
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,

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.

Artificial Intelligence in Oil and Gas is becoming a very popular topic. MIT’s Sloan School of Management’s article, “Reshaping Business with Artificial Intelligence,” found that 85% of corporate executives surveyed believed that AI would help their businesses gain or sustain competitive advantages. What does that look like for oil and

With some key objectives in mind, we have developed a set of building blocks. We believe an effective monitoring solution must have robust abilities that can do the following: – Visualize, annotate and track complex time series sensors across devices and lift types – Construct and configure meaningful, actionable dashboards

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,