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Challenges of Heavy Oil Fluid Sampling and Characterization

机译:重油流体采样和表征的挑战

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A significant portion of the world's hydrocarbon reserves is found in heavy oil reservoirs. Heavy oils are often found in shallow and highly unconsolidated reservoirs, or sometimes in deep, tight formations. Often the high asphaltic content of these oils results in relatively higher oil density and viscosity; hence, their lower reservoir mobility poses significant challenges to both sampling and PVT data measurements. Furthermore, modeling these fluids for reservoir evaluation requires special techniques to capture their unique phase behavior. The challenges of representative down-hole or surface fluid sample acquisition demand customized sampling methods to deal with: low oil mobility sand production from unconsolidated formations high asphaltene content and resulting high gradients formation of water-in-oil emulsion during co-production of water or gas lift operations or addition of diluents In addition, the prerequisite for laboratory measurement is special sample preparation to remove emulsified water. These high viscosity oils exhibit slower gas liberation below the bubble point and hence delayed gas-phase formation, thus making "true" oil property measurements a challenge. Difficulties associated with fluid modeling include characterizing apparent bubble point behavior, large viscosity changes with pressure and temperature, and asphaltene dropout. In this paper, we present a comprehensive methodology for heavy oil sampling and characterization in unconsolidated sands as well as in low permeability reservoirs. We present field examples to highlight the challenges and illustrate the methodology for fluid sampling, down-hole fluid analysis, laboratory PVT data acquisition, and modeling. Sampling methods for heavy and asphaltic oils were custom designed with special tools and sensors to obtain representative samples and precise down-hole fluid analysis data. New laboratory techniques were developed to prepare the samples for analysis and to distinguish between the "true" and "apparent" bubble point behavior exhibited by the heavy oil due to its non-equilibrium behavior. Fluid models based on a special equations of state (EoS) were employed for accurate description of heavy oil fluid phase behavior. In particular, we successfully applied the industry's first EoS for asphaltene gradients in heavy oil reservoirs that match down-hole fluid data.
机译:在重油箱中发现了世界上一部分的碳氢化合物储量。浅油通常在浅层和高度未溶胀的储层中找到,或有时深入紧密的地层。这些油的高沥青含量通常导致更高的油密度和粘度;因此,它们的较低的储层移动性对取样和PVT数据测量构成了重大挑战。此外,为储层评估建模这些流体需要特殊的技术来捕获其独特的相位行为。代表性井下或地表液采集采集需求的挑战需要定制采样方法来处理:从未核化地层的低油迁移型砂产生高沥青质含量,并在水的共同生产过程中形成高梯度形成水包油乳液或燃气升力操作或添加稀释剂此外,实验室测量的先决条件是特殊的样品制备,以除去乳化水。这些高粘度油在泡点下方表现出较慢的气体释放,因此延迟气相形成,从而使“真实”的油性能测量挑战。与流体建模相关的困难包括表现表观泡点行为,随着压力和温度而大的粘度变化,以及沥青质辍学。在本文中,我们提出了一种综合方法,用于在未溶解的沙子以及低渗透水库中的重油采样和表征。我们存在现场示例以突出挑战,并说明流体采样,下孔流体分析,实验室PVT数据采集和建模的方法。重型和沥青油的采样方法是用特殊工具和传感器进行定制的,以获得代表性样品和精确的下孔流体分析数据。开发了新的实验室技术,以制备用于分析的样品,并区分由于其非平衡行为而呈现的重油所表现出的“真实”和“明显的”泡沫点行为。基于状态特殊方程式(EOS)的流体模型用于大型油状物相行为的准确描述。特别是,我们成功地将行业的第一EOS用于匹配井下液体数据的重油储层中的沥青质梯度。

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