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Ambyint Achieves AWS Energy Competency Status

Ambyint artificial lift optimization technologies help accelerate customers’ digital transformations

HOUSTON (NEWSWIRE)

Ambyint, a production and artificial lift optimization solutions provider, today announced that it has achieved Amazon Web Services (AWS) Energy Competency status. This designation recognizes that Ambyint has demonstrated deep expertise and technical proficiency helping customers leverage AWS cloud technology to transform complex systems and provides energy customers the ability to more easily select skilled partners to accelerate their digital transition to a sustainable energy future with confidence.

Achieving the AWS Energy Competency differentiates Ambyint as an AWS Partner with deep expertise and technical proficiency within this unique industry, including proven customer success developing solutions across the value chain, from production operations and optimization, to commodities trading, new energy solutions, and more. To receive the designation, AWS Partners undergo a rigorous technical validation process, including a customer reference audit. The AWS Energy Competency provides energy customers the ability to more easily select skilled Partners to help accelerate their digital transformations with confidence.

Ambyint solutions are designed to optimize oil & gas wells by automating anomaly detection, controller setpoint recommendations, setpoint changes, and production versus plan analytics to enable real-time production optimization. The company employs advanced physics-based models, deep subject matter expertise, and artificial intelligence to deliver highly scalable and proven applications. Ambyint solutions have proven to increase production volumes and workforce efficiencies while reducing operating expenses, emissions, and failure rates for mid- to large-sized operators across major North American basins.

Ambyint’s production optimization solutions leverage AWS’s enterprise-class cloud environment to integrate easily with existing Exploration & Production (E&P) companies’ systems, such as SCADA and production accounting, providing real-time ingestion, standardization, normalization, and contextualization of oil & gas operations data. Ambyint utilizes a variety of AWS services including Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Simple Storage Service (Amazon S3), Amazon Virtual Private Cloud (Amazon VPC), Elastic Load Balancing (ELB), and Amazon Timestream for horizontal and vertical scalability. Production optimization at scale is a critical requirement for E&P companies focused on delivering the substantial benefits that digital transformation and operational excellence initiatives offer.

“At Ambyint, we strive to assist our customers along their digital transformation journey by providing solutions that deliver improved production volumes, reduce GHG emissions, and drive down operating costs through production and artificial lift optimization,” says Chris Robart, chief commercial officer at Ambyint. “Achieving the AWS Energy Competency designation, provides Ambyint another opportunity to help our customers achieve their digital technology goals by leveraging the agility, breadth of services, and pace of innovation that AWS provides.”

AWS is enabling scalable, flexible, and cost-effective solutions from startups to global enterprises. To support the seamless integration and deployment of these solutions, AWS established the AWS Competency Program to help customers identify AWS Partners with deep industry experience and expertise.

For more information on Ambyint solutions, please visit our product listings for Ambyint InfinityRLTM, InfinityPLTM, and SmartStreamTM in AWS Marketplace.

About Ambyint

Ambyint delivers well lifecycle production optimization for the oil & gas industry, driving step-change improvements to E&P production outcomes and margin. Ambyint combines advanced physics and subject matter expertise with artificial intelligence to automate operations and production optimization workflows across all well types and artificial lift systems.