Data Continuity, Granularity, and Latency
Following up from our last post, we will take a close look at Continuity, Granularity, and Latency in this post. What are these aspects of data quality and why are they so important? Continuity – How much source data is available
6 Aspects of Data Quality that Align with Problems
When looking at controlling costs as an oil and gas operators, it is important to look at the data quality for what you are using to solve problems and to measure your ROI. Do you have complete enough data at
Operator Challenges in Controlling Costs
E&P companies are facing common pressures across the oil and gas industry to reduce lease operating expenses. The prices of oil and gas has swung widely - even seeing hundred dollar per barrel swings in the recent past. Pandemics, OPEC effect
6 Common Data Quality Issues and the PPDM Data Model
In Production Operations, more and more devices have data collection and the type and frequency of the data collected is growing exponentially. We often hear from organizations about their struggles with their available data. It may be collection, or retention, or
Digital Twins: Ideas On Increased Diagnostics In Oil Fields & Platforms
In the recent April 2020 Journal of Petroleum Technology article, Upstream Digitalization is Proving Itself in the Real World, the author wrote about “Using the Cloud To Turn Big Data Into Smart Data” and how Digital Twins are being used
OspreyData Offers Failure Detection and Assessment Services
At OspreyData, we provide organizations with a full set of services to aid them in their digital oilfield transformation and enable complex artificial intelligence-based solutions. After identifying possible operational challenges or significant field failures, OspreyData provides a data quality assessment for