E & P Improves Production with an Integrated Data Environment
Oil and Gas has taken an applications approach to technology, limiting the ability to use data as a valuable asset for cross-functional optimization. But with challenges such as unconventional extraction and data lost when not used, production is not at the levels it could be.
Achieve Drilling and Production Excellence with Predictive Data Analytics
Oil and Gas companies have simulations and dashboards that tell you when to repair or replace assets and equipment. What’s lacking is their ability to help you predict what’s coming and the ramifications not proactively repairing an asset might cause to your bottom line. From production surveillance to equipment reliability, predictive analytics can have a big impact on optimization.
Increase the Value of Drilling and Sensor Technologies with Analytics
Phenomenal data volumes are challenging operational and sub-surface data management. Data integrity and security is often compromised due to duplication, quality or loss issues. Every issue on a well that can’t be resolved results in costly non-productive time (NPT). A combination of drilling innovation and data analytics can solve these issues.
Drilling More Safely through Real-Time Data Acquisition and Analytics
Data Consolidates Management of the Asset Lifecycle
An oil field is composed of many assets, but it’s difficult for asset managers to know the exact status of a given asset at a specific time. Integrated data consolidates the end-to-end visibility into assets, how they are performing and the inter-relationships that can be optimized to increase reliable production.
Finding the Value in Upstream E & P Data
Data may not be new to oil and gas companies, but what they can do with it today – given the developments in data management technologies – certainly is. Transformation becomes possible when cross-functional data can be brought together to offer new insights that increase production, reduce shut-ins and improve operational efficiencies across disciplines.
Reduce Operational Complexity to Cut NPT
The upstream industry loses $8 billion dollars per year in Non-Productive Time (NPT). Engineers spend 70% of their time searching for and manipulating data. Applying a unified data structure to draw together production and drilling with geological and geophysical operations leads to fewer drilling days, eventually saving hundreds of millions of dollars.
Oil and Gas Companies Need a Unified Data Architecture
Discipline-specific applications inherent in legacy systems will not enable the extraction of value from data needed to optimize upstream field production. New technologies that provide interoperability, scale and performance provide a unified data architecture that delivers.
Learn about Teradata’s Unified Data Architecture
Decisions Hastened by Linking Real-Time Data and Models
Pipeline companies struggle with the constraints on performance imposed by the isolation of real-time data to engineering and economic models. An integrated data environment that can store data once and use it repeatedly can raise the daily productivity of both models by more than 150 additional value-added work days per year per person.
Realize New Value from Existing Data
Big Data Analytics: An Analytical Ecosystem for Integrated Operations
To meet the business imperatives for continuous and iterative workflow with the rapid reprocessing of new data in the context of current knowledge, pipeline companies require a more global conceptual and architectural framework. It’s time to bring performance and rigor to a workflow dominated by niche applications and interoperability challenges.
Improve Knowledge Management Over the “Life of Field”