Enhancing Production Efficiency with Machine Learning

How We Partnered with AWS to Create a Novel Energy Platform

At a glance

STRATEGIC PARTNER

SERVICES

Artificial Intelligence
CX+
Data & Analytics

INDUSTRY

Energy & Resources

A global oilfield services company sought to improve productivity and operational efficiency for its customers. Using EPAM’s AI Factory multi-tenant blueprint and the Amazon Web Services (AWS) suite of tools, we leveraged artificial intelligence (AI) capabilities to enable customers to improve production efficiency.

Leveraging Machine Learning to Better Serve Customers

Our client, a leading oilfield services company, had a clear vision. The company wanted to leverage predictive AI models and machine learning (ML) to better serve its customers by optimizing oil well productivity.

By corralling data from sensors, equipment documentation and a digital twin, EPAM and AWS, in collaboration with the client, delivered a comprehensive ML-driven solution to detect and predict critical equipment conditions. The solution was further enhanced with GenAI-driven capabilities to prescribe possible resolutions to extend the equipment's useful lifetime.

The primary challenges included:

Inefficient Production Processes

Limited ability to optimize production led to increased operational costs and reduced throughput.

High Unplanned Downtime

Frequent unexpected downtime contributed to significant operational disruptions and financial losses.

Incomplete Data

Sparse and incomplete data, which was mitigated through advanced ML techniques.

Making Data Work for Us

To address these challenges, we used EPAM’s AI Factory multi-tenant blueprint, focused primarily on enhancing AI capabilities both in the back-office and production environments. The solution included several key components:

Data Labeling

Iterative Model Refinement

MLFLOW Integration

Custom Data Pipelines and Features

Time-Series Data Labeling

Advanced Predictive Models

Data Visualization

ML for the Win

AI has opened up a world of opportunities. The ability to leverage machine learning, thanks in large part to the robust tools from AWS, allowed us to tailor solutions that meet the needs of the wide range of users that our client serves. Highlights of our successful partnership include:

Enhanced Production Optimization

AI-driven insights allow for more precise control over production processes, leading to increased throughput and reduced operational costs.

Reduced Unplanned Downtime

Predictive maintenance capabilities enabled by the AI models substantially minimize the occurrence of unplanned downtimes.

Scalability and Flexibility

The multi-tenant architecture supports scalable and flexible operation adjustments as required by various customer needs.

Data-Driven Decisions

Enhanced data observability and reliable predictive models facilitate more informed decision-making across various levels of operations.