Research On The Relationship Of Drainage Parameters In CBM Wells Based On Big Data Analysis

With the updating of automation equipment,the mining of coalbed methane(CBM)has gradually entered the semi-automatic development stage in China,which can assist in the automatic collection of most of the drainage parameters,so it has accumulated a large amount of drainage data over time.However,the drainage of coalbed methane wells still has the following problems: In the formulation of the drainage system,they mainly rely on old well experience and engineer experience,and there is no quantitative standard setting;Unreasonable drainage system will result in insufficient release of production capacity and low gas production in CBM wells;The situation of large amounts of coal powder produced in the drainage is likely to cause problems such as pump stuck and pump burying,which always affects the continuity of drainage in CBM wells.Therefore,in this paper,taking the massive drainage data accumulated by coalbed methane wells as the research object,the collected data set is processed first,and then the data is analyzed based on the big data analysis method.At last,the discriminant standards and corresponding data processing methods are established for the closed well type,the stop pump type,the writing missing type,the equipment unupdated type and the building pressure type.Secondly,the relationship between the length of the foam section and the bottom hole pressure,the liquid level,the casing pressure and the daily gas production is analyzed by plotting the relationship curves between the drainage parameters.The least square fitting method is used to establish the unary model and the multi-model to predict the bottom hole pressure.Finally,based on the theory of gas production engineering,a formula for reversely solving the gas production and water production of bottom area in CBM wells is established and then use machine learning method to learn the relationship between the bottom hole production,bottom hole flowing pressure,casing pressure,and dynamic liquid level and establish the prediction model of coal powder content level in CBM wells,which will make it possible to adjust the drainage system in advance to prevent the output of a large amount of coal powder and prevent issues such as pump stuck and pump burying,and finally realize the continuous,stable and efficient drainage of CBM wells.