Distributed drilling operations required a unified and comparative view of the process (time x depth), with reliable annotations and centralized histories, while maintaining a local UI at the wells for “near-rig” decision-making.
Specific pain points:
Manual consolidation of disparate data (WITS/WITS0/WITSML) for performance analyses.
Difficulty comparing wells (current vs. historical) by time and depth.
Need to maintain local operability (offline/low connectivity) and corporate mobile visualization.
Impact: Delays in diagnostics, lower operational standardization, higher logistics cost, and risk of decisions based on incomplete data.
Example: “Without a consolidated historical trail, each well required ad-hoc compilations for post-operation analyses, impacting the optimization of drilling parameters.”
Edge: FrameworX EdgeConnect with local UI.
Central: FrameworX Enterprise.
Clients: WebAssembly/HTML5 and SmartClient for operations/engineering.
Corporate historian: OSI PI (Data Archive/AF as applicable).
Annotations: Ingestion via WITSML + operators’ manual annotations.
External calculations: On Edges and central (aggregations, KPIs, prediction), integrated with FrameworX.
Scale: >30 simultaneous wells sending data; 200+ historical wells available for comparison.
[Well/Edge Site] [Datacenter/Cloud]
?? Rig Equip. ?????????????????????????????????
? ?? WITS0/WITS ? FrameworX Enterprise ?
?? FrameworX EdgeConnect + Local UI ????????? • Broker/Ingress (MQTT/HTTP) ?
? • Collection (WITS0/WITS) ? • Integrations (WITSML) ?
? • Calculations (aggreg./prediction) ? • Corporate calculations ?
? • Buffer/Store&Forward ? • APIs/WebAssembly Displays ?
?? Connectivity (Cellular/Ethernet/VSAT) ? • PI connector (OSI PI) ?
???????????????????????????????????
?
[OSI PI System]
?
[Web/Mobile/SCADA]
|
Layer | Component | Role | Notes |
|---|---|---|---|
Edge | FrameworX EdgeConnect | WITS0/WITS acquisition, local UI, calculations, buffer | Resilient operation with intermittent connectivity |
Transport | Cellular/Ethernet/VSAT | Telemetry and configuration | TLS, compression, and store-and-forward |
Central | FrameworX Enterprise | Ingestion, orchestration, APIs, Displays | Multi-site; solution versioning |
Data | OSI PI | Corporate historian | Data Archive + AF (where applicable) |
Clients | Web/Mobile/SmartClient | Visualization and engineering | Comparisons by time/depth; annotations |
Hybrid: cellular/ethernet/VSAT, with TLS and store-and-forward at the Edge.
Logical isolation by well (independent solution) and by environment (dev/test/prod).
Edges: Independent operation with local buffering and local UI (continuity even offline).
Central: Redundancy of critical services (ingestion/visualization) and PI backups.
Collection: WITS0/WITS (drilling equipment).
Metadata/Annotations: WITSML (events/intervals/observations from the drilling system) + operator input.
Corporate: OSI PI as historical repository and source of corporate reports.
Edge: Local buffer (store-and-forward) + calculations close to the source.
Simultaneous wells: 30+
Tags/Signals per well: 500
Ingestion rate: Read cycle each 3s
Users/connections: 10-15 simultaneous
LDAP Connection to external users
WITSML servers (rig providers), OSI PI (connectors/SDKs), data/ML pipelines (when applicable).
EdgeConnect with local UI & store-and-forward
Resilient operation at the well; offline continuity; reliable synchronization.
WebAssembly/HTML5 Displays
Mobile and distributed access without tight dependency on the Edge environment.
Independent solutions (Edge/Central/UI)
Distributed, versioned, and secure updates, with controlled rollback.
Dual-axis data model (time/depth)
Visualization and comparison across wells aligned by time or depth.
WITS/WITS0/WITSML ingestion/normalization
Fusion of near-real-time signals and automatic + manual annotations.
Why wasn’t this trivial on other platforms? Combination of resilient Edge + local UI, scalable WebAssembly, solution independence, and WITS/WITSML normalization ready for time/depth comparison.
Eliminated manual data consolidation - Automated integration of WITS/WITS0/WITSML data streams replaced ad-hoc compilations, reducing analysis time from hours to real-time processing across 30+ simultaneous wells.
Enabled well-to-well performance comparison - Dual-axis visualization (time/depth) now allows direct comparison of current drilling with 200+ historical wells, improving drilling parameter optimization.
Achieved offline operational continuity - EdgeConnect with local UI and store-and-forward ensures uninterrupted drilling operations even during network outages, preventing data loss and maintaining near-rig decision capability.
Centralized historical data trail - Integration with OSI PI corporate historian created a single source of truth for all drilling operations, eliminating previous gaps in post-operation analyses.
Reduced operational delays and costs - Standardized data collection and automated KPI calculations decreased diagnostic time, lowered logistics costs, and minimized risks from incomplete data.
Scaled to enterprise-level operations - System successfully handles 500 signals per well, 30+ concurrent drilling operations, and 10-15 simultaneous users with 3-second data refresh rates.
Preserved local control with global visibility - Maintained critical near-rig UI for immediate decisions while providing corporate teams with mobile and web access for strategic oversight.