analysis of field data from Bakken wells for stimulation effectiveness using data mining techniques

Open Access
Otwe, John Plas
Graduate Program:
Petroleum and Natural Gas Engineering
Master of Science
Document Type:
Master Thesis
Date of Defense:
April 17, 2014
Committee Members:
  • Yilin Wang, Thesis Advisor
  • Andrew Nathan Kleit, Thesis Advisor
  • analysis of Bakken field data
  • stimulation effectiveness
  • lateral length
  • proppants
  • fracture fluids
  • treatment rate
North Dakota has since 2012 become the second largest oil producing state in the USA due to its successful development of the Bakken with improved drilling and stimulation technologies. However, hydraulic fracture stimulation and completion strategies adopted by operators to create massive reservoir contact and conductive pathways for oil and gas flow vary a lot giving a broad spectrum of production results even in the proximity of location in the same field or play. It is critical to continuously evaluate effectiveness of the stimulation treatments with respect to production performances in order to improve on treatment parameters, completion variables and to know the extent to which they could be limited by good geological effects of the acreage under consideration. For this work thousands of well data were screened and about 440 wells with sufficient completion and treatment information were selected for analysis. Production performances in relation to stimulation and completion variables were studied using, engineering and statistical methods as well as analysis for best economic practices. New insights gained through this work will benefit the industry in offering better completion and stimulation strategies across the Bakken.