Shaping AI-driven Field Operations Planning for a Global Energy Company

“Field engineers must update service requirements, allocate tools, and assign personnel for each job, often leading to inefficiencies and delays.”

Background and Business Challenges

Solution and Benefits

When Field Operations Need Optimization in Resource Allocation

A leading oilfield services provider manages job execution across 18+ business lines in more than 180 countries through an integrated digital platform. Effective planning of resources—products, materials, equipment, and personnel—is critical to ensuring smooth job execution but remains a time-intensive, manual process.

Field engineers must update service requirements, allocate tools, and assign personnel for each job, often leading to inefficiencies, delays, and inconsistent resource utilization. The challenge is further compounded by the complexity of operations across diverse job environments, well types, and commercial conditions.

Enabling AI-powered Efficiency in Field Operation

Infosys developed advanced multilabel classification models to streamline field operations planning. The AI-driven solution considers key parameters—including business line, job group, operating conditions, remote operations, and well/rig specifications—to intelligently predict necessary equipment, part numbers, and personnel for wireline and well service operations.

Benefits:

Optimized Resource Planning: AI-driven predictions improve efficiency in allocating tools, equipment, and personnel.
Greater Operational Visibility: Enhanced forecasting ensures better preparedness for field execution.
Increased Productivity: Automation minimizes manual effort, reducing planning time and improving decision making.