Structured Application Data Management: How to Build a Managed Data Environment for Standalone G&G Applications
Over the last decade, the popularity of standalone, desktop-based G&G applications has increased significantly.
These applications provide a lot of functionality at an affordable price point for small to medium sized asset teams. However, as teams grow and projects accumulate, so too do the numbers of applications, users, and data volumes.
Eventually, the amount of data that has been imported into and generated by these applications becomes impractical to manage. Furthermore, because all of the data in these standalone applications resides only on individual desktops, it becomes nearly impossible to re-use and share the data that has been acquired, processed, and interpreted without the aid of a data management solution.
Drawing on a range of operator case studies, this exclusive webinar will provide you with a step by step guide to how you can implement a fully structured data management solution for your application environment that will:
- Provide centralized data storage for all of your vetted corporate data
- Integrate with your existing G&G applications so that users can easily retrieve and publish data
- Provide data custodians with the QC tools they need to maintain data quality and integrity
- Give users the ability to browse, search and query all of the data that is available
- Allow project managers to easily document and archive project data at important milestones
Principal Consultant for Data Management Services
Landmark Software and Services
Dale has over 22 years of industry experience specializing in E&P information systems. He has worked on a wide range of projects including seismic and well data management, data archiving, software product management, and information solutions consulting. Dale has implemented enterprise-wide information management solutions for major international operators and national oil companies, and he has led software development efforts to build new, user-focused E&P data solutions.
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