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Wellbore Leakage Model for Above-Zone Monitoring at Cranfield, MS

机译:MS克兰菲尔德上方井漏模型

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Geologic storage of CO2 for atmospheric emissions reductions imposes unique requirements to document containment. Monitoring pressure in strata above the injection interval is a fit-to-purpose technique to document performance of confining system and degree of isolation provided by existing wellbore completions. Field data are collected over two-and-a-half year period during a continuous industrial-scale CO2 injection at an enhanced oil recovery (EOR) site at Cranfield Field, Mississippi. Continuous downhole high-precision pressure and temperature data were collected at a monitoring well at two depths: at the injection interval and at a selected above zone monitoring interval (AZMI). The AZMI is a prevalent non- productive sandstone above the injection zone and a thick confining system. Pressure data show a perturbation in above zone contemporaneously with pressure elevation in injection zone, which suggests a possible interformational fluid communication via wellbore. Meanwhile temperature data maintain a linear correlation between zones with a consistent differential, which indicates negligible volumes of injection interval fluid being introduced into the AZMI. Interpretation of the data requires a physics-based transport model to illustrate the possibility of wellbore leakage and quantify the rate if leakage exists. We model the wellbore leakage by coupling the flow in wellbore and a diffusion model in the above zone sand layer. Matching the pressure data yields an effective wellbore permeability in order of tens of darcies. This corresponds to a large flow rate along the pathway which would very likely raise the temperature in the above zone. To gain insight about the temperature response, we model the heat transfer between the fluid in wellbore and the surroundings. The heat transfer coefficient is tuned and justified by modeling the heat conduction in the formation rock. In order for the temperature in above zone to remain unaffected by that in injection zone, the flow rate should be no more than 10 g/s and the corresponding wellbore permeability not exceed a few darcies. This value is at least an order of magnitude smaller than that estimated from the pressure response. Only if the sand layer in above zone is assumed to have a closed boundary within a few hundred feet of the monitoring well can the pressure data and temperature data be made consistent. However the assumption of closed boundary is not very feasible since there is no evidence of the sand layer being closed by faults locally. We conclude that leakage from the injection zone is very small. The observed pressure increases in the monitoring well are attributed to larger-scale geomechanical phenomena.
机译:对于大气排放的CO2的地质储存减少了对文件遏制的独特要求。在注射间隔上方的地层中的监测压力是一种适应性技术,用于记录限制系统的性能和现有井筒完整提供的隔离程度。在密西西比州的Cranfield Field的增强的储存(EOR)现场,在连续的工业规模二氧化碳注射期间收集现场数据。在两个深度的监测井中收集连续的井下高精度压力和温度数据:在注射间隔和在上述区域监测间隔(AZMI)处。 AZMI是注射区上方的普遍的非生产砂岩和厚厚的限制系统。压力数据显示在进一步的注射区中的压力升高的上方区域的扰动,这表明通过井筒可能的结构间流体通信。同时温度数据在具有一致差分之间的区域之间保持线性相关性,其表示将被引入AZMI的注射间隔流体的可忽略量。对数据的解释需要基于物理的传输模型来说明井筒泄漏的可能性,如果存在泄漏,则量化速率。通过在上述区域砂层中耦合流动和扩散模型来模拟井筒泄漏。匹配压力数据依次产生有效的井眼渗透率。这对应于沿着通路的大流量,这很可能将温度提高上述区域。为了获得对温度响应的洞察力,我们模拟井筒和周围环境中的流体之间的传热。通过在地层岩石中建模的热传导来调谐传热系数和证明。为了使上述区域的温度保持不受影响的情况下,流量不超过10g / s,并且相应的井筒渗透率不超过几个碳酸。该值至少比从压力响应估计的数量级小。仅假设上述区域中的砂层具有在监测井的几百英尺内具有封闭边界,可以使压力数据和温度数据一致。然而,封闭边界的假设是不可行的,因为没有局部故障关闭的砂层的证据。我们得出结论,注射区的泄漏非常小。监测井中观察到的压力增加归因于大规模的地质力学现象。

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