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Implementation of a New Proprietary Vortex Fluid Sucker Rod Pump System to Improve Production by Enhancing Flow Dynamics 采用一种新型旋涡流体抽油杆泵系统,通过增强流体动力学来提高产量
4区 工程技术 Q2 Energy Pub Date : 2023-05-22 DOI: 10.2118/206908-pa
Corbin Coyes, Benny Williams, Camille Jensen, Mike Conner, Bradley Link, Jeff Saponja, Jordy Quinn
Summary Conventional ball valve systems and insert-guided cages compromise performance due to gas interference, solids accumulation, and ball vibration that shortens the life and efficiency of conventional traveling and standing valve cages. The analysis of the flow profile around a common ball valve resulted in the design of a new proprietary pump system that maximizes fluid flow, creating a vortex profile that extends service life while increasing production. The proprietary vortex fluid pump system was compared against conventional inserts during in-house testing and in a laboratory flow loop. Minimum to maximum flow rates were digitally measured to calculate the pressure drop at each flow rate with and without injecting gas. The transparent flow loop tubing allowed a visual qualitative assessment of fluid flow. During laboratory testing, conventional inserts measured high ball vibration with excessive pressure drop. The proprietary vortex fluid pump system had no ball vibration, with a significant pressure drop decrease, and gas remained entrained as it cycled through a vortex flow. The results from laboratory testing showed an average 40–46% pressure drop decrease compared to conventional inserts. Laboratory data were confirmed in numerous field applications as well as four case studies from four different fields for four separate operators. The vortex fluid pump system showed greater pump efficiencies and pump longevity. After installation of the system, cumulative results were combined to show an average 46% production increase over 485 wells in North America in 1 year. The proprietary vortex fluid pump system decreases erratic velocity profile and reduces vibration in the valve system resulting in improved efficiency and reliability of sucker rod pumps. The design optimizes flow dynamics enabling the ball to remain stationary, allowing smaller and lighter balls and increasing the cross-sectional flow area in the most restrictive pump section. The design reduces solids accumulation, lessens cage wear, improves pump efficiency, and increases production. The vortex fluid pump system replaces all conventional valve systems.
传统的球阀系统和插入式导向保持架由于气体干扰、固体积累和球振动而降低了性能,从而缩短了传统的移动和站立式阀保持架的使用寿命和效率。通过对普通球阀周围流动曲线的分析,设计出了一种新的专有泵系统,该系统可以最大限度地提高流体流量,形成涡流,延长使用寿命,同时提高产量。在内部测试和实验室流动回路中,将专有的旋涡流体泵系统与传统的刀片进行了比较。通过数字测量最小到最大流量,以计算在注入气体和不注入气体时每种流量下的压降。透明流动环管允许对流体流动进行视觉定性评估。在实验室测试中,常规镶齿测量到球的高振动和过大的压降。专有的涡旋流体泵系统没有球振动,压降显著降低,气体在涡旋流动中循环时仍被夹带。实验室测试结果显示,与传统镶齿相比,平均压降降低了40-46%。实验室数据在众多现场应用中得到了验证,并在4个不同油田进行了4个案例研究。旋涡流体泵系统显示出更高的泵效率和泵寿命。安装该系统后,累计结果表明,在北美的485口井中,1年内产量平均增加了46%。专有的旋涡流体泵系统减少了不稳定的速度分布,减少了阀系统的振动,从而提高了有杆泵的效率和可靠性。该设计优化了流体动力学,使球保持静止,使球更小、更轻,并增加了最受限制的泵段的横截面流面积。该设计减少了固体堆积,减少了保持架磨损,提高了泵效率,增加了产量。旋涡流体泵系统取代了所有传统的阀门系统。
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引用次数: 0
Geomechanical Modeling of Fracture-Induced Vertical Strain Measured by Distributed Fiber-Optic Strain Sensing 分布式光纤应变传感测量裂缝垂直应变的地质力学建模
4区 工程技术 Q2 Energy Pub Date : 2023-04-28 DOI: 10.2118/214690-pa
Aishwarya Srinivasan, Yongzan Liu, Kan Wu, Ge Jin, George Moridis
Summary Distributed acoustic sensing (DAS) has recently gained importance in monitoring hydraulic fracturing treatments in the oil and gas industry. DAS data contain critical information about the fracture geometry as linearly relatable induced strain variations during the stimulation. The low-frequency components of the DAS (LF-DAS) data are known for their complexity as they exhibit various characteristic signals—caused by several mechanisms—that complicate their interpretation. LF-DAS data from horizontal monitoring wells (HMWs) have been used to detect fracture hits and characterize fracture geometry. However, the LF-DAS data from vertical monitoring wells (VMWs) have not been studied extensively as a means to infer fracture geometry. The major limitation of VMWs is the number of monitored stages, but the data contain more information about fracture height compared with LF-DAS measurements from HMWs. Hence, it is necessary to have a physical rock deformation model to simulate the strain rate responses in offset VMWs during fracture propagation to understand and interpret the various patterns that are observed in the field data sets. The objective of this study is to simulate strain rate signals in VMWs during hydraulic fracturing and to analyze the measurements to obtain information on the fracture geometry, especially the fracture height. The fracture boundary can be directly related to the strain rate signals. In this study, we propose a workflow to determine fracture height at different fiber-to-fracture (dff) distances for fracture heights ranging from 20 m to 300 m. We conduct a detailed sensitivity analysis to understand the impacts of the dff, the perforation location, the fracture passing time, and the well inclinations on the measured strain rate signals. The analysis helps interpret the various patterns observed in field data and the underlying mechanisms. Interpretation of field data from the Hydraulic Fracture Testing Site 2 (HFTS-2) using the results from our forward physical model provides valuable information on the fracture characteristics that can be captured by the physical model. The results of this study are expected to provide better interpretations of LF-DAS signals from VMWs.
