Multiphase flow virtual metering method based on gradient boosting regression tree model

A technology of virtual metering and regression tree, applied in the fields of calculation, computer parts, character and pattern recognition, etc., can solve the problem of less research on multiphase flow virtual metering in oil wells

Pending Publication Date: 2019-10-11
HAIMO PANDORA DATA TECH(SHENZHEN) CO LTD
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  • Multiphase flow virtual metering method based on gradient boosting regression tree model
  • Multiphase flow virtual metering method based on gradient boosting regression tree model
  • Multiphase flow virtual metering method based on gradient boosting regression tree model

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Embodiment Construction

[0041] The present invention will be further described below in conjunction with the embodiments and accompanying drawings.

[0042] A multiphase flow virtual metering method based on a gradient lifting regression tree model, which is carried out in the following steps:

[0043] Step 1. Install an online multiphase flow meter (MPFM) on the multiphase flow pipeline. The online multiphase flowmeter is used to collect the pressure P, temperature H, differential pressure DP, liquid volume L, and oil volume of the multiphase flow at the same time O, water volume W, gas volume G, water content WLR, gas content GVF and other production parameters, the online multiphase flowmeter collects sample data every 1 minute, and obtains a sample set of 200,000 sample data, and divides 80% of them ( 160000) sample data as training sample set A:

[0044] A={(x 1 ,y 1 ),(x 2 ,y 2 ),…(x i ,y i ),…(x m ,y m )}, m=160000;

[0045] where x i is the input feature of the i-th sample in the t...

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Abstract

The invention discloses a multiphase flow virtual metering method based on a gradient boosting regression tree model. The method comprises the following steps: firstly, acquiring sample data of a plurality of multiphase flows including pressure, temperature, differential pressure, liquid quantity, oil quantity and water quantity; using the sample data for training a GBDT gradient boosting regression tree model to obtain a virtual metering model, using the sample data for evaluating the virtual metering model, and finally the pressure, inputting the real-time temperature and the real-time differential pressure measured in real time into the virtual metering model for virtual metering. The method has the advantages of being high in model training speed, small in parameter adjustment, high inprecision, small in error, small in equipment size, low in manufacturing cost, non-radiative and the like, and has high data reference value for production dynamic monitoring, flow guarantee and oilreservoir management of an oil field.

Description

technical field [0001] The invention relates to a multiphase flow measurement method, in particular to a multiphase flow virtual measurement method. Background technique [0002] Multiphase flow refers to the mixed fluid containing liquid phase and gas phase, wherein the liquid phase includes oil phase and water phase, "gas fraction" refers to the volume fraction of gas phase in multiphase flow, expressed by GVF; "Rate" refers to the volume fraction of the liquid phase, represented by LVF; and GVF+LVF=1; the water content, represented by WLR, refers to the proportion of water to liquid. [0003] Current online multiphase flow meter (MPFM) measurements are based on a combination of total volume flow measurement and phase fraction measurement using radioactive, electronic, ultrasonic and acoustic techniques. However, these phase fraction measurement techniques all have some limitations, including but not limited to flow pattern, gas fraction, environment, economy, reliability...

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Application Information

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IPC IPC(8): G06F17/50G06K9/62
CPCG06F30/20G06F18/214G06F18/24323
Inventor 周建峰杨旋王斌朱运周
Owner HAIMO PANDORA DATA TECH(SHENZHEN) CO LTD
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