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CCUS wellbore integrity risk assessment and management based on game theory combination weighting-DHHFLOWLAD 基于博弈论组合加权的CCUS井筒完整性风险评估与管理——dhhflowlad
IF 3.5 Q2 ENERGY & FUELS Pub Date : 2026-02-01 Epub Date: 2025-11-20 DOI: 10.1016/j.petlm.2025.11.003
Bing Qin , Wenjing Duan , Suhong Nan , Bing Liang , Zhanshan Shi , Jianfeng Hao
In response to the increasing risk of well integrity failure during carbon dioxide capture, utilization and storage (CCUS), a multi-index evaluation and recommendation model based on the game theory combination-authority-DHHFLOWLAD was proposed to achieve the risk assessment of well integrity in CCUS and the selection of risky well treatment solutions in the same model. Through literature research, reference to relevant safety standards and norms, and expert inquiries, the Bow-tie diagram of wellbore integrity failure was established, the wellbore failure mechanism was analyzed, and the dual-layer hesitation fuzzy language (DHHFL) characteristics were combined to screen evaluation indicators to construct the CCUS wellbore integrity risk evaluation index system. Experts were invited to use DHHFL data for complex language evaluation and expected value transformation. Game theory combined analytic hierarchy process (AHP) and entropy weight method were used to complete the optimization of comprehensive weights. The ordered weighted logarithmic mean distance (OWLAD) operator was introduced to aggregate the distance measurement between the well shaft and the scheme by combining the optimization weights of different indicators. Complete the recommendation of well risk assessment and management recommendations, and provide more accurate, scientific and practical guidance for CCUS well integrity evaluation and management.
针对二氧化碳捕集利用与封存(CCUS)过程中井完整性失效风险的增加,提出了基于博弈论组合-权威- dhhflowlad的多指标评价推荐模型,实现了CCUS井完整性风险评估,并在同一模型下选择风险井治理方案。通过文献研究,参考相关安全标准规范,结合专家咨询,建立井筒完整性破坏的蝴蝶结图,分析井筒破坏机理,结合双层犹豫模糊语言(DHHFL)特征筛选评价指标,构建CCUS井筒完整性风险评价指标体系。邀请专家使用DHHFL数据进行复杂语言评价和期望值转换。采用博弈论结合层次分析法(AHP)和熵权法完成综合权重的优化。引入有序加权对数平均距离算子(OWLAD),结合不同指标的优化权值,对井井与方案之间的距离测量值进行汇总。完成井风险评估和管理建议的推荐,为CCUS井完整性评估和管理提供更加准确、科学和实用的指导。
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引用次数: 0
Shale oil flow simulation considering laminar characteristics and desorption of ad-/absorbed oil from kerogen 考虑层流特征和干酪根脱吸的页岩油流动模拟
IF 3.5 Q2 ENERGY & FUELS Pub Date : 2026-02-01 Epub Date: 2025-12-05 DOI: 10.1016/j.petlm.2025.11.007
Xueqiang Guo , Mingzhe Dong , Qian Sang , Nana Song , Ke Wang
Laminated continental shale oil reservoirs have the potential for commercial development. In this paper, a new simulation method for interlayer and intra-layer coupled flow in laminated shale reservoirs is established. This method simulates the structural characteristics of shale-sandstone longitudinal interlayer distribution by dual-porositysystem, and combines with chemical reaction model to characterize the desorption process of ad-/absorbed oil from kerogen in shale layers. Then, the intra-layer and interlayer interfacial flow mechanism in the depletion process is investigated, and the contribution of interfacial flow and desorption is analyzed. The results indicate that the sandstone layer is the main oil-producing layer, accounting for over 90% of the total oil production. However, the interlayer flow and kerogen desorption in the shale layers make significant contributions, resulting in an enhancement of 13.41% and 42.64% in the total oil production, respectively. Additionally, the desorption of ad-/absorbed oil from kerogen enhances the energy of both the shale and sandstone layers, significantly increasing their production. Moreover, higher pressure drawdown, total organic carbon (TOC) content, desorption rate, and horizontal permeability of sandstone layers are advantageous for the exploitation of shale oil.