分布式声传感技术(DAS)在油气行业的水力压裂监测中发挥了重要作用。DAS数据包含有关裂缝几何形状的关键信息,即增产过程中线性相关的诱发应变变化。DAS (LF-DAS)数据的低频成分以其复杂性而闻名,因为它们表现出由几种机制引起的各种特征信号,使其解释复杂化。来自水平监测井(HMWs)的LF-DAS数据已被用于检测裂缝命中并表征裂缝几何形状。然而,垂直监测井(VMWs)的LF-DAS数据尚未被广泛研究作为推断裂缝几何形状的手段。VMWs的主要限制是监测级的数量,但与HMWs的LF-DAS测量数据相比,这些数据包含了更多关于裂缝高度的信息。因此,有必要建立一个物理岩石变形模型来模拟偏置VMWs在裂缝扩展过程中的应变率响应,以理解和解释在现场数据集中观察到的各种模式。本研究的目的是模拟水力压裂过程中vmw中的应变速率信号,并分析测量结果,以获得裂缝几何形状,特别是裂缝高度的信息。断裂边界与应变速率信号直接相关。在这项研究中,我们提出了一种工作流程,可以在裂缝高度从20米到300米的不同纤维到裂缝(dff)距离上确定裂缝高度。我们进行了详细的灵敏度分析,以了解dff、射孔位置、裂缝通过时间和井斜对测量应变率信号的影响。该分析有助于解释在现场数据中观察到的各种模式和潜在机制。利用我们的正向物理模型的结果,对来自水力裂缝试验场2 (HFTS-2)的现场数据进行解释,可以提供有关裂缝特征的宝贵信息,这些信息可以通过物理模型捕获。本研究的结果有望为来自VMWs的LF-DAS信号提供更好的解释。
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引用次数: 0
Kaolinite Effects on Injectivity Impairment: Field Evidence and Laboratory Results 高岭石对注入性损害的影响:现场证据和实验室结果
4区 工程技术 Q2 Energy Pub Date : 2023-04-05 DOI: 10.2118/210432-pa
S. Renna, L. M. F. Sabatino, A. Viareggio, L. Rossi, M. Colombo, S. Parisi
Summary Clay interaction with fluids is a well-known phenomenon that depends on formation mineralogy. This paper focuses on the impact of kaolinite clay dispersion on well injectivity impairment. It is based on field evidence from more than 50 injectors, and it is supported by a huge set of laboratory tests. All analyzed wells showed an initial injectivity lower than the theoretical potential, estimated on the basis of reservoir quality and drawdown mobilities (DDMs). This impairment occurs before connecting wells to the injection network; therefore, injected water quality and network conditions do not take part in the damage. Consequently, the impairment mechanism seems to be correlated to the interaction between the formation and drilling fluids. A set of laboratory experiments was planned on cuttings collected in two recently drilled wells. Different intervals were selected in the reservoir sandstones, representative of the facies where injected water is most likely to flow. Samples were first mineralogically characterized by different laboratory techniques: Fourier-transform infrared (FT-IR) spectroscopy, X-ray diffraction, and cation exchange capacity. Then, swelling and recovery tests were performed using different fluids: mud (field formulation), mud filtrate, and water (varying pH and salinity). Results were correlated with petrophysical analysis, mercury injection tests on cores, and major injectivity impairments observed on the analyzed wells. Analyzed samples showed the presence of kaolinite that may affect the formation permeability by filling porosity and pore throats (diagenetic effect). Moreover, in case of interaction with fluids, kaolinite can lead to an additional permeability reduction by disaggregation and dispersion phenomena. Laboratory tests showed a clear trend: The higher the kaolinite content is in the selected intervals, the higher the observed disaggregation will be, especially when the samples interact with mud filtrate and water. It was observed that mud formulation is effective, allowing to preserve disaggregation, but only below a threshold of kaolinite content. Field experience proved that the only effective remedial actions to restore the well injectivity potential are fracturing jobs, allowing bypass of the near-wellbore damaged zone.
