Cloud Logging System for Wireline Tool Processing
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Solution Overview
Problem
Current wireline logging data acquisition and tool processing systems are inefficient and costly due to the need for sophisticated hardware at each well-site, which is not scalable for complex operations and lacks real-time processing capabilities.
Innovation Solution
A cloud logging system that dynamically allocates computing resources based on processing requirements, utilizing a network of computing devices, a database, and a graphical user interface to manage and distribute tool processing across multiple devices, eliminating the need for expensive hardware upgrades and enabling real-time data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If sophisticated hardware is installed at each well-site to perform complex tool processing, then processing capability is improved, but hardware cost and device complexity increase
Solution Approach 1:
The patent extracts the complex processing functions from individual well-site hardware and relocates them to a centralized cloud computing system. The well-site computing devices retain only data acquisition and basic processing capabilities, while complex tool processing is performed remotely, eliminating the need for sophisticated hardware at each location.
Solution Approach 2:
The patent merges multiple distributed well-site processing systems into a single centralized cloud computing infrastructure. By combining processing resources into one location, the system achieves complex tool processing capabilities without requiring each well-site to maintain expensive, sophisticated hardware.
2Power
If hardware is upgraded at each logging unit to handle complex processing, then processing capability is improved, but operational cost increases
Solution Approach 1:
The patent creates a universal cloud computing system that serves multiple logging units and well-sites. This centralized infrastructure can handle complex processing for any number of clients, eliminating the need for each logging unit to maintain dedicated sophisticated hardware, thereby reducing overall operational costs.
Solution Approach 2:
The patent implements virtualized computing resources that can be copied and allocated dynamically to different logging units as needed. Instead of each unit requiring physical hardware upgrades, virtual computing instances provide the necessary processing capability on-demand, reducing hardware and operational expenses.
3Power
If multiple computing devices are deployed at each well-site for data acquisition and processing, then processing capability is improved, but space requirements and device complexity increase
Solution Approach 1:
The patent extracts processing functions from physical well-site hardware and moves them to a remote cloud environment. This eliminates the need for multiple computing devices at each well-site, freeing up valuable space while maintaining or enhancing processing capability through centralized resources.
4Device complexity
If remote processing is performed with minimal on-site processing, then hardware cost is reduced, but processing time and operational efficiency increase
Solution Approach 1:
The patent implements preliminary action by performing data acquisition and basic processing at the well-site before transmitting data to the cloud. This preliminary processing reduces the amount of data that needs to be transmitted and processed remotely, thereby reducing overall processing time while maintaining hardware simplicity.
Solution Approach 2:
The patent ensures continuity of useful action by maintaining constant communication between well-site devices and the cloud system. Data transmission and processing occur continuously without interruption, eliminating delays associated with batch processing while keeping on-site hardware simple.
Data Source
AI summary
A method for implementing a wireline logging cloud computing system includes transforming the single computing device in use at well-sites to perform tool processing into a cloud configuration that can use multiple computing devices. The method includes using a logging manager user interface to communicate tool processing requests and using a logging manager service provider to create a cloud configuration for the tool processing. The method further may include implementing a post-processing manager for implementing cloud computing for post-processing tasks.