层状陆相页岩油藏具有商业开发潜力。本文建立了层状页岩储层层间和层内耦合流动的一种新的模拟方法。该方法利用双孔隙系统模拟了页岩-砂岩纵向层间分布的结构特征,并结合化学反应模型表征了页岩层中干酪根脱附油的脱附过程。然后,研究了层内和层间的界面流动机理,并分析了界面流动和脱附的贡献。结果表明,砂岩层为主要产油层,占总产油量的90%以上。而页岩层间流动和干酪根解吸作用对总产油量的贡献较大,分别提高了13.41%和42.64%。此外,从干酪根中脱附/吸收的油提高了页岩和砂岩层的能量,显著提高了它们的产量。较高的压降、总有机碳(TOC)含量、解吸速率和水平渗透率有利于页岩油的开发。
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引用次数: 0
Evolution law of physical parameters and hydrate reservoir productivity under multi-stage depressurization 多级降压下物性参数与水合物储层产能演化规律
IF 3.5 Q2 ENERGY & FUELS Pub Date : 2025-12-01 Epub Date: 2025-10-21 DOI: 10.1016/j.petlm.2025.10.002
Na Wei , Chao Zhang , Li Zhou , Shenghui Zhang , Shouwei Zhou , Liehui Zhang , Jinzhou Zhao , Richard B.Coffin , Bjørn Kvamme
In the process of gas hydrate depressurization production, the reasonable depressurization rhythm and depressurization amplitude have significant impact on improving production and reducing engineering geological risks. Considering the basic stability of the reservoir, this study constructs mathematical models of gas hydrate decomposition kinetics, multiphase flow in the reservoir, and the disintegration and migration of rock matrix particles containing hydrates. Based on actual data from the first trial production in Japan's Nankai Trough, the validity of the model has been verified. The study analyzed changes in reservoir physical properties and productivity under multi-stage depressurization conditions. The influence of different pressure reduction rhythms on productivity changes and the evolution laws of porosity, permeability and saturation over time and space were discussed. The research disclosed the multi-stage depressurization mode can modulate the decomposition rate and sand production rate of natural gas hydrates through the progressive reduction of reservoir pressure, guaranteeing production capacity while attaining sand production control and minimizing the risk of blockage, thereby striking a balance between production efficiency and sustainability. This study provides a crucial theoretical basis for the design optimization of natural gas hydrate depressurization extraction schemes. The research outcomes not only guide the parameter configuration optimization during depressurization but also offer scientific support for establishing production prediction models.
在天然气水合物降压生产过程中,合理的降压节奏和降压幅度对提高产量和降低工程地质风险具有重要影响。从储层的基本稳定性出发,构建了天然气水合物分解动力学、储层多相流动、含水合物岩石基质颗粒崩解迁移的数学模型。基于日本南开海槽首次试产的实际数据,验证了该模型的有效性。研究分析了多级降压条件下储层物性和产能的变化。讨论了不同减压节奏对产能变化的影响以及孔隙度、渗透率和饱和度随时间和空间的演化规律。研究表明,多级降压模式可以通过逐步降低储层压力来调节天然气水合物的分解速率和出砂速率,在保证产能的同时实现出砂控制,最大限度地降低堵塞风险,从而在生产效率和可持续性之间取得平衡。该研究为天然气水合物减压提取方案的设计优化提供了重要的理论依据。研究成果不仅指导了降压过程中参数配置的优化,而且为建立产量预测模型提供了科学依据。
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引用次数: 0
Application of organic cross-linked gel system for mitigating CO2 leakage from high temperature reservoirs 有机交联凝胶体系在减少高温油藏CO2泄漏中的应用
IF 3.5 Q2 ENERGY & FUELS Pub Date : 2025-12-01 Epub Date: 2025-11-14 DOI: 10.1016/j.petlm.2025.11.001
Mohd. Shahnawaz Alam, Rishabh Tripathi, Sandeep D. Kulkarni
This study aims to mitigate CO2 leakage in high-temperature reservoirs using an organic cross-linked gel system. The engineered fluid system was evaluated by a quantified rheological methodology and pore-plugging analysis. A sulfonated hydrolyzed polyacrylamide polymer and organic crosslinkers, hydroquinone and hexamethylenetetramine, were utilized for forming the fluid gel systems. The pressure cell assembly has been employed for the gel analysis at an elevated temperature of 110 °C under a pressurized CO2 environment. The high-temperature viscosity vs. aging time data acquired under continuous shear conditions (γ˙= 50 s−1) was ingeniously categorized into three regimes: (1) an induction period characterized by a lower linear slope of dμ/dt = 15–50 mPa·s/h; (2) a ‘non-linear’ transition regime; (3) a rapid cross-linking period characterized by a higher linear slope, i.e. dμ/dt ≥ 350 mPa·s/h. The ‘gelation time’, defined as the point of initiation of the rapid-crosslinking period, was successfully modelled for variations in polymer concentration utilizing first-order kinetics. The new outcomes of the high-temperature rheological investigation under the pressurized CO2 environment were compared with the traditional bottle-testing approach and oscillatory rheological studies. The core flooding results showed excellent plugging efficiency (>99%) for both sub-critical and super-critical CO2 injections beyond the ‘gelation time’ at 110 °C.
