Pre-commissioning Gas Lift Design Optimisation and Stability Analysis: Application to a High Water-cut Brownfield Well
Adango Fred Hart *
Energy Technology Institute, University of Port Harcourt, Port Harcourt, Nigeria and Sahara Group, Lagos, Nigeria.
Ihuoma Calista Adango-Hart
Energy Technology Institute, University of Port Harcourt, Port Harcourt, Nigeria and CypherCrescent Limited, Port Harcourt, Nigeria.
*Author to whom correspondence should be addressed.
Abstract
Gas lift remains essential for sustaining oil production in mature fields. Yet, despite its widespread deployment, instability‑related losses from heading, cyclic downtime, and compressor-trip shutdowns are often overlooked at the design stage, leading to deferred production. This study addresses this gap by presenting an integrated pre-commissioning workflow that combines nodal analysis, gas lift optimisation, and flow stability criteria, applied to ATIRI-W001T, a well in Atiri Field, Nigeria that quit production at 60% water cut due to vertical lift insufficiency rather than reservoir depletion (pressure depletion < 10% of initial). As part of an uptime improvement campaign, nodal analysis was implemented and identified an optimal gas injection rate of 1.8 MMscf/d within an operating envelope of 0.8 – 2.5 MMscf/d, yielding a predicted oil rate of 828 STB/d. Sensitivity analysis revealed a 94% decline in net oil rate (828 to 46 STB/d) as water cut increased from 60% to 90% BS&W, while the Gas Utilisation Factor (GUF) deteriorated from 2,174 to 65,217 scf/STB, underscoring the economic impact of rising water cut under limited lift gas supply. Flow stability evaluation using Asheim's two-criterion framework returned F₁ = 0.809 and F₂ = 1.028. the study provides a structured workflow for identifying instability‑prone wells and highlights the significance of pre‑commissioning stability verification in gas lift candidate screening and selection.
Keywords: Gas lift optimisation, nodal analysis, mature fields, artificial lift, flow stability, IPR–VLP analysis, prosper modelling, well performance, well optimisation, Niger Delta