Real-time Bulk Material Tracking via Containerization and Sensors
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Solution Overview
Problem
The oil and gas industry faces inefficiencies in sand supply chain management, particularly in remote wellsite locations, due to manual and paper-driven processes, leading to disruptions and oversupply issues, as existing methods lack automation and real-time visibility for sand inventory and distribution.
Innovation Solution
The implementation of containerization, micro-location technologies, and machine learning algorithms to provide automated and real-time tracking of sand inventory, enabling optimized distribution and redistribution across geographical areas, ensuring timely matching of supply to demand and minimizing disruptions or oversupply at wellsites.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual and paper-driven processes are used for sand supply chain management, then device complexity is reduced, but productivity and reliability deteriorate due to disruptions and oversupply issues
Solution Approach 1:
The sand supply chain is segmented into discrete trackable units using containerization standards. Each sand container is assigned unique identifiers and tracked independently through the supply chain, enabling granular monitoring and management of sand inventory across multiple locations and transport stages.
Solution Approach 2:
The system implements continuous feedback loops through real-time tracking data collection from sensors, GPS, and container markers. This feedback enables dynamic adjustment of sand distribution decisions, allowing the system to respond to changing wellsite conditions, prevent oversupply, and optimize routing based on actual inventory levels and demand signals.
2Loss of information
If real-time tracking and automation are implemented, then visibility and control are improved, but loss of information and measurement challenges increase due to the need for precise data collection
Solution Approach 1:
The system uses intermediary technologies including container markers, sensors, and tracking devices that act as mediators between the sand inventory and the monitoring system. These intermediaries capture and transmit information about sand location, quantity, and status without requiring direct measurement of the sand itself, simplifying detection and reducing information loss.
Solution Approach 2:
The system creates digital copies and representations of sand inventory data through tracking records, sensor readings, and database entries. These digital copies mirror the physical sand inventory state, enabling remote monitoring and analysis without physical inspection, thereby improving visibility while reducing measurement challenges.
3Productivity
If sand distribution is optimized using real-time data, then productivity improves, but loss of time increases due to data collection and processing requirements
Solution Approach 1:
The system performs preliminary actions by pre-configuring tracking infrastructure, pre-establishing distribution algorithms, and pre-positioning sand containers with embedded identifiers. This preparation enables rapid real-time monitoring and decision-making without significant data processing delays during actual distribution operations.
Solution Approach 2:
The system maintains continuous tracking and data collection throughout the sand supply chain lifecycle, from production to delivery. This continuous action eliminates intermittent data gathering delays and ensures that distribution decisions are always based on current information, improving productivity while minimizing time loss through seamless operational flow.
Data Source
AI summary
Disclosed herein are methods and system for redistributing bulk material across a geographical area. A method for providing bulk material for a wellbore operation, the method comprising: forming a logistical model database to determine bulk material required for an at least one wellsite located in a geographical area; acquiring bulk material from a distribution center; verifying the bulk material acquired; and transporting bulk material for the wellbore operation. A method for providing bulk material for a wellbore operation, the method comprising: determining demand for bulk material across a geographical area; collecting data throughout a life cycle of bulk material; transmitting collected data to an off-site network comprising an adaptive machine; analyzing collected data via the off-site network thereby producing an output; providing bulk material to a wellsite based on output. A system comprising: bulk material transport; off-site network comprising an adaptive machine; sensor coupled to the bulk material transport.