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Informed Decisions Guided by GeoMechanics to Improve Drilling Performance: A Case Study from Onshore Field, Abu Dhabi; UAE 地质力学指导下的明智决策提高钻井性能——以阿布扎比陆上油田为例阿联酋
Pub Date : 2021-12-15 DOI: 10.2118/204559-ms
S. Benmamar, S. Al Arfi, S. Perumalla, G. Salem, A. Baruno, S. Saha, Pranjal Bhatt
ADNOC (Abu Dhabi National Oil Company) recently drilled some wells in Onshore Abu Dhabi (Field-A) and encountered consistent hole instability from Umm Er Radhuma (UER) to Simsima. Thus, a GeoMechanical review was proposed to investigate the root causes, if any, and recommend possible remedies for the upcoming drilling campaign. While detailed drilling event analysis allowed to investigate the correlation between the mud weight program and well trajectory, borehole image log analysis and geological understanding from nearby fields indicated the possible role of structural and lithological features on hole instability. Integration of drilling engineering data and regional geological knowledge helped to narrow down the possible causes of drilling challenges. Sedimentalogical review of Image logs have established some correlation between rock types and hole instability events. Drilling experience shows there is very narrow margin for loss and/or gain to occur. There is regional geological evidence of the presence of a wide range of vuggy structures, as well as natural fractures and/or faults. These features tend to make Simsima formation heterogeneous in terms of permeability and more prone to losses. Since most fractures are parallel to SHmax direction and well was drilled towards Shmin direction, there are greater chances of encountering faults and/or fractures, which would be critically-stressed and lead to loss and/or gain situations. Geomechanical parameters helped highlight the magnitudes and orientations of principal stresses. Observations of several tight hole and stuck pipe events while tripping from Radhuma and UERB shale to Simsima seem to indicate mud weight used was insufficient. Role of multiple failure mechanisms was identified, and relevant solutions were recommended as well as implemented to achieve the drilling success. The case study presented here emphasizes how different carbonate textures and the presence and orientation of natural fractures and/or faults within Simsima formation can impact hole instability with respect to wellbore trajectory. Proactive implementation of recommendations from this analysis on well planning and fluid design resulted in improvement of drilling performance and reduction of non-productive time in new wells.
ADNOC(阿布扎比国家石油公司)最近在阿布扎比陆上(a油田)钻了几口井,从Umm Er Radhuma (UER)到Simsima都遇到了持续的井眼不稳定问题。因此,建议进行地质力学评估,以调查根本原因(如果有的话),并为即将到来的钻井活动提出可能的补救措施。虽然详细的钻井事件分析可以研究泥浆比重计划与井眼轨迹之间的相关性,但井眼图像测井分析和附近油田的地质信息表明,构造和岩性特征可能对井眼不稳定起作用。钻井工程数据和区域地质知识的整合有助于缩小钻井挑战的可能原因。通过对成像测井资料的沉积学复习,建立了岩石类型与孔失稳事件之间的相关性。钻井经验表明,发生损失和/或收益的余地非常小。有区域地质证据表明存在广泛的洞状构造,以及天然裂缝和/或断层。这些特征使得Simsima地层渗透率不均匀,更容易发生漏失。由于大多数裂缝平行于SHmax方向,并且井是朝Shmin方向钻的,因此遇到断层和/或裂缝的可能性更大,这将导致临界应力,并导致损失和/或增加的情况。地质力学参数有助于突出主应力的大小和方向。在从Radhuma和UERB页岩到Simsima的起下钻过程中,观察到几次井眼紧井和卡管事件,似乎表明所使用的泥浆比重不足。确定了多种失效机制的作用,并提出了相应的解决方案,以实现钻井成功。本文的案例研究强调了Simsima地层中不同的碳酸盐结构、天然裂缝和/或断层的存在和方向如何影响井眼轨迹的不稳定性。根据分析得出的建议,积极实施井规划和流体设计,提高了钻井性能,减少了新井的非生产时间。
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引用次数: 0
Nanoemulsions: A Versatile Technology for Oil and Gas Applications 纳米乳液:石油和天然气应用的通用技术
Pub Date : 2021-12-15 DOI: 10.2118/204722-ms
N. Aljabri, Nan Shi
Nanoemulsions (NEs) are kinetically stable emulsions with droplet size on the order of 100 nm. Many unique properties of NEs, such as stability and rheology, have attracted considerable attention in the oil industry. Here, we review applications and studies of NEs for major upstream operations, highlighting useful properties of NEs, synthesis to render these properties, and techniques to characterize them. We identify specific challenges associated with large-scale applications of NEs and directions for future studies. We first summarize useful and unique properties of NEs, mostly arising from the small droplet size. Then, we compare different methods to prepare NEs based on the magnitude of input energy, i.e., low-energy and high-energy