Oilfield pumping unit oil pumping energy saving and production increasing optimization method based on back propagation neural network (BPNN) and strength Pareto evolutionary algorithm 2 (SPEA2)
A technology of BP neural network and optimization method, which is applied in the field of optimization of energy saving and production increase of pumping units in oilfields
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0041] An optimization method for energy saving and production increase of pumping units in oilfields based on BP neural network and SPEA2 algorithm is carried out according to the following steps:
[0042] Step 1: Count all the original variables S that have an impact on power consumption and oil production, and determine S1 decision variables X that have a very large impact on power consumption and oil production during the oil recovery process of the oil pumping unit in the oil field;
[0043] From the parameter set: stroke times; maximum load; minimum load; effective stroke; calculated pump efficiency; dynamic liquid level; motor armature sampling current value; motor armature sampling current integral value; stroke; active power; power factor; back pressure; set Pressure; Oil pressure; Voltage; Current; Speed; Frequency;
[0044] The preferred five decision variables X are: stroke times, maximum load, minimum load, effective stroke, and calculated pump efficiency.
[004...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com