Optimization of a Turbine Flow Well Logging Tool Based on the Response Surface Method

As the exploration of ultra-deep layers and development geothermal resources continue, obtaining more accurate downhole parameters becomes increasingly important. Flow measurement, in particular, is a complex parameter that presents significant challenges. In order to enhance accuracy turbine flow logging tool, this research focuses on optimizing metering structure through range methods. A calculation model related measurement process established, field characteristics flowmeter are analyzed using CFD software. The sensitivity various geometric meter coefficient also analyzed, significance 11 influencing factors classified optimized Plackett–Burman climbing test design. Box–Behnken design method then used conduct an experimental for factors, results show regression fits actual situation well. response surface optimize structural parameters, orthogonal carried out selected non-significant obtain optimal combination. After optimization based method, stability improved by 34.5%.