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Productivity quantitative prediction method based on gas logging information

A technology for gas logging, logging and prediction methods, applied in neural learning methods, special data processing applications, instruments, etc., can solve problems such as tediousness and inconvenience, improve prediction accuracy, be easy to implement, and be more practical and feasible. sexual effect

Inactive Publication Date: 2016-08-17
SOUTHWEST PETROLEUM UNIV
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AI Technical Summary

Problems solved by technology

At present, there are many methods for predicting oil field production capacity, and the commonly used oil production capacity prediction methods are relatively cumbersome and not convenient enough to use

Method used

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  • Productivity quantitative prediction method based on gas logging information
  • Productivity quantitative prediction method based on gas logging information
  • Productivity quantitative prediction method based on gas logging information

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Embodiment Construction

[0049] The technical solutions of the present invention will be described in further detail below with reference to the accompanying drawings, but the protection scope of the present invention is not limited to the following.

[0050] Such as figure 1 As shown, a quantitative prediction method for productivity based on gas logging information includes the following steps:

[0051] ① Obtain gas logging and production data, including well test data, logging data, and test production and oil test data;

[0052] ②Convert the production in the well test data into an open flow according to the inflow dynamic equation;

[0053] ③According to the well test data, test production and oil test data, analyze the productivity influencing factors, and determine the productivity influencing factors related to the open flow;

[0054] ④ Establish a neural network prediction model, determine the input nodes of the neural network according to the productivity influencing factors during training, and dete...

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Abstract

The invention discloses a productivity quantitative prediction method based on gas logging information. The method comprises the following steps: 1, acquiring gas logging and production data; 2, determining an inflow performance equation and converting the yield in sample data into open-flow capacity; 3, analyzing productivity influence factors and determining the productivity influence factors related with open-flow capacity; 4, establishing a neural network prediction model, determining an input node of a neural network according to the productivity influence factors during training and taking the open-flow capacity converted in the step 2 as an output node; 5, calculating predicted open-flow capacity through the neural network model according to to-be-predicted well data; 6, calculating the oil yield according the inflow performance equation and the predicted open-flow capacity. The method is easy to implement, the prediction accuracy of the gas-oil ratio can be improved by sufficiently using content data of various hydrogen components from C1 to C5 (methane to pentane), the gas yield can be calculated according to oil yield and the gas-oil ratio, and the yield of petroleum and natural gas is predicted simultaneously.

Description

Technical field [0001] The invention relates to the field of oil and natural gas exploration and development, and in particular to a method for quantitative prediction of productivity based on gas logging information. Background technique [0002] With the development of the national economy, people are increasingly dependent on oil and natural gas. Oil and gas well reservoir production prediction can guide the formulation of development plans and is also of great significance for avoiding exploration and development risks. [0003] Gas logging is a ground testing technology for natural gas while drilling. It mainly measures and analyzes the composition and content of natural gas in the drilling fluid, and uses chromatographic gas measurement technology to separate, identify and measure the collected gas through a chromatographic column. , You can change C 1 ~C 5 The content of various hydrocarbon components (methane to pentane) is continuously recorded. [0004] At present, the ap...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/08
CPCG06F30/367G06N3/08
Inventor 吴丰王超闻竹丛林林邓浩阳司马立强
Owner SOUTHWEST PETROLEUM UNIV
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