Automated Image Creation for E&P Cloud Apps
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Solution Overview
Problem
The oil and gas industry faces challenges in accessing and managing diverse data sources and deploying computer programs efficiently, leading to production inefficiencies due to inconsistent or inaccessible data and the need for substantial human interaction in deployment and management of applications in both on-premise and cloud environments.
Innovation Solution
An automated image creation and packaging management system that facilitates the deployment and management of unique applications and plugins by building and publishing images in cloud environments, reducing the need for manual installation and enabling on-demand delivery of exploration and production functionalities through a cloud service.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual installation and deployment of applications is performed in on-premise and cloud environments, then applications can be deployed and managed, but substantial human interaction is required leading to production inefficiencies
Solution Approach 1:
The system performs preliminary actions by automatically resolving dependencies, building images, and preparing deployment packages before actual application deployment. This includes automatically fetching required packages, resolving version conflicts, and creating optimized deployment images that reduce manual intervention during the actual deployment phase.
Solution Approach 2:
The system enables self-service deployment through automated dependency resolution, automatic image building, and self-provisioning of application environments. The platform autonomously manages the deployment process by automatically selecting appropriate packages, resolving conflicts, and deploying applications without requiring substantial human interaction.
2Adaptability or versatility
If multiple applications and programs are used for exploration and production workflows, then comprehensive functionality is achieved, but accessing and managing these applications becomes difficult
Solution Approach 1:
The system provides a universal platform that can deploy and manage multiple exploration and production applications through a single interface. The standardized image-based deployment approach allows diverse applications to be managed consistently, providing multi-functionality while simplifying access and management operations.
Solution Approach 2:
The system introduces an intermediary deployment platform that sits between users and multiple applications. This platform manages the complexity of multiple applications by providing a unified access point, automatically handling package resolution, dependency management, and deployment orchestration across different applications and environments.
3Power
If cloud based commodity computing is used to handle large scale data, then computing capacity is increased, but packaging insights for delivery to customers becomes increasingly difficult
Solution Approach 1:
The system segments the complex task of packaging cloud computing insights into standardized, reusable image components. By dividing the deployment process into discrete image packages with defined dependencies and configurations, the system simplifies the packaging and delivery of computing insights while maintaining the power of cloud-based commodity computing.
Data Source
AI summary
Methods, apparatus, systems, and computer-readable media are set forth for receiving an image definition from a client device, the image definition identifying one or more packages to be deployed within an image, each of the one or more packages including an exploration and production computer program, automatically building an image using the image definition, the image including the one or more packages, and deploying an operating environment including an instance of the image.