methods. In addition, we review techniques to characterize properties of NEs, such as droplet size, volume fraction of the dispersed phase, and viscosity. Furthermore, we discuss specific applications of NEs in four areas of upstream operations, i.e., enhanced oil recovery, drilling/completion, flow assurance, and stimulation. Finally, we identify challenges to economically tailor NEs with desired properties for large-scale upstream applications and propose possible solutions to some of these challenges. NEs are kinetically stable due to their small droplet size (submicron to 100 nm). Within this size range, the rate of major destabilizing mechanisms, such as coalescence, flocculation, and Ostwald ripening, is considerably slowed down. In addition, small droplet size yields large surface-to-volume ratio, optical transparency, high diffusivity, and controllable rheology. Similar to applications in other fields (food industry, pharmaceuticals, cosmetics, etc.), the oil and gas industry can also benefit from these useful properties of NEs. Proposed functions of NEs include delivering chemicals, conditioning wellbore/reservoir conditions, and improve chemical compatibility. Therefore, we envision NEs as a versatile technology that can be applied in a variety of upstream operations. Upstream operations often target a wide range of physical and chemical conditions and are operated at different time scales. More importantly, these operations typically consume a large amount of materials. These facts not only suggest efforts to rationally engineer properties of NEs in upstream applications, but also manifest the importance to economically optimize such efforts for large-scale operations. We summarize studies and applications of NEs in upstream operations in the oil and gas industry. We review useful properties of NEs that benefit upstream applications as well as techniques to synthesize and characterize NEs. More importantly, we identify challenges and opportunities in engineering NEs for large-scale operations in different upstream applications. This work not only focuses on scientific aspects of synthesizing NEs with desired properties but also emphasizes engineering and economic consideration that is important in th
纳米乳剂(NEs)是一种动力学稳定的乳剂,其液滴尺寸约为100 nm。NEs的许多独特性能,如稳定性和流变性,在石油工业中引起了相当大的关注。在这里,我们回顾了网元在主要上游作业中的应用和研究,重点介绍了网元的有用特性、呈现这些特性的合成以及表征它们的技术。我们确定了与NEs大规模应用相关的具体挑战和未来研究的方向。我们首先总结了NEs的有用和独特的性质,主要是由于小液滴尺寸。然后,我们根据输入能量的大小比较了不同的网元制备方法,即低能和高能方法。此外,我们回顾了表征NEs性质的技术,如液滴大小,分散相的体积分数和粘度。此外,我们还讨论了NEs在上游作业的四个领域的具体应用,即提高采收率、钻井/完井、流动保证和增产。最后,我们确定了在大规模上游应用中经济地定制具有所需属性的NEs所面临的挑战,并针对其中一些挑战提出了可能的解决方案。由于它们的液滴尺寸小(亚微米到100纳米),因此具有动力学稳定性。在这个尺寸范围内,主要不稳定机制的速率,如聚结、絮凝和奥斯特瓦尔德成熟,相当慢。此外,小液滴尺寸产生大的表面体积比,光学透明度,高扩散率和可控的流变性。与其他领域(食品工业、制药、化妆品等)的应用类似,石油和天然气工业也可以从NEs的这些有用特性中受益。新提出的功能包括输送化学物质、调节井筒/油藏条件以及改善化学物质相容性。因此,我们认为NEs是一种通用技术,可以应用于各种上游作业。上游作业通常针对各种物理和化学条件,并且在不同的时间尺度上进行。更重要的是,这些操作通常会消耗大量的材料。这些事实不仅表明了在上游应用中合理设计NEs属性的努力,而且表明了在大规模操作中经济优化此类努力的重要性。我们总结了在油气行业上游作业中的研究和应用。我们回顾了有益于上游应用的网元的有用性质以及合成和表征网元的技术。更重要的是,我们确定了在不同上游应用中大规模操作的工程NEs的挑战和机遇。这项工作不仅侧重于合成具有所需性能的NEs的科学方面,而且还强调了在石油工业中重要的工程和经济考虑。
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引用次数: 0
Advancement in Data Engineering and Feature Processing Workflow by Using Deep Learning Techniques for the Automation of ESP Failure Root Cause Analyses 应用深度学习技术实现ESP故障根源分析自动化的数据工程和特征处理工作流程研究进展
Pub Date : 2021-12-15 DOI: 10.2118/204566-ms
Saniya Karnik, Navya Yenuganti, Bonang Firmansyah Jusri, Supriya Gupta, Prasanna Nirgudkar, M. Mohajer, Asim Malik
Today, Electrical Submersible Pump (ESP) failure analysis is a tedious, human-intensive, and time-consuming activity involving dismantle, inspection, and failure analysis (DIFA) for each failure. This paper presents a novel artificial intelligence workflow using an ensemble of machine learning (ML) algorithms coupled with natural language processing (NLP) and deep learning (DL). The algorithms outlined in this paper bring together structured and unstructured data across equipment, production, operations, and failure reports to automate root cause identification and analysis post breakdown. This process will result in reduced turnaround time (TAT) and human effort thus drastically improving process efficiency.