粘土与流体的相互作用是一种众所周知的现象,取决于地层矿物学。本文重点研究了高岭石粘土分散性对井注入能力的影响。它基于来自50多个注射者的现场证据,并得到了大量实验室测试的支持。所有分析井的初始注入能力都低于理论潜力,这是根据储层质量和压降流动性(DDMs)估计的。这种损伤发生在将井连接到注入网络之前;因此,注水水质和管网条件不参与破坏。因此,损伤机制似乎与地层和钻井液之间的相互作用有关。计划对最近钻探的两口井收集的岩屑进行一组实验室实验。在储层砂岩中选择了不同的层段,代表了注入水最有可能流动的相。样品首先通过不同的实验室技术进行矿物学表征:傅里叶变换红外(FT-IR)光谱,x射线衍射和阳离子交换容量。然后,使用不同的流体进行膨胀和恢复测试:泥浆(现场配方)、泥浆滤液和水(不同的pH和盐度)。结果与岩石物理分析、岩心压汞测试以及分析井中观察到的主要注入能力损害相关联。分析样品显示高岭石的存在可能通过充填孔隙和孔喉影响地层渗透率(成岩作用)。此外,在与流体相互作用的情况下,高岭石可以通过分解和分散现象导致额外的渗透率降低。实验室测试结果显示出一个明显的趋势:在选定的区间内,高岭石含量越高,观察到的崩解程度越高,特别是当样品与泥浆滤液和水相互作用时。观察到泥浆配方是有效的,允许保持分解,但仅低于高岭石含量的阈值。现场经验证明,恢复油井注入能力的唯一有效补救措施是压裂作业,绕过近井受损区域。
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引用次数: 0
Dimensionless Artificial Intelligence-Based Model for Multiphase Flow Pattern Recognition in Horizontal Pipe 基于无量纲人工智能的水平管道多相流型识别模型
IF 1.2 4区 工程技术 Q2 Energy Pub Date : 2022-02-01 DOI: 10.2118/209198-pa
Ala AL-Dogail, R. Gajbhiye, Abdullatif Alnajim, Mustafa Alnaser
Multiphase flow analysis attracts a lot of attention from researchers from diverse disciplines. There are several studies including experimental, theoretical modeling, and numerical analysis that were carried out to investigate the multiphase flow. However, many facets of multiphase flow are still unresolved owing to the extremely complex nature of the multiphase flow. The complex interactions of the different phases are leading to different flow regimes that are difficult to predict but essential for developing the computational model. The identification of the flow pattern is still a challenging task. One of the growing fields is the machine learning approach, which can address such complex problems. This study aims to use machine learning to develop models that can identify the flow patterns in multiphase flow. To achieve the objective, a large set of experimental data was collected. The effect of fluid properties, such as density, viscosity, and surface tension, on the flow pattern was introduced by changing the fluid properties. The wide range of data was processed by applying a machine learning technique for predicting the flow regimes. The models were built using dimensionless parameters to extend their validity for various design and operational conditions. This approach enables to capture the main flow pattern as well as subcategories of flow patterns in the horizontal pipe. Comparison and analyses of the different machine learning tools were carried out to investigate classification of multiphase flow patterns. The results showed that different artificial intelligence (AI) methods can predict the flow pattern in horizontal pipes with high accuracy. The results of using Reynold’s number for liquid (ReL) and gas (ReG) as an input to predict the flow patterns are deficient in accuracy for the support vector machine (SVM) and discriminant analysis (DA). However, the prediction capability of the model was improved by introducing Weber’s number for liquid (WeL) and gas (WeG) along with the Reynolds numbers (ReL and ReG). The improvement in the flow pattern prediction owing to the introduction of Weber’s number is speculated because of the capturing hydrodynamic phenomenon (inertia and surface tension) owing to change in fluid properties. It infers that capturing hydrodynamic phenomena affecting the flow pattern and their transition is essential for the prediction of flow patterns in multiphase flow.