该研究旨在利用有机交联凝胶体系减少高温油藏中的二氧化碳泄漏。通过定量流变学方法和孔隙堵塞分析对工程流体体系进行了评估。一种磺化水解聚丙烯酰胺聚合物和有机交联剂对苯二酚和六亚甲基四胺被用于形成流体凝胶体系。压力电池组件已用于在加压CO2环境下110°C高温下的凝胶分析。在连续剪切条件下(γ˙50 s−1)获得的高温黏度与老化时间的数据,可分为三个阶段:(1)诱导期的线性斜率较低,为dμ/dt = 15 ~ 50 mPa·s/h;(2)“非线性”过渡机制;(3)快速交联期,线性斜率较大,即dμ/dt≥350 mPa·s/h。“凝胶时间”被定义为快速交联期的起始点,利用一级动力学成功地模拟了聚合物浓度的变化。将加压CO2环境下高温流变学研究的新成果与传统的瓶试方法和振荡流变学研究进行了比较。岩心驱油结果显示,在110°C的“胶凝时间”之后,亚临界和超临界CO2注入都具有优异的封堵效率(>99%)。
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引用次数: 0
A novel injectivity decline prediction model for waterflooding with analytical solutions and field applications 一种新的水驱注入能力下降预测模型及其解析解和现场应用
IF 3.5 Q2 ENERGY & FUELS Pub Date : 2025-12-01 Epub Date: 2025-10-27 DOI: 10.1016/j.petlm.2025.10.001
Huifeng Liu , Yuri Osipov , Zebo Yuan , Siqing Xu , Jorge Costa Gomes , Zhangxin Chen
Well injectivity decline during waterflooding is primarily attributed to retention of injected particles within pores, subsequently blocking flow channels in near-wellbore regions. Developing a predictive model to describe this problem holds significant value as it can inform the development of strategies aimed at preventing or mitigating such damage. Previous research has typically assumed a linear suspension flow or a constant filtration coefficient, which does not represent the near-wellbore suspension flow very well. In this paper, an analytical model for the radial suspension transport in porous media is derived based on the Langmuirian blocking filtration mechanism. Considering the dimensionless distance from the wellbore as a small parameter, we attain the analytical solution through an asymptotic expansion. To provide a basis for comparison, we also obtain numerical solutions using Shampine's code, which is based on the explicit central finite difference method. Comparison of the analytical and numerical solutions shows that their difference errors remain below 5% under waterflooding conditions. Based on the analytical solution for retained particle concentration, expressions for injection pressure, damage factor and damaged zone radius are also derived and are also expressed explicitly. In the end, we discuss two practical applications of our model: evaluation of existing acidizing jobs and designing new acidizing jobs, based on real field data from Tarim Basin, western China. The results indicate our model is practical in field operations.
