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Slug Induced Vibrations Modelling 段塞流诱发振动模型
Pub Date : 2019-04-26 DOI: 10.4043/29306-MS
Kevin Le Prin, M. Mínguez, A. Liné
In this paper, the authors present an alternative methodology to improve (or at least to reduce) the uncertainty level within the prediction of the life time of subsea structures. The focus is made on rigid spool & jumper (or any piping system) prone to internal intermittent multiphase flow (currently named slug flow) and any potential Flow-Induced Vibrations (FIV) phenomenon. As it will be more exhaustively detailed here below, the proposed modelling aims at recovering at the best both (i) the multiphase flow kinematics (i.e. both gas pocket & liquid slug) to be expected in the flow loop and (ii) the resulting loads seen by the structure. The considered multiphase flow solver is based on the well-known Unit Cell Model (UCM, refer to Nicklin et al. (1962), Wallis (1969)) and coupled with usual commercial Finite Element (FE) solvers to recover the expected vibratory levels within the mechanical system. With rigorous purpose, a step-by-step validation process is presented within this paper to progressively validate the different step changes in regard to the current Best Practices (as e.g. reminded by Payne (2015) or Ancian (2016)). Both Computational Fluid Dynamics (CFD) model and experimental database, as extracted from the literature, have been considered to assess the ability of the proposed methodology to recover the expected multiphase flow kinematics and the loads induced by a Taylor bubble flowing within a rigid spool. Once validated, the multiphase flow solver has been coupled to a Finite Element (FE) model to properly assess the Flow-Induced Vibrations (FIV) of the spool resulting from such intermittent slugging solicitations. As here below underlined, the presented comparisons with the Industry Standards suggest (i) the need to challenge the recommended practices to ensure safe and reliable design and (ii) to properly manage the safety Design Fatigue Factor (DFF) to be considered within engineering phases.
在本文中,作者提出了一种替代方法来改善(或至少减少)海底结构寿命预测中的不确定性水平。重点是刚性阀芯和跳线(或任何管道系统)容易产生内部间歇多相流(目前称为段塞流)和任何潜在的流致振动(FIV)现象。正如下面将更详尽地详细说明的那样,所提出的建模旨在尽可能地恢复(i)流动回路中预期的多相流动运动学(即气穴和液段塞)和(ii)结构所看到的结果载荷。所考虑的多相流求解器基于众所周知的单元胞模型(UCM,参考Nicklin等人(1962),Wallis(1969)),并与通常的商业有限元(FE)求解器相结合,以恢复机械系统内的预期振动水平。出于严格的目的,本文提出了一个逐步验证过程,以逐步验证当前最佳实践的不同步骤变化(例如,Payne(2015)或Ancian(2016)提醒)。从文献中提取的计算流体动力学(CFD)模型和实验数据库已被考虑用于评估所提出的方法恢复预期的多相流运动学和由刚性阀芯内流动的Taylor气泡引起的载荷的能力。一旦验证,多相流求解器将与有限元(FE)模型耦合,以正确评估由这种间歇性段塞请求引起的阀芯的流致振动(FIV)。正如下面所强调的,与行业标准的比较表明(i)需要挑战推荐的做法,以确保安全可靠的设计;(ii)在工程阶段适当管理安全设计疲劳系数(DFF)。
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引用次数: 0
Innovation and Practice of Geological Modeling Techniques in Complex Clastic Reservoir of Bohai Bay Offshore Oilfield 渤海湾海上油田复杂碎屑岩储层地质建模技术创新与实践
Pub Date : 2019-04-26 DOI: 10.4043/29447-MS
Xiaoming Ye, Chunliang Huo, Pengfei Wang, Zhennan Gao, Jing Xu, Y. Mao, Xinlei Shi
Bohai oilfield located at Bohai Bay of China mainly consists of complex clastic reservoirs. Reservoir prediction is difficult especially in the deep depth oilfields because of low seismic resolution. In addition, how to quantitatively characterize the risk of new oilfield development and how to build a more elaborate model in the late period of oilfield development are particularly challenging. This paper developed an innovative workflow for complex clastic reservoir characterization of offshore oilfield. A modeling method based on sedimentary