基于解析-數(shù)值耦合法的瓦斯壓力預(yù)判方法
發(fā)布時(shí)間:2018-12-06 07:00
【摘要】:瓦斯壓力是煤層瓦斯的重要基礎(chǔ)參數(shù),為了掌握煤層瓦斯壓力,基于煤層瓦斯連續(xù)方程進(jìn)行了瓦斯壓力與煤層傾斜長(zhǎng)度解析模型的推演,針對(duì)推演出的模型結(jié)合數(shù)值擬合方法建立了一種解析-數(shù)值耦合的瓦斯壓力預(yù)判方法。為便于比較該方法與一般數(shù)值擬合的差異,選擇了淺埋煤層及深部煤層兩個(gè)差異化樣本。不同樣本下,一般數(shù)值擬合方法與耦合方法預(yù)判結(jié)果顯示:樣本Ⅰ中不同預(yù)判方法的相關(guān)性系數(shù)均在0.9874之上,樣本Ⅱ中不同的預(yù)判模型相關(guān)性系數(shù)差異較大,耦合模型相關(guān)性系數(shù)最大為0.7786;樣本Ⅰ中標(biāo)準(zhǔn)差數(shù)值及不同方法間差異均較小,樣本Ⅱ中標(biāo)差差異較明顯;一般預(yù)判方法瓦斯壓力增長(zhǎng)梯度隨傾斜長(zhǎng)度的增加逐漸變大與實(shí)際不符,耦合方法瓦斯壓力隨傾斜長(zhǎng)度增長(zhǎng)趨于穩(wěn)定與實(shí)際情況一致;不同預(yù)判模型下瓦斯壓力生長(zhǎng)曲線(xiàn)不因樣本差異而有較大的波動(dòng)。綜合不同樣本瓦斯壓力預(yù)判結(jié)果可知,淺埋煤層瓦斯壓力預(yù)判可應(yīng)用線(xiàn)性回歸方法,深部煤層瓦斯壓力預(yù)判應(yīng)用耦合方法與實(shí)際更相符。
[Abstract]:Gas pressure is an important basic parameter of coal seam gas. In order to master the gas pressure of coal seam, the analytical model of gas pressure and inclined length of coal seam is deduced based on the continuous equation of coal seam gas. Based on the derived model and numerical fitting method, an analytical-numerical coupled method for predicting gas pressure is established. In order to compare the difference between this method and general numerical fitting, two different samples of shallow coal seam and deep coal seam were selected. Under different samples, the results of general numerical fitting method and coupling method show that the correlation coefficients of different prediction methods in sample 鈪,
本文編號(hào):2365624
[Abstract]:Gas pressure is an important basic parameter of coal seam gas. In order to master the gas pressure of coal seam, the analytical model of gas pressure and inclined length of coal seam is deduced based on the continuous equation of coal seam gas. Based on the derived model and numerical fitting method, an analytical-numerical coupled method for predicting gas pressure is established. In order to compare the difference between this method and general numerical fitting, two different samples of shallow coal seam and deep coal seam were selected. Under different samples, the results of general numerical fitting method and coupling method show that the correlation coefficients of different prediction methods in sample 鈪,
本文編號(hào):2365624
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