Flow Prediction Model Using Acoustic Activity and Proppant Compensation
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Solution Overview
Problem
Current methods for monitoring downhole fluid flow during hydraulic fracturing are inefficient and inaccurate, relying on expensive equipment and uncertain pressure data, with existing flowmeters often failing under high flow rates and proppant use, and fiber optic sensing systems providing inconsistent acoustic flow estimates.
Innovation Solution
Implementing a flow prediction model based on acoustic activity and proppant compensation using distributed acoustic sensing systems, where optical fibers are deployed downhole to monitor acoustic activity, which is then input into a model that accounts for proppant effects to predict fluid flow rates, allowing for real-time monitoring and adjustment of fracturing operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If mechanical flow meters are used to monitor downhole fluid flow, then flow rate measurement is obtained, but the flow meters fail under high flow rates and proppant use during hydraulic fracturing
Solution Approach 1:
The patent replaces mechanical flow meters with fiber optic acoustic sensing systems that use optical and acoustic fields instead of mechanical components. The distributed acoustic sensing system detects acoustic waves generated by fluid flow through the wellbore, converting mechanical flow information into optical signals that are immune to the harsh conditions of high flow rates and proppant presence.
Solution Approach 2:
The patent introduces acoustic waves as an intermediary medium to transfer flow rate information. Instead of directly measuring flow with a mechanical sensor, the system detects acoustic emissions generated by the flowing fluid, which serve as a mediator carrying flow information through the wellbore environment without being damaged by it.
2Measurement precision
If wireline logging tools are deployed to collect flow rate data, then flow measurement is achieved, but downhole operations are interrupted and time is lost
Solution Approach 1:
The patent implements continuous flow monitoring through permanently installed fiber optic sensors that operate without interrupting downhole activities. The distributed acoustic sensing system provides uninterrupted flow data throughout the hydraulic fracturing process, eliminating the need to stop operations for measurements.
Solution Approach 2:
The fiber optic sensing system is self-contained and requires no external intervention or equipment deployment during operations. The distributed sensors along the wellbore autonomously detect acoustic signals and provide flow information, serving the measurement function without requiring additional equipment or operational interruptions.
3Measurement precision
If multiple downhole flow rate sensors are distributed to monitor flow near different perforation clusters, then comprehensive flow monitoring is achieved, but cost and installation complexity increase significantly
Solution Approach 1:
The patent segments the sensing function along the entire length of the wellbore using distributed fiber optic sensors. Instead of placing discrete sensors at specific locations, the fiber optic cable is continuously deployed along the wellbore, creating numerous sensing segments that collectively monitor flow at all perforation clusters simultaneously.
Solution Approach 2:
The fiber optic cable serves multiple functions: it acts as both the sensing medium and the communication conduit. A single distributed acoustic sensing system provides flow monitoring coverage for all perforation clusters along the wellbore, eliminating the need for multiple separate sensor systems and reducing overall complexity.
4Device complexity
If only pressure data and reservoir models are used for downhole flow estimation, then equipment simplicity is maintained, but flow estimation accuracy becomes highly uncertain
Solution Approach 1:
The patent introduces acoustic activity as an intermediary measurement that bridges the gap between simple pressure data and accurate flow rates. Acoustic signals serve as a direct indicator of fluid flow dynamics, providing additional information that complements pressure data and significantly improves flow estimation accuracy without requiring complex equipment.
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 approach enables accurate and continuous monitoring of fluid flow rates, allowing for effective hydraulic fracturing operations, proppant management, and informed decision-making regarding well treatment and production operations, reducing the need for costly and intrusive equipment.
Implementation Method 1
obtain acoustic activity values as a function of time and position from one or more distributed acoustic sensing systems
Implementation Method 2
apply at least some of the acoustic activity values to a flow prediction model to obtain a predicted fluid flow
Data Source
AI summary
An example method includes providing source light to an optical fiber deployed in a downhole environment, receiving backscattered light from the optical fiber, and producing one or more optical interferometry signals from the backscattered light. The method also includes converting each of the one or more optical interferometry signals to an electrical signal and digitizing each electrical signal to obtain one or more digitized electrical signals. The method also includes deriving acoustic activity values as a function of time and position from the one or more digitized electrical signal. The method also includes applying at least some of the acoustic activity values to a flow prediction model to obtain a predicted fluid flow as a function of time, wherein the flow prediction model includes a proppant compensation value or factor. The method also includes storing or displaying the predicted fluid flow.