Drilling Rig Power Control for Peak Load Balancing
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Solution Overview
Problem
The demand for electrical power at remote drilling locations can exceed available sources if not properly managed, leading to inefficiencies and potential errors in drilling operations, especially as they transition to automation.
Innovation Solution
Implementing a system with a controller and processor to optimize power generation and load requirements by receiving and analyzing data on current and projected power needs, adjusting generation capacity, and utilizing regenerative power techniques to convert kinetic energy into electrical energy, while managing power storage and distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If power generation capacity is increased to meet peak demand, then power availability is improved, but device complexity and cost increase
Solution Approach 1:
The system performs preliminary actions by predicting future power requirements based on historical load profiles and operational data. The controller proactively adjusts power generation capacity in advance of peak demand periods, rather than reacting to shortages. This allows the system to maintain reliability by having power ready when needed, while avoiding the complexity of continuously operating at peak capacity.
Solution Approach 2:
The power generation capacity is made dynamic rather than static. The controller continuously monitors actual power consumption, compares it with predicted requirements, and adjusts generation capacity in real-time. This dynamic adjustment allows the system to match power supply with actual demand, maintaining reliability without requiring excessive generation capacity that would increase complexity.
2Reliability
If power generation capacity is increased to meet peak demand, then power availability is improved, but energy loss increases
Solution Approach 1:
The system predicts power requirements in advance using historical load profiles and operational data. By knowing when peak demand will occur, the system can pre-position power generation capacity to match actual needs, avoiding the energy waste of continuously operating generators at partial load or the waste of storing excess power that isn't needed.
Solution Approach 2:
The system changes operational parameters dynamically, adjusting power generation capacity based on predicted and actual load conditions. Rather than maintaining a fixed high capacity to ensure availability, the system varies generation levels to match实际需求, minimizing energy loss while maintaining power availability when required.
3Productivity
If real-time power monitoring and adjustment is implemented, then power management efficiency is improved, but device complexity increases
Solution Approach 1:
The controller performs multiple functions within a single integrated system: it monitors power consumption in real-time, predicts future requirements using historical data, adjusts generation capacity, and manages power distribution. This multi-functionality improves power management efficiency without proportionally increasing complexity, as one controller handles what would otherwise require multiple separate systems.
Solution Approach 2:
The system implements feedback loops where the controller continuously monitors actual power consumption, compares it with predicted requirements, and uses this feedback to adjust generation capacity. This automated feedback mechanism improves efficiency by ensuring power supply matches actual demand, while the complexity is managed through systematic control algorithms rather than manual intervention.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This system optimizes power management, reducing the risk of power shortages, minimizing environmental impact, and enhancing operational efficiency and safety in drilling operations.
Implementation Method 1
generating power using regenerative power techniques by converting kinetic energy of the drilling rig into electrical energy for charging a power storage device
Data Source
AI summary
A power controller may monitor a power required by each of a plurality of power loads coupled to a power distribution bus. The power loads can include a plurality of devices for oil and gas exploration or production. The devices can include a plurality of drilling rigs or equipment associated with one or more of the drilling rigs. The power controller may monitor the power supplied by each of a plurality of power sources coupled to the power distribution bus. The power sources can include power from any two or more of the following: an electric utility, an electric grid, a natural gas turbine, a battery, a solar power generator, a wind generator, and a geothermal generator. The power controller may adjust the power supplied to a first one of the plurality of power loads based at least in part on a first one of the plurality of power loads.