在水驱过程中,井的注入能力下降主要是由于注入的颗粒滞留在孔隙中,从而阻塞了近井区域的流动通道。开发一个预测模型来描述这个问题具有重要的价值,因为它可以为旨在预防或减轻此类损害的策略的制定提供信息。以往的研究通常假设线性悬浮流动或恒定的过滤系数,这并不能很好地代表近井悬浮流动。本文基于朗穆里安阻塞过滤机制,推导了多孔介质中径向悬浮输运的解析模型。考虑到与井筒的无量纲距离是一个小参数,我们通过渐近展开得到解析解。为了提供比较依据,我们还使用基于显式中心有限差分法的Shampine代码获得了数值解。解析解与数值解的比较表明,在水驱条件下,两者的差值误差保持在5%以下。基于颗粒残留浓度解析解,导出了注入压力、损伤因子和损伤区半径的表达式,并给出了明确的表达式。最后,以塔里木盆地的实际现场数据为基础,讨论了该模型的两个实际应用:对现有酸化作业的评价和设计新的酸化作业。结果表明,该模型在野外作业中是实用的。
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引用次数: 0
Investigating the phase behavior of methane, ethane and their binary mixture confined in a 5 nm slit-like-pore with different wall types: Monte Carlo simulation study 研究甲烷、乙烷及其二元混合物在5 nm不同壁型的裂隙状孔中的相行为:蒙特卡罗模拟研究
IF 3.5 Q2 ENERGY & FUELS Pub Date : 2025-12-01 Epub Date: 2025-10-29 DOI: 10.1016/j.petlm.2025.10.004
Raafat Aborafia, Amir Hossein Saeedi Dehaghani
This study investigates the phase behavior of methane, ethane, and their binary mixture in both bulk and 5 nm slit-like pores with silica, anhydrite, calcite, dolomite, and montmorillonite walls using grand canonical Monte Carlo simulation (GCMC). The results show that vapor densities increase and, liquid densities decrease with the reduction of the pore width for both pure components and binary mixtures. The critical pressure and temperature decrease significantly in confined systems compared to bulk systems, with the rate of decrease varying depending on the type of surface. The response of critical density to surface type is distinct, and the critical density can be higher or lower than that in bulk systems. Furthermore, the dew point pressure of the confined binary mixture between two surfaces of silica, anhydrite, calcite, dolomite, and montmorillonite is higher than its value in bulk systems, while the bubble point pressure in confined systems can be lower, equal, or more than its value in bulk systems, depending on the pore surface and temperature.
本研究利用大规范蒙特卡罗模拟(GCMC)研究了甲烷、乙烷及其二元混合物在具有二氧化硅、硬石膏、方解石、白云石和蒙脱石壁的块状和5nm缝状孔隙中的相行为。结果表明:随着孔隙宽度的减小,纯组分和二元混合物的蒸汽密度增大,液体密度减小;与散装系统相比,密闭系统的临界压力和温度显著降低,降低的速率取决于表面的类型。临界密度对表面类型的响应是明显的,临界密度可以高于或低于块体体系。此外,二氧化硅、硬石膏、方解石、白云石和蒙脱石两种表面之间的密闭二元混合物的露点压力高于体积体系中的露点压力,而根据孔隙表面和温度的不同,密闭体系中的气泡点压力可能低于、等于或大于体积体系中的气泡点压力。
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引用次数: 0
Predicting drilling mud equivalent circulating density with precision: A critical review of modern approaches 精确预测钻井泥浆当量循环密度:现代方法的重要回顾
IF 3.5 Q2 ENERGY & FUELS Pub Date : 2025-12-01 Epub Date: 2025-11-28 DOI: 10.1016/j.petlm.2025.11.006
Okorie Ekwe Agwu , Saad Alatefi , Muhammad Aslam Md Yusof , Cosmas Brendan Orun
Equivalent circulating density (ECD) denotes the density of drilling mud during circulation within a well. It is determined by integrating the equivalent static density with the pressure loss attributable to friction between the flowing mud and the geological formation. The effective management of ECD is imperative during drilling operations, as it plays a critical role in preventing kicks and minimising mud losses. Mud ECD has undergone extensive investigation through laboratory experiments, field measurements, and predictive modelling. Nevertheless, a comprehensive review of the various predictive models associated with ECD remains absent. The objective of this study is to review and critique existing correlations for estimating ECD. To accomplish this, a thorough bibliometric analysis was performed, focusing on peer-reviewed journals, mud manuals, and oil and gas conference papers. For the sake of clarity, existing models were categorized into tables, with their principal features highlighted. A critique of each model was subsequently provided. In total, 45 models related to ECD were identified, reviewed, and critiqued. The findings reveal that over 44% of the models are based on machine learning (ML), 27% are analytical models, 16% are regression based models, and 13% are simulator-related. Although there is no universally accepted model for ECD, there is an observable trend towards the utilization of ML algorithms for ECD estimation due to their predictive capabilities. However, the interpretability of these ML-based models remains a significant concern. This review serves as a comprehensive source of information on ECD for both readers and industry practitioners. Additionally, it directs researchers towards areas requiring further exploration and aids drilling professionals in selecting appropriate ECD models.
