Application of Big Data analysis systems for drilling operations optimization

Renat Dzhafarov

Research output: ThesisMaster's Thesis

Abstract

In the conditions of market uncertainty, unstable oil price and development of oil and gas field with complex geological structure, the tasks of optimization and costs reduction for well construction become especially relevant for oil and gas producing and drilling service companies. The current situation is forcing companies to reduce volumes of drilling and abandon a number of planned projects. The time spent for a well construction basically depends on drilling crews’ qualification and coordinated work of all service organizations involved in the process. The means of increasing the work speed are not only transition to the use of more sophisticated equipment, but also rational and efficient organization of all processes. The thesis focuses on costs reduction for a well drilled by Gazprom EP International, which could be achieved with mud logging data processing using the ProNova data analysis system. Key features, advantages and disadvantages of the technology are discussed and potential time savings are calculated.
Translated title of the contributionAnwendung automatisierter Big-Data-Analysesysteme zur Optimierung der Bohrvorgänge
Original languageEnglish
QualificationDipl.-Ing.
Awarding Institution
  • Montanuniversität
Supervisors/Advisors
  • Thonhauser, Gerhard, Supervisor (internal)
  • Kuropatkin, Grigory, Supervisor (external), External person
  • Gelfgat, Mikhail, Co-Supervisor (internal)
Award date28 Jun 2019
Publication statusPublished - 2019

Bibliographical note

embargoed until null

Keywords

  • automatization
  • Key Performance Indicators
  • crew performance efficiency
  • time & cost savings

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