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The Ultimate Potential for Unconventional Gas in the Horn River Basin:Integrating Geological Mapping with Monte Carlo Simulations

机译:霍尔河流域非传统气体的最终潜力:与蒙特卡罗模拟集成地质映射

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The Horn River Basin of northeastern British Columbia,Canada,contains natural gas in three Devonian shale units.Isopachs,depths,and net-to gross-pay ratios were determined from well logs for the Muskwa,Otter Park,and Evie Shales and then gridded.Pressure gradients were determined from well test and production data and then gridded into a single grid shared between shales.Because grid points were shared between each grid,volumetric and adsorbed gas equations could be integrated into each grid point.Static values or distributions could then be applied to equation variables and Monte Carlo simulations run to determine probabilistic gas in place(GIP)and marketable resources for each grid point,which were then summed for each shale.Grid points for the isopach and depth maps were treated as static values in the equations while net-togross and pressure gradient grid points became most likely values in Beta distributions where end points were assigned using regional low and high values.Most non-mapped variables in the equations were filled with Beta distributions based on typical values in the area and then applied across the basin without any local variations.On each distribution,whether based on mapped or unmapped variables,a second,overlying distribution was applied on a basin scale.This made entire iterations run a full range from pessimistic to optimistic.A few non-mapped variables in the equations were given static values.Recoverable gas resources were estimated by applying a recovery factor to free GIP estimates.Recoverable volumes from adsorbed GIP estimates were determined from a recovery factor applied to the portion of gas that would desorb during production as pressure decreased to the assumed well abandonment pressure.To determine marketable gas,gas impurities and fuel gas that would be used for processing and transport were estimated and subtracted from the recoverable estimates.Further,certain lower quality areas of the basin were excluded from the assessment,based on a low likelihood of being developed.The Horn River Basin shales are estimated to contain 10 466 10~9m~3(372 Tcf)to 14 894 10~9m~3(529 Tcf)of GIP with the expected outcome of 12 629 10~9m~3(448 Tcf).The marketable resource base is expected to be 1 715 10~9m~3(61 Tcf)to 2 714 10~9m~3(96 Tcf),with an expected outcome of 2 198 10~9m~3(78 Tcf).
机译:加拿大英国哥伦比亚东北部的喇叭河流域含有三个德文郡页岩单位的天然气。从穆斯哈,水獭公园和evie haales的良好日志中确定了自然天然气和净毛额比率。 。压抑梯度是从井测试和生产数据中确定的,然后将网格网格包装在Shales之间的一个网格中。由于在每个网格,体积和吸附的气体方程之间共享网格点可以集成到每个网格点中。然后,可以集成到每个网格点中适用于公式变量和蒙特卡罗模拟运行以确定每个网格点的概率气体(GIP)和适用于每个网格点的可销售资源,然后为每个Shale.Grid Points概括为ISopach和Depth Maps的静态值被视为静态值方程式,而Net-togross和压力梯度网格点变得最有可能在测试终点的测试版中的值,其中使用区域低价和高值分配结束点。至上没有等式中的N映射变量基于该区域中的典型值填充了Beta分布,然后在没有任何局部变化的情况下应用于盆地。每个分布,无论是基于映射或未映射的变量,还应用了一秒覆盖分布一个盆地。这使得整个迭代从悲观运行到乐观的全部范围。通过将恢复因子应用于自由GIP估计来估计,估计静止的气体资源,估计静止的气体资源,因此通过将恢复因子应用于自由GIP估计来估计静止的气体资源。从吸附的恢复量估计,估计静止的气体资源。从吸附的恢复量估计,估计恢复量估算。从吸附的恢复量估算估计。从施加到施加到生产过程中的气体部分的恢复因子中确定GIP估计,因为压力降低到假设的井放弃压力期间。要确定可用于加工和运输的可销售气体,燃气杂质和燃料气体估计从可恢复的估计中减去。培养物,盆地的某些较低质量的区域被排除在评估之外根据开发的低可能性。山河流域估计含有10 466 10〜9M〜3(372 TCF)至14 894 10〜9M〜3(529 TCF)的GIP,预期结果为12 629 10〜9M〜3(448 TCF)。市场资源基础预计为1 715 10〜9M〜3(61 TCF)至2 714 10〜9M〜3(96 TCF),预期结果为198年10〜9m〜3(78 TCF)。

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