. The system addresses ten comprehensive formation damage types through a multi-layered architecture integrating real-time data acquisition, machine learning ensembles, and closed-loop optimization. FIDPS demonstrates capability to reduce formation damage incidents by 60%, decrease non-productive time by 40%, and improve drilling efficiency by 25% through its intelligent prediction and mitigation framework. The platform's microservices architecture enables scalable deployment across multiple wells while maintaining 99.9% availability and sub-second processing latency.

Fields of Study & Subjects

Drilling and Well Engineering Tunneling and Rock Mechanics Hydrocarbon exploration and reservoir analysis

Publication details

Journal / source
SPE International Symposium and Exhibition on Formation Damage Control
Publication date
11 February 2026
Language
EN