多相流分析引起了各学科研究者的广泛关注。为了研究多相流,进行了包括实验、理论建模和数值分析在内的多项研究。然而,由于多相流极其复杂的性质,多相流的许多方面仍未解决。不同相的复杂相互作用导致了不同的流态,这些流态很难预测,但对开发计算模型至关重要。识别流动模式仍然是一项具有挑战性的任务。其中一个不断发展的领域是机器学习方法,它可以解决如此复杂的问题。本研究旨在使用机器学习开发能够识别多相流中流型的模型。为了实现这一目标,收集了大量的实验数据。通过改变流体性质,介绍了密度、粘度和表面张力等流体性质对流型的影响。通过应用机器学习技术来预测流态,对广泛的数据进行了处理。使用无量纲参数建立模型,以扩展其在各种设计和操作条件下的有效性。这种方法能够捕获水平管道中的主流模式以及流模式的子类别。对不同的机器学习工具进行了比较和分析,以研究多相流模式的分类。结果表明,不同的人工智能方法可以高精度地预测水平管道中的流型。使用液体雷诺数(ReL)和气体雷诺数(ReG)作为输入来预测流型的结果在支持向量机(SVM)和判别分析(DA)的准确性方面不足。然而,通过引入液体(WeL)和气体(WeG)的韦伯数以及雷诺数(ReL和ReG),提高了模型的预测能力。由于流体性质的变化,捕捉到了流体动力学现象(惯性和表面张力),因此推测由于引入韦伯数而导致的流型预测的改进。它推断,捕捉影响流型及其转变的流体动力学现象对于预测多相流中的流型至关重要。
{"title":"Dimensionless Artificial Intelligence-Based Model for Multiphase Flow Pattern Recognition in Horizontal Pipe","authors":"Ala AL-Dogail, R. Gajbhiye, Abdullatif Alnajim, Mustafa Alnaser","doi":"10.2118/209198-pa","DOIUrl":"https://doi.org/10.2118/209198-pa","url":null,"abstract":"\u0000 Multiphase flow analysis attracts a lot of attention from researchers from diverse disciplines. There are several studies including experimental, theoretical modeling, and numerical analysis that were carried out to investigate the multiphase flow. However, many facets of multiphase flow are still unresolved owing to the extremely complex nature of the multiphase flow. The complex interactions of the different phases are leading to different flow regimes that are difficult to predict but essential for developing the computational model. The identification of the flow pattern is still a challenging task. One of the growing fields is the machine learning approach, which can address such complex problems. This study aims to use machine learning to develop models that can identify the flow patterns in multiphase flow.\u0000 To achieve the objective, a large set of experimental data was collected. The effect of fluid properties, such as density, viscosity, and surface tension, on the flow pattern was introduced by changing the fluid properties. The wide range of data was processed by applying a machine learning technique for predicting the flow regimes. The models were built using dimensionless parameters to extend their validity for various design and operational conditions. This approach enables to capture the main flow pattern as well as subcategories of flow patterns in the horizontal pipe. Comparison and analyses of the different machine learning tools were carried out to investigate classification of multiphase flow patterns.\u0000 The results showed that different artificial intelligence (AI) methods can predict the flow pattern in horizontal pipes with high accuracy. The results of using Reynold’s number for liquid (ReL) and gas (ReG) as an input to predict the flow patterns are deficient in accuracy for the support vector machine (SVM) and discriminant analysis (DA). However, the prediction capability of the model was improved by introducing Weber’s number for liquid (WeL) and gas (WeG) along with the Reynolds numbers (ReL and ReG). The improvement in the flow pattern prediction owing to the introduction of Weber’s number is speculated because of the capturing hydrodynamic phenomenon (inertia and surface tension) owing to change in fluid properties. It infers that capturing hydrodynamic phenomena affecting the flow pattern and their transition is essential for the prediction of flow patterns in multiphase flow.","PeriodicalId":22071,"journal":{"name":"Spe Production & Operations","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43922027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Emulsification Characteristics and Electrolyte-Optimized Demulsification of Produced Liquid from Polymer Flooding on Alaska North Slope 阿拉斯加北坡聚合物驱采出液的乳化特性及电解质优化破乳
IF 1.2 4区 工程技术 Q2 Energy Pub Date : 2022-02-01 DOI: 10.2118/209213-pa
Hongli Chang, Yin Zhang, A. Dandekar, S. Ning, J. Barnes, W. Schulpen
