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Advanced Gravel Pack Simulation and Optimization Software Development
  1. case
  2. Advanced Gravel Pack Simulation and Optimization Software Development

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Advanced Gravel Pack Simulation and Optimization Software Development

tatvasoft.com
Energy & natural resources
Utilities
Manufacturing

Challenges in Gravel Pack Design and Optimization

Need for advanced simulation capabilities to design gravel packs under uncertain conditions, handle complex treatment modeling with integrated technology, optimize performance with large datasets, support offline/online operations in remote locations, and maintain accurate 2D/3D visualization while requiring deep domain expertise in oilfield operations

About the Client

Multinational energy company specializing in oil storage infrastructure and gravel pack solutions for upstream operations

Project Goals for Gravel Pack Solution Development

  • Enable simulation of complex gravel pack scenarios with dynamic data analysis
  • Implement dynamic gridding for enhanced accuracy and performance
  • Streamline data handling processes for engineering workflows
  • Achieve precise design optimizations with integrated shunt tube modeling
  • Provide intuitive controls with mobile/offline capabilities

Core System Functionalities

  • Simulation Module with well deviation analysis, completion screens, fluid/gravel management, and pumping schedule visualization
  • Scenario comparison tools with real-time simulation charts and results summaries
  • Evaluation Module with multi-format data import, calibration overlays, and unit system management
  • Licensing system with machine key activation and automated software updates
  • Offline-first architecture with synchronized data handling

Technology Stack Requirements

Microsoft .NET Framework
C# Programming Language
Microsoft SQL Server
DevExpress Controls

System Integration Needs

  • Existing client oilfield data management systems
  • Third-party reservoir simulation tools
  • Multi-format data import/export capabilities

Non-Functional Requirements

  • Offline/online hybrid operation support
  • High-performance data processing for large datasets
  • 2D/3D visualization engine with real-time updates
  • Cross-platform compatibility for field operations
  • Robust security for engineering data management

Expected Business Impact

Enables accelerated gravel pack design cycles with 30% reduced operational costs, improves treatment accuracy through advanced modeling capabilities, enhances field operations efficiency with offline functionality, and provides competitive advantage through proprietary simulation technology integration

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