目前,电潜泵(ESP)的故障分析是一项繁琐、耗时的工作,涉及拆卸、检查和故障分析(DIFA)。本文提出了一种新的人工智能工作流,它将机器学习(ML)算法与自然语言处理(NLP)和深度学习(DL)相结合。本文概述的算法汇集了设备、生产、操作和故障报告中的结构化和非结构化数据,以自动识别故障发生后的根本原因并进行分析。此流程将减少周转时间(TAT)和人力,从而大大提高流程效率。
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引用次数: 1
CO2 Waterless Fracturing and Huff and Puff in Tight Oil Reservoir 致密油油藏CO2无水压裂与吞吐
Pub Date : 2021-12-15 DOI: 10.2118/204731-ms
Weixiang Cui, Li Chen, Chunpeng Wang, Xiwen Zhang, Chao Wang
CO2 fracturing technique is a kind of ideal waterless stimulation tech. It has the advantages of water free, low reservoir damage, and production increase by improving the reservoir pressure. At the same time, combined with reasonable shut-in control after fracturing, it can be realized integrated development technology of energy storage -fracturing and oil displacement with CO2 waterless stimulation. For low-grade and low-permeability tight reservoirs, through the integration technology of CO2 fracturing and CO2 flooding, fracture-type "artificial permeability" is formed in the formation, and micro-nano pore throat of underground matrix is formed as oil and gas production system, which realizes the development of artificial energy, reduces carbon emissions, effectively improves the productivity of low-permeability and tight reservoirs, thus further improves oil recovery. The technology mainly includes two aspects: vertical wells adopt CO2 fracturing + huff and puff displacement integration technology, horizontal wells adopt water-based fracturing + CO2 displacement technology, and utilize the high efficiency of CO2 penetration in reservoirs and crude oil viscosity reduction, which can greatly improve oil recovery, while achieving large-scale CO2 storage and reducing carbon emissions. It is both realistic and economic, and has great social benefits. The integrated development technology of energy storage -fracturing and oil displacement with CO2 waterless stimulation has been applied for 10 wells in oilfield, which has achieved good results in increasing reservoir volume, increasing formation energy, reducing oil viscosity and enhancing post-pressure recovery. As a result, the production of them has increased by over 100%. With low viscosity and high diffusion coefficient, supercritical CO2 is good for improving fracturing volume. Effective CO2 fracturing technology can improve stimulated reservoir volume, downhole monitoring results show that the cracks formed by CO2 fracturing is 3 times the size of those formed by water-based fracturing.
CO2压裂技术是一种理想的无水增产技术,具有无水、储层损害小、通过提高储层压力提高产量等优点。同时,结合压裂后合理的关井控制,可实现储压驱油CO2无水增产一体化开发技术。对于低品位低渗透致密储层,通过CO2压裂与CO2驱一体化技术,在地层中形成裂缝型“人工渗透”,形成地下基质微纳孔喉作为油气生产系统,实现了人工能源的开发,降低了碳排放,有效提高了低渗透致密储层产能,从而进一步提高了采收率。该技术主要包括两个方面:直井采用CO2压裂+吞吐驱替一体化技术,水平井采用水基压裂+ CO2驱替技术,利用CO2在储层中的高效渗透和原油降粘,可以大大提高采收率,同时实现大规模的CO2封存和减少碳排放。它既现实又经济,具有很大的社会效益。储压驱油+ CO2无水增产一体化开发技术已在油田应用10口井,在增加储层体积、提高地层能量、降低油粘度、提高压后采收率等方面取得了良好效果。结果,它们的产量增加了100%以上。超临界CO2具有低粘度、高扩散系数的特点,有利于提高压裂体积。有效的CO2压裂技术可以提高增产储层体积,井下监测结果表明,CO2压裂形成的裂缝尺寸是水基压裂形成的裂缝尺寸的3倍。
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引用次数: 0
Real-Time Wellbore Stability and Hole Quality Evaluation Using LWD Azimuthal Photoelectric Measurements 利用随钻方位光电测量技术实时评价井眼稳定性和井眼质量
Pub Date : 2021-12-15 DOI: 10.2118/204825-ms
Khaqan Khan, M. Altwaijri, A. Taher, M. Fouda, Mohamed Hussein
Horizontal and high-inclination deep wells are routinely drilled to enhance hydrocarbon recovery. To sustain production rates, these wells are generally designed to be drilled in the direction of minimum horizontal stress in strike slip stress regime to facilitate transverse fracture growth during fracturing operations. These wells can also cause wellbore instability challenges due to high stress concentration due to compressional or strike-slip stress regimes. Hence, apart from pre-drill wellbore stability analysis for an optimum mud weight design, it is important to continuously monitor wellbore instability indicators during