Hybrid Simulation Framework Combining Transient Flow Modeling and Sensor Data for Flow Assurance in Deepwater Subsea Wells

Authors(3) :-Malvern Iheanyichukwu Odum, Iduate Digitemie Jason, Dazok Donald Jambol

Flow assurance in deepwater subsea wells poses persistent operational challenges due to complex multiphase behaviors, harsh environmental conditions, and limited access for physical intervention. This paper presents a hybrid simulation framework that combines transient multiphase flow modeling with real-time sensor data to enhance flow assurance decision-making. By integrating the predictive capabilities of physics-based simulation with live field intelligence from pressure, temperature, and flow sensors, the framework creates a dynamic, feedback-driven system for early anomaly detection, operational forecasting, and production optimization. The paper outlines the theoretical basis for transient modeling, details the preprocessing and alignment of sensor data, and describes a calibration methodology that enables the model to adapt to evolving field conditions. A modular architecture supports continuous synchronization between simulated and observed data, feeding into a decision support layer that delivers timely alerts and risk assessments. Applications including slugging detection, hydrate risk monitoring, and constrained production optimization demonstrate the framework’s practical value in improving both system reliability and efficiency. By closing the loop between simulation and measurement, this hybrid approach advances the state of flow assurance from reactive troubleshooting to proactive control, contributing to the digital evolution of subsea operations and setting a foundation for future automation and AI-driven optimization.

Authors and Affiliations

Malvern Iheanyichukwu Odum
Shell Nigeria Exploration and Production Company (SNEPCo), Nigeria
Iduate Digitemie Jason
TotalEnergies E&P Nigeria Limited, Nigeria
Dazok Donald Jambol
Shell Petroleum Development Company of Nigeria Ltd, Nigeria

Flow Assurance, Hybrid Simulation, Transient Multiphase Modeling, Subsea Sensor Integration, Deepwater Production, Real-Time Monitoring

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Publication Details

Published in : Volume 5 | Issue 5 | September-October 2022
Date of Publication : 2022-09-10
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 137-155
Manuscript Number : SHISRRJ225525
Publisher : Shauryam Research Institute

ISSN : 2581-6306

Cite This Article :

Malvern Iheanyichukwu Odum, Iduate Digitemie Jason, Dazok Donald Jambol, "Hybrid Simulation Framework Combining Transient Flow Modeling and Sensor Data for Flow Assurance in Deepwater Subsea Wells", Shodhshauryam, International Scientific Refereed Research Journal (SHISRRJ), ISSN : 2581-6306, Volume 5, Issue 5, pp.137-155, September-October.2022
URL : https://shisrrj.com/SHISRRJ225525

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