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EnerHub

The next-gen platform for oil and gas data management

1-ferris-wheelEnerHub™ ensures that the data you use to make business decisions is trustworthy, up-to-date, accurate, and synched across operational systems. EnerHub modules plug into your systems environment to ensure that you and your team have 100% trust and confidence in the data that drives your business. A cloud-based data management platform designed specifically for oil and gas, EnerHub is the culmination of Stonebridge’s 20+ years of experience in oil and gas business process optimization and data management best practices.

Business Benefits

  • Capture data once and automate distribution across source systems and departments
  • Reduce M&A cost and timeline by 25%
  • Benchmark operational and financial performance against competitors
  • Apply a structured approach to core system setup and process standardization
  • Reduce time reconciling and compiling through a centralized hub
  • Audit data management activities across the enterprise
  • Enable informed, proactive decision making throughout the well lifecycle

EnerHub Modules

enerhub-modules-graphicEnerHub Modules are designed to provide maximum flexibility during implementation, allowing you to target the root causes of your data management challenges and connect people to the information they need to do their work.

  • Data Management – Tools to integrate data from Reserves, Drilling and Completions, Operations, Finance, and third-party sources
    • Data Quality Module
    • Integration Module
    • Master Data Module
  • Analytics – Centralized view of reliable data and visual business intelligence tools based on PPDM’s industry standard data model
    • Analytics Cubes
    • Analytics Packs
    • Upstream Dimensional Data Module
  • Portal – Standard interface for business users to search, access, and export well data and related documents
    • Energy Portal Module
    • Electronic Well File Module
  • Connectors – Pre-configured connectors enabling data access based on best practice techniques for each system

To schedule a demonstration of EnerHub, click here.

EnerHub Data Management Modules provide tools, accelerators, and services to validate, integrate, match, and synchronize data that is critical to oil and gas organizations. The modules can be implemented in an incremental fashion allowing companies to make rapid, tangible progress in their well data management initiatives.

3-dm-dqm-23-dm-dqm-1Data Quality Module (DQM) – To ensure that key business decisions are made based on the most accurate possible information.

Key Features

  • Profile data
  • Validate data at the source
  • Execute pre-built rules and data quality checks
  • Remediate data quality issues
  • Add or extend rules and data quality checks
  • Track quality of data over time

See also EnerHub DQM Use Case: Monitoring and Fixing Data Issues on a Daily Basis.

Data Integration Module – Tools to integrate data from Reserves, Drilling and Completions, Operations, Finance, third-party sources and more.4-dm-dim

Key Features

  • Cloud and hybrid environment support
  • Master data integration
  • Transactional data processing
  • Support for event processing
  • Push and pull subscription models

Master Data Management (MDM) Module – To match, blend and synchronize well information from Reserves, Drilling and Completions, Operations, Finance and third-party sources.

Key Features

  • Matches well data 5-dm-mdmacross systems
  • Blends well data to create a “golden” well record
  • Near real time synchronization with write backs
  • Notifications based on data changes
  • Invokes workflows based on events
  • Audit history for matching
  • Industry standard data model (PPDM)

To schedule an EnerHub demo, click here.

EnerHub Analytics Modules provide a centralized view of reliable data along with visual tools to connect people to data to make informed decisions and drive efficiency in key business processes.

Analytics Cubes – Highly optimized data structures that are designed to support self-serve, interactive viewing of key metrics such as 6-analytics-cubesLOE, volumes, capital spend over time, well, zone, play and more.

Available Cubes

  • Financial & LOS
  • Production
  • AFE
  • Drilling

Analytic Packs – Pre-configured analytic applications tailored to meet the distinct needs of oil and gas professionals.

7-analytics-packsAvailable Packs

  • Financial Analytics
  • Production Analytics
  • Shale Play Optimization
  • Downtime Analytics
  • and more

Upstream Dimensional Data Module – Template data structures optimized for analysis and reporting.

Key Features

  • Predefined dimension and fact tables8-upstream-dimensional-data-module
  • Extendible to meet unique client needs
  • Reduces implementation time
  • Data source for analytic cubes and selected analytic packs

To schedule an EnerHub demo, click here.

The EnerHub Portal Modules provide a starting point and centralized view for oil and gas business users to connect to their data.

9-portalEnergy Portal – Explore wells on a map, access key well documents, and view financial and operational analytics.

Key Features

  • Enterprise Well Search
  • Approval Workflows
  • Seamless access to analytics

10-ewfElectronic Well File – A repository for well documents built on ECM best practices, with documents for all wells organized in a consistent manner, simplifying the tasks of uploading new documents and finding existing ones.

Key Features

  • Starting point taxonomy that can be extended to meet client needs
  • Metadata tagging
  • Enterprise search for documents
  • Integration with ECM back end systems via services layer and APIs
  • Auto provisioning of ECM back end repository structures as needed

To schedule an EnerHub demo, click here.

EnerHub Connectors allow data to be moved in and out of the applications that are commonly found in the oil and gas industry. Application data is accessed via APIs (when they exist) or using other best practice access methods that are associated with each operational system.

Key Features

  • Reduce implementation costs by up to 60%
  • Hides underlying application system complexity
  • Data access based on best practice techniques for each system