drilling. With the advancements of logging-while-drilling (LWD) techniques, it is now possible to better assess wellbore stability during drilling and, if required, to take timely decisions and adjust mud weight to help mitigate drilling problems. The workflow for safely drilling deep horizontal wells starts with analyzing the subsurface stress regime using data from offset wells. Through a series of steps, data is integrated to develop a geomechanics model to select an optimum drilling-fluid density to maintain wellbore stability while minimizing the risks of differential sticking and mud losses. Due to potential lateral subsurface heterogeneity, continuous monitoring of drilling events and LWD measurements is required, to update and calibrate the pre-well model. LWD measurements have long been used primarily for petrophysical analysis and well placement in real time. The use of azimuthal measurements for real-time wellbore stability evaluation applications is a more recent innovation. Shallow formation density readings using azimuthal LWD measurements provide a 360° coverage of wellbore geometry, which can be effectively used to identify magnitude and orientation of borehole breakout at the wellbore wall. Conventional LWD tools also provide auxiliary azimuthal measurements, such as photoelectric (Pe) measurement, derived from the near detector of typical LWD density sensors. The Pe measurement, with a very shallow depth of investigation (DOI), is more sensitive to small changes in borehole shape compared with other measurements from the same sensor, particularly where a high contrast exists between drilling mud and formation Pe values. Having azimuthal measurements of both Pe and formation density while drilling facilitates better control on assess wellbore stability assessment in real time and make decisions on changes in mud density or drilling parameters to keep wellbore stable and avoid drilling problems. Time dependency of borehole breakout can also be evaluated using time-lapse data to enhance analysis and reduce uncertainty. Analyzing LWD density and Pe azimuthal data in real time has guided real-time decisions to optimize drilling fluid density while drilling. The fluid density indicated by the initial geo-mechanical analysis has been significantly adjusted, enabling safe drilling of deep horizontal wells by
为了提高油气采收率,通常会钻水平井和大斜度深井。为了维持产量,这些井通常被设计成在走滑应力状态下水平应力最小的方向钻井,以促进压裂作业期间横向裂缝的生长。这些井也可能由于挤压或走滑应力状态造成的高应力集中而造成井筒不稳定问题。因此,除了钻前进行井筒稳定性分析以获得最佳泥浆比重设计外,在钻井过程中持续监测井筒不稳定性指标也很重要。随着随钻测井(LWD)技术的进步,现在可以更好地评估钻井过程中的井筒稳定性,如果需要,可以及时做出决定并调整泥浆比重,以帮助减轻钻井问题。安全钻深水平井的工作流程是从利用邻井数据分析地下应力状态开始的。通过一系列步骤,将数据整合到地质力学模型中,以选择最佳钻井液密度,以保持井筒稳定性,同时最大限度地降低差异卡钻和泥浆漏失的风险。由于潜在的横向地下非均质性,需要持续监测钻井事件和随钻测井测量,以更新和校准井前模型。长期以来,随钻测井测量主要用于岩石物理分析和实时井位。在实时井筒稳定性评估应用中使用方位测量是最近的一项创新。使用方位角随钻测井测量的浅层地层密度读数可以360°覆盖井筒几何形状,可以有效地用于识别井壁处的井眼破裂的大小和方向。传统的LWD工具还提供辅助的方位测量,例如光电(Pe)测量,该测量来自典型LWD密度传感器的近探测器。与同一传感器的其他测量方法相比,Pe测量方法具有非常浅的探测深度(DOI),对井眼形状的微小变化更为敏感,特别是在钻井泥浆和地层Pe值之间存在高对比度的情况下。在钻井过程中同时进行Pe和地层密度的方位角测量,有助于更好地实时控制井筒稳定性评估,并对泥浆密度或钻井参数的变化做出决策,以保持井筒稳定,避免钻井问题。井眼突破的时间依赖性也可以使用延时数据进行评估,以增强分析并减少不确定性。实时分析LWD密度和Pe方位数据可以指导实时决策,以优化钻井过程中的钻井液密度。通过对初始地球力学分析得出的流体密度进行了显著调整,通过最大限度地减少井筒破裂,实现了深水平井的安全钻井。通过随钻密度和光电测量确定的裂缝,在钻井后使用电缆六臂井径测井进一步验证。与常规的密度图像不同,本文提出利用Pe图像实时评价井筒稳定性和质量,从而提高在最小水平应力方向钻井的深水平井的钻井安全性和完井效果。
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引用次数: 0
Application of a Novel Ecofriendly Okra Powder as Fluid Loss Controller in Water Based Drilling Fluids 新型环保型秋葵粉在水基钻井液降滤失剂中的应用
Pub Date : 2021-12-15 DOI: 10.2118/204773-ms
Mobeen Murtaza, Zeeshan Tariq, Xianmin Zhou, Dhafer Al Sheri, M. Mahmoud, Shahzad Kamal