The first-ever polymer flooding pilot test is currently implemented in heavy oil reservoirs on Alaska North Slope (ANS). One of the major concerns of field engineers is the impact of polymer on oil/water separation after polymer breakthrough. This paper aims to predict the influence of polymer on emulsification characteristics of produced liquid and seek a cost-effective method to treat the produced liquid from polymer flooding. In this study, emulsions, at moderate and vigorous shearing conditions, were prepared by mechanically mixing 25 vol% of the ANS heavy oil with 75 vol% of the polymer solution. Bottle test method, microscope, and pendant drop technique were utilized to investigate the effect of polymer on emulsification characteristics in terms of separation behavior, drop size distribution (DSD), and interfacial properties [i.e., interfacial tension (IFT) and interfacial dilational rheology], respectively. As for chemical demulsification, the performance and interfacial behavior of four commercial demulsifiers and an inorganic salt, that is, potassium chloride (KCl), was measured using simulated produced liquid. The bottle test results demonstrated that polymer could enhance the emulsion stability, resulting in a slower separation rate, poorer water quality, and greater thickness of the intermediate layer. The pendant drop measurements showed that the IFT and interfacial dilational rheology were independent of polymer concentration. Thus, the stabilization effect of the polymer was mainly attributed to the increased viscosity of the continuous phase and the decreased drop size of the dispersed oil phase. As for the chemical demulsification tests, compound demulsifier E12 + E18 exhibited the best demulsification performance as well as the lowest IFT and interfacial elastic modulus. Nevertheless, a multifold dosage of E12 + E18 was required to demulsify the emulsion under vigorous mixing, leading to a potential increase in the chemical cost. A less expensive electrolyte, KCl, was able to work synergistically with demulsifier E12 + E18 to promote oil/water separation and reduce the demulsifier usage. In this proposed demulsifier formula, the mechanism for the effectiveness of the commercial demulsifier was its destructive effect on the interfacial film, while the effectiveness of KCl was mainly dependent on its viscosity reduction effect on the continuous phase. This study illustrates the intermediate layer elimination, and the water quality is the major challenge for produced liquid from polymer flooding and provides both practical and theoretical guidance in advance for the corresponding demulsification strategy of the produced liquid from the ongoing first-ever polymer flooding pilot on ANS.
首次聚合物驱先导试验目前正在阿拉斯加北坡(ANS)的稠油油藏中进行。油田工程师主要关注的问题之一是聚合物突破后聚合物对油水分离的影响。本文旨在预测聚合物对采出液乳化特性的影响,寻求一种经济高效的聚合物驱采出液处理方法。在本研究中,通过将25体积%的ANS重油与75体积%的聚合物溶液机械混合,在中等和剧烈剪切条件下制备乳液。分别从分离行为、液滴尺寸分布(DSD)和界面性质(即界面张力(IFT)和界面膨胀流变学)方面,利用瓶试验法、显微镜和悬滴技术研究了聚合物对乳化特性的影响。在化学破乳方面,用模拟采出液测定了四种市售破乳剂与一种无机盐氯化钾(KCl)的性能和界面行为。瓶子试验结果表明,聚合物可以提高乳液的稳定性,导致分离速度较慢,水质较差,中间层厚度较大。悬滴测量表明,界面张力和界面膨胀流变学与聚合物浓度无关。因此,聚合物的稳定作用主要归因于连续相的粘度增加和分散油相的液滴尺寸减小。在化学破乳试验中,复合破乳剂E12+E18的破乳性能最好,IFT和界面弹性模量最低。然而,在剧烈混合下需要E12+E18的倍数剂量来破乳乳液,导致化学成本的潜在增加。较便宜的电解质KCl能够与破乳剂E12+E18协同作用,促进油/水分离并减少破乳剂的使用。在该破乳剂配方中,商业破乳剂的有效性机理是其对界面膜的破坏作用,而KCl的有效性主要取决于其对连续相的降粘作用。这项研究说明了中间层的消除,水质是聚合物驱采出液面临的主要挑战,并为正在进行的ANS首次聚合物驱试验采出液的相应破乳策略提供了实践和理论指导。
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引用次数: 3
Numerical Study on Particle Transport and Placement Behaviors of Ultralow Density Particles in Fracture-Vuggy Reservoirs 裂缝性Vuggy油藏中超低密度颗粒输运和分布特性的数值研究
IF 1.2 4区 工程技术 Q2 Energy Pub Date : 2022-02-01 DOI: 10.2118/209193-pa
Tao Zhang, Haoran Gou, Kefan Mu, Jianchun Guo, Ruoyu Yang, Ming Li
A solid/liquid two-phase flow numerical model based on the computational fluid dynamics-discrete element method (CFD-DEM) model was established to study the transport and settlement law of ultralow-density (ULD) particles during the waterdrive channel adjustment of the Tahe carbonate fractured-vuggy reservoir. The mass, momentum, and turbulence equations of the fluid phase were established in Euler coordinates, whereas the particle motion equations were established based on Newton’s second law. The interaction between the ULD particles was described using a soft sphere model, and the water and particle phases were bidirectionally coupled. Meanwhile, virtual experiments were conducted to calibrate the contact parameters of the particles, and parallel plate experiments were performed to validate the model. Using numerical simulations of particle transport behavior in fractures, the process and characteristics of particle transport and placement in fractures are demonstrated, which can be described by the settlement profile angle and equilibrium gap height. According to parameterized simulations, the change law of the settlement profile angle and equilibrium gap height with different parameters such as particle size, pump displacement, and fracture width are demonstrated, which is helpful for the prediction of migration and accumulation of ULD particles in fracture-vuggy reservoirs.
