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Multi-well Deconvolution Algorithm for the Diagnostic, Analysis of Transient Pressure with Interference from Permanent Down-hole Gauge (PDG) (SPE-121949)

机译:诊断,瞬态压力分析与永久性下孔仪(PDG)的干扰分析(SPE-121949)的多孔折叠算法

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Permanent Down-hole Gauge (PDG) has been widely installed in the oilfield around the world in recent years. One of the challenges in analysing long-term, real-time, dynamic data such as transient pressure from PDG is the diagnostic and analysis of data with interference from other wells during the production. This type of data is very common in practice, while the published technique such as deconvultion algorithm failed in handling this problem. Based on traditional interference test theory, muti-well deconvolution algorithm has been developed to address the problem in handling transient pressure with interference. A computer programme has been coded, a number of synthetic cases were studied, which proved that the developed algorithm works well for the problem stated above. This paper presents the study results of applying the developed multi-well deconvolution technique in the diagnostic, processing and analysis of the numerically simulated transient pressure with interference. It was demonstrated that the interference effect can be identified, the published deconvolution algorithm failed in handling such data set, while the developed multi-well deconvolution algorithm worked well. The paper shows that only after this data processing procedure, further analysis of the transient pressure data using methods such as decline curve analysis etc. is possible.
机译:近年来,世界各地的油田广泛安装了永久井下洞仪表(PDG)。分析长期,实时动态数据(如PDG的瞬态压力)的挑战之一是在生产过程中诊断和分析与其他井中的干扰。这种类型的数据在实践中是非常常见的,而发布的技术如DeconVoltion算法在处理此问题时失败。基于传统的干扰测试理论,已经开发了Muti-Well Deconvolution算法来解决处理瞬态压力的问题。已经编码了计算机程序,研究了许多合成案例,这证明了发达的算法适用于上述问题。本文介绍了在诊断,加工和分析中使用干扰的诊断,加工和分析应用开发的多孔碎片卷积技术的研究结果。据证明,可以识别干扰效果,发布的解卷积算法在处理这种数据集时失败,而开发的多孔碎屑算法很好。本文仅显示在该数据处理过程之后,可以使用诸如下降曲线分析等方法进行进一步分析瞬态压力数据。

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