Optimization of Oil Stabilization Process

Oil stabilization is a critical downstream process that ensures the safe handling and transportation of crude oil by reducing the concentration of volatile components, particularly hydrogen sulfide (H2S). Maintaining H2S levels within a targeted range is essential for operational safety, regulatory compliance, and economic efficiency. This paper presents a case study on the application of Lean Six Sigma methodology to optimize the H2S content in the crude oil stabilization process. The study aimed to reduce variability in H2S levels and maintain them within defined specification limits with a tolerance of ± 5 ppm. The study focused on two key stabilizers within the process, with recommendations for replication across all units. The successful implementation of data-driven improvements led to significant operational benefits, including reduced steam consumption, increased crude yield, and enhanced process control.

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Publication Details

Journal
International Journal of Novel Research and Development
Published
2026-02-01
DOI
https://doi.org/10.56975/ijnrd.v11i2.312570
Primary Topic
Process Optimization and Integration
Type
article
Field-Weighted Citation Impact
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article

Optimization of Oil Stabilization Process

Ramasubramanian Chandramouli
International Journal of Novel Research and Development
Process Optimization and Integration
article

Optimization of Oil Stabilization Process

Ramasubramanian Chandramouli
article en

Abstract

Oil stabilization is a critical downstream process that ensures the safe handling and transportation of crude oil by reducing the concentration of volatile components, particularly hydrogen sulfide (H2S). Maintaining H2S levels within a targeted range is essential for operational safety, regulatory compliance, and economic efficiency. This paper presents a case study on the application of Lean Six Sigma methodology to optimize the H2S content in the crude oil stabilization process. The study aimed to reduce variability in H2S levels and maintain them within defined specification limits with a tolerance of ± 5 ppm. The study focused on two key stabilizers within the process, with recommendations for replication across all units. The successful implementation of data-driven improvements led to significant operational benefits, including reduced steam consumption, increased crude yield, and enhanced process control.

International Journal of Novel Research and DevelopmentVol. 11(2)
Openalex Percentile: Top 53%
Process Optimization and Integration
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