Saudi Arabian based companies are spending many millions of dollars a year on import of drilling mud additives to meet the drilling industry demand. To cut the imported materials, locally available materials are preferable. Out of many drilling fluid additives, a single locally available additive such as fluid loss can save millions of dollars a year. The cost and locally available raw material justify the development of drilling fluid additives in the Kingdom of Saudi Arabia. In other aspect, local development provides many benefits to the Kingdom including industrial growth, technology ownership and new job opportunities. Okra (Hibiscus esculents) is widely used as a thickener and viscosifier in medical and food industries due to its low cost, availability, longer shelf life, and high thermal tolerance. In addition to that, it is environment friendly and available in abundance locally in Kingdom of Saudi Arabia. The composition of Okra powder was diagnosed by X-ray fluorescence (XRF) and Fourier-transform infrared spectroscopy (FTIR). The thermal stability of Okra was tested using thermal gravimetric analysis (TGA). The Okra powder was mixed in various concentrations such as (1, 2 and 3) grams in 350ml of water based drilling fluid (WBDF). The performance of Okra contained drilling fluids was compared with starch-based drilling fluid. The addition of Okra reduced fluid loss in different proportions at different concentrations. For instance, drilling fluid with 3g Okra concentration had 42% lower fluid loss as compared to the base fluid. The cake thickness was reduced upon the addition of Okra. The low fluid loss and thin filter cake make Okra a useful solution as a fluid loss controller in WBDFs. The addition of Okra powder also increased the viscosity and gel strength of the WBDFs. TGA analysis of Okra powder showed that it has strong thermal stability as compared to starch. Overall, the experimental results suggest that Okra mixed drilling fluids can be used as an alternate solution to starch mixed drilling fluids.
沙特阿拉伯的公司每年花费数百万美元进口钻井泥浆添加剂,以满足钻井行业的需求。如需切割进口材料,最好选用本地材料。在众多钻井液添加剂中,一种当地可用的添加剂(如失滤剂)每年可节省数百万美元。成本和当地可获得的原材料证明在沙特阿拉伯王国开发钻井液添加剂是合理的。在另一方面,地方发展为王国提供了许多好处,包括工业增长、技术所有权和新的就业机会。秋葵(芙蓉植物)因其成本低、易得、保质期长、耐热性好等优点,在医疗和食品工业中广泛用作增稠剂和增粘剂。此外,它是环境友好型的,在沙特阿拉伯王国当地大量供应。采用x射线荧光(XRF)和傅里叶变换红外光谱(FTIR)对秋葵粉进行成分分析。采用热重分析法(TGA)对秋葵的热稳定性进行了测试。将秋葵粉以不同的浓度(1、2和3)克混合在350ml水基钻井液(WBDF)中。对比了含秋葵钻井液与淀粉基钻井液的性能。秋葵在不同浓度下以不同比例降低了水分流失。例如,与基础液相比,含有3g秋葵浓度的钻井液滤失率降低了42%。加入秋葵后,饼的厚度减小。低滤失和薄滤饼使秋葵成为一个有用的解决方案,作为液体损失控制在wbdf。秋葵粉的加入也提高了wbdf的粘度和凝胶强度。对秋葵粉的TGA分析表明,秋葵粉与淀粉相比具有较强的热稳定性。综上所述,实验结果表明,秋葵混合钻井液可以作为淀粉混合钻井液的替代方案。
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引用次数: 3
An Experimental Investigation of the Effect of Changing the Rock's Wettability on the Performance of Carbonated Water Injection CWI 改变岩石润湿性对碳酸注水CWI性能影响的实验研究
Pub Date : 2021-12-15 DOI: 10.2118/204847-ms
J. Castañeda, Almohannad Alhashboul, A. Farzaneh, M. Sohrabi
CWI is affected by multiple factors, including the wettability of the rock. These experiments seek to determine the results that are obtained when CW is injected in a tertiary mode for systems: (1) wetted by water and (2) mixed wettability; to date, no study has used this approach. The same sandstone core was used in all trials, and each test consisted of saturating the core with live crude, followed by the injection of water as a secondary recovery and then the injection of CW as a tertiary recovery. An additional sensitivity test was conducted that consisted of varying the composition of the dissolved gas in the crude. In general, in a water wet system, the recovery associated with the injection of CW is higher (normalized) compared to a mixed wettability system. This does not mean that the results were negative in the mixed system. On the contrary, the results are positive since on the order of an additional 20% was recovered. However, the pressure differential in a mixed system is higher (14%) compared to water wet system. Although it is common knowledge that wettability of the rock affects the production and pressure results in an experiment, these are the first experiments that have been performed exclusively to determine quantitatively the response to CWI while maintaining the other parameters constant.
