Page 199 - Intelligent Digital Oil And Gas Fields

Workflow Automation and Intelligent Control 155

production optimization, and forecasting. Automation can be facilitated by a
common platform for a data model that consolidates data sources and by a
toolkit (commercial or customized technical software) that provides analytic
diagnostics and optimization.
Examples of Automated Processes or Candidate Processes for Automation.
Repetitive tasks that require minimum engineering support are as
follows:
• Continuous asset surveillance:
– well status (flowing, injection, and shut-in) and production uptime
– data cleansing and high-level data filtering
– estimation of production gains and losses against daily and monthly
targets
– production back-allocation
– real-time KPI production monitoring
– priority updating of well tests
– artificial lift status and operational parameters
– event notification
• Asset optimization:
– capacity constraint and operating envelope
– flow assurance and well integrity
Repetitive tasks that require engineering support are as follows:
• Diagnostics and analysis:
filtering and conditioning data using statistical approaches
data validation and reconciliation of physical models
well rate virtual metering-based model (which includes multiphase
flow and well and flow interval allocation)
well test validation and well model updates
well integrity and failure analysis
curve-fitting decline- and type-curve analysis
rate and pressure transient analysis
• Optimization:
weekly production optimization and short-term forecasts (e.g.,
1–7day ahead) including GL, electro-submersible pump (ESP), and
progressive cavity pump (PCP), Rod Pump (RP), and other artificial
lift methods
monthly production optimization and long-term forecasts (>7days)
production back-allocation and production and injection mass-
balance management