Automated Model-Based Optimization Design of Subsea Field Layout under Production and Flow Assurance Constraints

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dc.contributor.advisorFranchek, Matthew A.
dc.contributor.committeeMemberGrigoriadis, Karolos M.
dc.contributor.committeeMemberSong, Gangbing
dc.contributor.committeeMemberCescon, Marzia
dc.contributor.committeeMemberFaghih, Rose T.
dc.creatorMnasri, Hamdi
dc.date.accessioned2022-06-30T01:58:11Z
dc.date.createdMay 2021
dc.date.issued2021-05
dc.date.submittedMay 2021
dc.date.updated2022-06-30T01:58:12Z
dc.description.abstractSubsea explorations are a major contributor to the global energy balance. A lot of research has been put into action to enhance all aspects of this industry despite the complexity faced. Therefore, developing tools with reduced computational time efforts while maintaining high accuracy levels is a crucial engineering and scientific challenge to maintain such position. Presented in this dissertation is an autonomous model-based simulation and optimization approach intended to be deployed during the pre-Front-End-Engineering-Design (pre-FEED) study phase of a subsea field development project. The proposed methodology is developed so subsea engineers use it as an asset to perform subsea field architecture design optimization. Based on a multi-objective optimization, experts can identify and select solutions satisfying pre-defined financial and technical targets. Additionally, the presented work is aimed to achieve tasks beyond its pre-FEED study utility. Specifically, deep-dive analysis is enabled to deal with real-time production system properties tracking, health monitoring and integrity assessment via model’s self-adaptation routines. By integration of different reduced-order physics-based models, a digital twin for a subsea production system is created. Hence, low-dimensional models have been developed to describe several aspects of a subsea system. A crucial part of the developed platform is illustrated via a multiphase flow reduced order model. A model developed as a steady-state multiphase mechanistic model in series with a dissipative distributed single-phase transient model, coupled via estimation of equivalent fluid properties. Additionally, flow assurance and structural integrity are serious issues within the subsea industry. A contribution to the presented matter, a data-driven parameter varying corrosion rate prediction model is presented as an amelioration of the existing prediction packages. Integrating the developed models along with several other reduced-order models within a hybrid optimization process, optimal layout scheme of a subsea field under production and flow assurance constraints can be determined. A digital twin of a subsea production system has been developed to mimic the operating process of a complete subsea production field starting from a newly discovered reservoir and ending at a terminal, thus, used as a virtual simulation environment of a subsea field overall life cycle within all compartment: upstream, mid-stream and downstream.
dc.description.departmentMechanical Engineering, Department of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.citationPortions of this document appear in: Hamdi Mnasri, Taoufik Wassar, Matthew A. Franchek, and Egidio (Ed) Marotta. "Data-Driven Modeling of Carbon Dioxide Corrosion for Integrity Management Application." SPE Prod & Oper 34 (2019): 667–677.
dc.identifier.urihttps://hdl.handle.net/10657/10219
dc.language.isoeng
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. UH Libraries has secured permission to reproduce any and all previously published materials contained in the work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectMultiphase Flow, Corrosion, Flow Assurance, Subsea Layout Optimization, Reduced-order Modeling
dc.titleAutomated Model-Based Optimization Design of Subsea Field Layout under Production and Flow Assurance Constraints
dc.type.dcmiText
dc.type.genreThesis
local.embargo.lift2023-05-01
local.embargo.terms2023-05-01
thesis.degree.collegeCullen College of Engineering
thesis.degree.departmentMechanical Engineering, Department of
thesis.degree.disciplineMechanical Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy

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