Distributed Optimization and Control of Offshore Oil Production: The Intelligent Platform

Distributed Optimization and Control of Offshore Oil Production: The Intelligent Platform

This page is a publication and represents journal papers, conference papers and proceedings etc.

0
No votes yet

users have rated this content. We would love to have your vote as well. Log in and rate!



Abstract

We describe a novel approach to distributed optimization and control of offshore oil production systems. The model incorporates a complex pipeline network. Oil and gas production systems are represented as a network of connected hierarchical structures of sub sea wells, manifolds and clusters. We consider multiphase flow of water, gas, and oil in the pipelines, and account for discrete switching and typical inflow characteristics of the sub sea wells. Network methods based on variational calculus provide a modeling framework for decentralized optimization and control. Conservation laws and the second law of thermodynamics combined with the passivity theory of nonlinear control lead to conditions for stability and optimality. We describe interconnections in networks through matrix representations that capture a network's topology. Control strategies are derived from the model, and stability and convergence to the optimal solution follows from the passivity conditions. The proposed distributed controller network can be seen as a special case of a Multi Agent System (MAS).
Content

We describe a novel approach to distributed optimization and control of offshore oil production systems. The model incorporates a complex pipeline network. Oil and gas production systems are represented as a network of connected hierarchical structures of sub sea wells, manifolds and clusters. We consider multiphase flow of water, gas, and oil in the pipelines, and account for discrete switching and typical inflow characteristics of the sub sea wells. Network methods based on variational calculus provide a modeling framework for decentralized optimization and control. Conservation laws and the second law of thermodynamics combined with the passivity theory of nonlinear control lead to conditions for stability and optimality. We describe interconnections in networks through matrix representations that capture a network's topology. Control strategies are derived from the model, and stability and convergence to the optimal solution follows from the passivity conditions. The proposed distributed controller network can be seen as a special case of a Multi Agent System (MAS).

Other key information

207 results
Below, you will find related content (content tagged with same topic(s) as this publication)
Content type: Publication

Correspondence between the low- and high-frequency limits for anisotropic parameters in a layered medium

This is a scientific publication written in collaboration with the IO Center.

0
Content type: Presentation

Course : Long term production optimization

Listing of contents of an existing course material related to "Long term reservoir optimization".

0
Content type: Topic page

Daily production optimization

Determine the optimal production strategy in day to day operations.

5
Content type: Presentation page for handbook
Content type: Business case

Daily production optimization at Petrobras Marlim

IO4 is working together with Petrobras to automatically find the best production strategy for their Marlim P-35 FPSO.

4.5
Content type: Publication

Daily Production Optimization for Subsea Production Systems

Methods based on mathematical programming and surrogate modelling

0
Content type: Presentation

Decision Support Framework for Well Location at Martin Linge Oil Field (IO13 poster)

Optimization of Well Placement Using Derivative-Free Methods

0
Content type: Publication

Decision Support in Long Term Planning of Petroleum Production Fields

This is a scientific publication written in collaboration with the IO Center.

4
Content type: Publication

Direct Dix-type inversion in a layered VTI medium

This is a scientific publication written in collaboration with the IO Center.

0
Content type: Publication

Discrete Optimization of Oil Production in Thin Oil Rim Reservoir Under Geological Uncertainty

This is a scientific publication written in collaboration with the IO Center.

0

Pages