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Statistical analyses of reservoir and fracturing parameters for a multifractured shale oil reservoir in Mississippi
Energy Science & Engineering ( IF 3.5 ) Pub Date : 2019-11-06 , DOI: 10.1002/ese3.537 Xu Yang 1 , Boyun Guo 1
Energy Science & Engineering ( IF 3.5 ) Pub Date : 2019-11-06 , DOI: 10.1002/ese3.537 Xu Yang 1 , Boyun Guo 1
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The use of multifractured horizontal wells has improved the efficiency of hydrocarbon extraction from shale gas and oil plays. It is highly desirable to estimate the characteristics of the reservoir and well fracturing through production data analysis. Production rate transient data from 16 wells in the Mississippi sections were analyzed to estimate local reservoir permeability and hydraulic fracture parameters. Key factors affecting well productivity have been identified for optimizing future well completion. Based on the theory of distance of investigation during transient linear flow, the reservoir matrix permeability of TMS was estimated to be between 53 nd and 210 nd, averaging at 116 nd. The matrix permeability follows the lognormal distribution and is considered homogeneous according to the coefficient of variation. The fracture half‐length was estimated using the matrix permeability data from the rate transient analysis. The fracture half‐length was found to have a mean value of 234 ft with a standard deviation of 66 ft in a normal distribution. The fracture conductivity was back‐calculated by matching pseudosteady production rate data to Guo et al's (SPE Reserve Eval Eng.12, 2009, 879) productivity model for boundary‐dominated flow. The fracture conductivity was estimated to range from 0.4 md‐ft to 3.2 md‐ft, averaging at 1.4 md‐ft. Based on Guo et al's (SPE Reserve Eval Eng.12, 2009, 879) well productivity model applied to TMS condition, well productivity can be improved significantly by increasing fracture length and conductivity. Future TMS wells should be completed with conductivity values of greater than 10 md‐ft.
中文翻译：
密西西比州多页岩页岩油藏储层和压裂参数的统计分析
多裂口水平井的使用提高了从页岩气和石油中提取烃的效率。通过生产数据分析来估计储层和井压裂的特征是非常合乎需要的。分析了密西西比地区16口井的生产速率瞬变数据，以估算局部油藏渗透率和水力压裂参数。已经确定了影响油井生产率的关键因素，以优化未来的油井完井。根据瞬态线性流动过程中研究距离的理论，TMS的储层基质渗透率估计在53到210 nd之间，平均为116 nd。矩阵渗透率遵循对数正态分布，并根据变化系数被认为是均匀的。使用速率瞬变分析中的基质渗透率数据估算裂缝的半长。在正态分布中，发现断裂半长的平均值为234英尺，标准偏差为66英尺。通过将伪稳态生产率数据与郭等人（SPE Reserve Eval Eng.12，2009，879）的边界支配流动生产率模型进行匹配，反演了裂缝的电导率。断裂电导率估计为0.4 md-ft至3.2 md-ft，平均为1.4 md-ft。基于Guo等人（SPE Reserve Eval Eng.12，2009，879）应用于TMS条件的井产能模型，可以通过增加裂缝长度和电导率来显着提高井产能。将来的TMS井的电导率值应大于10 md-ft。
更新日期：2019-11-06
中文翻译：
密西西比州多页岩页岩油藏储层和压裂参数的统计分析
多裂口水平井的使用提高了从页岩气和石油中提取烃的效率。通过生产数据分析来估计储层和井压裂的特征是非常合乎需要的。分析了密西西比地区16口井的生产速率瞬变数据，以估算局部油藏渗透率和水力压裂参数。已经确定了影响油井生产率的关键因素，以优化未来的油井完井。根据瞬态线性流动过程中研究距离的理论，TMS的储层基质渗透率估计在53到210 nd之间，平均为116 nd。矩阵渗透率遵循对数正态分布，并根据变化系数被认为是均匀的。使用速率瞬变分析中的基质渗透率数据估算裂缝的半长。在正态分布中，发现断裂半长的平均值为234英尺，标准偏差为66英尺。通过将伪稳态生产率数据与郭等人（SPE Reserve Eval Eng.12，2009，879）的边界支配流动生产率模型进行匹配，反演了裂缝的电导率。断裂电导率估计为0.4 md-ft至3.2 md-ft，平均为1.4 md-ft。基于Guo等人（SPE Reserve Eval Eng.12，2009，879）应用于TMS条件的井产能模型，可以通过增加裂缝长度和电导率来显着提高井产能。将来的TMS井的电导率值应大于10 md-ft。
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