首页> 外文会议>Society of Petroleum Engineers 14th Middle East oil amp; gas show and conference (MEOS 2005) >The Fracture Characterization and Fracture Modeling of a Tight Carbonate Reservoir:The Najmah Sargelu of West Kuwait
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The Fracture Characterization and Fracture Modeling of a Tight Carbonate Reservoir:The Najmah Sargelu of West Kuwait

机译:致密碳酸盐岩储层的断裂特征与断裂建模:西科威特的纳吉玛·萨格鲁

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This paper presents an innovative and promising, multidisciplinernintegrated approach that includes geology (BHI,rncores, wireline logs), geophysics (seismic facies analysis), andrnreservoir engineering data (production data, PLT, welltest)rnthat were combined to identify the main types of fractures, tornpredict their occurrence in the reservoir and to determine thernhydraulic properties of the different fractures setsrnThe Najmah – Sargelu of West Kuwait is an oil bearingrnreservoir made of tight carbonates where porosity andrnpermeability is mainly provided by the fracture network. Inrnthis paper, we will first introduce the method used to identifyrnand predict the two main scales of fractures: joints and largescalernfractures (faults and fracture swarms). The shale contentrn(Vshale) and mechanical beds thickness were found to be therntwo main geological drivers on joints occurrence. Thickness ofrnindividual beds were recorded from BHI acoustic imagesrnwhich enabled to measure an S/T ratio (fracture spacing to bedrnthickness) for each fracture set and for different shalyness.rnSecondly, we used an innovative solution to deliver anrnaccurate map of large-scale fractures location. This approachrnuses concurrently a set of selected fracture relevant attributesrnin a multi-variable statistical process called Seismic FaciesrnAnalysis (SFA).rnA 3D stochastic fracture model was then generatedrnincorporating the two scales of fractures and constrained byrnthe reservoir shalyness, the S/T ratio and the seismic faciesrnmap. The calibration of the hydraulic properties of thernfractures was achieved through the second innovationrnpresented in this paper: the simulation of a synthetic well testrnusing the 3D fracture model and matched with the real data.rnThis resulted in the calibration of the hydraulic fracturesrnconductivity for each fracture type. These values wererncombined with the 3D stochastic fracture model to produce 3Drnfracture properties models (porosity, permeabilities and blockrnsize) for the Najmah – Sargelu of West Kuwait.
机译:本文提出了一种创新的,有前途的,多学科的综合方法,包括地质(BHI,岩心,电缆测井),地球物理(地震相分析)和储层工程数据(生产数据,PLT,最完井),这些方法可以识别出裂缝的主要类型。 ,预测它们在储层中的存在,并确定不同裂缝组的水力性质。西科威特的纳吉玛–萨尔格鲁是由致密碳酸盐岩制成的含油储层,其孔隙度和渗透率主要由裂缝网络提供。在本文中,我们将首先介绍用于识别和预测裂缝的两个主要尺度的方法:关节和大尺度裂缝(断层和裂缝群)。发现页岩含量(Vshale)和机械层厚度是节理发生的两个主要地质驱动力。通过BHI声像记录单个床层的厚度,从而可以测量每个裂缝组和不同泥质度的S / T比(裂缝间距与床层厚度)。其次,我们使用一种创新的解决方案来提供大型裂缝位置的准确地图。该方法在称为地震相分析(SFA)的多变量统计过程中同时使用了一组选定的与裂缝相关的属性。然后生成了3D随机裂缝模型,该模型结合了两个裂缝尺度并受储层泥质,S / T比和地震的约束相图。裂缝的水力特性的校准是通过本文提出的第二项创新实现的:使用3D裂缝模型模拟合成油井测试并与实际数据相匹配。这导致对每种裂缝类型的水力裂缝的电导率进行校准。将这些值与3D随机裂缝模型相结合,以生成西科威特Najmah – Sargelu的3Drn骨折特性模型(孔隙度,渗透率和块体尺寸)。

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