Secure Data Platform With Filtered E&P Access Tiers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The exploration and production (E&P) industry lacks an organized marketplace for drilling companies to discover and access valuable E&P data, and existing data dissemination methods pose security challenges due to the ease of data copying and vendor control over data access.
Innovation Solution
A data distribution platform that filters high fidelity data into marketing data packages, allowing consumers to access data through subscription levels without downloading, using filtering and viewing applications to manage access and ensure data security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If vendors provide full access to high fidelity E&P data, then data consumers can perform comprehensive analysis, but vendors lose control over data security and copying
Solution Approach 1:
The patent segments data access into multiple levels: marketing data packages with limited access for discovery, and high fidelity data packages with controlled access for analysis. This segmentation allows vendors to provide adequate access for intended purposes while maintaining security controls, resolving the contradiction between ease of operation and reliability.
Solution Approach 2:
The data distribution platform acts as an intermediary between vendors and consumers. It implements filtering applications and access controls that enable consumers to access and analyze data without directly obtaining copies. The platform mediates the data exchange, maintaining vendor control while facilitating consumer analysis capabilities.
2Reliability
If vendors restrict data access to prevent copying, then data security is maintained, but consumers cannot effectively discover or evaluate available data
Solution Approach 1:
The patent creates two distinct data package types: marketing data packages that provide sufficient information for discovery and evaluation while maintaining security, and high fidelity packages for authorized analysis. This segmentation resolves the contradiction by providing appropriate access levels for different purposes.
Solution Approach 2:
The marketing data packages provide partial access - enough data for consumers to evaluate and discover value, but not enough to compromise security or enable unauthorized copying. This partial action satisfies the need for discoverability while maintaining security constraints.
3Productivity
If an organized marketplace is created for E&P data, then data exchange efficiency improves, but system complexity increases due to access control requirements
Solution Approach 1:
The data distribution platform provides multiple functions within a single system: data discovery, evaluation, controlled access, and analysis capabilities. By consolidating these functions, the platform improves data exchange efficiency while managing complexity through integration rather than separate systems.
Solution Approach 2:
The platform implements automated filtering applications and access control mechanisms that operate without manual intervention. This self-service capability manages the complexity of access control automatically, allowing efficient data exchange while maintaining security without proportionally increasing operational complexity.
4Reliability
If vendors retain full control over data, then data security is maintained, but data dissemination and accessibility are limited
Solution Approach 1:
The patent implements dynamic access controls that adapt to different user needs and authorization levels. Consumers can dynamically access marketing data packages for evaluation and high fidelity packages for analysis based on vendor authorization. This dynamic approach maintains vendor control while providing versatile accessibility options.
Solution Approach 2:
The system changes access parameters based on data package type and authorization level. Marketing packages have one set of access parameters (discovery-focused), while high fidelity packages have different parameters (analysis-focused). This parameter adjustment maintains vendor control while adapting to different accessibility requirements.
Data Source
AI summary
A method including receiving, at a data distribution platform, a selection of a data package comprising a high fidelity data package. The method also includes filtering, automatically by a filtering application of the data distribution platform, the high fidelity data package to form a marketing data package. Filtering includes removing sufficient data from the high fidelity data package such that the marketing data package is a marketing data package. The method also includes publishing the marketing data package within the data distribution platform.