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Sequential Gaussian co-simulation of rate decline parameters of longwall gob gas ventholes

机译:高壁采空区瓦斯气孔降速参数的顺序高斯协仿真

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摘要

Gob gas ventholes (GGVs) are used to control methane inflows into a longwall mining operation by capturing the gas within the overlying fractured strata before it enters the work environment. Using geostatistical co-simulation techniques, this paper maps the parameters of their rate decline behaviors across the study area, a longwall mine in the Northern Appalachian basin. Geostatistical gas-in-place (GIP) simulations were performed, using data from 64 exploration boreholes, and GIP data were mapped within the fractured zone of the study area. In addition, methane flowrates monitored from 10 GGVs were analyzed using decline curve analyses (DCA) techniques to determine parameters of decline rates. Surface elevation showed the most influence on methane production from GGVs and thus was used to investigate its relation with DCA parameters using correlation techniques on normal-scored data. Geostatistical analysis was pursued using sequential Gaussian co-simulation with surface elevation as the secondary variable and with DCA parameters as the primary variables. The primary DCA variables were effective percentage decline rate, rate at production start, rate at the beginning of forecast period, and production end duration. Co-simulation results were presented to visualize decline parameters at an area-wide scale. Wells located at lower elevations, i.e., at the bottom of valleys, tend to perform better in terms of their rate declines compared to those at higher elevations. These results were used to calculate drainage radii of GGVs using GIP realizations. The calculated drainage radii are close to ones predicted by pressure transient tests.
机译:采空区瓦斯通气孔(GGV)用于控制甲烷进入长壁开采作业,方法是在上覆裂隙地层进入工作环境之前先将其捕获,然后将其捕获。本文使用地统计协同模拟技术,绘制了整个研究区(北阿巴拉契亚盆地的长壁矿山)的速率下降行为参数。使用来自64个勘探井眼的数据进行了地统计气田(GIP)模拟,并将GIP数据绘制在研究区域的裂缝区内。此外,使用下降曲线分析(DCA)技术分析了从10个GGV监测到的甲烷流速,以确定下降速率的参数。表面高度对GGV产生的甲烷影响最大,因此使用相关技术对标准评分数据进行研究,以研究其与DCA参数的关系。地统计学分析是使用顺序高斯协仿真进行的,地表高程为次要变量,DCA参数为主要变量。 DCA的主要变量是有效百分比下降率,生产开始时的比率,预测期开始时的比率以及生产结束持续时间。提出了联合仿真结果,以可视化区域范围内的下降参数。与较高海拔的井相比,位于较低海拔处(即山谷底部)的井的速率下降往往表现更好。这些结果被用于使用GIP实现来计算GGV的排水半径。计算得出的排水半径接近于压力瞬态试验预测的排水半径。

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