Jet Pump Driver Frequency Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wellsite operations face challenges in optimizing production rates and minimizing intake pressure for subsurface fluids using traditional artificial lift techniques, as they often require extensive data and complex calculations to determine optimal pumping parameters.
Innovation Solution
A jet pump system comprising a surface pump, a pump driver, and sensors that measure and adjust pumping parameters such as drive frequency and power fluid flow rate to optimize production by minimizing pump intake pressure and maximizing liquid production rate, using real-time data and inflow performance relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional artificial lift techniques are used to determine optimal pumping parameters, then production rates can be optimized, but extensive data and complex calculations are required
Solution Approach 1:
The pump driver automatically determines optimal pumping parameters by processing measurements from sensors (pressure, temperature, flow rate) and adjusting pump operation in real-time without requiring external extensive data or complex manual calculations
Solution Approach 2:
The system continuously monitors production parameters through sensors and uses this feedback to automatically adjust pumping parameters, eliminating the need for extensive prior data collection and complex offline calculations
2Productivity
If pumping parameters are adjusted to maximize liquid production rate, then production efficiency improves, but pump intake pressure increases
Solution Approach 1:
The system dynamically adjusts multiple pumping parameters (drive frequency, power fluid flow rate) simultaneously based on real-time measurements, finding the optimal balance between production rate and intake pressure that cannot be achieved by adjusting single parameters independently
Solution Approach 2:
The pump driver continuously adapts pumping parameters in real-time based on changing well conditions, allowing the system to maintain optimal production while managing intake pressure dynamically rather than using fixed operating points
3Productivity
If real-time optimization is implemented using sensors and pump driver, then production efficiency improves, but device complexity increases
Solution Approach 1:
The pump driver performs multiple functions (controlling drive frequency, adjusting power fluid flow rate, processing sensor data, determining optimal parameters) within a single integrated device, reducing overall system complexity despite the advanced capabilities provided
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
The system enables real-time optimization of production by adjusting pumping parameters based on measured data, improving production efficiency and stability, and can operate effectively without prior knowledge of inflow performance relationships, thus enhancing overall wellsite production operations.
Implementation Method 1
a jet pump deployed into the wellbore... a surface pump fluidly coupled to the jet pump to pump a power fluid through the jet pump
Data Source
AI summary
A jet pump system and method facilitate the production of a subterranean fluid. The jet pump system comprises a jet pump, a surface pump, a surface pump gauge, and a pump driver coupled to the surface pump to change a drive frequency of the pump driver based on production parameters and pumping parameters of the surface pump (drive frequency (FR) of the surface pump and the power fluid parameters) whereby the surface pump is selectively varied to optimize production. The jet pump method involves deploying the jet pump into the wellbore; pumping power fluid through the jet pump using the surface pump; measuring the pumping parameters; generating the production parameters of the subterranean fluid produced (production rate (QP) of the subterranean fluid); and optimizing the producing by changing the drive frequency (FR) based on the measured power fluid parameters and the generated production parameters.