Analysis of production data manipulation attacks in petroleum cyber-physical systems

Xiaodao Chen, Yuchen Zhou, Hong Zhou, Chaowei Wan, Qi Zhu, Wenchao Li, Shiyan Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Petroleum Cyber-Physical System (CPS) marks the beginning of a new chapter of the oil and gas industry. Combining vast computational power with intelligent Computer Aided Design (CAD) algorithms, petroleum CPS is capable of precisely modeling the flow of fluids over the entire petroleum reservoir and leveraging the massive field data remotely collected at the production wells. It provides field operators with valuable insights into the geological structure and remaining reserves of the reservoir for optimizing their operational strategies. Despite such benefits, petroleum CPS is vulnerable to various cyberattacks that jeopardize the integrity of the field data collected at production wells. Given manipulated field data, CAD software would generate an inaccurate reservoir model which misleads the field operators. This work is the first to analyze potential cybersecurity attacks in a petroleum CPS. In this paper, an intelligent cyberattack strategy optimization framework is proposed to optimize the malicious manipulation of field data such that the history matching solver generates the most inaccurate reservoir model. Our method is based on the advanced Model Reference Adaptive Search (MRAS) technique, and it can be used to evaluate the worst case impact due to the field data manipulation attacks. Experimental results on a standard petroleum CPS testcase demonstrate that the proposed method can reduce the production quality, measured by the weighted mismatch sum of the bottom hole pressure (BHP), the gas oil ratio (GOR), and the Water Cut (WCT), by up to 99.1% when comparing to a random attack.

Original languageEnglish (US)
Title of host publication2016 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume07-10-November-2016
ISBN (Electronic)9781450344661
DOIs
StatePublished - Nov 7 2016
Event35th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2016 - Austin, United States
Duration: Nov 7 2016Nov 10 2016

Other

Other35th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2016
CountryUnited States
CityAustin
Period11/7/1611/10/16

Keywords

  • cyberattack
  • data manipulation attack
  • model reference adaptive search (MRAS)
  • petroleum cyber-physical system (CPS)
  • vulnerability

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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