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煤层气井产量变化规律及产能预测
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摘要
本文在调研大量相关文献基础上,分析了煤层气的赋存规律、解吸规律和渗流特征。通过对韩城和晋城两个矿区的实际资料分析认为,由于两个矿区的地质条件不同,所以呈现出不同的生产特征。韩城矿区煤层气井的生产特征表现为:产水量大,排水期长;单井产量差别大;提液产气;稳产时间长;产量波动大;低产期持续时间长;峰值期不明显。晋城矿区煤层气井的生产特征表现为:排水量达到峰值后,就开始产气;不同井稳产期持续时间差异大;递减期持续时间长,递减平缓,大部分产量是在递减期获得;二次措施后增产效果明显,并延长了油井生产寿命。根据煤层气井产量递减规律分析结果,研究区大部分井表现为指数递减,个别井表现为调和递减和双曲线递减,而且不同井的递减率差异比较大。结合实际数据分析了影响煤层气井的各个因素,包括煤储层厚度、煤储层物性、水文地质条件、多层合采、层间干扰和排采技术等。
     根据实际生产井资料,建立了中国煤层气井生产模式。从解吸、渗流平衡的机理出发,建立了合理地层压力水平的模型,优化出了合理的地层压力,分析了峰值产量形成的条件。
     依据线性回归方法、翁氏模型、灰色系统以及月产累产之比递减分析法对实际生产井进行了产量预测。结果表明线性回归方法、翁氏模型预测法、灰色系统预测法和月产累产之比递减分析法的预测数据与实际生产数据相关性较好,各种方法所得的平均误差率分别为3.65%、10.8%、1.39%、和9.108%,不同方法适合于不同生产阶段的井。
By analysising the actual data of Hancheng and Jincheng,because of different geological conditions of the two mines,there are different production characteristics in the two mines.The characteristics of CBM wells in Hancheng are producing a large amount of water and long drainage.Per well production is different.The stable time is long,also is low yield time.The peak time is not clear. The characteristics of CBM wells in Hancheng are gas producting after drainage peak. The duration of stable time of different wells are different. The decline time is long,and decreasing is flat. Most of the output is in the reduced period.Yield increased after secondary measures,and productive life of CBM wells are extend. Production decline law of CBM wells are stressly analysed.Most wells are exponential decline,a few wells are harmonic decline and hyperbolic decline. Decline rate of different wells are very different There are different production characteristics in different wells,which are controlled by geologic factor and drainage techniques.
     With dynamic analysis of CBM well,three production models are classified. Based on the equilibrium mechanism of desorption and flow, a reasonable level of formation pressure model is established,which optimizes reasonable formation pressure and analysics of the formation conditions of peak production.
     Linear regression、Weng's model、gray system GM(1,1) model and monthly production/cumulative production are respectively used to calculate the productivity rate of CBM wells. It turns out that forecast data by Linear regression、Weng's model prediction、gray system GM(1,1) Model and monthly production/cumulative production is well interrelated to actual production data. The average error rate of every model are 3.65%、10.8%、1.39% and 9.108%. Different methods are fit different stages of production wells.
引文
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