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Digital in Upstream Operations

BCG has partnered with companies to improve and optimize their operations in three key dimensions: maintenance program efficiency, workforce efficiency, and predictive failure modeling.

Maintenance Program Efficiency

Companies face a number of issues when planning and executing their routine maintenance programs:

  • Significant amount of non-value-adding maintenance work
  • Uncertainty about optimal maintenance intervals
  • Lack of clarity around root causes of failures
  • Lack of adequate procedures for operators and technicians to address real root causes of failures

BCG has helped these companies address such issues by taking advantage of big data sets, natural language processing tools, and failure-pattern recognition in order to adjust preventive maintenance schedules and operator routine duties, as well as to optimize maintenance work orders. 

Workforce Efficiency

Planning site maintenance is complex and often consumes significant overhead. Digital technology can improve schedule quality and execution while reducing the administrative burden on planners and support groups.

​BCG has developed Cadence, a schedule optimization and workflow management system that supports maintenance teams throughout the maintenance cycle. Our approach enables teams to increase their schedule efficiency and adherence, reduce maintenance backlogs, and improve plant performance.

Cadence: Redefining Maintenance Excellence

Predictive Failure Modeling

Equipment failure can lead to heavy maintenance costs and production losses. But with machine learning and supervised training techniques on big data sets, teams can predict equipment failure in advance.

BCG has leveraged these tools to help companies drive behavioral change by moving from fixed failure-prevention models to a dynamic variable model in which proactive interventions take place before failures occur. 

Center for Digital in Oil & Gas
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