Optimizing the Long-Term Capacity Expansion and Protection of Iraqi Oil Infrastructure

Abstract

This thesis introduces a tri-level defender-attacker-defender optimization model that prescribes how Iraq's oil infrastructure can, over time, be expanded, protected, and operated, even in the face of insurgent attacks. The outer-most defender model is a mixed-integer program that, given a set of anticipated insurgent attacks, specifies a quarterly capital expansion, defense, and operation plan to maximize oil exports over a decade-long planning horizon. The intermediate attacker model, observing the outer defender plans, is a mixed integer program that re-optimizes insurgent attacks to minimize export flow. The inner-most defender model is a linear program that redirects flow in response to insurgent damage. The author uses open-source descriptions of current Iraqi oil infrastructure and reasonable estimates of the costs to expand capacity and/or defend operating assets, and reduce vulnerability to attacks. He solves this tri-level model by converting it into an equivalent bi-level one, and applying decomposition. For a range of scenarios, he determines the best allocation of effort between improving oil export infrastructure, and defending it.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2005
Accession Number
ADA439532

Entities

People

  • Patrick S. Brown

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Counter WMD
  • Energy and Power Technologies
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Arabia
  • Construction
  • Cost Estimates
  • Engineering
  • Geography
  • Governments
  • Infrastructure
  • Iraqi-War
  • Linear Programming
  • Middle East
  • Operations Research
  • Petroleum
  • Pumping Stations
  • Saudi Arabia
  • Standards
  • Terminals
  • United States

Fields of Study

  • Computer science

Readers

  • Irregular Warfare and Special Operations Cyberspace Operations against Adversarial Threats.
  • Military and Counterinsurgency Studies.
  • Operations Research