Artificial intelligence (AI) and machine learning (ML) promise to drastically improve the efficiency and output of today’s oilfield. Here are just some of the objectives we are striving for: AI models can monitor each well 7 days a week for 24 hours a day, automatically detecting and diagnosing any sub-optimal
We are excited to announce the return of our 30-minute Webcast series. Please join us for a special 2-part edition on October 14 & 21. How OspreyData’s ‘Rapid Event Highlighter’ Enables You to GO LIVE Faster w/ Smarter Production Analytics Part 1: Wednesday, October 14 at 9AM CT / 7AM PT
Parametric analysis is a common exercise employed by production engineers in well modeling and decision making. The figure above displays a set of gas injection performance plots (Oil production rate vs. Gas injection rate) resulting from a parametric analysis of a physics-based simulator. In an example 10-day window of observation,
We asked a Production Engineer what “a day in the life” is like, and what are common challenges that are faced as an operator or engineer. This P.E. was responsible for 300 to 400 wells, predominantly rod pumps at one producer and then ESP’s at another. What were some of
The transient nature of well properties contributes greatly to uncertainty and makes optimization an ongoing challenge for the production engineering team. The figure above provides a snapshot of a few key operating parameters of a well on an unconventional formation, over a two-month range. During this period, the oil production
The objective of gas lift optimization is to maximize the current output from a well by addressing the relationship between oil production rate and gas injection rate. The key parameter describing this relationship is the marginal increment in oil production rate per unit change in the gas lift injection rate.
We asked a Production Engineer what “a day in the life” is like, and what are common challenges that are faced as an operator or engineer. This P.E. was responsible for 300 to 400 wells, predominantly rod pumps at one producer and then ESP’s at another. What were some of
Moving to a digital oilfield is a critical enabler for producers in oil and gas. A critical focus is now on reducing operating costs, increasing employee productivity, and improving the ability to make informed and timely data-based decisions. For most oil and gas companies, the goal is clear, but the
OspreyData is here to help you launch your digital oilfield today! We have built a SaaS (Software as a Service) model to empower the various needs of Production, Field Operations and Analytic Teams supporting Artificial Lift in Oil and Gas. In addition to enabling operators to build a digital oilfield,
