Page 353 - Intelligent Digital Oil And Gas Fields

296 Intelligent Digital Oil and Gas Fields

Phase 1: Enable pump by exception
• data integrity and cleanup
• production surveillance operations with basic dashboard and rationalized
reporting
• production surveillance engineering dashboard for well surveillance
• alarm rationalization
• basic intelligent alarms and data validation and conditioning
• basic well pad automation evaluation
• collaboration evaluation
Phase 2: Enable integrated production operations
• advanced integrated production operations (IPO) dashboards
• automated well review by exception and by well priority and make well
review on demand
• alerts for wells producing or not
• automated downtime code analysis and volumes
• intelligent alarms (leaks, predictive maintenance)
• in-line/real-time data validation, cleanup, and conditioning (SCADA
data, PVT, and BTU calculations)
• field notes/text notes system upgrade and rationalization
• ticket system for field interventions
• basic well pad regulatory control (choke, gas lift)
Phase 3: Enable collaborative optimization
• collaboration protocols established
• virtual metering in place
• advanced, automated well reviews
• target setting (subsurface collaboration)
• automated gas lift optimization/opportunity notifications with predic-
tive analytics suggestions and data-driven models
• automated rod pump optimization/opportunity notifications with pre-
dictive analytics suggestions and data driven models
• flare management
• facilities automation
• advanced human–machine interface (HMI) design
Phase 4: Enable (or at least work toward) “closed-loop” asset optimiza-
tion including production, operations, and reservoir
• closed-loop optimal regulation and capacity management
• facility scheduling and balancing
• daily route optimization
• integrated field planning and delivery
• production downtime sheltering