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Effective Integration of the Core Analysis and Wireline Datasets-Using a New Core Analysis Data Suite and New Software

机译:有效地集成核心分析和有线数据集-使用新的核心分析数据套件和新软件

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Core analysis information is considered one of therncornerstones of formation evaluation. However, there seems tornbe general consensus that more could be done with it, both inrnthe scope of the petrophysical data obtained and how it isrnused. In recognition of this, a suite of methods have beenrndeveloped that provide a ‘new’ extended core data set, andrnsoftware has been designed expressly for the interpretation ofrncore data.rnHistorically, there has been a gap in the services providedrnby core analysis laboratories. Routine core analysis (RCA)rnprovides core plug measurements such as porosity,rnpermeability, fluid saturations, grain density and whole corerngamma at high sample frequency and low cost. However, thisrndata has limited interpretative potential. On the other hand,rnspecial core analysis (SCAL) provides a range of informationrnwith high interpretative potential, but at a low samplingrnfrequency, primarily due to the cost and extended time framesrnassociated with gathering the data.rnA new data set was designed to compliment the currentrn(RCA) data set, significantly extending its interpretativernpotential. The additional measurements performed are total,rneffective and furnace porosity, capillary pressure versus waterrnsaturation curve, surface area, core plug spectral gamma andrnan extended sample description. This new information fillsrnthe gap that currently exists between RCA and SCAL data, byrnproviding significant interpretative potential at a highrnsampling frequency and in a reasonable time frame.rnThe computation of core-based or core-enhancedrnpetrophysical interpretations has also been hampered by thernlack of software designed expressly for modeling core data.rnMost petrophysical packages are decidedly log-centric, whichrnhas limited the effective integration of core and log data.rnMuch core data processing is performed using spreadsheets,rnwith inherent data integration and transfer limitations. Tornredress the balance, a core interpretation module designed tornhandle both the new data suite and existing core data, has beenrndeveloped within a main-stream log analysis softwarernpackage.rnApplications using the new data suite include calibration ofrnpetrophysical parameters, the estimation of Qv profile fromrnsurface area data, the independent assessment of waterrnsaturation through the reservoir, and the estimation of initialrnreservoir flow properties at production start-up. The finalrnoutcome is that core analysis becomes truly a parallelrnformation evaluation discipline. In order to illustrate the corelogrnintegration capabilities of the package, case studies arernpresented.
机译:岩心分析信息被认为是地层评价的基石之一。但是,似乎总的共识是,无论是在获得的岩石物理数据的范围还是如何使用它方面,都可以用它做更多的事情。认识到这一点,开发了一套提供“新”扩展核心数据集的方法,并且专门设计了用于解释核心数据的软件。从历史上看,核心分析实验室提供的服务存在差距。常规岩心分析(RCA)可在高采样频率和低成本条件下提供岩心塞测量,例如孔隙率,渗透率,流体饱和度,颗粒密度和整个岩心。但是,该数据的解释潜力有限。另一方面,特殊核心分析(SCAL)提供了具有较高解释潜力的信息范围,但采样频率较低,这主要是由于与收集数据相关的成本高昂和时间长。设计一个新的数据集来补充当前的信息。 (RCA)数据集,大大扩展了其解释性潜力。进行的其他测量是总的,有效的和炉子的孔隙率,毛细管压力与水的饱和度曲线,表面积,岩心塞谱伽玛和南安扩展的样品描述。通过在高采样频率和合理的时间范围内提供巨大的解释潜力,这一新的信息填补了RCA和SCAL数据之间当前存在的空白。核心或核心增强的岩石物理解释的计算也受到了明确设计软件的缺乏的阻碍。用于建模核心数据。大多数岩石物理软件包绝对是以日志为中心的,这限制了核心数据和日志数据的有效集成。rn许多核心数据处理都是使用电子表格执行的,具有固有的数据集成和传输限制。在主流测井分析软件包中已经开发出了Tornredress the balance,这是一个设计用于处理新数据套件和现有核心数据的核心解释模块。使用新数据套件的应用包括岩石物理参数的校准,从表面积数据估算Qv剖面图,通过储层的水饱和度的独立评估,以及在生产启动时估算初始储层流动性。最终结果是核心分析真正成为一种并行信息评估学科。为了说明该软件包的corelogrnintegration功能,提出了案例研究。

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