基于计算流体力学离散元法(CFD-DEM)模型,建立了一个固液两相流数值模型,研究了塔河碳酸盐岩缝洞油藏水驱通道调整过程中超低密度(ULD)颗粒的输送和沉降规律。流体相的质量、动量和湍流方程是在欧拉坐标系下建立的,而粒子运动方程是基于牛顿第二定律建立的。使用软球模型描述ULD颗粒之间的相互作用,水相和颗粒相是双向耦合的。同时,进行了虚拟实验来校准颗粒的接触参数,并进行了平行板实验来验证模型。通过对裂缝中颗粒传输行为的数值模拟,展示了颗粒在裂缝中传输和放置的过程和特征,可以用沉降剖面角和平衡间隙高度来描述。通过参数化模拟,揭示了沉降剖面角和平衡间隙高度在粒径、泵排量和裂缝宽度等不同参数下的变化规律,有助于预测缝洞储层中ULD颗粒的迁移和聚集。
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引用次数: 0
Experimental Test Setup for Deoiling Hydrocyclones Using Conventional Pressure Drop Ratio Control 常规压降比控制水力旋流器脱油试验装置
IF 1.2 4区 工程技术 Q2 Energy Pub Date : 2022-01-01 DOI: 10.2118/208608-pa
M. Vallabhan K. G., M. Dudek, C. Holden
Produced water is a major challenge in the oil and gas industry, especially with the aging of oil fields. Proper treatment of produced water is important in reducing the environmental footprint of oil and gas production. On offshore platforms, hydrocyclones are commonly used for produced-water treatment. However, maintaining the efficiency of hydrocyclones subjected to plant disturbances is a difficult task owing to their compact nature. This paper describes a new experimental test rig built at the Department of Mechanical and Industrial Engineering at the Norwegian University of Science and Technology for testing industrial-scale hydrocyclones. The test setup can emulate first-stage separation and create plant disturbances, such as changes in flow rate, oil concentration, and oil droplet distribution at the inlet of the hydrocyclones. Also, the setup is capable of testing different control algorithms, which helps to maintain the efficiency of hydrocyclones in the presence of such disturbances. The test rig is equipped with various instruments that can monitor such parameters as pressure, flow, temperature, and oil concentration. A typical pressure drop ratio (PDR) control scheme for hydrocyclones is tested in the test rig, which can control the disturbances in the inflow rate. The PDR control scheme does not detect disturbances in the inlet oil concentration and changes in droplet distribution, and these scenarios are shown experimentally in this paper.
