The Full Lifecycle Management of Wellbore Data at Statoil
Statoil has embarked on a project to implement a complete set of workflows to efficiently manage the full lifecycle of wellbore data. The key focus of the new workflows is to fully automate the processes while at the same time to allow the Petrophysicists to monitor and approve data.
The Ups and Downs of Automated Workflows in Eni's Well@Desk Initiative
Learn about Eni's experience of implementing new workflows and the application of data verification procedures to existing data in the corporate database.
The Challenges of Integrating Structured and Unstructured Data
All organizations are aware that a considerable amount of technical and business information and knowledge resides in both the structured data bases and in unstructured repositories (i.e., documents, emails, etc). Simply enabling independent searches of these does not produce the most value.
The Business Value of Managing and Integrating Information
The energy industry is one of the most knowledge- and capital-intensive industries in the world today. Over the past decade, energy companies have recognized that the use, management and preservation of information and data are key to achieving business success.
A Portal for Upstream Operations with Microsoft Upstream IT Reference Architecture
Turning data into information that can be used to make the right decisions at the right time is central to oil and gas upstream operations. While that statement is simple, anyone working in exploration and production knows that turning the tsunami of data generated on a regular basis into information is a complex and multifaceted undertaking.
Log Data Life Cycle: Delivery of Desktop-Ready Digital Logs
One of the more complex data types to manage in oil and gas exploration and production is log curve data. Different media, versions, level of quality, acquisition companies, and formats constitues a huge challenge for data managers.
Rewiring the E&P Corporate Well Memory
A Case Study on Well Master Data Management and Data Quality
Many different technologies and data management approaches have had modest success in improving the “corporate well memory”; however, a new technique called Well Master Data Management is proving to make a difference. Yet, if approached incorrectly, at best it can fail, and at worst it can compound the memory problem.
A Data Quality Roadmap for Upstream Oil and Gas
We’ve all heard the saying, "what you don’t know can’t hurt you". But if well data passes through at least 50 hands during its asset lifecycle and across a number of different applications, then it’s no surprise why industry professionals aren’t turning a blind eye to data quality concerns.
CSI and Forensic Data Quality Techniques: A Case Study on Resolving a Conversion Gone Bad
Data from an acquired company’s well drilling and completions system was converted into the corporate system. Six months later, the company has missing critical well asset information, incorrect information was attributed to the wrong wells and reporting information was obviously wrong. The users had lost trust in the system, couldn’t determine the cause and had no way of knowing how to fix the problem. The crime to be solved – what happened and what can be done to remedy the situation?