Oil Well Data Aggregation Server for Remote Drilling Collaboration
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Solution Overview
Problem
Current information technology infrastructure in oil well construction and drilling projects faces challenges in facilitating efficient collaboration between team members at disparate locations, particularly due to the need for real-time data sharing, predictive modeling, and increased rig automation, which complicates communication and data transfer.
Innovation Solution
A collaboration infrastructure that aggregates oil well data at the drilling site and stores it in a data aggregation server, allowing access via a standard format, with local storage at the remote location for real-time monitoring and access through satellite links, utilizing virtual local area networks and web-based viewers for secure and efficient data sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is stored centrally at the rig site only, then data security and real-time access for on-site users is improved, but remote users cannot access the data without consuming significant satellite bandwidth
Solution Approach 1:
The patent divides the data storage system into two segments: a primary data aggregation server at the rig site and a secondary local server at the remote location. This segmentation allows on-site users to access data locally at the rig while remote users access data from their local server, minimizing satellite bandwidth consumption while maintaining data security through centralized aggregation at the rig site.
Solution Approach 2:
The patent creates a copy of the aggregated data and stores it at a local server at the remote location. This copying mechanism enables remote users to access data without consuming satellite bandwidth, while the original data remains securely stored at the rig site aggregation server.
2Productivity
If multiple types of data are aggregated and shared across locations, then collaboration efficiency is improved, but data management complexity increases
Solution Approach 1:
The patent implements a universal data aggregation server that handles multiple types of drilling data (real-time drilling parameters, geological data, wellbore trajectory data) through a single standardized interface. This multi-functional server simplifies data management by providing a unified platform for collecting, storing, and distributing diverse data types to both on-site and remote users.
Solution Approach 2:
The data aggregation server acts as an intermediary between various data sources at the rig site and the users at both on-site and remote locations. It standardizes data formats and manages data distribution, reducing the complexity that would otherwise exist in directly connecting multiple data sources with multiple users.
3Loss of time
If real-time data access is provided to all users, then decision-making speed is improved, but network bandwidth requirements increase
Solution Approach 1:
The patent segments the user base into on-site users and remote users, providing each group with localized data access. On-site users access data through the aggregation server at the rig, while remote users access data through a local server at their location, eliminating the need for continuous satellite bandwidth allocation to all users.
Solution Approach 2:
By creating and maintaining a copy of the data at the remote location, the system enables remote users to access real-time data locally without consuming satellite bandwidth, while on-site users continue to access the primary data source directly at the rig.
Data Source
AI summary
Methods and systems facilitate collaboration between users at an oil well site and users at a remote location. Multiple types of oil well data are collected at the oil well site to form aggregated data. The aggregated data is stored in a data aggregation server at the oil well site. Users at the oil well site and users at the remote location are allowed to access the aggregated data on the data aggregation server using a standard data format.