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New equation for predicting Critical desorption pressure of coal seam gas based on BP neural network
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 82nd EAGE Annual Conference & Exhibition, Oct 2021, Volume 2021, p.1 - 5
Abstract
The critical desorption pressure is the basic measurement index of whether multi-gas system can be combined and discharged. There are many influencing factors, so it is generally necessary to obtain langmuir parameters. In actual exploration and development, it is often necessary to obtain the critical desorption pressure quickly and accurately without langmuir parameters. This paper firstly analyzes the main control factors of critical desorption pressure, and concludes that the critical desorption pressure in the research area is highly correlated with reservoir temperature, burial depth, reservoir pressure and coal quality parameters. Considering the complex relationship between various factors, the introduction of neural network analysis method, and found that this method is more effective for predicting the critical desorption pressure. Using this method, the standardized importance parameters are ash content, volatile content, temperature, based on the three parameters, combining the reality of multiple regression equation is established to facilitate rapid application prediction equation. The critical desorption pressure in the study area is calculated and predicted, and compared with the measured value, it is found that the correlation is high. Taking a key parameter well in the study area as an example, the gas production sequence is divided.