CWI受多种因素影响,包括岩石的润湿性。这些实验试图确定当连续波以三级模式注入系统时获得的结果:(1)被水润湿;(2)混合润湿性;到目前为止,还没有研究使用这种方法。在所有试验中都使用了相同的砂岩岩心,每次测试都包括用活原油饱和岩心,然后注水作为第二次采收率,然后注入连续油管作为第三次采收率。另外还进行了一项灵敏度测试,包括改变原油中溶解气体的成分。通常,在水润湿系统中,与混合润湿系统相比,注入连续波的采收率更高(归一化)。这并不意味着在混合系统中结果是负的。相反,结果是积极的,因为大约有20%的额外回收。然而,与水湿系统相比,混合系统中的压差更高(14%)。虽然众所周知,岩石的润湿性会影响实验中的产量和压力结果,但这是第一次专门进行的实验,目的是在保持其他参数不变的情况下定量确定对CWI的响应。
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引用次数: 0
Methodology of Effective Lateral Placement for Underbalanced Coiled Tubing Drilling Wells 欠平衡连续油管钻井的有效横向定位方法
Pub Date : 2021-12-15 DOI: 10.2118/204610-ms
Azly Abdul Aziz, Ferney Moreno Sierra, N. Aldossary
This paper describes a methodology that has been developed to maximize lateral placement in productive reservoir intervals during underbalanced coiled tubing drilling (UBCTD) operations. UBCTD has emerged as an effective and economically viable development solution for exploiting reserves in mature gas reservoirs. In some cases, it can be a suitable solution to develop reserves in more geologically complex and heterogonous reservoirs over the conventional drilling and stimulation techniques. The methodology integrates big surface and subsurface data from multiple sources in multiple formats in real to near real-time that are normally acquired during UBCTD drilling operations. The multiple sources of data include subsurface geology, wellsite biosteering, reservoir influx, well testing and drilling, and can provide important information about the reservoirs encountered. With the aid of data analytics and an advanced visualization tool, the data is translated into in series of engineering plots that enable easier identification of productive intervals and more informed as well as efficient lateral placement decisions. This methodology has proven superior to the conventional instantaneous Productivity Index (PI) approach that is commonly used for UBCTD lateral placement. The methodology has been tested with good success in a number of recently drilled UBCTD wells in geologically complex depositional environments across carbonates and clastic reservoirs. Post flowback and pressure transient test analyses have shown significant improvement in the well deliver abilities and effective lateral lengths. Past performance from wells drilled using the PI method will be compared with wells drilled with this method.
