Water Usage Monitoring With Pit Volume and Pipeline Forecasting
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Solution Overview
Problem
Monitoring and managing water usage in subsurface fluid extraction operations is challenging due to significant costs and the need for efficient water management, particularly in completion operations.
Innovation Solution
A monitoring, management, and planning tool that integrates SCADA data streams, includes a pipeline sketching tool, and provides a reuse pit volume simulator to predict water volumes, estimate pressure drops, and forecast water costs, while offering real-time monitoring and anomaly detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If water usage is increased to support completion operations in wellbores, then operational capabilities are improved, but costs increase significantly
Solution Approach 1:
The system changes the parameter of water quality by implementing a water quality classification system that categorizes water into different types (fresh water, produced water, reuse water) based on their properties. This allows operations to match appropriate water types to specific operational needs, optimizing water usage while reducing costs associated with using high-quality water for applications where it is not necessary.
2Quantity of substance
If water usage is monitored and managed more closely, then cost control improves, but system complexity increases
Solution Approach 1:
The monitoring system is segmented into multiple independent components including water quality sensors, flow meters, data communication modules, and a central processing system. Each component performs a specific function and can be independently configured or replaced. This modular segmentation reduces overall system complexity while enabling comprehensive water usage monitoring and cost control.
Solution Approach 2:
A centralized water management system acts as an intermediary between various water sources, usage points, and control mechanisms. This intermediary system consolidates data from multiple sensors and sources, processes the information centrally, and provides unified control, thereby simplifying the overall monitoring architecture while maintaining comprehensive oversight of water usage.
3Productivity
If real-time monitoring is implemented, then water usage efficiency improves, but data processing requirements increase
Solution Approach 1:
The system extracts only the most critical and relevant data parameters for real-time processing, such as water quality metrics, flow rates, and usage volumes, while storing less critical historical data separately. This selective extraction reduces the data processing load on the real-time system while maintaining the ability to access comprehensive information when needed, thereby improving water usage efficiency without overwhelming data processing requirements.
Data Source
AI summary
System and methods for water management method for managing water used in extraction of fluids from subsurface formations wherein water is stored in a plurality of water pits and further wherein water is obtained from one or more water wells. The method includes simulating water pit volumes to determine a water level in each of the water pits at a pit volume simulation time; performing water chemistry analysis to determine one or more chemical properties of water stored in one of the water pits; performing a mapping operation to determine one or more pipeline routes, pit-pit transfer lines, and gathering systems; performing water pit evaporation analysis for a water pit evaporation simulation time; and performing a cost data capture to determine forecast costs at a cost data capture simulation time.