采出水是油气行业面临的主要挑战,尤其是随着油田的老化。采出水的适当处理对于减少油气生产的环境足迹非常重要。在海上平台上,水力旋流器通常用于采出水处理。然而,由于水力旋流器结构紧凑,在植物扰动下保持其效率是一项艰巨的任务。本文介绍了挪威科技大学机械与工业工程系为测试工业规模的水力旋流器而建造的一个新的实验试验台。试验装置可以模拟第一阶段的分离,并产生植物干扰,如流量、油浓度和油滴分布在水力旋流器入口处的变化。此外,该装置能够测试不同的控制算法,这有助于在存在此类干扰的情况下保持水力旋流器的效率。该试验台配备了各种仪器,可以监测压力、流量、温度、油浓度等参数。在试验台上对一种典型的水力旋流器压降比控制方案进行了试验,该方案能够有效地控制流入流量的扰动。PDR控制方案没有检测到进口油浓度的扰动和液滴分布的变化,这些情况在实验中得到了证明。
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引用次数: 2
Laboratory Investigation of Impact of Slickwater Composition on Multiphase Permeability Evolution in Tight Sandstones 裂隙水组成对致密砂岩多相渗透率演化影响的室内研究
IF 1.2 4区 工程技术 Q2 Energy Pub Date : 2021-12-01 DOI: 10.2118/180250-pa
K. Abaa, J. Wang, D. Elsworth, M. Ityokumbul
Fracturing fluid filtrate that leaks off during injection is imbibed by strong capillary forces present in low-permeability sandstones and may severely reduce the effective gas permeability during cleanup and post-fracture production. This work aims to investigate the role fracturing fluid filtrate from slickwater has on rock-fluid and fluid-fluid interactions and to quantify the resulting multiphase permeability evolution during imbibition and drainage of the filtrate by means of specialized core laboratory techniques. Three suites of experiments were conducted. In the first suite of experiments, a fluid leakoff test was conducted on selected core samples to determine the extent of polymer invasion and leakoff characteristics. In the second suite, multigas relative permeability measurements were conducted on sandstone plugs saturated with fracturing fluid filtrate. A combination of controlled fluid evaporation and pulse decay permeability technique was used to measure liquid and gas effective permeabilities for both drainage and imbibition cycles. These experiments aim to capture dynamic permeability evolution during invasion and cleanup of fracturing fluid (slickwater). The final suite of experiments consists of adsorption flow tests to investigate, identify, and quantify possible mechanisms for adsorption of the polymeric molecules of friction reducers present in the fluid filtrate to the pore walls of the rock sample. Imbibition tests and observations of contact angles were conducted to validate possible wettability changes. Results from multiphase permeability flow tests show an irreversible reduction in endpoint brine permeability and relative permeability with increasing concentration of friction reducer. Our results also show that effective gas permeability during drainage/cleanup of the imbibed slickwater fluid is controlled to a large degree by trapped gas saturation than by changes in interfacial tension. Adsorption flow tests identified adsorption of polymeric molecules of the friction reducer present in the fluid to the pore walls of the rock. The adsorption friction reducer increases the wettability of the rock surface and results in the reduction of liquid relative permeability. The originality of this work is to diagnose formation damage mechanisms from laboratory experiments that adequately capture multiphase permeability evolution specific to a slickwater fluid system, during imbibition and cleanup. This will be useful in optimizing fracturing fluid selection.
注入过程中泄漏的压裂液滤液被低渗透砂岩中存在的强大毛细力所吸收,可能会严重降低清理和压裂后生产过程中的有效渗透率。这项工作旨在研究滑溜水中压裂液滤液对岩石-流体和流体-流体相互作用的作用,并通过专门的岩心实验室技术量化滤液吸排过程中产生的多相渗透率演化。进行了三组实验。在第一组实验中,对选定的岩心样品进行了流体泄漏测试,以确定聚合物侵入的程度和泄漏特征。在第二套井中,对饱和压裂液滤液的砂岩桥塞进行了多种气体相对渗透率测量。采用可控流体蒸发和脉冲衰减渗透率技术相结合的方法,测量了排吸循环的液体和气体有效渗透率。这些实验旨在捕捉压裂液(滑溜水)侵入和清理过程中渗透率的动态变化。最后一组实验包括吸附流动测试,以调查、识别和量化流体滤液中摩擦减速器的聚合物分子吸附到岩石样品孔壁上的可能机制。进行了渗吸试验和接触角观察,以验证可能的润湿性变化。多相渗透流动试验结果表明,随着摩擦减速器浓度的增加,终端盐水渗透率和相对渗透率不可逆地降低。我们的研究结果还表明,在吸入滑溜水的排水/净化过程中,有效渗透率在很大程度上受捕获气饱和度的控制,而不是界面张力的变化。吸附流动测试发现,流体中存在的摩擦减速器的聚合物分子吸附到岩石的孔壁上。吸附减摩剂增加了岩石表面的润湿性,导致液体相对渗透率降低。这项工作的独创性在于通过实验室实验来诊断地层损伤机制,充分捕捉滑溜水系统在吸胀和清理过程中的多相渗透率演化。这将有助于优化压裂液的选择。
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引用次数: 3
A Dual-Directional Flow Control Device for Cyclic Steam Stimulation Applications 用于循环蒸汽增产应用的双向流动控制装置
IF 1.2 4区 工程技术 Q2 Energy Pub Date : 2021-12-01 DOI: 10.2118/206270-pa
Da Zhu
Cyclic steam stimulation (CSS) is one the most effective thermal recovery methods. It is widely used as the primary thermal recovery method to recover heavy oil fields in the Middle East, the Asia-Pacific region, and North and South America. In this paper, a novel dual-directional flow control device (FCD) will be introduced. This FCD technology can allocate accurate steam outflow into the reservoir formation and improve steam quality during the steam injection period and can mitigate steam breakthrough from the neighboring wells during the production period. In the first section, we give a brief introduction on CSS and the main issues encountered in the field operation. A multidirectional flow control nozzle specifically designed for CSS application will be presented. Design philosophy in thermodynamics and hydrodynamics of the nozzle will be discussed in detail. Field performance results, computational fluid dynamics (CFD), and flow loop testing data will be shown to evaluate the performance of the technology. The application of the technology in steam-assisted thermal applications will be introduced. Well-known issues such as erosion and scaling on the FCD tools will be studied in the end.