本文介绍了一种在欠平衡连续油管钻井(UBCTD)作业中最大化生产层段横向放置的方法。对于开发成熟气藏的储量来说,UBCTD已经成为一种有效且经济可行的开发解决方案。在某些情况下,与传统的钻井和增产技术相比,它可以成为开发地质更复杂和非均质油藏的合适解决方案。该方法整合了来自多个来源、多种格式的大型地面和地下数据,这些数据通常是在UBCTD钻井作业期间获取的。多种数据来源包括地下地质、井场生物导向、储层流入、试井和钻井,可以提供有关遇到的储层的重要信息。在数据分析和先进的可视化工具的帮助下,数据被转换成一系列的工程图,可以更容易地识别生产层段,并更明智、更有效地进行横向布置决策。该方法已被证明优于常规的瞬时产能指数(PI)方法,后者通常用于UBCTD横向下入。该方法已经在最近钻探的一些地质环境复杂的碳酸盐岩和碎屑储层的UBCTD井中进行了测试,取得了良好的成功。后返排和压力瞬态测试分析表明,井的输送能力和有效水平段长度得到了显著改善。过去使用PI方法钻井的性能将与使用该方法钻井的性能进行比较。
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引用次数: 0
Machine-Learning for the Prediction of Lost Circulation Events - Time Series Analysis and Model Evaluation 漏失事件预测的机器学习-时间序列分析和模型评估
Pub Date : 2021-12-15 DOI: 10.2118/204706-ms
A. Magana-Mora, Mohammad Aljubran, J. Ramasamy, M. Albassam, C. Gooneratne, Miguel Gonzalez, Tim Thiel, M. Deffenbaugh
Objective/Scope. Lost circulation events (LCEs) are among the top causes for drilling nonproductive time (NPT). The presence of natural fractures and vugular formations causes loss of drilling fluid circulation. Drilling depleted zones with incorrect mud weights can also lead to drilling induced losses. LCEs can also develop into additional drilling hazards, such as stuck pipe incidents, kicks, and blowouts. An LCE is traditionally diagnosed only when there is a reduction in mud volume in mud pits in the case of moderate losses or reduction of mud column in the annulus in total losses. Using machine learning (ML) for predicting the presence of a loss zone and the estimation of fracture parameters ahead is very beneficial as it can immediately alert the drilling crew in order for them to take the required actions to mitigate or cure LCEs. Methods, Procedures, Process. Although different computational methods have been proposed for the prediction of LCEs, there is a need to further improve the models and reduce the number of false alarms. Robust and generalizable ML models require a sufficiently large amount of data that captures the different parameters and scenarios representing an LCE. For this, we derived a framework that automatically searches through historical data, locates LCEs, and extracts the surface drilling and rheology parameters surrounding such events. Results, Observations, and Conclusions. We derived different ML models utilizing various algorithms and evaluated them using the data-split technique at the level of wells to find the most suitable model for the prediction of an LCE. From the model comparison, random forest classifier achieved the best results and successfully predicted LCEs before they occurred. The developed LCE model is designed to be implemented in the real-time drilling portal as an aid to the drilling engineers and the rig crew to minimize or avoid NPT. Novel/Additive Information. The main contribution of this study is the analysis of real-time surface drilling parameters and sensor data to predict an LCE from a statistically representative number of wells. The large-scale analysis of several wells that appropriately describe the different conditions before an LCE is critical for avoiding model undertraining or lack of model generalization. Finally, we formulated the prediction of LCEs as a time-series problem and considered parameter trends to accurately determine the early signs of LCEs.
目的/范围。漏失事故(LCEs)是造成钻井非生产时间(NPT)的主要原因之一。天然裂缝和空穴地层的存在会导致钻井液循环的损失。在泥浆比重不正确的枯竭层钻井也可能导致钻井损失。lce还可能发展为额外的钻井危害,如卡钻事故、井涌和井喷。传统上,只有在中度漏失的情况下,泥浆池中泥浆体积减少,或者环空中泥浆柱减少时,才能诊断出LCE。使用机器学习(ML)来预测漏失区域的存在,并提前估计裂缝参数,这是非常有益的,因为它可以立即提醒钻井队,以便他们采取必要的行动来减轻或治愈lce。方法、程序、过程。虽然已经提出了不同的lce预测计算方法,但还需要进一步改进模型,减少误报的数量。健壮且可泛化的ML模型需要足够多的数据来捕获表示LCE的不同参数和场景。为此,我们开发了一个框架,该框架可以自动搜索历史数据,定位lce,并提取围绕这些事件的地面钻井和流变参数。结果、观察和结论。我们利用各种算法推导出不同的ML模型,并使用井级数据分割技术对其进行评估,以找到最适合LCE预测的模型。从模型比较来看,随机森林分类器取得了最好的结果,在lce发生之前成功地预测了lce。开发的LCE模型可以在实时钻井门户中实施,帮助钻井工程师和钻井队减少或避免NPT。小说/附加信息。本研究的主要贡献是分析实时地面钻井参数和传感器数据,从统计上具有代表性的井数量中预测LCE。在LCE之前,对几口井进行大规模分析,适当地描述不同的条件,对于避免模型训练不足或缺乏模型泛化至关重要。最后,我们将lce的预测表述为一个时间序列问题,并考虑参数趋势,以准确确定lce的早期迹象。
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引用次数: 1
