Stimulated Oil Reservoir Volume Estimation of Prominent US Tight Oil Formations

P. Panja, R. Velasco, M. Deo
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Abstract

In this work, we estimate the Stimulated Original Oil In Place (SOOIP) of hydraulically fractured horizontal wells in prominent shale plays. This is done by compiling production data from hundreds of wells belonging to the Bakken, Niobrara, Wolfcamp, Eagle Ford, Bone Springs, and Woodford totaling over 2,500 wells. Additionally, we present probabilistic distributions of SOOIP with mean, standard deviation, P10, P50, and P90 estimates for each play. To circumvent the challenge of data availability for each well, we use the findings of a previous study where all reservoir unknowns are grouped into two major parameters. One of these parameters, alpha, is a function of the stimulated reservoir volume, compressibility, and pressure drawdown, where the last two are unknowns. While alpha is determined with high confidence for each well, we account for the uncertainty of compressibility and drawdown values across wells by assuming a normal distribution for these parameters. Lastly, by incorporating 1 million Monte Carlo samplings and a Mersenne Twister random number generator we estimate SOOIP distributions for each play with varying degrees of confidence. The final results show that the Niobrara and Bakken have the highest mean SOOIP values per well while the values for the Woodford and Bone Springs are the lowest among all six plays considered. Volumetric calculations using data from the literature qualitatively corroborate these findings. New insight on the stimulated volumes per well for prominent shale plays can be derived from these results as they correlate to horizontal well length, formation thickness, and hydraulic fracture half-lengths in each play.
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美国著名致密油储层的增产油藏体积估算
在这项工作中,我们估计了在突出的页岩区水力压裂水平井的原始产油量(SOOIP)。这是通过收集Bakken、Niobrara、Wolfcamp、Eagle Ford、Bone Springs和Woodford共计2500多口井的生产数据来完成的。此外,我们给出了SOOIP的概率分布,包括每个油气藏的均值、标准差、P10、P50和P90估计值。为了规避每口井数据可用性的挑战,我们使用了之前的研究结果,该研究将所有未知的油藏分组为两个主要参数。其中一个参数alpha是油藏体积、压缩性和压降的函数,后两个参数是未知的。虽然每口井的alpha值都是高置信度确定的,但我们通过假设这些参数的正态分布来考虑井间压缩性和压降值的不确定性。最后,通过合并100万个蒙特卡罗样本和一个梅森扭扭随机数生成器,我们以不同的置信度估计每个游戏的SOOIP分布。最终结果表明,Niobrara和Bakken的单口井平均SOOIP值最高,而Woodford和Bone Springs的单口井平均SOOIP值最低。利用文献数据进行的体积计算定性地证实了这些发现。这些结果与水平井长度、地层厚度和每个区块的水力裂缝半长有关,因此可以对重要页岩区块的单井增产体积有新的认识。
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