当量循环密度(ECD)表示钻井泥浆在井内循环时的密度。它是通过将等效静密度与流动泥浆与地质地层之间的摩擦引起的压力损失积分来确定的。在钻井作业中,有效的ECD管理至关重要,因为它在防止井涌和减少泥浆损失方面起着至关重要的作用。通过实验室实验、现场测量和预测建模,对泥浆ECD进行了广泛的研究。然而,对与ECD相关的各种预测模型的全面审查仍然缺乏。本研究的目的是回顾和批评评估ECD的现有相关性。为了实现这一目标,进行了全面的文献计量分析,重点关注同行评审期刊、泥浆手册和油气会议论文。为了清晰起见,现有的模型被分类到表格中,突出显示了它们的主要特性。随后对每个模型都提出了批评。总共确定、审查和批评了45种与ECD相关的模型。研究结果显示,超过44%的模型是基于机器学习(ML)的,27%是分析模型,16%是基于回归模型,13%是模拟器相关的。虽然没有普遍接受的ECD模型,但由于ML算法的预测能力,使用ML算法进行ECD估计是一个可观察到的趋势。然而,这些基于ml的模型的可解释性仍然是一个值得关注的问题。本综述为读者和行业从业者提供了关于ECD的全面信息来源。此外,它还可以引导研究人员走向需要进一步勘探的区域,并帮助钻井专业人员选择合适的ECD模型。
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引用次数: 0
Improving the gas condensate recovery through wettability alteration to gas-wet during gas recycling via dispersion of nanoparticles in gas 通过纳米颗粒在气体中的分散,将气体循环过程中的润湿性改变为气湿性,从而提高凝析气的采收率
IF 3.5 Q2 ENERGY & FUELS Pub Date : 2025-12-01 Epub Date: 2025-10-22 DOI: 10.1016/j.petlm.2025.10.003
Naser Namdari Garaghani , Asghar Gandomkar , Amin Azdarpour
This research investigates the role of dispersion of nanoparticles in gas during gas recycling process to improve the gas condensate recovery via altering the carbonate reservoirs wettability. The nanoparticles were synthesized and analyzed using dynamic light scattering (DLS), energy-dispersive X-ray (EDX), and transmission electron microscopy (TEM). After that, the dispersion of nanoparticles in methane was investigated by cloud point pressures measurement. Also, the effectiveness of methane/nanoparticles solutions was assessed through the contact angle experiments and gas recycling process. Based on the cloud point pressures results, the nanoparticles can be dispersed in methane at pressures commensurate with hydrocarbon reservoirs. Gas/nanoparticles single-phase solutions increased the contact angles of gas condensate and n-decane from 12° to 121° and 135.5°, respectively, for fluorinated silica, and to 100.5° and 108° for fluorinated titania. The shift from oil-wet to gas-wet conditions enhanced the recovery factor from 55% to 76%, marking a 21% improvement in gas condensate recovery during gas recycling. Furthermore, the pressure drop ratio decreased by 60%, due to better surface wettability and reduced condensate blockage. Comparative results indicated that the dispersion of fluorinated silica nanoparticles in gas outperformed fluorinated titania in altering wettability. These results emphasize the potential of current new approach, through dispersion of fluorinated nanoparticles in gas; to improve gas condensate recovery during gas recycling, especially in low-permeability carbonate reservoirs.