evolution simulation, which can provide modeling constraints, is proposed for deep depth oilfields. Through sedimentary evolution modeling and other information, reservoir and structure uncertainty are analyzed, then reserves scale and reservoir connectivity are evaluated through experimental design, geological modeling and streamline simulation; 3p models are selected lastly. A new method is proposed for building an elaborate model of old oilfield with less grid amounts. The fluid seepage effect caused by some small scale configuration units is characterized by a parameter similar to fault transmissibility multiplier data in numerical simulation model, for there is no actual modeling of the configuration units, so the operation efficiency is greatly improved. BZ3 oilfield is a deep depth delta oilfield. A geological model was established for exploration evaluation well placement, reserves evaluation and development plan research based on sedimentary evolution simulation and quantitative uncertainty evaluation, the reservoir prediction accuracy is greatly improved that is confirmed by new drilled wells. Through quantitative uncertainty evaluation, reliable geological basis was provided for engineering investment, which can avoid the investment waste caused by geological uncertainty. Q32 oilfield is a fluvial oilfield that has come into high watercut (86.7%). How to characterize the lateral accretion interlayer (often less than 1 meter) in model for fine remaining oil distribution prediction is difficult, thus the method mentioned above for old oilfield was used. Firstly, a conventional geological model was established, then the lateral accretion interlayer was extracted as interface from it based on configuration results, then the interface was used to extract the parameter named transmissibility multiplier data in the numerical simulation model; a software has been compiled to perform the whole process. Based on the method, more than 100 adjusting wells were disposed and better production results were obtained. These geological modeling techniques have been widely applied in Bohai Bay offshore oilfields in different periods of oilfield development, including BZ2, JZ2, KL10, CFD6, SZ3, and JZ9. This ensures that these oilfield developed with high quality and efficiency.
渤海油田位于渤海湾,主要为复杂碎屑岩储层。由于地震分辨率低,储层预测十分困难,特别是在深层油田。此外,如何定量表征新油田开发的风险,如何在油田开发后期建立更精细的模型,是一个特别具有挑战性的问题。本文提出了一种创新的海上油田复杂碎屑岩储层表征工作流程。提出了一种基于沉积演化模拟的深层油田建模方法,该方法可以提供建模约束。通过沉积演化建模等信息,分析储层和构造的不确定性,通过实验设计、地质建模和流线模拟评价储量规模和储层连通性;最后选择3p模型。提出了一种用较少网格量建立老油田精细模型的新方法。在数值模拟模型中,由于没有对配置单元进行实际建模,一些小型配置单元引起的流体渗流效应采用了类似于故障传递率乘子数据的参数来表征,从而大大提高了操作效率。BZ3油田是一个深水三角洲油田。在沉积演化模拟和定量不确定度评价的基础上,建立了勘探评价配井、储量评价和开发方案研究的地质模型,储层预测精度大大提高,并通过新钻探的井进行了验证。通过定量的不确定性评价,为工程投资提供可靠的地质依据,避免了地质不确定性造成的投资浪费。Q32油田为河流相油田,已进入高含水(86.7%)期。在精细剩余油分布预测模型中,如何对横向吸积夹层(通常小于1米)进行表征比较困难,因此对老油田采用了上述方法。首先建立常规地质模型,然后根据配置结果提取侧向吸积夹层作为界面,利用该界面提取数值模拟模型中的透射率乘数参数;编写了一个软件来执行整个过程。利用该方法布置了100多口调整井,取得了较好的生产效果。这些地质建模技术在渤海湾海上油田开发的不同时期得到了广泛的应用,包括BZ2、JZ2、KL10、CFD6、SZ3和JZ9。这保证了这些油田的高质量、高效率开发。
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引用次数: 0
The Production-Induced Geomechanical Property Changes during Gas Production from Gas Hydrate Deposits 天然气水合物矿床产气过程中地质力学性质的变化
Pub Date : 2019-01-01 DOI: 10.4043/29476-MS
J. Lee, J. Lee, G. Cho, T. Kwon
