Hydraulic Stimulation Control for Real-Time Screenout Prevention
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Solution Overview
Problem
Current well stimulation job design and execution face challenges in optimizing fracture performance due to the physical influence effects of one well on another, especially in pad stimulation operations, which can lead to detrimental effects such as screenouts.
Innovation Solution
A control system with processors configured to execute software modules that optimize parameters of hydraulic stimulation jobs in real-time, providing advice on adjustments to improve fracture performance and prevent detrimental situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple wells are stimulated within the vicinity of other wells (pad stimulation), then productivity is improved through efficient resource utilization, but harmful physical influence effects occur between adjacent wells leading to detrimental outcomes such as screenouts
Solution Approach 1:
The system continuously monitors stimulation parameters (pressure, flow rate, volume) in real-time and compares them against predicted values and thresholds. When deviations indicate potential harmful interactions between adjacent wells, the system provides feedback alerts and recommendations to adjust pumping rates or volumes, preventing screenouts while maintaining efficient pad stimulation operations
Solution Approach 2:
The system performs preliminary analysis of well spacing, formation properties, and stimulation design parameters before pad stimulation begins. It establishes predicted fracture geometries and identifies potential interference zones in advance, allowing operators to adjust the stimulation plan proactively to avoid harmful physical influence effects between adjacent wells
2Reliability
If real-time optimization of stimulation parameters is implemented, then fracture performance is improved and screenout risk is reduced, but device complexity increases due to advanced monitoring and control systems
Solution Approach 1:
The control system integrates multiple functions into a single unified platform: real-time parameter monitoring, fracture propagation modeling, screenout risk assessment, and optimization recommendations. This multi-functional approach improves stimulation reliability while avoiding the complexity of separate specialized systems for each function
Solution Approach 2:
The system automatically monitors stimulation parameters and compares them against predicted values, generating real-time alerts and optimization recommendations without requiring constant operator intervention. This self-monitoring capability improves reliability while reducing the operational complexity burden
Data Source
AI summary
Systems and methods presented herein enable stimulation job design and execution advisors for optimal fracture performance. For example, a control system may include one or more processors configured to execute processor-executable instructions stored on memory of the control system, wherein the processor-executable instructions, when executed by the one or more processors, cause the control system to initiate and implement one or more software modules in a modular manner to optimize parameters of a hydraulic stimulation job, and to provide advice regarding one or more adjustments to the parameters of the hydraulic stimulation job in substantially real-time during performance of the hydraulic stimulation job.