研究了纳米颗粒在天然气回收过程中的分散作用,通过改变碳酸盐岩储层的润湿性来提高凝析气采收率。利用动态光散射(DLS)、能量色散x射线(EDX)和透射电子显微镜(TEM)对纳米颗粒进行了合成和分析。然后,通过云点压力测量研究了纳米颗粒在甲烷中的分散。此外,通过接触角实验和气体回收工艺,评价了甲烷/纳米颗粒溶液的有效性。根据云点压力结果,纳米颗粒可以在与油气藏相适应的压力下分散在甲烷中。气体/纳米颗粒单相溶液使气凝析液和正癸烷的接触角分别从12°增加到121°和135.5°,氟化二氧化钛的接触角分别增加到100.5°和108°。从油湿条件到气湿条件的转变将采收率从55%提高到76%,在天然气回收过程中,凝析油采收率提高了21%。此外,由于更好的表面润湿性和减少冷凝水堵塞,压降比降低了60%。对比结果表明,氟化二氧化硅纳米颗粒在气体中的分散效果优于氟化二氧化钛。这些结果强调了当前新方法的潜力,通过氟化纳米颗粒在气体中的分散;提高再循环过程中凝析气的采收率,特别是在低渗透碳酸盐岩储层中。
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引用次数: 0
Optimizing drilling efficiency: Comparative study of stick-slip vibration of steel and aluminum drill strings 优化钻井效率:钢钻柱与铝钻柱粘滑振动的对比研究
IF 3.5 Q2 ENERGY & FUELS Pub Date : 2025-12-01 Epub Date: 2025-10-14 DOI: 10.1016/j.petlm.2025.09.005
Chinedu Ejike , Khizar Abid , Chinedu J. Okere , Catalin Teodoriu
This study investigates the torsional stick-slip behavior of steel and aluminum drill strings under varying levels of aggressiveness, which refers to the intensity with which the drill bit interacts with the rock formation. Aggressiveness is primarily influenced by critical factors such as torque on bit (TOB), weight on bit (WOB), and rotational speed (RPM). It is quantitatively expressed as the ratio of TOB to WOB, a key determinant in the drilling process that influences how effectively the bit penetrates the formation. A small-scale drill string model was developed and tested under varying aggressiveness and RPMs using a numerical simulator. The objective was to assess how the different materials respond to torsional stick-slip vibrations across a range of operational parameters. The simulations were conducted over 30 s intervals with both stable and varying RPMs, allowing for a detailed comparison of the material's dynamic behaviors. The RPM limits, which indicate the maximum RPM beyond which severe stick-slip occurs, were calculated for both materials. Results revealed that steel drill strings exhibited superior stability, with fewer torsional oscillations and shorter sticking periods, particularly at higher aggressiveness ratios. While aluminum drill strings, being lightweight, showed greater susceptibility to torsional oscillations, especially at lower rotational speeds, leading to longer periods of stick-slips. Also, as the aggressiveness reduces, the RPM limits for both materials increases. This emphasizes the importance of identifying optimal RPM limits and material selection to minimize vibrations and improve drilling efficiency.
本研究研究了钢和铝钻柱在不同侵略性水平下的扭转粘滑行为,侵略性指的是钻头与岩层相互作用的强度。侵略性主要受钻头扭矩(TOB)、钻压(WOB)和转速(RPM)等关键因素的影响。它被定量地表示为钻压与钻压的比值,这是钻井过程中影响钻头钻入地层效率的关键决定因素。开发了一个小型钻柱模型,并使用数值模拟器在不同的侵略性和rpm下进行了测试。目的是评估不同材料在一系列操作参数下对扭转粘滑振动的反应。模拟在30秒的时间间隔内进行,既有稳定的转速,也有变化的转速,从而可以详细比较材料的动态行为。转速限制,这表明最大转速超过严重粘滑发生,计算了两种材料。结果表明,钢钻柱具有更好的稳定性,具有更少的扭转振荡和更短的粘滞时间,特别是在较高的侵蚀比下。而铝制钻柱由于重量轻,更容易受到扭转振荡的影响,特别是在较低的转速下,导致粘卡的持续时间更长。此外,随着侵蚀性的降低,两种材料的RPM限制都增加了。这强调了确定最佳转速限制和材料选择的重要性,以最大限度地减少振动并提高钻井效率。
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引用次数: 0
A multi-zone characterization-based framework for effective storage capacity evaluation in water-bearing reservoirs 基于多区域化特征的含水储层有效库容评价框架
IF 3.5 Q2 ENERGY & FUELS Pub Date : 2025-12-01 Epub Date: 2025-11-29 DOI: 10.1016/j.petlm.2025.11.004
Junyu You , Xingxin Jiang , Xiaoliang Huang , Qiqi Wanyan , Ziang He , Songze Li , Hongcheng Xu