Gas hydrates are widespread, occurring in both permafrost and deep sea sediments. The large estimated areas of gas hydrate reservoirs suggest that the high potential of gas hydrates as an energy resource if economically viable production methods were developed. The production of natural gas from gas hydrate deposits poses challenges such as assessing hydrate recovery rates from physical properties and geological structure of the hydrate reservoir, securing the economic viability of produced gas from a particular resource, and keeping process safe from geomechanical impacts from hydrate dissociation. During the hydrate dissociation and the subsequent gas production from dissociated gas hydrate, geomechanical property changes due to the sediment deformation, the changes in hydrate saturations, and fine migrations. In this study, extensive laboratory studies have been conducted to quantify these issues and the implications of these changes to the gas production from gas hydrate deposits have been investigated. Strength, stiffness, permeability changes due to gas hydrate saturations were examined in high-pressure oedometric system and tri-axial system. Fine migrations characteristics and the subsequent property changes were examined with many different experimental systems. The experimental system includes core-flooding system with X-ray CT monitoring, oedometric system, triaxial system, and one-dimensional fine migration experiment system. The sediment used in this study is synthesized gas hydrate-bearing sediments and the mean grain size of the sediments lies in fine sands. Hydrate saturation ranges from 10 to 50%. Fine fraction ranges also from 10 to 50%. Sediment deformation from compressive stress concentration generally increases stiffness and decreases permeability. Hydrate saturation decrease induced from gas hydrate production generally decrease strength and stiffness and increase permeability. The property changes are not linearly related to gas hydrate saturations and the relations differ depending on the character of deposits. Fine migrations induced by gas hydrate production alter fine contents in producing intervals and also would change geomechanical properties. Moving particles generally concentrates near well-bore but the locus of concentration depends on the character of the producing interval, such as grain size distributions and flow rate. Even a small fraction of fine particles can induce significant changes in physical properties. In fine-concentrated zones, stiffness generally increases and permeability generally decreases. The quantifications of these phenomena based on the systematic and extensive experimental studies are the essential steps before the development of THM numerical simulation code for gas hydrate production. For near future the quantitative relations in this study will be implemented to THM simulation code for gas hydrate production.
天然气水合物分布广泛,存在于永久冻土和深海沉积物中。天然气水合物储层的大面积估计表明,如果开发出经济上可行的生产方法,天然气水合物作为一种能源的潜力很大。从天然气水合物矿床中开采天然气带来了诸多挑战,如根据水合物储层的物理性质和地质结构评估水合物的采收率,确保特定资源产出天然气的经济可行性,以及保证开采过程不受水合物分离产生的地质力学影响。在水合物解离和解离天然气水合物随后的产气过程中,由于沉积物变形、水合物饱和度变化和精细运移等因素,地质力学性质发生了变化。在这项研究中,进行了广泛的实验室研究,以量化这些问题,并调查了这些变化对天然气水合物矿床天然气产量的影响。在高压测量系统和三轴测量系统中测试了天然气水合物饱和度对强度、刚度和渗透率的影响。用许多不同的实验系统研究了细迁移特性和随后的性质变化。实验系统包括带x线CT监测的岩心驱替系统、测径系统、三轴系统和一维精细运移实验系统。本研究使用的沉积物为含天然气水合物的合成沉积物,平均粒径为细砂。水合物饱和度从10%到50%不等。细馏分也从10%到50%不等。压应力集中引起的沉积物变形通常会增加刚度,降低渗透性。天然气水合物开采引起的水合物饱和度降低一般会降低强度和刚度,增加渗透率。天然气水合物的性质变化与水合物的饱和度没有线性关系,其关系因矿床性质的不同而不同。天然气水合物开采引起的细颗粒运移改变了产层中的细颗粒含量,也改变了地质力学性质。运动颗粒一般集中在井眼附近,但集中的位置取决于生产层段的特征,如粒度分布和流量。即使一小部分细颗粒也能引起物理性质的显著变化。在细粒集中带,刚度普遍增大,渗透率普遍减小。在系统而广泛的实验研究基础上对这些现象进行量化是开发天然气水合物生产THM数值模拟程序的必要步骤。在不久的将来,本研究中的定量关系将应用于天然气水合物生产的THM模拟程序中。
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引用次数: 0
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