Wellhead water content prediction method for low-gas-yield oil well based on time-frequency characteristics

A technology of time-frequency characteristics and prediction methods, which is applied in the direction of measuring devices, instruments, and material analysis through electromagnetic means. It can solve problems that affect production monitoring, time-consuming and labor-intensive, and achieve considerable calculation speed, accurate measurement, and strong stability. Effect

Inactive Publication Date: 2019-09-17
东营智图数据科技有限公司
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Problems solved by technology

It solves the time-consuming and labor-intensive manual sampling of the water content of oil wells in existing oil wells, which affects the real-time performance of production monitoring and oil recovery data

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  • Wellhead water content prediction method for low-gas-yield oil well based on time-frequency characteristics
  • Wellhead water content prediction method for low-gas-yield oil well based on time-frequency characteristics
  • Wellhead water content prediction method for low-gas-yield oil well based on time-frequency characteristics

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Embodiment Construction

[0034] The present invention is further described below in conjunction with embodiment: following embodiment is illustrative, not limiting, can not limit protection scope of the present invention with following embodiment.

[0035] The present invention collects wellhead water content information through a double-loop high-frequency capacitive sensor (hereinafter referred to as the sensor), extracts the time-frequency characteristics of the measurement signal as the input of a deep convolutional neural network, and the network abstracts the input time-frequency joint distribution characteristics And comprehensively, the wellhead holdup intelligent prediction model is obtained by using a supervised learning method.

[0036] The double-ring capacitive sensor involved in the present invention is used to obtain wellhead moisture content information, and its structure is as follows: figure 1 As shown, it consists of a stainless steel metal protective shell and an internal sensor pi...

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Abstract

The invention relates to a production fluid water content measurement method for a high-water-cut oil well based on time-frequency characteristics. The method adopts a double-ring high-frequency capacitive sensor, a water content fluctuation signal time-frequency transformation module, and a wellhead water content prediction network based on artificial intelligent. The method comprises the following steps: wellhead water content fluctuation information is firstly acquired through the double-ring high-frequency capacitive sensor provided with a specific structure and applicable for an oil wellhead; time-frequency transformation is then carried out on acquired water content fluctuation signals, so that a time-frequency spectrum of the water content fluctuation signals is obtained; and the time-frequency simultaneous distribution spectrum obtained through the transformation is used as an input of a convolutional neural network, flow characteristics of the detected signals are extracted layer by layer through multilayer convolution-pooling operation, the extracted characteristics are finally output to softmax for water content measurement, and a water content tag is obtained through wellhead testing.

Description

technical field [0001] The invention belongs to the field of crude oil production, and relates to the measurement of water content of liquid produced in low-yield gas wells, in particular to a method for predicting the water content of wellheads of low-yield gas wells based on time-frequency characteristics. Background technique [0002] In the process of crude oil production, timely mastering and controlling the water cut parameters of oil well production is not only the prerequisite for reliable estimation of crude oil net production, but also the basis for correct diagnosis and maintenance of oil well problems. An important guiding index for the adjustment of reservoir production mode Therefore, the detection of water cut parameters in oil well production is of great significance. At present, the ultra-high water cut characteristics of oilfield fluid production put forward new requirements for the water cut measurement of oil well production fluid, but how to accurately o...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N27/22
CPCG01N27/223
Inventor 王思佳谢文献李永强
Owner 东营智图数据科技有限公司
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