Rock Flow Dynamics
Integrated Workflow for Automated Optimization of Infill Drilling Locations Using Reservoir Simulation and Advanced Algorithms
Summary
This case study describes the application of an automated workflow combining optimization algorithms and reservoir simulation to select optimal infill drilling locations in a large carbonate oil field...
Value Drivers
Challenges
- Identifying optimal infill drilling locations in a large, heavily faulted carbonate oil field with over 400 active wells.
- Lack of real-time visibility into operations
- Difficulty in scaling current infrastructure
- High operational costs due to legacy systems
- Poor data integration across departments
4 more challenges available
Solutions
- Implementation of an integrated, automated workflow combining cutting-edge optimization algorithms with reservoir simulation.
- Deployed real-time monitoring and analytics platform
- Migrated to cloud-based scalable infrastructure
- Modernized legacy systems with new technology stack
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Outcomes
- 8 out of 9 original well locations were moved to more optimal positions.
- Achieved 24/7 real-time visibility and monitoring
- Successfully scaled operations to support 3x growth
- Decreased operational costs by 40% annually
3 more outcomes available
Products
Software Solution
Automated Well Location Optimization Workflow
A workflow integrating advanced optimization algorithms, reservoir simulation, and customized Python scripts for optimal well placement.
Sample Category
Sample Product 2
Sample product description for demonstration purposes.
Sample Category
Sample Product 3
Sample product description for demonstration purposes.
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Target Organization
Kuwait Oil Company
Description: A leading oil and gas operator responsible for the exploration, drilling, and production of hydrocarbons in Kuwait, including management of large, complex carbonate fields.
Industry:Oil & Gas