论文部分内容阅读
本文使用几种计算法和统计法研究美国西弗吉尼亚洲中部格兰尼克里克油田大Ｉｎｊｕｎ砂岩储集层的结构及其与采油量的关系。计算机程序根据已出版的资料编写，以适合（ｌ）计算渗透率对孔隙度的回归；（２）标绘三维孔隙度；（３）确定和标绘根据地球物理测井记录推断的相；（４）估算原始储量、累积产量和采油率。因为回归分析显示出测井记录和岩心孔隙度及岩心渗透率间微弱但重要的相关，所以，孔隙度可用干地层渗透率中以构成储集层的模式。也使用定量地层对比和多维定算法来估算在缺乏可用数据的情况下构造的影响。于井间使用克里格法内插绘制的剖面，突出了孔隙度较高的地带。使用地球物理测井资料和岩心描述，用聚类分析确定导电相。原始储量的估算结果与累计产量数据相结合，得出采油率的估算值。这些采油量变量图通常呈现在岩相图上观察到的相同的南北走向。
In this paper, we use several computational methods and statistical methods to study the structure of the large Injun sandstone reservoir in the Granny Creek Oilfield, West Virginia, USA and its relationship with oil production. The computer program was compiled from published data to fit (1) the calculation of permeability for porosity regression; (2) to plot three-dimensional porosity; (3) to identify and plot inferred phases from geophysical logs; 4) Estimate the original reserves, cumulative yields and oil recovery rates. Because regression analysis shows a weak but important correlation between well log and core porosity and core permeability, porosity can be used in dry formation permeability to model reservoir formation. Quantitative stratigraphic correlation and multidimensional algorithms are also used to estimate the effects that are constructed in the absence of available data. Cross sections between wells using the kriging interpolation highlight areas of higher porosity. Using geophysical logs and core descriptions, cluster analysis was used to determine the conductive phase. The combination of the estimation of the original reserves and the cumulative production data gives an estimate of the oil recovery rate. The plot of these production volumes usually shows the same north-south direction observed on lithofacies.