The primary objective of Production Operations is to operate every well in the field at peak economic efficiency levels at all times. That is to say, the goal is to sustain maximum fluid production with minimum cost inputs across the field, keeping lease operating expenses (LOE) down while keeping profits up. The highest value lever by which this is achieved is through artificial lift optimization.
As a former Marathon Oil production and reservoir engineer who has personally managed nearly 1,000 wells in the company’s core play, Jesse Filipi understands first hand how time-consuming set point optimization can be. During his time at Marathon, the company underwent a massive well expansion. But, despite the steep growth curve, Jesse felt that he and his team were not given the tools to be successful. Considering that the engineering team is effectively the revenue center of any production company, he knew there had to be a better way to effectively manage large scale well operations.
Topics: Production Operations, SCADA, Value Creation, Feature Engineering, Data Science, Artificial Intelligence, Machine Learning, Optimization, Horizontal Wells, Automation, Production Engineering, Artificial Lift, Disruptive, Pump by Exception, Essential Well Management
With data science and analytics permeating industrial, financial, and consumer technology sectors, oil and gas producers have begun to invest in and explore the potential for these tools to add value in upstream activities. To date, most E&Ps have experienced mixed success, with value coming mainly in the drilling & completions business units (1-4).