Method for optimizing structure of annular water retention rate logging sensor array

Abstract

The invention relates to a method for optimizing the structure of an annular water retention rate logging sensor array. The method for optimizing the structure of the annular water retention rate logging sensor array is characterized by comprising the following steps of: determining each optimization parameter and a value area thereof according to the specific sensor array in actual engineering application; calculating a height measurement error and a water retention rate measurement error of the sensor array under different optimization parameters by an error analysis method; determining weighting coefficients of the height measurement error and the water retention rate measurement error; and calculating the weighted sum of the height measurement error and the water retention rate measurement error under each optimization parameter, and determining the optimization parameter minimizing the weighted sum as an optimization result. The method is used for optimizing the structure of the sensor array of an annular array water retention rate logging device; and when the annular water retention rate logging sensor array is used for detecting an interface height and a water retention rate by an electronic probe method, the measurement precision can be improved.

Description

technical field [0001] The invention relates to a structural optimization method of an annular water holdup logging sensor array, which can be used to improve the measurement accuracy of the oil-water interface and the water holdup of an annular array type water holdup logging device for stratified flow in horizontal wells. Background technique [0002] Production logging refers to the general term for geophysical logging performed during the entire production process of oil wells (including oil production wells, water injection wells, observation wells, etc.) from commissioning to scrapping. It includes three parts: dynamic logging, engineering logging and formation parameter logging. As a part of dynamic logging content, production profile logging refers to understanding the production profile through the measurement of temperature, pressure, fluid flow and water holdup in the well. Production profile data is the basis for oil field stabilization and water control and com...

AI Technical Summary

Problems solved by technology

In the past, centered sampling was used in vertical wells, and linear measurement instruments can no longer fully reflect the real situation downhole. For this reason, Schlumberger and Sondex have respectively launched Flagship and array imaging logging tool series MAPS and other new logging instruments that use nonlinear measurement methods.

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