Manganese Assisted Waterflooding Processes for Enhanced Oil Recovery in Carbonates 锰辅助水驱法提高碳酸盐油藏采收率
Pub Date : 2021-12-15 DOI: 10.2118/204821-ms
A. Alghamdi, S. Salah, M. Otaibi, S. Ayirala, A. Yousef
Modifying the wettability of carbonate formations through divalent foreign metal incorporation can become a cost-effective practical method for enhanced oil recovery (EOR) applications. The addition of manganese ions to both high salinity water (HSW) and tailored SmartWater at dilute concentrations is exploited in this study to maximize the interfacial potential and promote water-wet conditions in carbonate reservoirs. In this experimental investigation, the impact of manganese ions on zeta-potentials at calcite/brine and crude oil/brine interfaces is first determined by measuring zeta-potentials in calcite suspensions and oil emulsions. Two different water chemistries representative of HSW (~60,000 ppm TDS) and a low salinity tailored SmartWater (~6,000 ppm TDS) were used. The measurements were then extended to carbonate rocks and reservoir cores by performing contact angle and spontaneous imbibition tests at reservoir conditions. The oil-water interfacial tensions are also measured to understand the interactions of manganese ions at the oil/brine interface. The zeta potential results showed a positive consistent trend, with the addition of 100-1,000 ppm of Mn+2 ions in the form of MnSO4 to the high salinity water, to impact the wetting transition towards water-wet conditions in carbonates. The addition of Mn+2 ions at a concentration of 100-1,000 ppm to HSW enhanced the electrokinetic interactions to favorably alter surface charges at both oil/brine and calcite/brine interfaces. These findings based on eletrokinetic interactions demonstrated good agreement with contact angle data wherein manganese ions in HSW were able to drastically decrease the contact angles from 156 to 88°. Conversely, insignificant changes in oil-water interfacial tensions were observed due to manganese ions. The manganese assisted spontaneous imbibition oil recoveries were increased by about 10% in HSW. Mn+2 ions showed the ability to increase the negative potentials at both calcite/brine and oil/brine interfaces. The obvious trend of such enhanced electrical potential due to Mn+2 addition at the calcite interface supports the claim that Mn+2 selectively gets incorporated into the calcite crystal to modify its surface chemistry. This is expected to increase the surface charges of same polarity at the two opposing interfaces and promote the electrostatic repulsion to inherently change the surface preference towards water-wet conditions. This work for the first time identified the favorable impact of incorporating Mn+2 ions under optimized conditions to enhance the wetting transition in carbonate reservoirs. Such new knowledge gained from this experimental study highlights the practical significance of Mn+2 ions as cheap and sustainable wettability modifiers for EOR applications in carbonate reservoirs.
通过加入二价外来金属来改善碳酸盐地层的润湿性,可以成为提高石油采收率(EOR)的一种经济实用的方法。在本研究中,研究人员将锰离子添加到高盐度水(HSW)和定制的稀浓度SmartWater中,以最大化界面潜力并促进碳酸盐岩储层的水湿条件。在本实验研究中,首先通过测量方解石悬浮液和油乳剂中的ζ电位来确定锰离子对方解石/盐水和原油/盐水界面上ζ电位的影响。使用了两种不同的水化学成分,分别是HSW (~ 60000 ppm TDS)和低盐度定制的SmartWater (~ 6000 ppm TDS)。然后,通过在储层条件下进行接触角和自吸测试,将测量扩展到碳酸盐岩和储层岩心。还测量了油水界面张力,以了解锰离子在油/盐水界面的相互作用。zeta电位结果显示,在高盐度水中添加100-1,000 ppm Mn+2离子(以MnSO4的形式)会影响碳酸盐中向水-湿条件的润湿过渡。在HSW中加入浓度为100- 1000ppm的Mn+2离子增强了电动力学相互作用,有利于改变油/盐水和方解石/盐水界面的表面电荷。这些基于电动力学相互作用的发现证明了与接触角数据的良好一致性,其中锰离子在HSW中能够将接触角从156°急剧降低到88°。相反,锰离子对油水界面张力的影响较小。在HSW中,锰辅助自发渗吸油的采收率提高了约10%。Mn+2离子在方解石/卤水界面和油/卤水界面均表现出增加负电位的能力。由于在方解石界面添加Mn+2而导致的这种明显的电势增强趋势支持了Mn+2选择性地掺入方解石晶体以改变其表面化学性质的说法。预计这将增加两个相反界面上相同极性的表面电荷,并促进静电斥力,从而固有地改变表面对水-湿条件的偏好。本研究首次发现了在优化条件下加入Mn+2离子对碳酸盐储层润湿转变的有利影响。从实验研究中获得的这些新知识凸显了Mn+2离子作为廉价、可持续的润湿性改进剂在碳酸盐岩储层提高采收率中的实际意义。
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引用次数: 0
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Day 2 Mon, November 29, 2021
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