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Geostatistical Analysis of Bottom-Hole Temperatures in the Denver and Williston Basins: North America

机译:丹佛和威利斯顿盆地底孔温度的地统计分析:北美

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Bottom-hole temperatures (BHTs) obtained from oil and gas wells have never been completely reliable due to the formation temperature disturbance caused by the influence of the drilling mud on the formation rock during drilling. A correction method must be applied before any BHT data can be used. The source and method of the correction, however, has been a topic of dissention since the early 70s, when BHTs began to be used for estimates of temperature at depth to determine such things as hydrocarbon maturity, thermal history, and geother-mal energy assessment. Several correction methods are currently used: the Harrison (Harrison et.al., 1983), Kehle (Kehle et.al., 1970), and Forster (Foerster et.al., 1996) are among the most prevalent. None of these methods yield a correction that represents a statistically accurate distribution of BHTs, although the Harrison and Kehle have been found to be a much better approximation (Crowell and Gosnold, 2013). All of these methods were developed using a top-down approach, where an equilibrium temperature profile has been obtained and a correction equation was developed to attempt to shift the best fit line of the data points to the best fit line of the data obtained at equilibrium. In addition, formation data are not always included with the bottom-hole temperature data. This makes resource assessment based on formation difficult, if not impossible. We therefore hypothesize that by using two geostatistical methods, Moran's Ⅰ and Getis-Ord, we will be able to evaluate if a better correlation exists between a depth-interval well parsing versus a geochronological unit well parsing, and if a correlation exists, is it strong enough to indicate that a correction factor is possible.
机译:由于在钻井过程中钻井泥浆对地层岩石的影响导致地层温度扰动,因此从油气井获得的井底温度(BHT)从未完全可靠。必须先采用校正方法,然后才能使用任何BHT数据。然而,自70年代初以来,校正的来源和方法一直是争论的话题,当时BHT开始用于估算深部温度,以确定诸如烃成熟度,热历史和地热能评估之类的内容。 。当前使用了几种校正方法:Harrison(Harrison等,1983),Kehle(Kehle等,1970)和Forster(Foerster等,1996)是最流行的校正方法。尽管已发现Harrison和Kehle是更好的近似值,但这些方法都无法产生代表BHT统计精确分布的校正(Crowell和Gosnold,2013)。所有这些方法都是使用自顶向下的方法开发的,其中已获得平衡温度曲线,并开发了一个校正方程,以尝试将数据点的最佳拟合线移至平衡时获得的数据的最佳拟合线。 。另外,地层数据并不总是包括在井底温度数据中。如果不是不可能的话,这将使基于形成的资源评估变得困难。因此,我们假设通过使用两种地统计学方法,即MoranⅠ和Getis-Ord,我们将能够评估深度间隔井解析与地质年代单元解析之间是否存在更好的相关性,如果存在相关性,是否强度足以表明校正因子是可能的。

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