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Integrated Approach to Address Reservoir Uncertainties in One of the Largest Recent Gas Discoveries Onshore Egypt

机译:综合办法解决最近最近的埃及最大的天然气发现之一的水库不确定性

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The BTE field is one of the largest recent gas discoveries in the Egyptian Western Desert. The main subsurface uncertainties impacting the Initial Gas in Place (GIIP) are Gas Water Contact (GWC), structure, fault positions and sand development. Given the large subsurface uncertainties, it is planned to further appraise the field with one or two appraisal wells and reshooting seismic. Other key uncertainties are sand quality, intra-field faults and aquifer strength. These uncertainties will impact the wells deliverability, Estimated Ultimate Recovery per well (EUR/well) and the Ultimate Recovery Factor (URF). The EUR/well and the URF are a function of the number of wells drilled. An integrated probabilistic modelling (experimental design model) approach was developed to consider all main reservoir uncertainties together and determine the true P90, P50 and P10 EUR subsurface realizations. Three different software packages were used and linked together; Material Balance Equation1-3 (MBE) software, statistical 4 package software, and Spreadsheet software. The three packages are talking to each other through Visual Basic for Application5 (VBA) programming language. This probabilistic model enables the user to run sensitivity studies by changing one parameter at a time and check its effect of EUR. The model also lends itself for uncertainty studies (experimental design) by examining all the possible combinations scenarios between the different uncertain parameters; such as GIIP, tanks transmissibility, wells flow coefficient 6 (C), wells flow exponent (n), relative permeability parameters, aquifer properties7, etc.
机译:BTE领域是埃及西部沙漠最近的最近最大的天然气发现之一。影响初始气体的主要地下不确定性(GiIP)是煤气接触(GWC),结构,故障位置和砂开发。鉴于大量的地下不确定性,计划进一步评估一个或两台评估井并重塑地震。其他关键的不确定性是砂质量,现场内断层和含水层的强度。这些不确定性将影响井的可递送性,估计每井(EUR / WEL)和最终回收因子(URF)的终极回收率。欧元/井,URF是钻井井数的函数。开发了一种集成的概率建模(实验设计模型)方法,以将所有主要的储层不确定性视为全部,并确定真正的P90,P50和P10 EUR地下实现。使用三种不同的软件包并联系在一起;材料平衡公式1-3(MBE)软件,统计4封装软件和电子表格软件。这三个包通过Visual Basic用于Application5(VBA)编程语言来互相交谈。该概率模型使用户能够一次通过改变一个参数来运行灵敏度研究并检查其欧元的效果。该模型还利用了不确定性研究(实验设计)通过检查不同不确定参数之间的所有可能的组合情景;如Giip,罐变速能率,井流量系数6(c),井流量指数(n),相对渗透性参数,含水层属性7等。

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