Improving Field Measurement Accuracy Through Equipment Relocation

Published at Jun 1, 2022

Value Added: Informed equipment relocation, improved metering accuracy, enabled more effective daily optimization on the order of
Skills Used: Python, Uncertainty Modeling, Gas Lift Optimization, Reservoir Engineering
#Uncertainty Quantification#Optimization#Metering

Summary

Building on the foundations of well test metering uncertainty analysis, this project quantified the benefit of relocating a test separator from a decommissioned drillsite to another location lacking proper test equipment. By combining the uncertainty model with a gas lift optimization workflow, the analysis demonstrated the value of improved metering for daily field optimization and supported the decision to execute the relocation.

Project Highlights

  • Integrated uncertainty quantification with a simple gas lift optimization model to assess the impact of metering error on field operations
  • Modeled the effect of improved measurement accuracy on daily optimization outcomes
  • Provided a data-driven justification for relocating the test separator and measurement equipment
  • Supported operational decision making and resource allocation for field metering improvements

Technical Innovation

  • Combined uncertainty modeling and optimization to quantify the operational value of improved metering
  • Developed analytical workflows to simulate optimization scenarios under varying measurement error
  • Enabled more effective daily optimization by reducing uncertainty in production data

Impact

The project directly informed the relocation of a test separator and associated measurement equipment, improving metering accuracy and enabling more effective daily optimization. The approach provided a clear, quantitative rationale for equipment investment and laid the groundwork for future metering prioritization and optimization initiatives.

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