Accurate Data Quality = Early Detection
When addressing wells, or cohorts of wells, eventually the question comes to mind. Why does the quality of the data matter? For production, if an organization is consistently using allocated production, actual production may vary by roughly 10%. At OspreyData,
The Impact of AI on Oil & Gas Organizations
The impact of Artificial Intelligence on an organization is an important topic when considering machine learning. In a previous blog entitled, What Artificial Intelligence in Oil and Gas Brings to Production, we discussed a summary of key solutions that AI
Quality Source Data is More Than Just Sensors
When we consider the good source data required to power machine learning, we must consider the full life-cycle of the well. Most use-cases that OspreyData is building have moved beyond utilizing just a set of time-series sensor values. Well designs and
Successful Collaboration Leads to Success with EGML
A major challenge has been to foster cooperation between two groups with such different skills and backgrounds, O&G operation and data science. Failure of many projects is due to failure of collaboration of these groups to understand one another to
Benefits of Artificial Intelligence in Oil and Gas Production
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
What Kind of Events Can AI Detect?
When it comes to event detection, a common question we receive is, what kind of events can AI detect? We sub-categorize these events of interest into four different types: 1) High-Risk Events, 2) Sub-Optimal States, 3) Events Needing More Lead