Many oil and gas operating businesses have used digital oilfield apps to automate workflows and expedite procedures to maximize oil and gas output in real time. Most of these applications are installed utilizing conventional on-premises systems, where scalability, accessibility, and maintenance provide significant obstacles to effective operation. The industry still has issues with data integration from many data sources, releasing consolidated data for consumption, and orchestrating cross-domain workflows for that data.

Digital transformation strategies have created a path for cloud-based solutions, which have gained popularity recently in the oil and gas sector due to their increased accessibility, ease of customization, higher system stability, and scalability to accommodate greater volumes of data. An operational production data foundation system that aggregates production and equipment data from several organizational departments is necessary to tackle the challenges mentioned earlier.

This video will focus on how operational production data foundation, hosted on the cloud, offers the underlying infrastructure, services, and interfaces needed to support and unify workflow orchestration and production data ingestion. Additionally, by bringing together digital concepts and common domains, it will enhance collaboration between individuals in different roles, including production engineers, software developers, data scientists, drilling engineers, and reservoir engineers, who work with production operations products and solutions. The main focus is going to be sharing knowledge of patented work that helped to solve data ingestion, canonical production models using bi-temporality and orchestration engine.

Scaling Oilfield Production Operations Workflows using Cloud Computing
Nov 12 2024

CSharp TV

This video will focus on how operational production data foundation, hosted on the cloud, offers the underlying infrastructure, services, and interfaces needed to support and unify workflow orchestration and production data ingestion.