The construction and operation of gas reservoir-type underground gas storage (UGS) facilities play a pivotal role in ensuring the safety and stability of natural gas supply. For gas reservoirs with edge or bottom water, the subsurface gas-water two-phase flow dynamics and high-speed injection/withdrawal (I/W) processes result in complex distributions of gas and water within the reservoir layers. Additionally, the boundaries of multiphase flow zones are often poorly defined, and the pore volume utilization efficiency (PVUE), which directly impacts effective storage capacity, remains difficult to quantify. These challenges hinder the accurate evaluation of gas storage capacity and complicate the design of optimal construction and operational parameters for UGS facilities. To address these issues, this study proposes an integrated approach combining multi-cycle I/W experiments, numerical reservoir simulations, and the mass balance method to accurately assess UGS storage capacity. The methodology was applied to an active UGS facility constructed in a water-bearing gas reservoir in northwestern China. The gas-bearing reservoir was categorized into four distinct flow zones: the gas zone, the gas-displacing-water zone, the transition zone, and the water zone. Key factors influencing immobile gas-bearing pore volume—such as water invasion and stress sensitivity—were identified for each zone. A mathematical model was developed to predict immobile gas-bearing pore volume, and a quantitative model was established to estimate effective gas storage space (underground) by incorporating PVUE variations across different flow zones. These models provided theoretical foundations for designing UGS construction and operational strategies. The results demonstrated: (1) After six I/W cycles, the measured PVUE in the gas zone was 99.3% and 94.9% for blocks B1 and B2, respectively. In the gas-displacing-water zone, the PVUE was 80.9% and 73.8%, while in the transition zone, it was 47.9% and 40.3%. (2) The total gas-bearing pore volume of the UGS was 9.65 million rm3 (subsurface conditions), with an effective gas storage space of 5.39 million rm3 after accounting for PVUE variations across flow zones. (3) Numerical simulations confirmed that the proposed UGS operational design would achieve a total inventory of 8.24 × 108 sm3 (surface conditions) and an effective storage capacity of 6.67 × 108 sm3. This study provided a robust framework for evaluating and optimizing UGS storage capacity in water-bearing gas reservoirs, offering valuable insights for the design and operation of such facilities.
气藏型地下储气库设施的建设和运行对保障天然气供应的安全稳定起着至关重要的作用。对于边水或底水气藏,由于地下气水两相流动动力学和高速注采过程,导致储层内气水分布复杂。此外,多相流区的边界往往不明确,而直接影响有效储气容量的孔隙体积利用效率(PVUE)仍然难以量化。这些挑战阻碍了对储气能力的准确评估,并使UGS设施的最佳结构和操作参数的设计复杂化。为了解决这些问题,本研究提出了一种结合多循环I/W实验、数值油藏模拟和质量平衡方法的综合方法,以准确评估UGS的存储容量。将该方法应用于中国西北某含水气藏中的UGS活动设施。将含气储层划分为4个不同的流动带:气驱水带、气驱水带、过渡带和水带。确定了影响非可动含气孔隙体积的关键因素,如水侵和应力敏感性。建立了预测不动含气孔隙体积的数学模型,并结合不同流层的PVUE变化,建立了估算有效储气空间(地下)的定量模型。这些模型为地下地质测量站建设和运行策略的设计提供了理论依据。结果表明:(1)经过6次I/W循环后,B1区块和B2区块含气区实测PVUE分别为99.3%和94.9%。气驱水带的PVUE分别为80.9%和73.8%,过渡带的PVUE分别为47.9%和40.3%。(2) UGS含气总孔隙体积为965万rm3(地下条件),考虑不同流层PVUE差异后,有效储气空间为539万rm3。(3)数值模拟结果表明,UGS运行设计的总库存量为8.24 × 108 sm3(地表条件),有效库存量为6.67 × 108 sm3。该研究为评估和优化含水气藏的UGS储存能力提供了一个强大的框架,为此类设施的设计和运营提供了有价值的见解。
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