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Connectivity of channelized reservoirs: a modelling approach

机译:通道化储层的连通性:一种建模方法

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Connectivity represents one of the fundamental properties of a reservoir that directly affects recovery.If a portion of the reservoir is not connected to a well,it cannot be drained.Geobody or sandbody connectivity is defined as the percentage of the reservoir that is connected,and reservoir connectivity is defined as the percentage of the reservoir that is connected to wells.Previous studies have mostly considered mathematical,physical and engineering aspects of connectivity.In the current study,the stratigraphy of connectivity is characterized using simple,3D geostatistical models.Based on these modelling studies,stratigraphic connectivity is good,usually greater than 90%,if the net: gross ratio,or sand fraction,is greater than about 30%.At net: gross values less than 30%,there is a rapid diminishment of connectivity as a function of net: gross.This behaviour between net: gross and connectivity defines a characteristic 'S-curve',in which the connectivity is high for net: gross values above 30%,then diminishes rapidly and approaches 0.Well configuration factors that can influence reservoir connectivity are well density,well orientation (vertical or horizontal; horizontal parallel to channels or perpendicular) and length of completion zones.Reservoir connectivity as a function of net: gross can be improved by several factors: presence of overbank sandy facies,deposition of channels in a channel belt,deposition of channels with high width/thickness ratios,and deposition of channels during variable floodplain aggradation rates.Connectivity can be reduced substantially in two-dimensional reservoirs,in map view or in cross-section,by volume support effects and by stratigraphic heterogeneities.It is well known that in two dimensions,the cascade zone for the 'S-curve' of net: gross plotted against connectivity occurs at about 60% net: gross.Generalizing this knowledge,any time that a reservoir can be regarded as 'two-dimensional',connectivity should follow the 2D 'S-curve'.For channelized reservoirs in map view,this occurs with straight,parallel channels.This 2D effect can also occur in layered reservoirs,where thin channelized sheets are separated vertically by sealing mudstone horizons.Evidence of transitional 2D to 3D behaviour is presented in this study.As the gross rock volume of a reservoir is reduced (for example,by fault compartmentalization) relative to the size of the depositional element (for example,the channel body),there are fewer potential connecting pathways.Lack of support volume creates additional uncertainty in connectivity and may substantially reduce connectivity.Connectivity can also be reduced by continuous mudstone drapes along the base of channel surfaces,by mudstone beds that are continuous within channel deposits,or muddy inclined heterolithic stratification.Finally,connectivity can be reduced by 'compensational' stacking of channel deposits,in which channels avoid amalgamating with other channel deposits.Other factors have been studied to address impact on connectivity,including modelling program type,presence of shale-filled channels and nested hierarchical modelling.Most of the stratigraphic factors that affect reservoir connectivity can be addressed by careful geological studies of available core,well log and seismic data.Remaining uncertainty can be addressed by constructing 3D geological models.
机译:连通性是直接影响采收率的储层的基本属性之一。如果一部分储层未连接到井,则无法排空。地物或砂体的连通性定义为已连通储层的百分比,并且储层连通性定义为与井相连的储层的百分比。以前的研究主要考虑了连通性的数学,物理和工程方面。在当前研究中,连通性地层的特征是使用简单的3D地统计模型。这些模型研究表明,地层连通性良好,通常大于90%,如果净值:毛比或砂分率大于约30%。净值:总值小于30%时,连通性会迅速减小净:总和连接性之间的这种行为定义了一个特征“ S曲线”,其中净值:总值的连接性很高高于30%,则迅速减小并趋近于0。影响储层连通性的井眼配置因素包括井密度,井方向(垂直或水平;储集层连通性随网的变化而变化:总储量可通过以下几个因素得到改善:滩涂砂岩相的存在,河道带中河道的沉积,高宽度河道的沉积/二维比率储集层和地层非均质性在二维油藏中(在地图视图或横截面中)可以显着降低连通性。众所周知,在二维中,“连通性:总”的“ S曲线”的级联区域相对于连通性绘制于大约60%的净性:总。总的来说,任何时候只要油藏可视为“二维”,连通性都应遵循二维“ S曲线”。在地图视图中,对于通道化储层,这会发生在笔直,平行的通道中。这种二维效果也可能发生在分层的储层中,其中薄的通道化薄板是分开的该研究提供了从2D到3D过渡行为的证据。由于储层的总岩石量相对于沉积元素的大小(例如,断层划分)减少了(例如,通过断层划分)通道体),则潜在的连接路径更少。缺乏支撑体会增加连通性的不确定性,并可能会大大降低连通性。沿着通道表面底部的连续泥岩垂布,通道内连续的泥岩床层也可以降低连通性最后,可以通过“补偿”堆积通道沉积物来降低连通性,在这种情况下,通道可以避免与其他通道沉积物合并。还研究了其他因素来解决对连通性的影响,包括建模程序类型,存在页岩充填通道和嵌套层次模型的建立。大多数地层因素可以通过对可用岩心,测井和地震数据进行仔细的地质研究来解决影响油藏连通性的问题。可以通过构建3D地质模型来解决剩余的不确定性。

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