AR Data Structures for Oilfield Planning
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Solution Overview
Problem
The planning of oilfield locations is a time-consuming process that involves collaboration among various parties, and existing technologies lack efficient methods for creating accurate, secure, and scalable augmented reality environments, especially on remote devices with limited computing resources.
Innovation Solution
A method that involves obtaining an image of a geographical location, assigning pixels to a Cartesian coordinate system, generating a virtual map with scaled coordinates and rotation angles, and applying transforms to create a data structure for secure augmented reality-based planning, enabling accurate placement of physical equipment and improving cybersecurity in collaborative environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional planning methods are used for oilfield locations, then collaboration among various parties can be achieved, but the planning process becomes time-consuming
Solution Approach 1:
The patent creates virtual copies of physical equipment and geographical locations through augmented reality data structures. These virtual representations allow multiple parties to collaborate on planning without physically gathering at the location, significantly reducing planning time while maintaining collaboration accuracy through precise spatial mapping and coordinate system transformations.
2Measurement precision
If augmented reality environments are created for oilfield planning, then equipment placement accuracy is improved, but computing resource requirements increase
Solution Approach 1:
The patent segments the augmented reality environment into discrete data structures representing individual equipment, geographical features, and coordinate systems. This segmentation allows remote devices to load and process only the specific portions of the AR environment relevant to their planning tasks, reducing overall computing resource consumption while maintaining placement accuracy through precise local transformations.
3Reliability
If secure augmented reality environments are implemented for remote devices, then cybersecurity is enhanced, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary coordinate transformation system that acts as a secure layer between remote devices and the augmented reality environment. This intermediary layer handles the complex security protocols and data transformations, presenting a simplified interface to end users while enhancing cybersecurity through encrypted coordinate mappings and authenticated data structures.
Data Source
AI summary
A method including obtaining a first image of a geographical location and a physical object located therein. Pixels in the first image are assigned to corresponding points in a Cartesian coordinate system defined specifically for the first image. The resulting virtual map includes a virtual representation of the physical object, a set of Cartesian coordinates assigned to a set of pixels in the pixels, and a set of Cartesian rotation angles assigned to the set of pixels. A first transform is calculated that scales the Cartesian coordinate system to a physical scale of the geographical location. A data structure stored in a data repository is formed by applying the first transform to the virtual map. The data structure includes the set of pixels, a set of scaled Cartesian coordinates, the set of Cartesian rotation angles, and a physical scale virtual representation of the physical object.