循环蒸汽吞吐是最有效的热采方法之一。在中东、亚太地区以及南北美洲,它被广泛用作稠油油田的主要热采方法。本文将介绍一种新型的双向流量控制装置。这种FCD技术可以在注汽期间将准确的蒸汽流出分配到储层中,提高蒸汽质量,并可以在生产期间减少相邻井的蒸汽突破。在第一节中,我们简要介绍了CSS以及在现场操作中遇到的主要问题。将介绍一种专门为CSS应用设计的多向流量控制喷嘴。将详细讨论喷嘴的热力学和流体力学设计原理。现场性能结果、计算流体动力学(CFD)和流动回路测试数据将用于评估该技术的性能。将介绍该技术在蒸汽辅助热应用中的应用。FCD工具上的腐蚀和结垢等众所周知的问题将在最后进行研究。
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引用次数: 5
Analytical Modeling of Wax Plug Transportation during Pipeline Pigging Using a Foam Pig 泡沫清管器清管过程中蜡塞输送的分析建模
IF 1.2 4区 工程技术 Q2 Energy Pub Date : 2021-12-01 DOI: 10.2118/208609-pa
Xuedong Gao, Qiyu Huang, Xun Zhang, Yu Zhang
In our previous article (Gao et al. 2020), a mathematical model including elastic and yield components but not viscous component was developed to predict the wax plug transportation force. In this work, an analytical model was developed to calculate the wax plug transportation force, and the viscous component was introduced into the analytical model to capture some of the time effects. In this analytical model, the viscoelastic behavior of the wax deposit was characterized by a three-parameter model, formulated by adding an additional spring element to the Kelvin-Voight model. The Laplace transformation was used to solve the model. According to the calculated results of the analytical model, the transportation force of the wax plug was observed to slightly increase with time and then tended to level off. To obtain a parameter in the model and verify the model, the pigging experiments were conducted using foam pigs. During the pigging process of the foam pig, the wax plug transportation force in a five-phase wax removal profile was determined by taking the steady wax breaking force from the resistive force of the wax layer. Moreover, the linear increase of the wax plug transportation force per unit contact area with the shear strength of the wax layer was found, as described by the functional relationship in the analytical model. The interfacial lubrication coefficient calculated from the experimental data based on the analytical model is between the coefficient for diesel-prepared deposits and coefficient for oil-A-prepared deposits. Experimental verification results show that the average relative error of the model is 12.47%. Field implication was proposed to illustrate the application of the model and the formation condition of the wax blockage.
在我们之前的文章(Gao et al.2020)中,开发了一个包括弹性和屈服分量但不包括粘性分量的数学模型来预测蜡塞输送力。在这项工作中,开发了一个分析模型来计算蜡塞输送力,并在分析模型中引入粘性成分来捕捉一些时间效应。在该分析模型中,蜡沉积物的粘弹性行为由三参数模型表征,该模型通过在Kelvin-Voight模型中添加额外的弹簧单元来制定。使用拉普拉斯变换来求解该模型。根据分析模型的计算结果,观察到蜡塞的输送力随时间略有增加,然后趋于平稳。为了获得模型中的参数并验证模型,使用泡沫清管器进行了清管实验。在泡沫清管器清管过程中,通过从蜡层的阻力中取稳定的断蜡力来确定五相除蜡剖面中的蜡塞输送力。此外,如分析模型中的函数关系所描述的,发现每单位接触面积的蜡塞输送力与蜡层的剪切强度呈线性增加。根据基于分析模型的实验数据计算的界面润滑系数介于柴油制备的沉积物的系数和油制备的沉积的系数之间。实验验证结果表明,该模型的平均相对误差为12.47%。文中还提出了现场含义,以说明该模型的应用和堵蜡的形成条件。
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引用次数: 2
期刊
Spe Production & Operations
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