InnerLogix Solution Improves and Automates Data Management at Seneca Resources Corporation

Seneca Resources Corporation, the exploration and production segment of National Fuel Gas Company, wanted to improve its data management practices. Its existing system was inefficient and not properly integrated. Users had to manually update working projects first, and then update the master database to allow other working projects to access the revised data.

New well data was often supplied in raw spreadsheet format and required cleaning, validation, and processing so it could be used in Seneca's project databases—a process that took up to three days. When new wells were generated by the Seneca's geological and geophysical team, information had to be manually entered into at least four systems. Updates made by the operations team then required additional changes to the master and project databases.

In addition, setup took several days of manual editing and quality checking. Users needed to be logged off the project databases for this to occur, causing additional downtime.

Automated advantages

After meeting with Schlumberger to discuss possible system improvements, it was agreed that introducing the InnerLogix data quality management solution would be the best course of action. The InnerLogix solution enables geoscientists to analyze and quality check well header, casing, and deviation survey data in multiple projects—automating cleaning and maintenance work to ensure people’s valuable time is spent on assessment and analysis.

The team implemented the InnerLogix solution, configuring an automated synchronization process to eliminate the need for manual data correction. To achieve this, the system uses a defined hierarchy, correction rules, and searches across all corporate databases. The software system is then used to validate and identify missing, incomplete, inconsistent, and erroneous data—as well as propagate project database corrections. This new process was designed to reduce data processing time and increase potential data processing volume.

Data processing times are also significantly reduced—having previously taken up to three days, new data input now takes 45 minutes or less using the automated InnerLogix processes. This saves valuable time and allows skilled resources to focus on the most productive tasks.