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Optimizing Offshore Sand Control

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Ocean tower 2, Unit 23 floor, 75/46 Soi Sukhumvit 19 (Wattana), Sukhumvit Road, North Klongtoey, Wattana, Bangkok 10110
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Call : +66994200465 |
+66 2 258 6228
Email : info@techcurve.co | sales@techcurve.co
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Monday – Friday
8:30hrs – 17:30hrs

Company Background

Chevron Thailand Exploration and Production, Ltd. operates an extensive offshore wellhead platform network in the Gulf of Thailand. With over 100 active platforms, maintaining mechanical integrity in high-sand production environments is a continuous operational priority. 
Sand production is a known challenge in mature offshore reservoirs and directly impacts pumps, hydrocyclones, separators, and downstream compression systems. 

Challenges

Sand ingress into upstream systems created recurring reliability and performance issues: 
  • Accelerated erosion of pumps and piping 
  • Increased vibration in rotating equipment 
  • Reduced hydrocyclone separation efficiency 
  • Manual sand cleanout campaigns 
  • High offshore workforce exposure 
Operationally, sand monitoring relied on: 
  • Manual inspection routines 
  • Reactive vibration analysis 
  • Disconnected historian systems 
  • Limited real-time insight into hydrocyclone performance 
Because data was distributed across multiple process historians on different platforms, engineering teams lacked a unified, scalable view of sand behaviour trends.  The result was shortened equipment life, production instability, and unnecessary maintenance intervention. 

Solution

Chevron implemented a centralized analytics framework using Seeq to connect and contextualize sand-related operational data from multiple offshore process historians. 

1.Historian Integration
Data streams including: 
  • Pump vibration 
  • Flow rates 
  • Pressure differentials 
  • Choke positions 
  • Hydrocyclone parameters 
were connected from various historians and streamed into Seeq in real time.  This eliminated fragmented analysis and created a single operational data environment. 
2. Self-Service Analytics
Using Seeq Workbench, production and reliability engineers developed their own sand monitoring models without reliance on data science teams.  Key analytics included: 
  • Custom hydrocyclone “K-value” performance calculations 
  • Correlation of vibration spikes with sand breakthrough events 
  • Differential pressure trend monitoring 
  • Event analysis of historical sand-related failures 
Because analytics were self-service, engineers could iterate rapidly and refine models based on field knowledge. 
3. Proactive Sand Control
Real-time dashboards were deployed to the Integrated Operations Centre, enabling: 
  • Early detection of sand breakthrough 
  • Optimized choke management 
  • Stabilized hydrocyclone efficiency 
  • Reduced erosion risk 
Operators could now intervene before vibration escalated into mechanical damage. 

Benefits

Operational Efficiency 
  • Reduced unnecessary sand cleanout interventions 
  • Improved hydrocyclone separation stability 
  • Extended pump runtime 
Asset Reliability 
  • Lower vibration levels in upstream pumps 
  • Reduced erosion-related equipment damage 
  • Early detection of sand breakthrough events 
Sustainability 
  • Reduced offshore helicopter trips and personnel exposure 
  • Lower material replacement frequency due to extended equipment life 
Organizational Impact 
  • Unified visibility across 100+ platforms 
  • Eliminated manual historian data extraction 
  • Empowered engineers with self-service analytics capabilities 

Cost Saving

Extended pump runtime, avoided erosion damage, and reduced offshore intervention campaigns generated significant operational cost reduction. 
To understand the quantified impact model — including avoided equipment replacement, reduced downtime, and offshore manpower savings — connect with us to review the cost-saving assessment methodology. 
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Contact Us

Ocean tower 2, Unit 23 floor, 75/46 Soi Sukhumvit 19 (Wattana), Sukhumvit Road, North Klongtoey, Wattana, Bangkok 10110

+66994200465 | +66 2 258 6228 

Mon – Fri: 8:30hrs – 17:30hrs