Real-Time Drilling Cost Optimization via Component Replacement
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Solution Overview
Problem
Drilling costs in oil and gas operations are subject to significant variability due to factors like location, depth, manpower experience, and equipment efficiency, leading to discrepancies between estimated and actual costs.
Innovation Solution
A method and system that utilize real-time acquired drilling parameter data to determine drilling cost data through a computer processor-based drilling cost model. This system identifies whether the initial drilling cost data meets a predetermined criterion and, if not, determines a replacement component to optimize drilling costs, updating the drilling operation accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If real-time monitoring and component replacement decisions are implemented, then drilling cost optimization is improved, but system complexity and decision-making complexity increase
Solution Approach 1:
The system continuously monitors drilling parameters in real-time and feeds this information back to the control system, which automatically adjusts drilling operations to optimize costs. The feedback loop includes monitoring drilling rate, cost accumulation, and comparing actual costs against target costs, enabling dynamic optimization without manual intervention.
Solution Approach 2:
The drilling system performs self-optimization by automatically detecting when cost targets are not met and autonomously determining component replacements or parameter adjustments needed. The system serves itself by making real-time decisions about drilling operations based on monitored data, reducing the need for external human decision-making.
2Loss of energy
If component replacement is made to reduce drilling costs, then drilling cost optimization is improved, but operational time and system complexity increase
Solution Approach 1:
The system performs preliminary calculations and evaluations of component replacement options before actual replacements are made. By pre-assessing the cost-benefit of potential replacements and determining optimal replacement timing, the system minimizes unnecessary operational interruptions while still achieving cost optimization goals.
Solution Approach 2:
The system dynamically adjusts drilling operations and component replacement decisions based on real-time conditions. Rather than following fixed schedules, the system adapts replacement timing and operational parameters to current drilling performance and cost accumulation rates, optimizing the balance between cost reduction and time loss.
Data Source
AI summary
A method may include obtaining acquired drilling parameter data regarding a drilling parameter in real-time during a drilling operation for a predetermined well. The method may include determining, based on a drilling cost model, first drilling cost data using the acquired drilling parameter data. The method may include determining whether the first drilling cost data satisfies a predetermined criterion. The method may include determining, in response determining that the first drilling cost data fails to satisfy the predetermined criterion, a replacement component for the drilling operation. The method may include determining, based on the drilling cost model, second drilling cost data based on using the replacement component for the drilling operation. The method may include transmitting a command to update the drilling operation by changing a drilling system to use the replacement component in response to determining that the second drilling cost data satisfies the predetermined criterion.