Predictive Analysis

Why Data Quality Matters

In our last blog, we covered the importance of quality data across well cohorts.  In this last blog of our series on data quality, we will address why data quality matters. For production, if an organization is consistently using allocated production, actual production may vary by roughly 10%. At OspreyData,
Predictive Analysis

Predictive Analysis Requires Quality Data Across a Well Cohort

A well cohort describes the group of wells that OspreyData uses to create a modeled solution for your oilfield.  Quality source data among well cohorts are essential to predictive analysis.  In an artificial intelligence project, it is important to understand that all wells might not be candidates to participate in
Predictive Analysis

Consistency and Connectedness of Source Data Quality

The consistency and connectedness of source data are also important dimensions when evaluating source data.  Consistency refers to the frequency of updates or new values in a time series data stream, while connectedness indicates the ability to trace a thread of connections for a well across all of the source
common transformational challenges
Petroleum Expertise, Unified Monitoring

3 Challenges In Digital Transformation

At OspreyData, we have had a front row seat on how organizations are approaching and progressing in their digital transformation. This naturally means that we have seen some of the challenges in digital transformation that organizations may face! In this post, we discuss three of the challenges we commonly see
ospreydata predictive analysis coverage and continuity equate to source data quality
Predictive Analysis

Coverage and Continuity Equate to Source Data Quality

Coverage and continuity of source data are important dimensions when evaluating source data.  Coverage describes the number of data sources that are available for a well. Many of the models that are used in advanced systems, such as OspreyData, are combining sensor based machine learning models with physics based models.
Production Optimization

Source Data and Impacts of Data Quality

In using source data, understanding the behavior of a well can be tied to the details found in the signals provided by that well. However, what if those signals are somehow masking issues rather than illuminating them? To better explain, consider the figure above. This shows the gas injection rate
Single Tool

Data Quality Assessment and Services

We provide organizations with a full set of services to aid in their digital oil field transformation and enable complex AI based solutions. After identifying possible operational challenges or significant field failures, OspreyData provides a Data Quality Assessment for our clients. Here are the steps that a typical Data Quality